INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 4, 2012
|
|
- Marjorie Moody
- 6 years ago
- Views:
Transcription
1 INTERNATIONAL JOURNAL OF GEOMATICS AND GEOSCIENCES Volume 2, No 4, 2012 Copyright 2010 All rights reserved Integrated Publishing services Research article ISSN Spatial distribution of rainfall in Salem and Namakkal districts Jegankumar.R 1, Nagarathinam S.R 2, Kannadasan.K 3 1- Assistant Professor, Department of Geography, School of Geosciences, Bharathidasan University, Tiruchirappalli 2- Associate Professor & Head, Department of Geography, Govt., Arts College (Autonomous), Coimbatore 3- Guest Lecturer, School of Geosciences, Bharathidasan University jegankumar@gmail.com ABSTRACT The spatial distribution of rainfall shows a unique pattern in Salem and Namakkal Districts. By analyzing the long term rainfall data, the results shows that Summer contributes 18.73%, Southwest monsoon produces 40% and North east 40%. The average mean rainfall of the study area is mm. The variability indicates higher variability in winter to compare other seasons. Similarly precipitation ratio is carried out to bring out the anomalies in the distribution and the rainfall frequency is calculated to understand the occurrences. GIS is effectively used in this attempt to compute and produce maps. Keywords: Rainfall, rainfall variation, Salem district rainfall, Namakkal district rainfall. 1. Introduction Rainfall is unique variable, which reflects multiple factors locally and globally. The distribution of rainfall depends upon various factors existing at regional scale. Rainfall is being a single most important factor for success of crops in the farming areas. South west monsoon (June September) is the most important season as it brings more amounts of rainfall to major parts of India and the northeast monsoon is the returning monsoon from October to December, it pours supplementary rainfall and apart from conventional rainfall during summer. Study of rainfall over a long period is called rainfall climatology. It brings out the general pattern and characteristics of rainfall of a particular region (Sahu, 2003). Usually rainfall is studied as weekly, monthly, seasonally and annually. The best understanding of rainfall is useful for various agronomic activities (Mavi, 1994). In this study GIS is effectively used to interpolate the rainfall for various analysis and preparation of maps. 2. Study area The study area lies between 11 00' and 12 00' North latitude and 77 40' and 78 50' of East longitude. It occupies an area of 8, 658 sq.km. The present study area is land locked by Erode in the west, Karur and Tiruchirappalli in the south, Perambalur and Cuddalore in the east, Villupuram in the northeast and Dharmapuri in the northern direction. It has many hills and valleys. Many structurally controlled hills of the Eastern ghats are present in the study area. They are Shevorys, Kolli hills, Cheteri hills, Kalarayan hills and Pachamalai. In the North of study area Shevorys (Yercaud) is present with the maximum elevation of 1,652m. East of shevorys part of Cheteri Hills and Kalrayan Hills are present. Kolli hill is located in the south eastern direction. The maximum elevation of the Kolli hill is about 1,300m and a part Submitted on April 2012 published on May
2 Pachamalai is present in eastward of Kolli hills. The well marked Attur Gap is located between Kalrayan hill and Pachamalai. In the Northwestern part of study area Stanley Reservoir is located and it is surrounded by hills elevation with 768m. Apart from the major hills few hillocks also seen in the plain region. Kongu upland is located in the west, Karur plain and Musri plain in south and Ponnaiyar plain and Vellar plain are located in the east. The present study area comprises of two districts such as Salem and Namakkal Districts of Tamilnadu. At present Salem District contains 9 Taluks, 20 Blocks, 33 town panchayats, four revenue divisions, 631 revenue villages, four municipalities and one corporation. The District occupies an area of 5, sq.kms. The Namakkal District consists of four taluks, fifteen blocks, two revenue divisions, nineteen town panchayats, 391 revenue villages, 331 panchayat villages and five municipalities, the Namakkal district is spread about 3, km 2. The total area of the study area is 8, sq.kms. The population of Salem district is 34,80,008 according to 2011 Census. It ranked fifth among the District in population of the Tamilnadu. Similarly Namakkal district consists of 17,38,376 people and it is in 21 th position among the districts. The location of the study area is given in the figure1. The figure 2 illustrates the location of rain gauge stations in and around the study area. Figure 1: Study area map 977
