APPENDIX 9.1 ENTRAINMENT

Size: px
Start display at page:

Download "APPENDIX 9.1 ENTRAINMENT"

Transcription

1 APPENDIX 9.1 ENTRAINMENT

2 Appendix 9.1 Entrainment Effects of the Proposed United Water Treatment Plant A. INTRODUCTION As a consequence of withdrawing Hudson River water through the intake, small aquatic organisms largely zooplankton, eggs, and larval fish entrained in the water withdrawn would be removed and lost. In an effort to minimize the loss of these organisms, it is proposed that the facility s pumping station be equipped with a cylindrical wedge-wire screen. The 15 inch long by 4.5 inch diameter screen is designed to limit through-screen velocities to 0.5 fps with an approach velocity of less than 0.25 fps. The screen assembly would be oriented longitudinally parallel to the river flow. The vertical spacing of the wire mesh screening would be 2 mm. Due to the small screen mesh size, only organisms with a minimum body dimension of less than 2 mm would be entrained into the facility. The low approach and through-screen velocities, coupled with the relatively high cross currents sweeping across the screen face, will make it unlikely that any organisms would become trapped (impinged) on the screen face. This analysis examined the number of fish potentially lost at the facility under a constant 10 MGD 24 hours a day water withdrawal scenario. This scenario is conservative because it assumes 10 MGD withdrawal throughout the year. Actual operations may require lower withdrawals during the fall and winter months. Another withdrawal scenario was considered that would have examined a withdrawal of 20 MGD with pumping for 12 hours per day on ebb tides. However, available data from prior Hudson River Sampling programs would not support an evaluation of entrainment over various tidal stages (i.e., tide-specific density data were not available). Consequently, it is not possible to discern differences in density over various phases of the tide. As a result, this withdrawal scenario was not examined. The focus of the analysis is on six key fish taxa common to the Lower Hudson River estuary: bay anchovy, river herring (blueback herring and alewife), American shad, Atlantic tomcod, striped bass, and white perch. Abundance data for these species was drawn from the 1974 to 2006 Hudson River Utilities Longitudinal River Ichthyoplankton Sampling Program (Long River Program) database. In the case of blueback herring and alewife, length-frequency information was not collected as part of the Long River Program. To complete this missing information, length-frequency information was used from a similar sampling program in the Delaware River. For all species, life history parameters and morphometric data were obtained from the scientific literature, particularly USFWS (1978). B. METHODS Two methods were used to assess the effects of entrainment due to the 10 MGD withdrawal described above. The first method used information on life stage specific natural mortality rates and durations to convert the entrainment losses of early life stages into equivalent losses of one-year-old fish for each target species (i.e., equivalent losses). The second expresses the potential losses due to entrainment as a fraction (i.e., conditional mortality rate) of the species population in the Hudson River in the fall of the first year of life. The equivalent losses and conditional mortality rate models are generally accepted methods used in fisheries management and impact assessment for setting acceptable loss levels for specific activities that may adversely affect fish species and determining significance of impacts to fish populations. 1

3 Equivalent losses Early life stages of fish typically have very high natural mortality rates. These rates frequently differ vastly from one stage to the next. As a result, losses of juveniles, with a higher probability of survival to adulthood, are more critical to species populations than are losses of younger life stages such as eggs that suffer much lower rates of survival. This difference in survival probability makes it more difficult to accurately assess and compare the effect to fish populations due to losses across various life stages. To adjust for the influence of the high natural mortality rates among younger life stages, projected numbers of individuals of a particular life stage entrained (i.e., direct losses of fish eggs, larvae, and juveniles less than one year old), are converted into units of individual one-year-old fish. This process allows for a straightforward comparison of losses among various life stages and places the losses in a frame of reference more familiar to fisheries managers. Conditional mortality rate (CMR) The second modeling method expresses entrainment losses relative to the size of the source population. This is done by calculating the conditional mortality rate (CMR) (i.e., the fraction of the population lost due to entrainment in the absence of all other sources of mortality). The calculations are conducted using a modification of the Empirical Transport Model (ETM) (Boreman, et al. 1978). As described above, the primary data source for the assessment of entrainment losses was the Hudson River Utilities Longitudinal River Program. The long river survey was designed to collect representative ichthyoplankton data from regions within the Hudson River from the Battery to the Troy Dam (13 regions). Earlier years of the Long River Survey collected data from Yonkers to the Troy Dam (12 regions). The names, locations, and volumes of the regions are shown in Table 1. The proposed pumping station for the water treatment plant is located 1000 feet from the western shore of Haverstraw Bay in the vicinity of the U.S. Gypsum plant and therefore will withdraw water from the Croton-Haverstraw region (River Miles 34-38). Each region of the Long River Survey is further subdivided into sampling strata (shoals, channel and bottom). The shoals consist of waters from the shore to a water depth of 20 feet. Beyond a water depth of 20 feet, the water is divided into a bottom stratum (the lower 10 feet) and a channel stratum (from the water surface to 10 feet from the bottom). DIRECT AND EQUIVALENT ENTRAINMENT LOSSES Direct daily entrainment through the wedge-wire screen was computed by multiplying the intake flow (Q) by the density of organisms (D) in a given life stage and the fraction of organisms that are smaller than the cutoff length (i.e., 2 mm) for the wedge-wire screen. E s,d,sp,l = (Q d *P s )*D s,d,sp,l *f w,sp *E -1 (Equation 1) where E s,d,sp,l = entrainment on day d of species sp for life stage l from stratum s Q d P s = daily intake flow on day d = proportion of the intake flow from stratum s D s,d,sp,l = density of life stage l of species sp in stratum s on day d f w,sp E = the fraction of life stage l of species sp that is entrained during week w = efficiency of ichthyoplankton sampling gear 2

4 The cylindrically shaped wedge-wire screen will be 4.5 feet in diameter and mounted on a riser assembly with the main axis parallel to the river bottom. The axis of the assembly will be approximately 10 feet from the river bottom. Therefore, the screen will be located about 8 to 12 feet from the river bottom. Consequently, the screen is expected to withdraw water only from the bottom and channel strata as defined in the Long River Survey. The entrainment estimates were calculated by withdrawing half of the water from the bottom strata and half from the channel strata (i.e., P bottom = 0.5, P channel = 0.5). The concentration (or density) of a given species and life stage, D s,d,sp,l, is available from the Long River Survey program. This program is conducted weekly from March through November and was designed to provide average densities of life stages within regions and strata over time. The fraction, f w,sp, of a given life stage and species that is entrainable during each week was calculated from weekly cumulative length frequency distributions of each species and the estimated maximum entrainable length. Given the mesh size of the wedge-wire screen (2 mm), the maximum entrainable length for each species was calculated using regression equations relating Total Length (TL) to the β maximum body depth (D) (see Table 2). These equations took the form: D = αtl where α and β are regression coefficients. The equation was then solved for the value of TL yielding a D value of 2.0. It was assumed that any fish above the maximum TL would not be entrained while any fish below this size would be entrained. The f w,sp, values were calculated and applied only to the post yolk sac and juvenile life stages because all eggs and yolk-sac larvae are assumed to be small enough to be entrained through the 2 mm slots. The efficiency of the Long River Sampling Program collection gear, 1-m 2 Tucker Trawl and 1-m 2 Epibenthic Sled, both with 505 micron mesh, has not been thoroughly evaluated. The findings, however, of PSEG (2005) can be used to estimate the sampling efficiency of the Hudson River sampling gear. Considering both net vulnerability and mesh retention, PSEG (2005) reported a maximum gear efficiency of approximately 85% for ichthyoplankton 8 mm in Total Length. Efficiencies decreased from this value at both greater and lesser lengths. For the present analysis, an overall gear efficiency of 70 percent was assumed for all yolk-sac and post-yolk-sac larvae. Gear efficiency values for juveniles are not needed in the present assessment as those individuals are to large to be entrained. As described above, estimates of direct entrainment loss (i.e., numbers entrained of each lifestage) are difficult to interpret in terms of impact. A more meaningful measure of entrainment effects can be calculated by converting the numbers entrained of each life stage to Age 1 Equivalents. These Equivalents represent the number of organisms lost to entrainment which would have survived to become one-year old had they not been entrained. The calculation of Age 1 Equivalents is carried out in the following manner: The number of Age 1 Equivalents due to entrainment of eggs is: EA s,d,sp,e = (E s,d,sp,l )*S e *S ysl * S pysl * S juv (Equation 2) where EA s,d,sp,e = Age 1 Equivalents from entrainment of eggs on day d for species sp E s,d,sp,e S e S ysl = entrainment of eggs of species sp for life stage l from stratum s on day d = survival of eggs from time of entrainment to end of egg life stage = survival of entrained eggs through the yolk-sac larval stage 3

