USE OF RADIOACTIVE SOURCES IN MEASURING CHARACTERISTICS OF SNOWP ACKS. Henry W. Anderson, Philip M. McDonald, and Lloyd W. Gayl

Similar documents
A Method, tor Determining the Slope. or Neutron Moisture Meter Calibration Curves. James E. Douglass

The following information is provided for your use in describing climate and water supply conditions in the West as of April 1, 2003.

Snowmelt runoff forecasts in Colorado with remote sensing

NIDIS Intermountain West Regional Drought Early Warning System February 7, 2017

HyMet Company. Streamflow and Energy Generation Forecasting Model Columbia River Basin

NIDIS Intermountain West Drought Early Warning System April 18, 2017

ELECTRICAL MEASUREMENTS OF SNOW WETNESS IN UNDISTURBED SNOW

A Review of the 2007 Water Year in Colorado

Weather to Climate Investigation: Snow

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

Missouri River Basin Water Management Monthly Update

Unit 3: Chemistry in Society Nuclear Chemistry Summary Notes

January 25, Summary

4.1 Structure of the Atom

March 1, 2003 Western Snowpack Conditions and Water Supply Forecasts

January 2011 Calendar Year Runoff Forecast

INVISIBLE WATER COSTS

Instructions for Running the FVS-WRENSS Water Yield Post-processor

Basic Hydrologic Science Course Understanding the Hydrologic Cycle Section Six: Snowpack and Snowmelt Produced by The COMET Program

CW3E Atmospheric River Update

Impacts of snowpack accumulation and summer weather on alpine glacier hydrology

KANSAS GEOLOGICAL SURVEY Open File Report LAND SUBSIDENCE KIOWA COUNTY, KANSAS. May 2, 2007

APPENDIX B Hydrologic Model Spring Event

A STUDY OF SOIL TEMPERATURE CLIMATOLOGY: COTTONWOOD, SOUTH DAKOTA SOIL TEMPERATURES FROM 1982 TO 2004

Presented by Larry Rundquist Alaska-Pacific River Forecast Center Anchorage, Alaska April 14, 2009

Great Lakes Update. Volume 191: 2014 January through June Summary. Vol. 191 Great Lakes Update August 2014

Radioactivity III: Measurement of Half Life.

6. Atomic and Nuclear Physics

RADIOACTIVITY MATERIALS: PURPOSE: LEARNING OBJECTIVES: DISCUSSION:

United States Streamflow Probabilities based on Forecasted La Niña, Winter-Spring 2000

Prediction of Snow Water Equivalent in the Snake River Basin

The Documentation of Extreme Hydrometeorlogical Events: Two Case Studies in Utah, Water Year 2005

Upper Missouri River Basin February 2018 Calendar Year Runoff Forecast February 6, 2018

Upper Missouri River Basin December 2017 Calendar Year Runoff Forecast December 5, 2017

Modeling of peak inflow dates for a snowmelt dominated basin Evan Heisman. CVEN 6833: Advanced Data Analysis Fall 2012 Prof. Balaji Rajagopalan

CW3E Atmospheric River Update and Outlook

Montana Drought & Climate

Vermont Soil Climate Analysis Network (SCAN) sites at Lye Brook and Mount Mansfield

NORTHERN CHILE WINTER CLOUD SEEDING FEASIBILITY/DESIGN STUDY DON A. GRIFFITH NORTH AMERICAN WEATHER CONSULTANTS (NAWC) SANDY, UTAH

Climatic and Hydrologic Trends in the Western U.S.: A Review of Recent Peer-Reviewed Research

Climatic and Ecological Conditions in the Klamath Basin of Southern Oregon and Northern California: Projections for the Future

Missouri River Basin Water Management Monthly Update

y loo Physics Essentials Workbook Stage 2 Physics Exercises

Reprinted from MONTHLY WEATHER REVIEW, Vol. 109, No. 12, December 1981 American Meteorological Society Printed in I'. S. A.

Chem 1A Chapter 5 and 21 Practice Test Grosser ( )

Weather History on the Bishop Paiute Reservation

NIDIS Intermountain West Drought Early Warning System May 23, 2017

Correlation of SODAR and Meteorological Tower Measurements. Prepared for: West Virginia Division of Energy

Sierra Nevada Hydroclimatology: An Experimental Prediction of Maximum Daily Snowmelt Discharge in 2005

Southern Sierra Critical Zone Observatory (CZO): hydrochemical characteristics, science & measurement strategy

A Study of Radioactivity and Determination of Half-Life

EXPERIMENT FOUR - RADIOACTIVITY This experiment has been largely adapted from an experiment from the United States Naval Academy, Annapolis MD

Sediment Deposition LET THE RIVER RUN T E A C H E R. Activity Overview. Activity at a Glance. Time Required. Level of Complexity.