3 2.1 Data and analysis Figure 2: Location of rain gauge stations There are thirty seven rainfall stations selected for the present study. The daily rainfall data for the period of have been collected for major stations and available rainfall stations which are installed in last five years. The daily rainfall data has been tabulated as monthly for the respective rain gauge stations. The tabulated data are analyzed to calculate mean rainfall, coefficient of variation, precipitation ratio and frequency. The results are mapped in GIS environment by applying spline interpolation. 2.2 Mean annual rainfall The location of the study area is an important factor for the distribution of rainfall. In the study area, three seasons have significant amount of rainfall out of the four seasons. The well marked hills in the north and south directions play a key role in the spatial distribution of rainfall. 978
4 Table 1: Annual mean and seasonal rainfall Sl. Southwest Northeast Mean Station Winter Summer No Monsoon Monsoon Annual 1 Salem Junction Salem Attur Omalur Namakkal Paramathi Mettur Yercaud Rasipuram Puduchatram Edappadi Pottaneri Kolathur Sankari Tiruchengode Erode Ammapet Kumarapalayam Mohanur Senthamagalam Thampampatti Dainshpet Karur Musri Thathaiangarpet Anaimadu Penagram Dharmapuri Harur Modakurichi Paramathi Karia Kovil Kullampatti Pillukurichi Vazaphadi Mangalapuram Gangavalli Average There are thirty seven rainfall stations found in and around the study area. The general pattern of the rainfall over this area shows that the southwest monsoon and northeast monsoon shares 80% totally, but spatial pattern is different, summer showers due to conventional rainfall contribute % and winter rain is about 1% annually. The annual average rainfall is about mm, mm during northeast monsoon, mm occur in southwest, mm in summer and 7.69mm occur in winter 979
5 2.3 Mean annual rainfall Spatial distribution of rainfall in Salem and Namakkal districts The mean annual rainfall is the sum of twelve month long term monthly average is computed. The annual average rain fall of the study area is mm, the annual mean varies from mm to mm. Southwest and northeast monsoon shares 80 percent of rainfall and summer contributes by 18 percent and winter shares 1%. The stations Yercaud and Gangavalli record more than 1000mm rainfall, the following stations receive between 900mm and 1000mm. They are Kolathur, Anaimadu, Salem, Omalur, Pillukurichi, Edappadi, Kariakovil, Erode and Salem Jn. Less than 500mm of rainfall occurs in Mohanur and Paramathi. The mean annual rainfall of the study area is classified into five categories less than 700mm of rainfall occurs in north of Kadayampatti, Paramathi, Kabilarmalai, Senthamagalam and Veerapandi blocks of the study area. Rainfall between 700 and 800mm is found on west of Senthamagalam, eastern part of Tiruchengode, Vennandur, Panamarathuppatti, Vazaphadi, East of Attur and in Mettur in the western part of the study area. The mean annual rainfall for the all stations shown in table 1 and figure 3 illustrates the mean annual rainfall of the study area. 2.4 Winter Figure 3: Mean annual rainfall The winter season contributes small amount of rainfall to the annual share. In this season rainfall varies from 2mm to 22mm. In the winter season the maximum rainfall occur in the hilly areas of Yercaud. Apart from the Yercaud block all parts of the study area receive less than 10mm of rain fall during winter season. The seasonal pattern of rainfall of the study area is shown in figure Summer The average rainfall of the summer season is about mm (20%) of total annual rain of the study area, ( mm). During the summer season showers were common in this study area (Ramanan, 2006) in the summer season rainfall varies from 80.4mm at Paramathi and mm at Yercaud. Less than 100mm of rainfall was found in north of Kadayampatti, Kabilarmalai and northern part of Erumaipatti. From 100 to 125mm of rainfall occurs in 980