5 S pysl S juv = survival of entrained eggs through the post-yolk-sac larval stage = survival of entrained eggs through the juvenile larval stage The survival of eggs through the egg stage is: S e = exp (-k e *(Δt e dhat e )) (Equation 3) where k e Δt e = daily instantaneous mortality rate of eggs = duration of the egg life stage dhat e = average age of eggs (= [ln(2) ln(1+exp(-k e *Δt e ))]/ k e ) The formulation for dhat results because the amount of time an organism has been in a life stage prior to entrainment is unknown. Therefore, the average age of an organism (age at which half of organisms in life stage are younger and half are older) in a life stage is used. The survivals of entrained eggs through the yolksac and post-yolksac stage are: S ysl = exp (-k ysl *(Δt ysl )) (Equation 4) S pysl = exp (-k pysl *(Δt pysl )) (Equation 5) where k ysl = daily instantaneous mortality rate of yolk-sac larvae k pysl = daily instantaneous mortality rate of post-yolk-sac larvae Δt ysl = duration of the yolk-sac larval life stage Δt pysl = duration of the post-yolk-sac larval life stage The survival of entrained eggs through the juvenile stage is: S juv = exp (-k juv *(Δt juv )) (Equation 6) where k juv = daily instantaneous mortality rate juvenile larvae 4

6 Δt juv = duration of the yolk-sac larval life stage The duration of the juvenile life stage, Δt juv, is variable because it begins when the entrained eggs have passed through the remainder of their life stage, Δt e dhat e, as well as the yolk-sac and post-yolk-sac larval stages, Δt ysl + Δt pysl, and ends on a fixed date in the following year, termed the birthdate (bd sp ), when the juveniles become age-1 adults. The equation used to compute the juvenile life stage duration is: Δt juv = (bd sp + 365) (d + (Δt e dhat e ) + Δt ysl + Δt pysl ) (Equation 7) where bd sp = the birthdate for species sp expressed as a Julian date d = the day on which the egg entrainment occurred expressed as a Julian date The total equivalent adults resulting from all egg entrainment of species sp is simply: EA sp,e = EA b,d,sp,e + EA c,d,sp,e, for d from 1 to 365 (Equation 8) The subscripts b and c in the above equation refer to the bottom and channel strata respectively. The equivalent adults resulting from entrainment of other life stages is computed in a similar manner. The total equivalent adults resulting from entrainment of all early life stages of species sp is: EA sp = EA sp,e + EA sp,ysl + EA sp,pysl + EA sp,juv (Equation 9) The values used for the instantaneous mortality rates and stage durations for the species considered are shown in Table 3. CONDITIONAL MORTALITY RATE In the ETM, relative entrainment is computed by assuming an arbitrary starting population of a species in all regions and applying a distribution or D-factor to determine the relative proportion of a population in the pumping station region. The relative numbers entrained, based on the starting population, are then used to calculate the reduction in the population at the end of the entrainment period and compared to the ending population without any withdrawal to estimate the reduction in the population due to the facility. 5

7 The relative entrainment is calculated for each region on a daily basis as: RE r,d,sp,l = [(Q d *P r )*Dfact r,w,sp,l * Ffact d,sp,l ]*W d,sp,l *f w,sp (Equation 10) where RE s,d,sp,l = relative entrainment on day d of species sp for life stage l from region r Q d P r = daily intake flow on day d = proportion of the intake flow from region r Dfact r,w,sp,l = proportion of life stage l of species sp in region r during week w Ffact d,sp,l = the mortality fraction of entrained organisms of life stage l of species sp during day d W d,w,sp,l f w,sp = ratio of intake density to region density for life stage l of species sp in region r during day d = the fraction of life stage l of species sp that is entrained during week w P r, the proportion of the intake flow from region r, was set to 1 for the Croton-Haverstraw region and 0 for all other regions since all of the intake flow is withdrawn from this region. The D-factor, Dfact r,w,sp,l, is computed internally in the ETM for each life stage and is based on the region volumes and the average regional densities of each life stage and is measured in the long river program. The F-factor, Ffact w,sp,l, represents the fraction of entrained organisms that do not survive the entrainment process. Since the intake withdrawal flow is not returned to the Hudson River, the F-factor was set to 1 for all life stages, i.e., 100 percent mortality is assumed. The W-factor, W,w,sp,l, represents the ratio of the density of organisms in the intake compared to the density of organisms in the region. Because the intake will withdraw from two of the three strata (the bottom and channel strata) in the Croton-Haverstraw region, which represent 63.5 percent of the region volume, the W-factor was equated to the ratio of the average density in the bottom and channel strata (0.5 D b,d,sp,l D c,d,sp,l ) to the average density in all strata in this region and 0 for all other regions. The fraction of a life stage of species sp that is entrained through the wedge-wire screen during week w, f w,sp, was used in the same fashion as in the calculation of entrainment abundance discussed above. The entrainment CMR is computed for each life stage and combined to yield an overall CMR as follows: CMR t = 1 (1-CMR e )* (1-CMR ysl )* (1-CMR pysl )* (1-CMR juv ) (Equation 11) where CMR t = the fractional reduction in population due to entrainment of all life stages 6

8 CMR e = the fractional reduction in population due to entrainment of eggs CMR ysl = the fractional reduction in population due to entrainment of yolk-sac larvae CMR pysl = the fractional reduction in population due to entrainment of post-yolk-sac larvae CMR juv = the fractional reduction in population of due to entrainment of juveniles The CMR s of each life stage are computed as: CMR l = (N l,w/o - N l,w ) / N l,w/o (Equation 12) where N l,w/o = the population of lifestage l without entrainment due to the intake N l,w = the population of lifestage l with entrainment due to the intake C. RESULTS BAY ANCHOVY Bay anchovy is a small forage fish generally frequenting the higher salinity portions of the estuary. It is most abundant during the spring and summer when spawning occurs. Based on the year-round 10 MGD scenario, density data from 1974 to 2006 yield an average total annual entrainment of egg and larval bay anchovy. (Table 4). Using the more recent 2000 to 2006 data only, total losses average These values correspond to 37,000 and 32,000 Age 1 equivalents, respectively. As a percentage of the total population, these losses represent approximately 0.10 percent and 0.09 percent of the population between RM 0 and RM 152 (Table 5). AMERICAN SHAD Adult American shad ascend the Hudson River in the spring to spawn in the upper reaches of the river and its tributaries. Most early life stages are found well upriver of the Croton-Haverstraw region. The juveniles emigrate in the fall, typically during late October through November. Based on the 1974 to 2006 density data, full year-round 10 MGD pumping yields an estimated average of 761 early life stage American shad entrained (Table 6). In recent years, the American shad population has declined. Correspondingly, using just the 2000 to 2006 densities, an estimated 314 eggs and larvae would be entrained. In either case, the entrainment loss equates to only a single Age 1 equivalent. Based on the CMR results, these entrainment losses represent less than percent of the Hudson River American shad population (Table 7). STRIPED BASS Like American shad, adult striped bass ascend the Hudson River in early spring to spawn. Unlike shad, however, bass spawn in the mid regions of the estuary, including the Croton-Haverstraw region. After spawning, eggs and larvae begin drifting downstream, often following closely the salt front as it moves upstream and downstream with river flows and tides. 7

9 Based on the 1974 to 2006 data, an estimated eggs and larvae would be entrained through the wedge-wire screens (Table 8). This equates to approximately 3,028 Age 1 equivalents. In recent years, the Hudson River striped bass population has been increasing. Using data from 2000 to 2006, therefore, yields somewhat higher losses approximately eggs and larvae or 5,681 Age 1 equivalents. Conditional mortality rates indicate that the entrainment losses comprise only a very small fraction of the Hudson River striped bass population. Based on the 1974 to 2006 density data, those losses represent approximately percent of the population (Table 9). A similar fraction, percent, was found for the 2000 to ATLANTIC TOMCOD Atlantic tomcod is a relatively small bottom-oriented species endemic to the cold waters of New England and Maritime Canada. In the Hudson River, it is near the southern limit of its distribution. Adult Atlantic tomcod ascend the Hudson River in mid-winter with peak spawning during January and February. Early larval stages are generally found downstream of the salt front. Based on the 1974 to 2006 data, an estimated eggs and larvae would be entrained through the wedge-wire screen (Table 10). This equates to approximately 35 Age 1 equivalents. Using data from 2000 to 2006, yields somewhat higher losses approximately larvae or 60 Age 1 equivalents. Conditional mortality rates indicate that the entrainment losses comprise only a very small fraction of the Hudson River Atlantic tomcod population. Based on the 1974 to 2006 density data, those losses represent approximately percent of the population (Table 11). A similar fraction, percent, was found for the 2000 to 2006 data. WHITE PERCH White perch is an abundant year-round resident of the Hudson River between New York City and Albany. During spring, white perch migrate upriver to spawn. Spent adults move back downriver to areas of higher salinity in the Croton-Haverstraw and Tappan Zee regions. Larvae begin to disperse downriver in July. By late summer and early fall, the young-of-year move to deeper offshore areas of the middle and lower estuary to overwinter (EA EST 1995; Klauda, et.al. 1995). Based on the 1974 to 2006 data, an estimated eggs and larvae would be entrained through the wedge-wire screen (Table 12). This equates to approximately 1005 Age 1 equivalents. Using data from 2000 to 2006, yields somewhat lower losses approximately eggs and larvae or 894 Age 1 equivalents. Conditional mortality rates indicate that the entrainment losses comprise only a very small fraction of the Hudson River white perch population. Based on the 1974 to 2006 density data, those losses represent approximately percent of the population (Table 13). A similar fraction, percent, was found based on the 2000 to 2006 data. RIVER HERRING The alewife (Alosa pseudoharengus) and blueback herring (Alosa aestivalis) are closely related species with similar distributions, ecological roles and environmental requirements. The eggs and larvae of these species are often indistinguishable and are thus collectively referred to as Alosa spp. All of the abundance data collected in the long river program of the early life stages of these species are treated as such and this collective reference also includes river herring. Thus, for the purposes of this analysis, the alewife and blueback herring will be examined together as river herring. Within the Hudson River, alewife and blueback herring spawn primarily in the Catskill and Albany regions beginning in April (EA EST 1995). Yolk-sac and post-yolk-sac larvae are most abundant in the upper estuary, though the larvae will eventually disperse downriver. Post-yolk-sac larvae have been found as far south as the Battery region (RKM 1-19) in early June. By late June and July, juvenile alewife and blueback herring are found primarily in the middle estuary region (EA EST 1995). 8