MET Lecture 20 Mountain Snowstorms (CH16)

NIDIS Intermountain West Drought Early Warning System December 11, 2018

What we are trying to accomplish during the winter season

An investigation of sampling efficiency using historical data. Patrick Didier Advisor: Justine Blanford

Physics 23 Fall 1989 Lab 5 - The Interaction of Gamma Rays with Matter

Canal Velocity Indexing at Colorado River Indian Tribes (CRIT) Irrigation Project in Parker, Arizona using the SonTek Argonaut SL

Real Time Snow Water Equivalent (SWE) Simulation March 29, 2015 Sierra Nevada Mountains, California

22.S902 IAP 2015 (DIY Geiger Counters), Lab 1

Drought and Future Water for Southern New Mexico

Precipitation. Standardized Precipitation Index. NIDIS Intermountain West Regional Drought Early Warning System January 3, 2017

MARMOT CREEK BASIN: MANAGING FORESTS FOR WATER

Radioactivity. General Physics II PHYS 111. King Saud University College of Applied Studies and Community Service Department of Natural Sciences

GSA DATA REPOSITORY

Midwest and Great Plains Climate- Drought Outlook 17 April 2014

Variability Across Space

Arizona Climate Summary May 2018 Summary of conditions for April 2018

NIDIS Intermountain West Drought Early Warning System October 17, 2017

Storm and Runoff Calculation Standard Review Snowmelt and Climate Change

RELATIONSHIP BETWEEN CLIMATIC CONDITIONS AND SOIL PROPERTIES AT SCAN AND SNOTEL SITES IN UTAH. Karen Vaughan 1 and Randy Julander 2 ABSTRACT

Effects of forest cover and environmental variables on snow accumulation and melt

Flood Risk Assessment

MEANDER MIGRATION MODEL ASSESSMENT FOR THE JANUARY 2005 STORM, WHITMAN PROPERTY, SAN ANTONIO CREEK, VENTURA COUNTY, CALIFORNIA

9. PROBABLE MAXIMUM PRECIPITATION AND PROBABLE MAXIMUM FLOOD

Winter of 2017 Historical Perspective

Spatial and Temporal Variability in Snowpack Controls: Two Decades of SnoTel Data from the Western U.S.

NIDIS Drought and Water Assessment

Location Latitude Longitude Durham, NH

Novel Snotel Data Uses: Detecting Change in Snowpack Development Controls, and Remote Basin Snow Depth Modeling

the properties of that element

Arizona Climate Summary April 2018 Summary of conditions for March 2018

Isotopes and Radioactive Decay

RADIOACTIVITY Q32 P1 A radioactive carbon 14 decay to Nitrogen by beta emission as below 14 x 0

Lab 14. RADIOACTIVITY

The indicator can be used for awareness raising, evaluation of occurred droughts, forecasting future drought risks and management purposes.

Preliminary Runoff Outlook February 2018

Seasonal and annual variation of Temperature and Precipitation in Phuntsholing

NIDIS Intermountain West Drought Early Warning System March 26, 2019

Water information system advances American River basin. Roger Bales, Martha Conklin, Steve Glaser, Bob Rice & collaborators UC: SNRI & CITRIS

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

PREDICTING BACKGROUND AND RISK-BASED SEDIMENTATION FOR FOREST WATERSHED TMDLS

Coupling Climate to Clouds, Precipitation and Snow

Overview: In this experiment we will study the decay of a radioactive nucleus, Cesium. Figure 1: The Decay Modes of Cesium 137

DK DM M EMORANDUM D ECEMBER 28, 2018 SUBJECT:

Spring Water Supply and Weather Outlook How about that near Miracle March?