6 Gangavalli, Attur, Senthamagalam, Namagiripettai, Erumaipatti, northern part of Kabilarmalai, Paramathi and few parts of Kadayampatti. Between 125 and 150mm amount of rainfall during the summer season occurs in Vazaphadi, northern parts of Pethanaickanpalayam, Vennandur, Veerapandi, west of Namakkal, and few parts of northern Omalur block. More than 150mm of rain fall is present during the summer in the following blocks namely Thalaivasal, Tiruchengode, Pallipalayam, Edappadi, Kolathur, and Yercaud. 2.6 Southwest monsoon The winds from Arabian Sea bring more rainfall to the western part of the country. A few places in Tamilnadu receives more rainfall during the southwest monsoon season. A Branch of wind belongs to southwest monsoon is able to reach over Salem and Namakkal through Palaghat Gap, it was obstructed by hills present in the study area. As result of orographic effect, the windward side around Namakkal, Sankari, Omalur, Salem and Yercaud gets more rain. Areas between Kolli hills and around Attur become rain shadow during this period. During the southwest monsoon the rainfall varies between 119 mm at Mohanur and 828mm at Yercaud. The average rainfall of this season is about mm (40%) of the total mean annual rainfall. Less than 150mm of rainfall is found only in the northern part of Kadayampatti, western part of Kolathur, and southern part of Kabilarmalai. Between 150 and 250mm of rainfall occurs in few parts of Kolathur, Mecheri, southern part of Tiruchengode, and Erumaipatti. This category ( mm) of rainfall occur in vast area, which include, Sankari, northern part of Tiruchengode, Senthamagalam, Kollimalai, western part of Gangavalli, Attur, southern Vazaphadi & Ayothiyappattinam, and Tharamangalam in west. From 350 to 450mm of rainfall found in the following areas of Omalur, Veerapandi, Namakkal, Panamarathuppatti, northern part of Pethanaickanpalayam and western part of Thalaivasal and eastern part of Gangavalli. More than 450mm of rainfall prevails over Yercaud, Salem and Thalaivasal. 2.7 Northeast monsoon The retreating monsoon is called northeast monsoon, it is prevail in the period from October to December. From this monsoon, east cost of Peninsular India and interior parts of Tamilnadu receive rain; through the depressions originate from Bay of Bengal. The study area receives 40.34% of total mean annual rain fall from northeast season and the table 2 indicates the northeast monsoon season rainfall of the study area. The rainfall varies during the season from 229mm at Paramathi to 558mm at Kolathur. Attur Gap Plays significant role, it provides a path to the rain clouds from Bay of Bengal to the inner parts of the study area. The Yercaud and Kolli Hills create a rain shadow effect on the west of each hills, it is clearly seen in the spatial distribution. During this period Kolathur and Mettur located straight to the Attur Gap is benefited in the season by receiving more than 475mm rainfall. The windward side of Kolli hills, Yercaud and Southern side of Kalarayan receive more than 475mm of rainfall. Rainfall between 150 and 250mm occur only in the few places of southern part of Kadayampatti, Veerapandi, Senthamagalam, and Kabilarmalai. Rainfall from 250 to 300mm is found in Kolathur, Omalur, Salem, Attur, Sankari, Tiruchengode, Veerapandi, Rasipuram, Paramathi, Erumaipatti, Vennandur, Puduchatram and middle parts of Magudanchavadi. Rainfall of 350 and 450mm is the second major category found in this region, which covers south of Thalaivasal, eastern part of Gangavalli, Yercaud, northern parts of Pethanaickanpalayam, eastern part Kolathur and central Edappadi. 981
7 Figure 4: Seasonal rainfall distributions 982
8 3. Rainfall variability Spatial distribution of rainfall in Salem and Namakkal districts The coefficient of variation (CV) defined as the standard deviation divided by the mean value of rainfall. It shows the variability of rainfall in percentage. The higher the variability percentage, the lower is the dependability and vice versa. For the monthly case less than 100% of CV is dependable, while more than 100% not dependable rainfall. CV = (SD/Mean) X 100 where SD = Standard deviation Mean annual variability The mean annual variability of the study area is calculated for the thirty eight rainfall gauge stations located in and around the study area. Coefficient of variability is calculated from the long term mean annual rainfall and standard deviation of the each rainfall station. The annual variability is 30.41% and it varies from 20% to 50% in the study area. The minimum variability is found at Kariakovil at north (14%) and the