10 Based on the 1974 to 2006 data, an estimated eggs and larvae would be entrained through the wedge-wire screen (Table 14). This equates to approximately 254 Age 1 equivalents. Using data from 2000 to 2006, yields somewhat higher losses approximately eggs and larvae or 264 Age 1 equivalents. Conditional mortality rates indicate that the entrainment losses comprise only a very small fraction of the Hudson River river herring population. Based on the 1974 to 2006 density data, those losses represent approximately percent of the population (Table 15). A similar percentage, percent, was found for the 2000 to 2006 data. D. DISCUSSION The modeling results summarized above indicate that the projected water withdrawals due to the proposed project will have minimal effects on the key fish populations in the Hudson River. The relatively small effects of the proposed facility are not surprising because the proposed 2.0-mm wedge-wire screen represents state of the art technology for reducing the effects of water withdrawals on fish populations. In fact, the screen eliminates impingement impacts completely and minimizes entrainment by preventing juveniles and some post-yolk-sac larvae from entering the intake. While the estimates of numbers of eggs and larvae entrained are small compared to other water withdrawals on the Hudson, their population effects are difficult to interpret until they are translated into an equivalent number of Age 1 fish. The Equivalent Loss estimates show numbers less than 10,000 for all species except bay anchovy, for which the equivalents are less than 40,000. These are small absolute numbers and are also small compared to estimates of population size and yield to the fisheries which are in the millions. The bay anchovy losses are a very small portion of the large coastal population that is the source of the bay anchovy that enter the Hudson. As discussed above, the estimates of CMR represent the fractional reduction in the population after entrainment in the absence of other sources of mortality. The CMR values range from percent to percent confirming the extremely small projected effect on the populations studied. 9

11 E. LITERATURE CITED Boreman, J., C.P. Goodyear, and S.W. Christensen An Empirical Transport Model for Evaluating Entrainment of Aquatic Organisms by Power Plants. U.S. Fish and Wildlife Service, Biological Services Program, National Power Plant Team, FWS/OBS-78/90. EA Engineering, Science, and Technology (EA EST) Year Class Report for the Hudson River Estuary Monitoring Program. Prepared for Consolidated Edison Company of New York, Inc. PSEG Nuclear LLC (PSEG). July Fish Sampling Gear: A Review of Sampling Efficiency. Lawler, Matusky & Skelly Engineers LLP. United States Fish and Wildlife Service (USFWS) Development of the Fishes of the Mid-Atlantic Bight: An Atlas of Egg, Larval and Juvenile Stages. Chesapeake Biological Laboratory, Center for Environmental and Estuarine Studies, University of Maryland. Prepared for U.S. Fish and Wildlife Service. FWS/OBS-78/12. U.S. Government Printing Office, Washington, D.C. 10

12 F. TABLES Geographic Region Table 1 Stratum and Regional Volumes of Sampling Regions of Hudson River River Miles Channel Volume (m 3 ) Bottom Volume (m 3 ) Shoal Volume (m 3 ) Region Volume (m 3 ) Battery (BT) ,809,822 48,455,129 18,747, ,012,784 Yonkers (YK) ,452,543 59,312,978 26,654, ,420,288 Tappan Zee (TZ) ,000,768 62,125, ,684,99 321,811,465 2 Croton Haverstraw (CH) ,309,016 32,517,633 53,910, ,736,754 Indian Point (IP) ,269,472 33,418,632 12,648, ,336,267 West Point (WP) ,830,022 25,977,862 2,647, ,455,769 Cornwall ,882,267 36,768,629 8,140, ,791,019 Poughkeepsie ,975,052 63,168,132 5,990, ,133,444 Hyde Park ,165,041 32,012,000 2,307, ,484,666 Kingston ,657,021 35,479,990 12,332, ,469,879 Saugerties ,143,296 42,845,077 20,307, ,295,711 Catskill ,914,081 42,281,206 34,526, ,721, Albany ,025,080 13,517,183 25,606,842 71,149,105 Totals 1,603,433, ,880, ,505,25 7 2,476,818,894 Species Table 2 Entrainable Lengths of 2 mm Wedge-Wire Screen Entainable Length 2,3 (mm) Body Depth Coefficients 1 α β Alewife American Shad Atlantic Tomcod Bay Anchovy Blueback Herring Striped Bass White Perch River Herring Notes: 1 D = α*tl β ; D = Body Depth (mm), TL = Total Length (mm) 2 setting D = Mesh size and solving for TL yields the Entrainable Length, L e 3 Le = (M/α) (1/β) ; L e = Entrainable length as total length, M = mesh size (mm) 4 Average of alewife and blueback herring 11

13 Table 3 Life History Parameters Used in Entrainment and ETM Modeling Species Birthdate Stage Duration (days) Mortality Rate (day -1 ) Survival (%) Alewife Apr 1 eggs % yolk-sac % post yolk-sac % juvenile % American Shad Apr 1 eggs % yolk-sac % post yolk-sac % juvenile % Atlantic Tomcod Jan 1 eggs % yolk-sac % post yolk-sac % juvenile % Bay Anchovy May 1 eggs % yolk-sac % post yolk-sac % juvenile % Blueback Herring May 1 eggs % yolk-sac % post yolk-sac % Notes: juvenile % Striped Bass May 1 eggs % yolk-sac % post yolk-sac % juvenile % White Perch May 1 eggs % yolk-sac % post yolk-sac % juvenile % River Herring 1 May 1 eggs % yolk-sac % post yolk-sac % juvenile % 1 For River Herring, the life history parameters of blueback herring were used. 12

14

15 TABLE 4 BAY ANCHOVY NUMBERS ENTRAINED AND AGE 1 EQUIVALENTS 10 MGD ALL YEAR Numbers Entrained Age 1 Equivalent Yolksac Post yolk-sac Juvenile Total Year Egg Yolksac Post yolk-sac Juvenile Total Egg ,773, ,278, ,052,127 5, , , ,379, ,207, ,587,953 1, , , , ,189, ,535, , , ,280, ,566, ,847, , , ,136,571 2,489 2,717, ,856,980 5, , , ,090, ,508, ,600, , , ,080, , ,686, , , ,153, ,291, ,446, , , , , ,991, ,175, ,167, , , ,973,809 1,182 1,764, ,739,729 1, , , ,736, ,601, ,338, , , , , , , , ,068, ,157, ,226, , , ,517, ,266, ,784,140 2, , , ,270 47,119 6,404, ,517, , , ,215,502 15,741 3,479, ,711,013 2, , , ,715,861 8,823 26,298, ,023,197 9, , , ,411, ,763, ,174, , , ,468, ,122, ,591,092 3, , , , ,177, ,551, , , ,151,976 14,742 8,112, ,279,149 5, , , ,411, ,031, ,442, , , ,423,335 2,749 13,656, ,082,463 5, , , , ,286, ,063, , , ,119, ,377, ,497, , , ,183, ,183, , , , ,493, ,825, , , ,469, ,403, ,873, , , ,938, ,479, ,418,229 1, , , ,044,633 12,269 8,923, ,980,150 3, , , ,267 14,095 5,354, ,171, , , ,212,838 4,279 4,442, ,659,960 1, , ,793 Mean ,623,275 3,908 6,024, ,651,318 1, , ,971 Mean ,828,602 4,378 4,611, ,444,708 1, , ,248

16 TABLE 5 BAY ANCHOVY ENTRAINMENT CONDITIONAL MORTALITY RATE 10 MGD ALL YEAR Year Egg Yolk-sac Post yolk-sac Juvenile Total CMR % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % Mean % % % % % Mean % % % % %