Evaluation of a New Land Surface Model for JMA-GSM

Physical Science Density and Measurements

Mapping the extent of temperature-sensitive snowcover and the relative frequency of warm winters in the western US

Transcription:

Pacific Southwest Forest and Range Experiment Station Berkeley, California Forest Service U. S. Department of Agriculture U. S. FOREST SERVICE RESEARCH NOTE PSW11 1963 USE OF RADIOACTIVE SOURCES IN MEASURING CHARACTERISTICS OF SNOWP ACKS By I Henry W. Anderson, Philip M. McDonald, and Lloyd W. Gayl ABSTRACT: Use of radioactive probes inserted in mountain snowpacks may make possible more accurate appraisal and prediction of snowmelt water. Commercially available gamma and neutron probes were tested for their ability to measure snow density, ice lenses, and the thermal quality of individual layers in the snowpack. Radioactive sources can be used to measure hydrologic characteristics of snowpacks. Preliminary test results also indicate that it may be possible to predict the start and rate of snowmelt from such measurements. Tests of gamma and neutron sources in measuring snow were begun in 1961 at e Central Sierra Snow Laboratory, near Donner Summit, California. The results proved so encouraging that we asked the United States Atomic Energy Commission's Division of Isotopes Development to finance additional study. These investigations are part of the California cooperative snow management research program carried on by this Station in cooperation with the California Department of Water Resources. Commercially available probes th gamma and neutron sources (Nuclearchicago P20 and P19 probes)11 were tested for their ability to measure these characteristics of snowpack profiles: density, ice lenses, and thermal quality (free water). The probes were lowered into an aluminum access tube inserted into the snow, and the gamma and neutron counts taken at successive 6inch depths. 11 Snow research project leader and research foresters, respectively.?} Gay, active sources. 'jj The the product. Lloyd W. Measurement of snowpack profiles with radio 30th Annual West. Snow Conf. Proc. 1962:1419. use of a trade name does not constitute endorsement of

The gamma probe consisted of a Cesium 137 radioactive source and a GeigerMuller tube. Gamma rays from the source are back scattered from the snow atoms, with the number of returning rays increasing as snow density increases. In the neutron probe 1 fast neutrons from.the radium berryllium source are slowed upon contact with the hydrogen atoms in the snow. The number of the slowed neutrons which is returning to the counter increases as snow density increases. First, both probes were "calibrated" by comparing snow density measured gravimetrically at each layer of the snowpack with the gamma and neutron counts; about 200 such calibration samples were taken. These data were analyzed to show the relationship between snow density and gamma and neutron counts The counts at each snow depth, at the point of measurement, and 6 inches above and 6 inches below it were used in the appraisal of snow density. In other tests, we st9ied the effects of natural and artificial ice lenses on gamma and neutron counts and the relationship between these counts and the thermal. uality of the snowpack. Throughout the spring of 1962, a total of 1,100 samples (gamma and neutron counts) _were taken at 31 forest sites. From these measurements, we tested the relationship of gamma and netron counts to snowmelt. RESULTS GAMMA PROBE The relationship between gamma counts and snow density is well defined for densities of from l2 to 52 percent (fig. 1). The dispersion about the regression line inyolves errors both in the gravimetric determination of density and in the underlying relationship between gamma counts and density. By measring ' the aensity over the much larger volume than the gravimetric determination, the gamma counts may be in effct a more accurate appraisal of the snow density at a given depth. To improve predicton, the counts may rre taken at a point 6 inches above and 6 inches below the measurement layer: G;.mma probe: Equation 1 Depths 18 inches Density 11.8 + 0.02 Cg 2 Syx = 3 5 J n = 148 0.72(Cga Cg) 1.03(Cgb Cg) Equation 2 Depth: 12 inches; Syx = 2.3, n = 20 Density= 2.7 + 1.25 Cg + 0.50(Cgb Cg) Euation 3 Depth: 6 inches; Syx = 3.5, n = 21 Density 2.6 + 33 Cg + 1.39(Cgb Cg) Syx is standard error of estimate; n is number of data; density is in percent; Cg = gamma counts in 1,000 c.p.m. minus 5,000 at a point; Cn =neutron counts in 1,000 c.p.m.; "a" and "b" subscripts indicate counts 6 inches above or below point of measurement. 2

60 r r I I I 50 I ::... 40 I I :!..._ 1.. : * :.! '.:.t ;! c: Q) 30 I. '. ;;;,': 1::1!!: 0 c: V). 20 I. :. TO I 00 I I I I I I 2 3 4 5 6 Cg, gamma counts ( 10,000 c. p.m.) 60 1 1 1 1 1 T..._ * Figure 1.Relation of snow density t o counts made with radioactive gamma probe, for depth 18 inches from snow surface. 50... 401.t ;;; 30 1::1!!: 0 c: V) 20 I 10 I "''.,. ;.... : : '. :. :..,:... _;:T. : == : =.... :. 00+'IL I L_I I71 2 3 4 5 6 8 Cn, neutron counts (1,000 c.p.m.) Figure 2.Relation of snow density t o counts made with radioactive neutron probe. 3