Maximum variability is found at Paramathi in the south (53%). The low variability (less than 20%) is found in the east, northeast and northwestern part of the study area, which includes around Gangavalli and Thalaivasal in the east, the area around Kariakovil in the northeast, Pottaneri and Pillukurichi on the northwestern part of the study area. The Salem, Omalur, Kolathur, Pillukurichi, Mangalapuram, Paramathi, Kumarapalayam, Mettur dam, Tiruchengode, Yercaud, Sankari, Edappadi, Puduchatram, Senthamagalam and Namakkal are covered with percentage of variability. The variability range of percentage is found in the following places Vazaphadi, Kullampatti, Attur, Rasipuram, Thampampatti and Dainshpet. Areas around north of Dainshpet in the north and areas around Mohanur in south were under percentage of variability. More than 50 percentage of variability is found in the west of Yercaud and down south of Paramathi. The mean annual variability shown in figure 5 and in table 3 annual and seasonal variability is shown. Figure 5: Mean annual variability 983
9 3.2 Winter rainfall variability Spatial distribution of rainfall in Salem and Namakkal districts The mean rainfall variability of winter season is % and varies between 66.20% and 318%, maximum variability is found in Gangavalli and minimum is present over Kariakovil. The low variability of less than 150% is present around Kariakovil in the northeast, Attur and Vazaphadi in the east and the portions of east face of Yercaud are in less than 150% of variability. Similar conditions prevail over Puduchatram in the central part of Namakkal District. Variability of % is seen over in the following places, Middle portions of Yercaud, Kullampatti, Anaimadu and Edappadi. The variability range of percentage is seen over in the following places Ammapet, Attur, Tiruchengode, Mettur, Pottaneri, Rasipuram, and Kolathur. The range variability between 175 and 225 concentrates over northeast and southwest central portions of the study area. High variability range between % is seen more in the study area than other variability categories, it spreads around central, southeast and a small area in the north. The places records high variability include Pillukurichi, Salem, Senthamagalam, Mangalapuram, Thampampatti, Paramathi, Omalur, Namakkal, Kumarapalayam and Sankari. The very high variability of more than 300% is seen towards east of Gangavalli, Mohanur south of Omalur and north of Dainshpet. The high variability in winter season of among all season states that the occurrence of less rainfall during winter. Table 3: Annual and seasonal rainfall variability Sl.No Stations Winter Summer Southwest Northeast Annual monsoon Monsoon Mean 1 Salem Junction Salem Attur Omalur Namakkal Paramathi Mettur Yercaud Rasipuram Puduchatram Edappadi Pottaneri Kolathur Sankari Tiruchengode Erode Ammapet Kumarapalayam Mohanur Senthamagalam Thampampatti Dainshpet Karur Musri Thathaiangarpet
10 26 Anaimadu Penagram Dharmapuri Harur Modakurichi K. Paramathi Kariakovil Kullampatti Pillukurichi Vazaphadi Mangalapuram Gangavalli Average Summer rainfall variability The summer variability of the study area is percentage, it varies between 24.6 and 104 percentage of variability. Less than 50 percentage of variability is found in the east of Attur and around Thalaivasal, similar variability prevails also in Kariakovil, Edappadi, Yercaud, Salem Jn, Salem, Omalur, Mettur, and Namakkal, the central part of Namakkal, around Thampampatti in the east and north of Mettur in the percentage variability range. The variability between 60 and 70 percentage occur in the following areas Kolathur, Sankari, Dainshpet, Mohanur, and Kumarapalayam. The high variability of more than 70% is found in the southeast of Kollimalai, west of Paramathi north of Dainshpet. The drastic down variability during summer season indicates that the rainfall during this season is higher than winter. The summer showers contribute mm (18.73%) of rainfall to the total annual rain. In general the central part and the eastern sector receive more rain which was indicated by the less variability. 