17 TABLE 6 BAY ANCHOVY NUMBERS ENTRAINED AND AGE 1 EQUIVALENTS 10 MGD MAY 1 - SEP 30 (8 MGD OTHER MONTHS) Numbers Entrained Age 1 Equivalent Year Egg Yolksac Post yolk-sac Juvenile Total Egg Yolksac Post yolk-sac Juvenile Total ,773, ,278, ,052,127 5, , , ,379, ,207, ,587,953 1, , , , ,189, ,535, , , ,280, ,566, ,847, , , ,136,571 2,489 2,717, ,856,980 5, , , ,090, ,508, ,600, , , ,080, , ,686, , , ,153, ,291, ,446, , , , , ,991, ,175, ,167, , , ,973,809 1,182 1,764, ,739,729 1, , , ,736, ,601, ,338, , , , , , , , ,068, ,157, ,226, , , ,517, ,266, ,784,140 2, , , ,270 47,119 6,404, ,517, , , ,215,502 15,741 3,479, ,711,013 2, , , ,715,861 8,823 26,290, ,015,378 9, , , ,411, ,758, ,169, , , ,468, ,112, ,581,136 3, , , , ,173, ,548, , , ,151,976 14,742 8,108, ,275,310 5, , , ,411, ,022, ,433, , , ,423,335 2,749 13,652, ,078,270 5, , , , ,276, ,053, , , ,119, ,377, ,496, , , ,182, ,182, , , , ,485, ,817, , , ,469, ,399, ,869, , , ,938, ,479, ,417,495 1, , , ,044,633 12,269 8,922, ,979,463 3, , , ,267 14,095 5,347, ,164, , , ,212,838 4,279 4,405, ,622,197 1, , ,035 Mean ,623,275 3,908 6,020, ,647,890 1, , ,906 Mean ,828,602 4,378 4,603, ,436,161 1, , ,080

18 TABLE 7 BAY ANCHOVY ENTRAINMENT CONDITIONAL MORTALITY RATE 10 MGD MAY 1 - SEP 30 (8 MGD OTHER MONTHS) Post yolksac Year Egg Yolk-sac Juvenile Total CMR % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % Mean % % % % % Mean % % % % %

19 TABLE 8 AMERICAN SHAD NUMBERS ENTRAINED AND AGE 1 EQUIVALENTS 10 MGD ALL YEAR Numbers Entrained Age 1 Equivalent Year Egg Yolk-sac Post yolk-sac Juvenile Total Egg Yolk-sac Post yolk-sac Juvenile Total , , ,999 2, , ,620 3, , , , , , Mean Mean

20 TABLE 9 AMERICAN SHAD ENTRAINMENT CONDITIONAL MORTALITY RATE 10 MGD ALL YEAR Post yolksac Year Egg Yolk-sac Juvenile Total CMR % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % Mean % % % % % Mean % % % % %

21 TABLE 10 AMERICAN SHAD NUMBERS ENTRAINED AND AGE 1 EQUIVALENTS 10 MGD MAY 1 - SEP 30 (8 MGD OTHER MONTHS) Numbers Entrained Age 1 Equivalent Year Egg Yolk-sac Post yolk-sac Juvenile Total Egg Yolk-sac Post yolk-sac Juvenile Total , , ,999 2, , ,620 3, , , , , , Mean Mean

22 TABLE 11 AMERICAN SHAD ENTRAINMENT CONDITIONAL MORTALITY RATE 10 MGD MAY 1 - SEP 30 (8 MGD OTHER MONTHS) Post yolksac Year Egg Yolk-sac Juvenile Total CMR % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % Mean % % % % % Mean % % % % %

23 TABLE 12 STRIPED BASS NUMBERS ENTRAINED AND AGE 1 EQUIVALENTS 10 MGD ALL YEAR Numbers Entrained Age 1 Equivalent Yolksac Post yolk-sac Juvenile Total Year Egg Yolk-sac Post yolk-sac Juvenile Total Egg , , , , , , , , ,438 79, , , , , , , , , , , , , , , , ,065 51,806 99, , ,165 79, , , , , ,051, , , , , , , ,382 99, , , , , , , , , , , , , ,428 3,274, ,593, , , , , , , ,291 1,608, ,712, , , ,655 5,853, ,159, , , , , , ,213 6,027, ,150, , , , , , , , , ,340 5,978, ,250, , , ,763 37,346 1,876, ,915, , , , ,112 1,754, ,939, , , ,897 16,764 9,683, ,702, , , ,375 2,703,414 11,017, ,903, , , ,690 57,661 7,602, ,676, , , , ,345 2,138, ,498, , , ,510 1,766,495 2,898, ,739, , , , ,424 3,504, ,941, , , ,596 11, , , , ,147 1,754, ,256, , ,362 Mean , ,416 2,193, ,494, , ,028 Mean , ,988 4,206, ,082, , ,681

24 TABLE 13 STRIPED BASS ENTRAINMENT CONDITIONAL MORTALITY RATE 10 MGD ALL YEAR Year Egg Yolk-sac Post yolk-sac Juvenile Total CMR % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % % Mean % % % % % Mean % % % % %

25 TABLE 14 STRIPED BASS NUMBERS ENTRAINED AND AGE 1 EQUIVALENTS 10 MGD MAY 1 - SEP 30 (8 MGD OTHER MONTHS) Numbers Entrained Age 1 Equivalent Year Egg Yolk-sac Post yolk-sac Juvenile Total Egg Yolksac Post yolk-sac Juvenile Total , , , , , , , , ,438 79, , , , , , , , , , , , , , , , ,065 51,806 99, , ,165 79, , , , , ,051, , , , , , , ,382 99, , , , , , , , , , , , , ,428 3,274, ,593, , , , , , , ,291 1,608, ,712, , , ,655 5,853, ,159, , , , , , ,213 6,027, ,150, , , , , , , , , ,340 5,978, ,250, , , ,763 37,346 1,876, ,915, , , , ,112 1,754, ,939, , , ,897 16,764 9,683, ,702, , , ,375 2,703,414 11,017, ,903, , , ,690 57,661 7,602, ,676, , , , ,329 2,138, ,498, , , ,510 1,766,495 2,898, ,739, , , , ,424 3,504, ,941, , , ,581 11, , , , ,147 1,754, ,256, , ,362 Mean , ,415 2,193, ,494, , ,028 Mean , ,985 4,206, ,082, , ,681

Tracking the Salt Front

Tracking the Salt Front Tracking the Salt Front Students will use Hudson River salinity data to practice math skills as they track movements of the salt front in response to storms and other weather events. Objectives: Students

More information

Near-Field Sturgeon Monitoring for the New NY Bridge at Tappan Zee. Quarterly Report October 1 December 31, 2014

Near-Field Sturgeon Monitoring for the New NY Bridge at Tappan Zee. Quarterly Report October 1 December 31, 2014 Near-Field Sturgeon Monitoring for the New NY Bridge at Tappan Zee Quarterly Report October 1 December 31, 2014 Prepared by AKRF, Inc. 7250 Parkway Drive, Suite 210 Hanover, MD 21076 for New York State

More information

Habitat Suitability for Forage Fishes in Chesapeake Bay

Habitat Suitability for Forage Fishes in Chesapeake Bay Habitat Suitability for Forage Fishes in Chesapeake Bay Aug 2017 Jul 2019 Mary C Fabrizio Troy D Tuckey Aaron J Bever Michael L MacWilliams 21 June 2018 Photo: Chesapeake Bay Program Motivation Production

More information

Gear data report from Atlantic plankton cruises for the R/V Pathfinder, March March 1962

Gear data report from Atlantic plankton cruises for the R/V Pathfinder, March March 1962 College of William and Mary W&M ScholarWorks Reports 1962 Gear data report from Atlantic plankton cruises for the R/V Pathfinder, March 1961 - March 1962 Woodrow L. Wilson Virginia Institute of Marine

More information

Linking Sediment Transport in the Hudson from the Tidal River to the Estuary

Linking Sediment Transport in the Hudson from the Tidal River to the Estuary Linking Sediment Transport in the Hudson from the Tidal River to the Estuary Or, what happened to all the mud from Irene? David Ralston, Rocky Geyer, John Warner, Gary Wall Hudson River Foundation seminar

More information

2001 State of the Ocean: Chemical and Biological Oceanographic Conditions in the Newfoundland Region

2001 State of the Ocean: Chemical and Biological Oceanographic Conditions in the Newfoundland Region Stock Status Report G2-2 (2) 1 State of the Ocean: Chemical and Biological Oceanographic Conditions in the Background The Altantic Zone Monitoring Program (AZMP) was implemented in 1998 with the aim of

More information

PRELIMINARY DRAFT FOR DISCUSSION PURPOSES

PRELIMINARY DRAFT FOR DISCUSSION PURPOSES Memorandum To: David Thompson From: John Haapala CC: Dan McDonald Bob Montgomery Date: February 24, 2003 File #: 1003551 Re: Lake Wenatchee Historic Water Levels, Operation Model, and Flood Operation This

More information

What is insect forecasting, and why do it

What is insect forecasting, and why do it Insect Forecasting Programs: Objectives, and How to Properly Interpret the Data John Gavloski, Extension Entomologist, Manitoba Agriculture, Food and Rural Initiatives Carman, MB R0G 0J0 Email: jgavloski@gov.mb.ca