Neutron probe: Equation 4 Depth 12 inches; Syx = 3.6, n 176 2 Density= 9.1 + 6.25 Cn 0.05 Cn Equation 5 Depth: 6 inches; Syx = 2.2, n = 21 Density= 2.2 + i2.3 Cn 1.00 Cn 2 + 2.92 (Cna Cn)+ll.2'(Cnb Cn) Equation l gives the relationship for snow layets 18 inches or more below the surface. At depths closer to the surface (6 and 12 inches), part of the gamma rays are lost and hence different equations are involved in relating density to gamma counts (equations 2 and 3). The inclusion of the counts above nd below a sampling layer expins an additional 22 to 50 percent of the unexplained variance (1R ). NEUTRON PROBE The relationship between neutron counts and density is also well defined (fig. 2). This relationship for snow depths greater than 12 inches is given in equation 4. No improvement in the relationship at those depths was obtained by using the counts 6 inches above and 6 inches below the point of measurement. The relationship for the 6inch snow depth is given by equation 5. At this depth, counts above and below considerably improved the predicion of densityexplaining 75 percent of the unexplained variance (1R ). ICE LENSES AND THERMAL QUALITY A marked shift in the neutron count was noted When either natural or artificial ice lenses were at a level between the radioactive source and the GeigerMuller counting tube of the probe. The occurrence of a ltinch ice lens increased neutron counts by about 30 percent (fig. 3). But gamma counts were only slightly a fected by the presence of the ice lens (fig. 4). Thus for determining snow density in the presence of ice lenses, the gamma probe would give the best measure. But the neutron probe provides the best means of detecting ice lenses. The thermal quality (free versus frozen water) in a snowpack was compared with counts by using the neutron probe (fig. 5). Thermal quality was determined by putting snow samples in a calorimeter. The graph shows a general shift in neutron counts associated with shifts in the percent of ice (frozen water) in snow. Comparison of the frozen water in snow at 3 p.m. (measured with a calorimeter on two successive days) showed wide variation in the free water content (table 1). In a single day when the snowpack was losing. 2.2 inches (water equivalent), the thermal quality increased from 82 to 95 The amount of frozen water in the snowpack increased by 1.6 inches. Detection of such changes can be critical in any studies of the heat budget of snowpacks. Note that the neutron count reflects a change of state between the above 2 days when average snow density was idetical (56 percent); higher neutron counts were associated with a greater proportion of frozen water in the snow. 4

Calibration curve Ice lense 26 28 30 32 34 36 Snow density (%) 38 Figure 3.Effect of. ice lenses on the snow density and count relation, using a radioactive neutron probe. 42" Snow \epth Calibration curve 36":::;. 7 Ice lense 18" 24 26 28 30 32 34 36 Snow density ('Yo) 38 Figure 4.Effect of ice lenses on the snow density and count elation, using the radioactive gamma probe. 5.

16 105 I \ 0\... \ + \ 100 0 15 \ l\j \NEUTRON \ COUNT 0 ' 0 \95 ci :t ti \...+ t::' v ICE \ <I) \ +..._ t:: \ 1:1. 0 \ \ '=> \eo:::: \ 13 I 0 36 42 in snow L Figure 5.comparison of relative solid state water in snow with neutron count, June 2, 1962, 10 a.m., Central Sierra Snow Laboratory. 3 in. level 6 in. level 9 in. level 12 in. level!bin. level '.. Figure 6.Effect of access tube length above the snow on gamma counts. ' \ t:: <I) <I) \ 0... \ 90 t:: t:: :::. \ \ ;; (.) \ I \ (.) ' + 85 'b 6