3.4 Southwest monsoon rainfall variability The rainfall variability of the southwest monsoon is about 42.79%. The season contributes 40 % of total annual rainfall as equal to northeast monsoon. The variability of southwest monsoon season varies between 21% at Edappadi and 71 % at Paramathi. The regions influenced by southwest monsoon have less variability than other places. Less than 30 percentage of variability is found along the west around Omalur, Edappadi, Sankari and Kolathur. The block around Thalaivasal and places around Attur exhibit less than 30% of variability. The zone of percentage of variability is found periphery of the zone of less than 30 percentage of variability, the places include Salem Jn, Kariakovil, Pillukurichi, Sankari, Attur, Gangavalli, Mettur, Kumarapalayam and Puduchatram. The moderate amount of variability between 40 and 50 percentage of variability covers the major parts of Rasipuram, Namakkal, Tiruchengode and other parts of Namakkal and the northern boundary of the study area. The major portions of southeast and few places around north were covered by 50 to 60 percentage of variability. High variability of more than 30 percentage of variability exists in the north of Yercaud, the west of Kolathur and the south of Mohanur. 985
11 Figure 6: Seasonal rainfall variability 986
12 3.5 Northeast monsoon rainfall variability The variability of the northeast monsoon had shown the strength of the northeast monsoon. The spatial pattern clearly indicates that the prominent hills located in the study area create rain shadow effect in the northeast monsoon season. The regional variability of the northeast monsoon season is 91% and it varies from % at Kariakoil and 31.8 % at Namakkal. The eastern part of the study area, north of Kolli hills and west of Mettur are found in less variability of < 45%. Variability of percentage is found in the western part of the study area, similar variability occur in the area between Attur, Salem and around Thampampatti and west of Gangavalli. A linear area in the central and the west of Kolathur is covered under percentage of variability. The maximum variability more than 75 percentage is found in the west of Kollimalai and west of Yercaud hills. This region may have a shadow during the northeast monsoon. Even though this season shares equal rain along the southwest monsoon and the spatial distribution pattern is different. 3.6 Precipitation ratio The abnormalities of rainfall at a specific region can be drawn through a simple ratio of precipitation. The ratio may give the stability of rainfall with spatial pattern. Higher the ratio is the higher the abnormality in rainfall and the lower in ratio indicates the less anomaly. The formula used to calculate precipitation ratio is as follow. Precipitation Ratio = (P x P n )/P m x 100 Where: Px = Maximum of Rainfall, Pn = Minimum of Rainfall and Pm is the mean rainfall. 3.7 Mean annual precipitation ratio The mean annual precipitation ratio of the study area is 19.75%, the ratio calculated from the monthly mean of the respective season., It varies between 14% at Penagram and Maximum at 28% at Mohanur. The majority of the area under less than 20 percentage area Yercaud, Namakkal, Edappadi, Mangalapuram, Senthamagalam, Dainshpet, Salem, Kullampatti, Sankari, Salem Jn, Omalur, Rasipuram,,Vazaphadi, Mettur Dam, Attur, Puduchatram, Tiruchengode and Erode. The mean annual precipitation ratio between 20 and 25 percentage is found in the following areas Kariakovil, Pillukurichi, Anaimadu, Kolathur, Paramathi, Thampampatti, Gangavalli and more than 28 % found in Mohanur. (Table 4) 3.8 Winter precipitation ratio The seasonal precipitation ratio is shown in the figure 6. It is depicts the seasonal and annual precipitation ratio. During the winter season the average precipitation ratio of this region is %, it varies at maximum of 1381 % at Salem Jn and minimum of % at Anaimadu. Zones with less than 500% cover the northeastern portion and areas around Namakkal. The following regions such as such as Kullampatti, Yercaud, Attur, Tiruchengode, Musri, Pillukurichi, Rasipuram, Gangavalli, Paramathi and Mohanur were under percentage of precipitation ratio. The central part of the study area intercepted by precipitation ratio zone of , the following areas were partly covered in this category, Senthamagalam, Mettur, Paramathi, Dainshpet, Namakkal. More than