More information

Produced by Canadian Ice Service of. 2 December Seasonal Outlook Gulf of St Lawrence and East Newfoundland Waters Winter

Produced by Canadian Ice Service of. 2 December Seasonal Outlook Gulf of St Lawrence and East Newfoundland Waters Winter Environment Canada Environnement Canada Produced by Canadian Ice Service of Environment Canada 2 December 2010 Seasonal Outlook Gulf of St Lawrence and East Newfoundland Waters Winter 2010-2011 2010 Canadian

More information

Review of Vermont Yankee Thermal Discharge Permit Requirements and Analysis of Connecticut River Water Temperature and Flow

Review of Vermont Yankee Thermal Discharge Permit Requirements and Analysis of Connecticut River Water Temperature and Flow Review of Vermont Yankee Thermal Discharge Permit Requirements and Analysis of Connecticut River Water Temperature and Flow August 17, 2012 Prepared by: Ken Hickey Peter Shanahan, Ph.D., P.E. 481 Great

More information

3.0 TECHNICAL FEASIBILITY

3.0 TECHNICAL FEASIBILITY 3.0 TECHNICAL FEASIBILITY 3.1 INTRODUCTION To enable seasonal storage and release of water from Lake Wenatchee, an impoundment structure would need to be constructed on the lake outlet channel. The structure

More information

REDWOOD VALLEY SUBAREA

REDWOOD VALLEY SUBAREA Independent Science Review Panel Conceptual Model of Watershed Hydrology, Surface Water and Groundwater Interactions and Stream Ecology for the Russian River Watershed Appendices A-1 APPENDIX A A-2 REDWOOD

More information

Data Dictionary Hudson River Features: Estuary shoreline Flood scenario Emergency Services: Police stations Fire stations EMS

Data Dictionary Hudson River Features: Estuary shoreline Flood scenario Emergency Services: Police stations Fire stations EMS Data Dictionary Hudson River Features: Estuary shoreline This data layer represents the border of the Hudson River in our study area. New York State Department of Environmental Conservation. 2009. Hudson

More information

8.1 Attachment 1: Ambient Weather Conditions at Jervoise Bay, Cockburn Sound

8.1 Attachment 1: Ambient Weather Conditions at Jervoise Bay, Cockburn Sound 8.1 Attachment 1: Ambient Weather Conditions at Jervoise Bay, Cockburn Sound Cockburn Sound is 20km south of the Perth-Fremantle area and has two features that are unique along Perth s metropolitan coast

More information

Project (Project No. US-CA-62-2) Maintenance Inspection and Reports (Subtask 14.1) Inspection Report No.2

Project (Project No. US-CA-62-2) Maintenance Inspection and Reports (Subtask 14.1) Inspection Report No.2 MEMORANDUM TO: FROM: Jim Well, Ducks Unlimited Mike Harvey, PhD, PG SUBJECT: M&T/ Llano Seco Fish Screen Project (Project No. US-CA-62-2) Maintenance Inspection and Reports (Subtask 14.1) Inspection Report

More information

SARSIM Model Output for the Distribution of Sardine in Canadian, US and Mexican Waters. Richard Parrish October 13, 2015

SARSIM Model Output for the Distribution of Sardine in Canadian, US and Mexican Waters. Richard Parrish October 13, 2015 SARSIM Model Output for the Distribution of Sardine in Canadian, US and Mexican Waters. Richard Parrish October 13, 2015 Agenda Item H.1.c The information presented below was taken from a model that I

More information

WIND EFFECTS ON CHEMICAL SPILL IN ST ANDREW BAY SYSTEM

WIND EFFECTS ON CHEMICAL SPILL IN ST ANDREW BAY SYSTEM WIND EFFECTS ON CHEMICAL SPILL IN ST ANDREW BAY SYSTEM PETER C. CHU, PATRICE PAULY Naval Postgraduate School, Monterey, CA93943 STEVEN D. HAEGER Naval Oceanographic Office, Stennis Space Center MATHEW

More information

Spatio-temporal dynamics of Marbled Murrelet hotspots during nesting in nearshore waters along the Washington to California coast

Spatio-temporal dynamics of Marbled Murrelet hotspots during nesting in nearshore waters along the Washington to California coast Western Washington University Western CEDAR Salish Sea Ecosystem Conference 2014 Salish Sea Ecosystem Conference (Seattle, Wash.) May 1st, 10:30 AM - 12:00 PM Spatio-temporal dynamics of Marbled Murrelet

More information

Final Report for the Green Valley Creek Winter Refugia Enhancement Project Monitoring December 2016

Final Report for the Green Valley Creek Winter Refugia Enhancement Project Monitoring December 2016 Final Report for the Green Valley Creek Winter Refugia Enhancement Project Monitoring December 2016 Prepared by: Mariska Obedzinski and Sarah Nossaman University of California Cooperative Extension & California

More information

CHAPTER 4 CRITICAL GROWTH SEASONS AND THE CRITICAL INFLOW PERIOD. The numbers of trawl and by bag seine samples collected by year over the study

CHAPTER 4 CRITICAL GROWTH SEASONS AND THE CRITICAL INFLOW PERIOD. The numbers of trawl and by bag seine samples collected by year over the study CHAPTER 4 CRITICAL GROWTH SEASONS AND THE CRITICAL INFLOW PERIOD The numbers of trawl and by bag seine samples collected by year over the study period are shown in table 4. Over the 18-year study period,

More information

Persistence of prey hot spots in southeast Alaska

Persistence of prey hot spots in southeast Alaska Persistence of prey hot spots in southeast Alaska Scott M. Gende National Park Service, Glacier Bay Field Station, 3100 National Park, Juneau, Alaska, USA; Scott_Gende Gende@nps.gov Michael Sigler National

More information

Changing Hydrology under a Changing Climate for a Coastal Plain Watershed

Changing Hydrology under a Changing Climate for a Coastal Plain Watershed Changing Hydrology under a Changing Climate for a Coastal Plain Watershed David Bosch USDA-ARS, Tifton, GA Jeff Arnold ARS Temple, TX and Peter Allen Baylor University, TX SEWRU Objectives 1. Project changes

More information

Hydrologic Conditions in the Delaware River Basin

Hydrologic Conditions in the Delaware River Basin 2017 Hydrologic Conditions in the Delaware River Basin Prepared by Operations Staff June 2018 Hydrologic Highlights Hydrologic Conditions in the Delaware River Basin Annual Report 2017 At the start of

More information

Climate Adaptation Challenges for Boston s Water and Sewer Systems

Climate Adaptation Challenges for Boston s Water and Sewer Systems National Association of Flood & Stormwater Management Agencies Climate Adaptation Challenges for Boston s Water and Sewer Systems John P Sullivan P.E. October 15,2014 Boston 1630 Boston 1630-2012 Boston

More information

The Climate of Bryan County

The Climate of Bryan County The Climate of Bryan County Bryan County is part of the Crosstimbers throughout most of the county. The extreme eastern portions of Bryan County are part of the Cypress Swamp and Forest. Average annual

More information

AFTERMATTHew, Came Irma!

AFTERMATTHew, Came Irma! AFTERMATTHew, Came Irma! MOSQUITOES & STORMS LAURA PEATY CHATHAM COUNTY MOSQUITO CONTROL SAVANNAH GA Major factors contributing to high mosquito numbers in our area include: Rain Tides Dredging operations

More information

The Climate of Oregon Climate Zone 3 Southwest Interior

The Climate of Oregon Climate Zone 3 Southwest Interior .k) 105 Unbound issue " " 1 4oes not circulate C4P. Special Report 915 May 1993 The Climate of Oregon Climate Zone 3 Southwest Interior Property of OREGON STATE UNIVERSITY Library Serials Corvallis, OR

More information

What Maintains the Western Gulf of Maine Cod Stock?

What Maintains the Western Gulf of Maine Cod Stock? What Maintains the Western Gulf of Maine Cod Stock? James Churchill Woods Hole Oceanographic Inst.; Woods Hole MA, jchurchill@whoi.edu, Jeffrey Runge School of Marine Sciences, University of Maine, Gulf

More information

Climate. Annual Temperature (Last 30 Years) January Temperature. July Temperature. Average Precipitation (Last 30 Years)

Climate. Annual Temperature (Last 30 Years) January Temperature. July Temperature. Average Precipitation (Last 30 Years) Climate Annual Temperature (Last 30 Years) Average Annual High Temp. (F)70, (C)21 Average Annual Low Temp. (F)43, (C)6 January Temperature Average January High Temp. (F)48, (C)9 Average January Low Temp.

More information

2015 Fall Conditions Report

2015 Fall Conditions Report 2015 Fall Conditions Report Prepared by: Hydrologic Forecast Centre Date: December 21 st, 2015 Table of Contents Table of Figures... ii EXECUTIVE SUMMARY... 1 BACKGROUND... 2 SUMMER AND FALL PRECIPITATION...