Table + c aparison 'of snow depth, water, quality, and frozen snow as,related to heutron and gamma counts for two successive days, I '... 3.Pt'm. Date June l, 1962 June 2, 1962 Snow Snow depth water Inches 51.5 48.5 Difference 2.2 29.2 27.0 Snow quality :Eercent ice 82 95 Neutron GaiilllB Frozen counts counts snow lzooo c.e.m Inches 6.7 48 24.1 7 2 49 25.7 + 1.6 MEASUREMENT TECHNIQUES Several tests were made to appraise the performance of radia active probes which might affect their effectiveness as hydrologic tools. The volume of snow being sampled by each probe was tested by inseing the probe in the snow and then systematically narrowing the cylinder of snow around the probe until the counts dropped. The l results showed that a 5 percent reduction in count (95 percent of total counts) arose when the diameter of this cylinder was between l2 and 13 inches for the neutron probe and between 16 and 17 inches for the gamma probe. Simple tests were made (a) to test the relationship between the extension of the aluminum access tube above the snow and the counts obtained, and (b) to test the effect of proximity of the probe to the ground. We found that with the gamma probe the length of the access tube had drastic effects on counts near the snow surface (fig. 6). Only when the access tube extended at least l2 inches above the snow were reasonable counts obtained at the shallow snow depths. The effect of nearness to the soil surface was important in the use of the gamma probe. Densities of snow closer than 8 inches to the soil surface could not be determined by this probe. Proximity of the probe to the soil had no apparent effect on the neutron count, perhaps because the water contents of the snow and of the soil were similar in these tests. SNOWMELT The rate of melt of spring snowpacks has been found in preliminary tests to vary widely from year to year, even when the melt i2 expressed in terms of the amount of heat rather than time alone. Anderson, Henry w. Forest cover effects on snow accumulation and melt, Central Sierra Snow Laboratory. 37(3):307312. 1957 7 Amer. Geophys. Union

How many degreedays will be required before the melt of the pack starts and at what rate does the pack melt per unit of degreeday after the ) strt? By :comparing three :conditions {fig. 7) which had widely different snowpack characteristics early in spring (April 37, 1962), we found that the lag in the beginning of melt and the rate of melt under these conditions were related to the neutron and gamma count profiles in the snowpack {table 2). The lower layers of the snowpacks had remarkably uniform gamma and neutron counts {43,000 gamma counts and 5,800 to 6,000 neutron counts per minute). But the top layers of the snowpack showed fewer counts and widely different counts among the three conditions. The counts in the top snow layers appeared to be related to the delay in start of the snowpck melt and to the rate of melt after it starts (fig. 7) This possibility that the contribution of snowmelt to streamflow can be predicted by using radioactive probes deserves further exploring. Table 2.Spring snowmelt at three sites as related to neutron and gamma counts at top and bottom of snowpack, Central Sierra Snow Laboratory, elevation 7,500 feet, 1962 Condition Open Shaded Forest Neutron counts Gamma counts ToP1 Bottom1 Top1} : Bottom1 1,000 c.p.m. 5.2 6.0 39 43 3 5 6.0 35 43 3 5 5.8 35 43 Lag in melt Melt rate ( inche s per {degreedays): degreeday) 60 0.15 90 0.11 130 0.10 g One foot from top and bottom of snowpack. 8

70 ' "' 'b '::: 50 " " " " ',,Shaded!:: " 40 ' ',,)<Forest ' ' 'b ' '"' ',,'\. ',... 1:3 30 <::) Open 20 ', ', 10...... C\J., ' C)_ "'( 'b t::: ' '\. 0 0 200 800 lr) NOTICE: A uniform system of naming report series has been adopted for Forest Service Experiment Stations. Beginning January 1, 1963, research documents published by the Forest ervice will be in one of these three series: 1. A numbered series, U.S. Forest Service Research Papers. 2. A numbered series, U.S. Forest Service Research Notes. 3 A numbered series, U.S. Forest Service Resource Bulletins. The publishing unit will be identified by letters before the number, and the numbers will be consecutive in the order of publication dates. For example, this Station's first Note in 1963 is designated U.S. Forest Service Research Note PSW1. Certain miscellaneous material, such as annual reports and experimental forest guides, will continue to be issued as unnumbered, nonserial publications. The Research Note series formerly published by this Station closed with the release of Research Note No. 211, 1962. Figure 7.Snowmelt start and melt rate related to degreedays. 15 percent N.E. slope, elevation 7,500 feet, Central Sierra Snow Laboratory. April 1, 1961 June 25, 1962. 9

U. S. DEPARTMENT OF AGRICULTURE FOREST SERVICE PACIFIC SOUTHWEST FOREST AND RANGE EXPERIMENT STATION POST OFFICE BOX 245 BERKELEY 1. CALIFORNIA POSTAGE AND FEES PAID U. S. DEPARTMENT OF AGRICULTURE OFFICIAL B).JSINESS FRED LAVIN CRARS USDA P 0 BOX 858 MESA ARIZONA 8 01