13 percentage of Kolathur. precipitation ratio is found in southeast of Namakkal, west of Salem and 3.9 Summer precipitation ratio The summer precipitation ratio of the study area is % and it varies between 13% and 443%. The south eastern sector, west of Mettur and towards north of Yercaud express high precipitation ratio of more than 250 % and following areas show high abnormality during this season they are K. Paramathi, Salem, Senthamagalam, Sankari, Attur, Dainshpet, Thampampatti, Pillukurichi, Mangalapuram and Gangavalli. Less than 150 percentage of precipitation ratio is found in and around of the following places Paramathi, Kariakovil, Anaimadu, Edappadi, Puduchatram and Vazaphadi, these areas under 150 % have fewer anomalies to compare the other areas Southwest precipitation ratio Southwest monsoon season is an important monsoon season for the study area, it contributes 40% rain to annual total. The average precipitation ratio of the region in southwest season is %, which is lesser than other three seasons. The precipitation ratio varies between 51 % and 287 %. The lower category of less than 100 percentage is found in northeast portion of Attur Thalaivasal, Anaimadu, Kariakovil and west of Sankari, Yercaud along Omalur. The category percentage prevails most part of the Namakkal Districts of the study area, places around Yercaud and west of Kolathur percentage of precipitation ration prevails around Rasipuram west of Thampampatti and Mettur. The maximum amount of precipitation ratio is found over Yercaud hills and a small area around Thampampatti and the west of Kolathur Northeast precipitation ratio Northeast monsoon equally shares 40% rainfall as southwest monsoon to the total annual rainfall. The seasonal average precipitation is 188% prevails in this region during this period. The northeast precipitation ratio varies between Kariakovil at minimum of 83 % and maximum of 371% over Namakkal. The categories and percentage occupies western part of the study area. The eastern part of the study area has minimum abnormality, which is indicated by the lower precipitation ratio. The precipitation ration between 200 and 250 percentage prevails over the western middle part of the study area, it covers the areas include Paramathi, Rasipuram, Omalur, Salem and north of Dainshpet. The maximum precipitation ratio is found in Namakkal, east of Paramathi and north of Rasipuram. Table 4: Precipitation ratio Sl. No. Stations Winter Summer Southwest Northeast Monsoon Monsoon 1 Ammapet Anaimadu Attur Dainshpet Dharmapuri Edappadi
14 7 Erode Gangavalli Harur Paramathi Kariakovil Karur Kolathur Kullampatti Kumarapalayam Mangalapuram Mettur Modakurichi Mohanur Musri Namakkal Omalur Paramathi Penagram Pillukurichi Pottaneri Puduchatram Rasipuram Salem Salem Junction Sankari Senthamagalam Thampampatti Thathaiangarpet Tiruchengode Vazaphadi Yercaud Average Rainfall frequency Rainfall frequency is the number of time rainfall occurs at a specific class interval. There are 28 rainfall stations which have more than 15 consecutive years of rainfall data are having been taken for the frequency analysis. The mean annual rainfall data is classified into following categories less than 600, , , and more than 900. There are 730 times rainfall occurred in the study area for the selected period. More than 900mm of rainfall occurred 270 times in the study area, which accounts maximum contribution. Less than 600mm of rainfall occurred 133 times. Rainfall amount of mm and mm rainfall events occurred 115 and 112 times respectively. The range of 600mm to 700mm of rainfall occurred 100 times. The station wise frequency of occurrence is given below in the table
15 Sl. No. Rain Stations Figure 7: Seasonal precipitation ratio Table 5: Rainfall frequency (Annual) Gauge < > Attur Dainshpet Kolathur Kullampatti Kumarapalayam
16 6 Mettur Namakkal Nangavalli Omalur Paramathi Pillukurichi Rasipuram Salem Salem Jn Sankari Senthamagalam Thampampatti Musri Thathaiangarpet Karur Penagram Erode Modakurichi Tiruchengode Yercaud Mangalapuram Total number of occurrences Figure 8: Frequency curve for selected station from the above table 991
17 4. Conclusion The study of thirty seven rainfall station with long term rainfall data shows the annual mean rain is mm, south west and northeast monsoon season contributes and mm respectively. Both the monsoon seasons give 40% of rainfall each to the annual rain. The spatial distribution pattern is different because of the hills with different elevation spread across the study area. Significantly the summer season contributes 18.73%. The winter season receives minimum rainfall among the other season. The variability indicates more 100 % of variability observed in the winter season and the other three season the variability was below 100%, which indicates the dependable rainfall is available during these period. By observing the precipitation ratio of the east and south eastern side, more abnormality is found than the western side. In the south west and northeast season the area having more abnormality is very less. The rainfall frequency indicates more than 900 mm rainfall has higher frequency followed by 133 for less than 600. The overall observation shows except winter season, all seasons have rainfall without much variability. 