More information

Biological Response to the Gold King Mine Release in the Animas and San Juan Rivers

Biological Response to the Gold King Mine Release in the Animas and San Juan Rivers Biological Response to the Gold King Mine Release in the and San Juan Rivers Lareina Guenzel 1, Richard Mitchell, PhD 1, Kate Sullivan, PhD 2, and Michael Cyterski, PhD 2 1 U.S. Environmental Protection

More information

SUMMARY OF OPERATIONS AT THE HOLTWOOD FISH PASSAGE FACILITY SPRING AND FALL, 2017

SUMMARY OF OPERATIONS AT THE HOLTWOOD FISH PASSAGE FACILITY SPRING AND FALL, 2017 SUMMARY OF OPERATIONS AT THE HOLTWOOD FISH PASSAGE FACILITY SPRING AND FALL, 2017 November 2017 SUMMARY OF OPERATIONS AT THE HOLTWOOD FISH PASSAGE FACILITY SPRING AND FALL, 2017 Prepared for HOLTWOOD HYDRO

More information

The Effect of Larval Control of Black Fly (Simulium vittatum species complex) conducted in Winter Harborages

The Effect of Larval Control of Black Fly (Simulium vittatum species complex) conducted in Winter Harborages The Effect of Larval Control of Black Fly (Simulium vittatum species complex) conducted in Winter Harborages Kirk Tubbs, Manager Twin Falls County Pest Abatement District Abstract: The comparison of two

More information

SUMMARY OF OPERATIONS AT THE CONOWINGO DAM EAST FISH PASSAGE FACILITY SPRING 2017

SUMMARY OF OPERATIONS AT THE CONOWINGO DAM EAST FISH PASSAGE FACILITY SPRING 2017 SUMMARY OF OPERATIONS AT THE CONOWINGO DAM EAST FISH PASSAGE FACILITY SPRING 2017 December 2017 SUMMARY OF OPERATIONS AT THE CONOWINGO DAM EAST FISH PASSAGE FACILITY SPRING 2017 Prepared for EXELON GENERATION

More information

PH YSIC A L PROPERT IE S TERC.UCDAVIS.EDU

PH YSIC A L PROPERT IE S TERC.UCDAVIS.EDU PH YSIC A L PROPERT IE S 8 Lake surface level Daily since 1900 Lake surface level varies throughout the year. Lake level rises due to high stream inflow, groundwater inflow and precipitation directly onto

More information

17-20 November 2007 Incidental Take Monitoring Methodology and Results

17-20 November 2007 Incidental Take Monitoring Methodology and Results Sample Site Selection Protocol 17-20 November 2007 Incidental Take Monitoring Methodology and Results On 16 November 2007, the U.S. Fish and Wildlife Service (USFWS) provided the USACE Mobile District

More information

Technical Memorandum. City of Salem, Stormwater Management Design Standards. Project No:

Technical Memorandum. City of Salem, Stormwater Management Design Standards. Project No: Technical Memorandum 6500 SW Macadam Avenue, Suite 200 Portland, Oregon, 97239 Tel: 503-244-7005 Fax: 503-244-9095 Prepared for: Project Title: City of Salem, Oregon City of Salem, Stormwater Management

More information

Prepared by the North American Ice Service. 4 December Seasonal Outlook Great Lakes Winter

Prepared by the North American Ice Service. 4 December Seasonal Outlook Great Lakes Winter Prepared by the North American Ice Service A collaboration of the Canadian Ice Service and the National/Naval Ice Center 4 December 2008 Seasonal Outlook Great Lakes Winter 2008-2009 - 1 - Table of contents

More information

Movements of striped bass in response to extreme weather events

Movements of striped bass in response to extreme weather events Movements of striped bass in response to extreme weather events Helen Bailey and David Secor E-mail: hbailey@umces.edu 1 Background 2 Outline What is movement ecology? Methods for analyzing animal tracks

More information

Estimating the Mean Temperature and Salinity of the Chesapeake Bay Mouth

Estimating the Mean Temperature and Salinity of the Chesapeake Bay Mouth Estuaries Vol. 25, No. 1, p. 1 5 February 2002 Estimating the Mean Temperature and Salinity of the Chesapeake Bay Mouth RICARDO A. LOCARNINI,LARRY P. ATKINSON*, and ARNOLDO VALLE-LEVINSON Center for Coastal

More information

The Climate of Texas County

The Climate of Texas County The Climate of Texas County Texas County is part of the Western High Plains in the north and west and the Southwestern Tablelands in the east. The Western High Plains are characterized by abundant cropland

More information

Restoration Goals TFG Meeting. Agenda

Restoration Goals TFG Meeting. Agenda San Joaquin River Restoration Program Restoration Goals TFG Meeting Reach 2B Update April 28, 2010 Agenda 1. Introductions 2. Program Restoration Goal Context 3. Program Update a) Interim Flows b) EIS/EIR

More information

Technical Memo: Initial Modeling of Levee Breaches. Prepared for: Delta Levees Risk Assessment Team

Technical Memo: Initial Modeling of Levee Breaches. Prepared for: Delta Levees Risk Assessment Team RMA RESOURCE MANAGEMENT ASSOCIATES, INC. FAIRFIELD, CALIFORNIA Technical Memo: Initial Modeling of Levee Breaches Prepared for: Delta Levees Risk Assessment Team January 24 DELTA LEVEES RISK ASSESSMENT

More information

MORTALITY OF HERRING DURING THE EARLY LARVAL STAGE IN and ODD NAKKEN

MORTALITY OF HERRING DURING THE EARLY LARVAL STAGE IN and ODD NAKKEN MORTALTY OF HERRNG DURNG THE EARLY LARVAL STAGE N 1967 BY OLAV DRAGESUND and ODD NAKKEN nstitute of Marine Research, Bergen, Norway NTRODUCTON Stad to Andenes (northern Norway), and during a The existence

More information

Seasonal Summary. Great Lakes Winter By the North American Ice Service

Seasonal Summary. Great Lakes Winter By the North American Ice Service Seasonal Summary Great Lakes Winter 2014-2015 By the North American Ice Service Summary for the Great Lakes The 2014-2015 winter in the Great Lakes region was a season that was punctuated by three distinct

More information

Nadia K. Dimou, Andrew T. Obst, Jeff Moeller, E. Eric Adams Energy Laboratory Report No. MIT-EL December 1990

Nadia K. Dimou, Andrew T. Obst, Jeff Moeller, E. Eric Adams Energy Laboratory Report No. MIT-EL December 1990 TK1001.M41.E56 V\o. q -- o 3 9080 00707071 4 Numerical Simulation of Fish Larvae Entrainment at the Millstone Nuclear Power Station Summary report covering period December 1989 - August 1990 Nadia K. Dimou,

More information

Missouri River Basin Water Management

Missouri River Basin Water Management Missouri River Basin Water Management US Army Corps of Engineers Missouri River Navigator s Meeting February 12, 2014 Bill Doan, P.E. Missouri River Basin Water Management US Army Corps of Engineers BUILDING

More information

Natural Variability in Annual Maximum Water Level and Outflow of Yellowstone Lake

Natural Variability in Annual Maximum Water Level and Outflow of Yellowstone Lake Natural Variability in Annual Maximum Water Level and Outflow of Yellowstone Lake Phillip E. Farnes Abstract The water level in Yellowstone Lake varies each year in response to differences in the winter

More information

PICES W3 [D-504], Sep 22, 2017, 11:40-12:05

PICES W3 [D-504], Sep 22, 2017, 11:40-12:05 PICES W3 [D-504], Sep 22, 2017, 11:40-12:05 Individual-based model of chub mackerel (Scomber japonicus) covering from larval to adult stages to project climate-driven changes in their spatial distribution

More information

Advice September 2012

Advice September 2012 9.4.23 Advice September 2012 ECOREGION STOCK Widely distributed and migratory stocks European seabass in the Northeast Atlantic Advice for 2013 ICES advises on the basis of the approach to data-limited

More information

TIDAL HUDSON RIVER ICE COVER CLIMATOLOGY

TIDAL HUDSON RIVER ICE COVER CLIMATOLOGY TIDAL HUDSON RIVER ICE COVER CLIMATOLOGY Prepared for: The Hudson River Sustainable Shorelines Project NYSDEC Hudson River National Estuarine Research Reserve Prepared by: Nickitas Georgas, Jon Miller,

More information

The Climate of Payne County

The Climate of Payne County The Climate of Payne County Payne County is part of the Central Great Plains in the west, encompassing some of the best agricultural land in Oklahoma. Payne County is also part of the Crosstimbers in the

More information

Climate Outlook through 2100 South Florida Ecological Services Office Vero Beach, FL January 13, 2015

Climate Outlook through 2100 South Florida Ecological Services Office Vero Beach, FL January 13, 2015 Climate Outlook through 2100 South Florida Ecological Services Office Vero Beach, FL January 13, 2015 Short Term Drought Map: Short-term (

More information

Larvae. Juvenile. Adult. Bipartite life cycle of benthic marine fishes with pelagic larvae. Pelagic Environment. settlement.

Larvae. Juvenile. Adult. Bipartite life cycle of benthic marine fishes with pelagic larvae. Pelagic Environment. settlement. 13 - Marine Ecology Bipartite life cycle of benthic marine fishes with pelagic larvae Larvae survive, grow, develop, disperse reproduce Pelagic Environment Benthic Environment settlement Adult Juvenile

More information

Water Temperature Monitoring of the Klamath River Mainstem

Water Temperature Monitoring of the Klamath River Mainstem Water Temperature Monitoring of the Klamath River Mainstem Progress Report #3 Prepared by Robert Rohde and Leaf Hillman with assistance provided by Susan Smith and William Tripp Karuk Tribe of California

More information

The Climate of Murray County

The Climate of Murray County The Climate of Murray County Murray County is part of the Crosstimbers. This region is a transition between prairies and the mountains of southeastern Oklahoma. Average annual precipitation ranges from

More information

We are interconnected, we are resilient As air temperatures warm forests change, fires increase glaciers retreat, snowpack diminishes sediment

We are interconnected, we are resilient As air temperatures warm forests change, fires increase glaciers retreat, snowpack diminishes sediment We are interconnected, we are resilient As air temperatures warm forests change, fires increase glaciers retreat, snowpack diminishes sediment increases rivers change, salmon respond base sea level rises

More information

Drought in Southeast Colorado

Drought in Southeast Colorado Drought in Southeast Colorado Nolan Doesken and Roger Pielke, Sr. Colorado Climate Center Prepared by Tara Green and Odie Bliss http://climate.atmos.colostate.edu 1 Historical Perspective on Drought Tourism

More information

Changes in Hudson River sediment distribution after storms Irene and Sandy

Changes in Hudson River sediment distribution after storms Irene and Sandy Changes in Hudson River sediment distribution after storms Irene and Sandy Frank Nitsche and Timothy Kenna Lamont Doherty Earth Observatory, Columbia University USGS - Landsat Changes in Hudson River sediment

More information

The Climate of Marshall County

The Climate of Marshall County The Climate of Marshall County Marshall County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeastern Oklahoma. Average

More information

Modelling the biophysical dynamics of sardine and anchovy ichthyoplankton in the Canary Upwelling System: continent-archipelago interactions

Modelling the biophysical dynamics of sardine and anchovy ichthyoplankton in the Canary Upwelling System: continent-archipelago interactions Modelling the biophysical dynamics of sardine and anchovy ichthyoplankton in the Canary Upwelling System: continent-archipelago interactions Timothée Brochier, Eurocean PhD student, IRD Azeddine Ramzi

More information

Climate change, ocean acidification and individual-based models: Why the little things matter

Climate change, ocean acidification and individual-based models: Why the little things matter Climate change, ocean acidification and individual-based models: Why the little things matter Author Richards, Russell, Meynecke, Olaf, Chaloupka, M, Tomlinson, Rodger Benson Published 2012 Conference

More information

Bathymetric controls on sediment transport in the Hudson River estuary: Lateral asymmetry and frontal trapping

Bathymetric controls on sediment transport in the Hudson River estuary: Lateral asymmetry and frontal trapping JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 117,, doi:10.1029/2012jc008124, 2012 Bathymetric controls on sediment transport in the Hudson River estuary: Lateral asymmetry and frontal trapping David K. Ralston,

More information

Temperature. (1) directly controls metabolic rates of ectotherms (invertebrates, fish) Individual species

Temperature. (1) directly controls metabolic rates of ectotherms (invertebrates, fish) Individual species Temperature (1) directly controls metabolic rates of ectotherms (invertebrates, fish) Individual species (2) controls concentrations (3) is relatively predictable over and can provide a basis for species.

More information

November 2018 Weather Summary West Central Research and Outreach Center Morris, MN

November 2018 Weather Summary West Central Research and Outreach Center Morris, MN November 2018 Weather Summary Lower than normal temperatures occurred for the second month. The mean temperature for November was 22.7 F, which is 7.2 F below the average of 29.9 F (1886-2017). This November

More information

Appendix G.19 Hatch Report Pacific NorthWest LNG Lelu Island LNG Maintenance Dredging at the Materials Offloading Facility

Appendix G.19 Hatch Report Pacific NorthWest LNG Lelu Island LNG Maintenance Dredging at the Materials Offloading Facility Appendix G.19 Hatch Report Pacific NorthWest LNG Lelu Island LNG Maintenance Dredging at the Materials Offloading Facility Project Memo H345670 To: Capt. David Kyle From: O. Sayao/L. Absalonsen December

More information

Exxon Valdez Oil Spill Restoration Project Annual Report

Exxon Valdez Oil Spill Restoration Project Annual Report Exxon Valdez Oil Spill Restoration Project Annual Report Ecology and Demographics of Pacific Sand Lance, Ammodytes hexapterus Pallas, in Lower Cook Inlet, Alaska Restoration Project 99306 Final Report

More information

Great Lakes Update. Volume 199: 2017 Annual Summary. Background

Great Lakes Update. Volume 199: 2017 Annual Summary. Background Great Lakes Update Volume 199: 2017 Annual Summary Background The U.S. Army Corps of Engineers (USACE) tracks and forecasts the water levels of each of the Great Lakes. This report is primarily focused

More information

The hydrologic service area (HSA) for this office covers Central Kentucky and South Central Indiana.

The hydrologic service area (HSA) for this office covers Central Kentucky and South Central Indiana. MONTH YEAR January 2011 February 15, 2011 X An X inside this box indicates that no flooding occurred within this hydrologic service area. January 2011 was drier than normal in all locations in the area.

More information

Hudson River Water Quality Report. August and September Data Summary, year to date

Hudson River Water Quality Report. August and September Data Summary, year to date Hudson River Water Quality Report August and September 2011 I'm writing this in Waterford, in the middle of the October sampling run. Sorry to get this overview to you so late but, as you ll read in this

More information

ZUMWALT WEATHER AND CLIMATE ANNUAL REPORT ( )

ZUMWALT WEATHER AND CLIMATE ANNUAL REPORT ( ) ZUMWALT WEATHER AND CLIMATE ANNUAL REPORT (26-29) FINAL DRAFT (9 AUGUST 21) J.D. HANSEN 1, R.V. TAYLOR 2, AND V.S. JANSEN 3 INTRODUCTION The Zumwalt Prairie in northeastern Oregon is a unique grassland

More information

ENGINE SERIAL NUMBERS

ENGINE SERIAL NUMBERS ENGINE SERIAL NUMBERS The engine number was also the serial number of the car. Engines were numbered when they were completed, and for the most part went into a chassis within a day or so. However, some

More information

Home About Us Articles Press Releases Image Gallery Contact Us Media Kit Free Subscription 10/5/2006 5:56:35 PM

Home About Us Articles Press Releases Image Gallery Contact Us Media Kit Free Subscription 10/5/2006 5:56:35 PM Home About Us Articles Press Releases Image Gallery Contact Us Media Kit Free Subscription 10/5/2006 5:56:35 PM Industry Resources Industry Directory NASA Links Missions/Launches Calendar Human development

More information

ANALYSIS OF THE 2010 AMERICAN SHAD RADIO TELEMETRY ANIMATIONS RSP 3.5 CONOWINGO HYDROELECTRIC PROJECT FERC PROJECT NUMBER 405

ANALYSIS OF THE 2010 AMERICAN SHAD RADIO TELEMETRY ANIMATIONS RSP 3.5 CONOWINGO HYDROELECTRIC PROJECT FERC PROJECT NUMBER 405 ANALYSIS OF THE 2010 AMERICAN SHAD RADIO TELEMETRY ANIMATIONS RSP 3.5 CONOWINGO HYDROELECTRIC PROJECT FERC PROJECT NUMBER 405 Prepared for: Prepared by: Normandeau Associates, Inc. Gomez and Sullivan Engineers,

More information

Hydrodynamics in Shallow Estuaries with Complex Bathymetry and Large Tidal Ranges

Hydrodynamics in Shallow Estuaries with Complex Bathymetry and Large Tidal Ranges DISTRIBUTION STATEMENT A: Approved for public release; distribution is unlimited. Hydrodynamics in Shallow Estuaries with Complex Bathymetry and Large Tidal Ranges Stephen G. Monismith Dept of Civil and

More information

MEMORANDUM. Jerry Conrow, Ojai Basin Groundwater Management Agency

MEMORANDUM. Jerry Conrow, Ojai Basin Groundwater Management Agency MEMORANDUM TO: FROM: Jerry Conrow, Ojai Basin Groundwater Management Agency Gregory Schnaar, PhD, Stephen J. Cullen, PhD, PG, DATE: August 6, 2014, 2014 SUBJECT: Ojai Basin Groundwater Model - Extended

More information

Current Climate Trends and Implications

Current Climate Trends and Implications Current Climate Trends and Implications Dr. Mark Seeley Professor emeritus Department of Soil, Water, and Climate University of Minnesota St Paul, MN 55108 Crop Insurance Conference September 12, 2018

More information

The Climate of Seminole County

The Climate of Seminole County The Climate of Seminole County Seminole County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeastern Oklahoma. Average

More information

Northeast U.S. Early Season Preview 2017 FISHING ACTION STARTING TO WARM UP ALREADY WITH LOTS OF FISH EXPECTED IN MAY

Northeast U.S. Early Season Preview 2017 FISHING ACTION STARTING TO WARM UP ALREADY WITH LOTS OF FISH EXPECTED IN MAY Northeast U.S. Early Season Preview 2017 FISHING ACTION STARTING TO WARM UP ALREADY WITH LOTS OF FISH EXPECTED IN MAY By Matthew A. Upton and Mitchell A. Roffer ROFFS concludes its 2017 spring preview

More information

Monthly Long Range Weather Commentary Issued: APRIL 18, 2017 Steven A. Root, CCM, Chief Analytics Officer, Sr. VP,

Monthly Long Range Weather Commentary Issued: APRIL 18, 2017 Steven A. Root, CCM, Chief Analytics Officer, Sr. VP, Monthly Long Range Weather Commentary Issued: APRIL 18, 2017 Steven A. Root, CCM, Chief Analytics Officer, Sr. VP, sroot@weatherbank.com MARCH 2017 Climate Highlights The Month in Review The average contiguous

More information

Appendix O. Sediment Transport Modelling Technical Memorandum

Appendix O. Sediment Transport Modelling Technical Memorandum Appendix O Sediment Transport Modelling Technical Memorandum w w w. b a i r d. c o m Baird o c e a n s engineering l a k e s design r i v e r s science w a t e r s h e d s construction Final Report Don

More information

Great Lakes Update. Volume 194: 2015 Annual Summary

Great Lakes Update. Volume 194: 2015 Annual Summary Great Lakes Update Volume 194: 2015 Annual Summary Background The U.S. Army Corps of Engineers (USACE) tracks and forecasts the water levels of each of the Great Lakes. This report summarizes the hydrologic

More information

Relatively little hard substrate occurs naturally in the

Relatively little hard substrate occurs naturally in the CHAPTER FIVE Rock Habitats Relatively little hard substrate occurs naturally in the estuary, owing mainly to the vast quantities of fine sediment that have been deposited by the rivers. Rock habitat is

More information

262 Stockhausen and Hermann Modeling Larval Dispersion of Rockfish

262 Stockhausen and Hermann Modeling Larval Dispersion of Rockfish Stockhausen and Hermann Modeling Larval Dispersion of Rockfish 6 6 6 6 0 6 6 6 0 0 0 00 0 6 6 0 0 Figure. Sample IBM tracks for larvae released on April,. Numbered circles denote release locations; numbered

More information

The Climate of Oregon Climate Zone 4 Northern Cascades

The Climate of Oregon Climate Zone 4 Northern Cascades /05 E55 Unbound issue No. 9/ is Does not circulate Special Report 916 May 1993 The Climate of Oregon Climate Zone 4 Property of OREGON STATE UNIVERSITY Library Serials Corvallis, OR 97331-4503 Agricultural

More information

SHADE/SHADOW REPORT. For the Proposed 8777 Washington Project. Culver City, CA. Prepared for:

SHADE/SHADOW REPORT. For the Proposed 8777 Washington Project. Culver City, CA. Prepared for: SHADE/SHADOW REPORT For the Proposed 8777 Washington Project Culver City, CA Prepared for: VITRUVIAN CULVER CITY LLC (THE APPLICANT) 5822 WEST WASHINGTON BOULEVARD CULVER CITY, CALIFORNIA 90232 Prepared

More information

The Climate of Grady County

The Climate of Grady County The Climate of Grady County Grady County is part of the Central Great Plains, encompassing some of the best agricultural land in Oklahoma. Average annual precipitation ranges from about 33 inches in northern

More information

Appendix 12J Winter-Run Chinook Salmon Life Cycle Modeling

Appendix 12J Winter-Run Chinook Salmon Life Cycle Modeling Appendix 12J Winter-Run Chinook Salmon Life Cycle Modeling Line items and numbers identified or noted as No Action Alternative represent the Existing Conditions/No Project/No Action Condition (described

More information

2013 Snake River Fall Chinook Salmon Spawning Summary 2,667 2, ,391

2013 Snake River Fall Chinook Salmon Spawning Summary 2,667 2, ,391 2013 Snake River Fall Chinook Salmon Spawning Summary by Bill Arnsberg, Nez Perce Tribe Phil Groves, Idaho Power Company Frank Mullins, U.S. Fish and Wildlife Service Debbie Milks, Washington Department

More information

January 25, Summary

January 25, Summary January 25, 2013 Summary Precipitation since the December 17, 2012, Drought Update has been slightly below average in parts of central and northern Illinois and above average in southern Illinois. Soil

More information

A Report on a Statistical Model to Forecast Seasonal Inflows to Cowichan Lake

A Report on a Statistical Model to Forecast Seasonal Inflows to Cowichan Lake A Report on a Statistical Model to Forecast Seasonal Inflows to Cowichan Lake Prepared by: Allan Chapman, MSc, PGeo Hydrologist, Chapman Geoscience Ltd., and Former Head, BC River Forecast Centre Victoria

More information

The Climate of Pontotoc County

The Climate of Pontotoc County The Climate of Pontotoc County Pontotoc County is part of the Crosstimbers. This region is a transition region from the Central Great Plains to the more irregular terrain of southeast Oklahoma. Average

More information

Central Ohio Air Quality End of Season Report. 111 Liberty Street, Suite 100 Columbus, OH Mid-Ohio Regional Planning Commission

Central Ohio Air Quality End of Season Report. 111 Liberty Street, Suite 100 Columbus, OH Mid-Ohio Regional Planning Commission 217 218 Central Ohio Air Quality End of Season Report 111 Liberty Street, Suite 1 9189-2834 1 Highest AQI Days 122 Nov. 217 Oct. 218 July 13 Columbus- Maple Canyon Dr. 11 July 14 London 11 May 25 New Albany

More information

USEPA National Watershed Protection Program NY/NJ Harbor Estuary Program USEPA Region 2 New York, New York. USEPA Contract EP-C

USEPA National Watershed Protection Program NY/NJ Harbor Estuary Program USEPA Region 2 New York, New York. USEPA Contract EP-C USEPA National Watershed Protection Program NY/NJ Harbor Estuary Program USEPA Region 2, EVALUATION OF AMMONIA TOXICITY IN THE NY/NJ HARBOR WITHIN THE CONTEXT OF NITROGEN AND CARBON TMDL PLANNING FOR ATTAINMENT

More information

Spatial variation in the abundance of eelgrass (Zostera marina) at eight sites in western Newfoundland, Canada 5/5/2015 V2.0

Spatial variation in the abundance of eelgrass (Zostera marina) at eight sites in western Newfoundland, Canada 5/5/2015 V2.0 Spatial variation in the abundance of eelgrass (Zostera marina) at eight sites in western Newfoundland, Canada 5/5/2015 V2.0 1 Summary The abundance of eelgrass (Zostera marina) was quantified at eight

More information

L OWER N OOKSACK R IVER P ROJECT: A LTERNATIVES A NALYSIS A PPENDIX A: H YDRAULIC M ODELING. PREPARED BY: LandC, etc, LLC

L OWER N OOKSACK R IVER P ROJECT: A LTERNATIVES A NALYSIS A PPENDIX A: H YDRAULIC M ODELING. PREPARED BY: LandC, etc, LLC L OWER N OOKSACK R IVER P ROJECT: A LTERNATIVES A NALYSIS A PPENDIX A: H YDRAULIC M ODELING PREPARED BY: LandC, etc, LLC TABLE OF CONTENTS 1 Introduction... 1 2 Methods... 1 2.1 Hydraulic Model... 1 2.2

More information

Using Zooplankton Enumeration to Manage the Cape Cod Bay Right Whale Critical Habitat

Using Zooplankton Enumeration to Manage the Cape Cod Bay Right Whale Critical Habitat Using Zooplankton Enumeration to Manage the Cape Cod Bay Right Whale Critical Habitat - 23 Final Report Chapter Two Moriah K. Bessinger, Charles A. Mayo, Moira W. Brown Center for Coastal Studies 59 Commercial

More information

Seasonal Hazard Outlook

Seasonal Hazard Outlook Winter 2016-2017 Current as of: October 21 Scheduled Update: December 614-799-6500 emawatch@dps.ohio.gov Overview Executive Summary Seasonal Forecast Heating Fuel Supply Winter Driving Preparedness Scheduled

More information

Project No India Basin Shadow Study San Francisco, California, USA

Project No India Basin Shadow Study San Francisco, California, USA Project No. 432301 India Basin Shadow Study San Francisco, California, USA Numerical Modelling Studies 04 th June 2018 For Build Inc. Report Title: India Basin Shadow Study San Francisco, California, USA

More information

Seasonal forecasting as a stepping stone to climate adaptation in marine fisheries and aquaculture

Seasonal forecasting as a stepping stone to climate adaptation in marine fisheries and aquaculture Seasonal forecasting as a stepping stone to climate adaptation in marine fisheries and aquaculture Alistair Hobday Paige Eveson Jason Hartog Claire Spillman Projected changes (e.g. distribution) 11 species

More information