5. References 1. A Gazetteer of Southern India with the Tenasserim provinces and Singapore, Printed and Published by Pharoah and Co, Madras, pp Afzal Sharieff et al., (2010) Agricultural Meteorology, Sarap Book Publishers private, Ltd, New Delhi. 3. Alaguraja. P Manivel.M, Nagarathinam, S.R Sakthivel. R and Yuvaraj D., (2010), Rainfall Distribution Study in Coimbatore District Using GIS, Recent Trends in Water Research Remote Sensing and General Perspectives, I.K International Publishing House Pvt. Ltd. New Delhi, pp Ananthakrishnan R., (1979), Some feature of the southwest monsoon rainfall along the west coast of India, Proceedings in Indian academy of Science, 88 A, Part II, pp Bishnoi, O.P., (2010), Applied Agroclimatology, Oxford Book Company, Jaipur, India. 6. Gadgil A., (1986), Annual and weekly analysis of rainfall and temperature for Pune: A multiple time series approach, Institute of Indian Geographers, 8(1), pp Gangai, P., Aruchamy, S., and Selvam, K., (2008), Rainfall Characteristics and Drought Prone Area of Pudukkottai District, Tamilnadu, Indian National Geographer, 23(1&2), pp Hema malaini, B., (1986), Climate and landuse of Ananthapur Dt, Andhra Pradesh, Transactions, Institute of Indian Geographers, 8(1), pp Ishappa Muniyappa Rathod, Aruchamy S., (2010), Spatial Analysis of Rainfall Variation in Coimbatore District Tamilnadu using GIS International Journal of Geomatics and Geosciences, 1(2), pp
18 10. Ishappa muniyappa rathod. Aruchamy.S., (2010), Rainfall Trends and Pattern of Kongu Upland, Tamilnadu, India using GIS Techniques, International Journal of Environmental Sciences, 1(2), pp Jagannadha Sarma V.V (2005), Rainfall pattern in the coastal zone of Krishna- Godavary basin Andhra Pradesh, India, Journal of applied hydrology, 28(1&2), pp Kusre B.C, Singh Kh.S., (2012), Study of spatial and temporal distribution of rainfall in Nagaland (India),, 2(3), pp Lalitha Devi., (1992), Climatic Characteristics, Water Balance of Utter Pradesh, Journal of Scientific Research, pp Nagarathinam, S.R., (1990), Agroclimatological Aspects of Coimbatore District, Unpublished Ph.D., Thesis, Madras University, Chennai. 15. Raghavendra Ramanan, S., (2006), Water Balance Modeling of Rainfed Crop: A Study of Sorghum and Groundnut in Salam and Namakkal District, Unpublished Ph.D., Thesis, Madras University, Chennai. 16. Ramos., (2001), Rainfall distribution pattern and their over time in a Mediterranean area. Theoretical and Applied Climatology, 69, pp Sahu,D.D., (2003), Agrometreology and Remote Sensing Principles and Practices, Argobios (India), Jodhpur, pp Saravanan, E., (1994), Agroclimatological Studies of Kerala State for Application in Land Use Planning, Unpublished Ph.D., Thesis, Cochin University, Science and Technology, Cochin. 19. Sastri, A.S.R.A.S., Divakar Naidu. and Somnath Choudhury. (2009). Agro-topo Climatological Studies for Crop Planning A Case Study for the Northern Hills Agroclimatic Zones of Chattisgarh State, Journal of Agrometeorology, 11(1),pp Subramaniam.A. R., (1992), Climatic variability in India. Annals of the National Association of Geographers, India, 20(3), pp Subrahamanyan, V.P. (1983), General Climatology, Heitage Publishers, New Delhi, India. 22. Syiemlieh,H.J.(2004), Orographic effects on the distribution of rainfall in north-east India, Transactions of Institute of Indain Geographers, 26(1), pp Thornthwaite, C.W. (1948), An Approach toward a Rational Classification of Climate, Geographical Review, 38(1), pp Tripathi, S. K (2009). Rainfall analysis for crop planning: A lesson from Uttarakhand, Journal of applied hydrology, 22(1), pp
19 25. Umamathi, S., Aruchamy, S.,(2011) Rainfall Rhythm of Suruli AR Watershed, Theni District, Tamilnadu A GIS Approach, International Journal of Geomatics And Geosciences, 20(1), pp Venkatraman, S(1992), Crops and Weather, Indian Council of Agriculture, New Delhi. 994
Rainfall Analysis in Sri Kalahasti Mandal, Chittoor District, Andhra Pradesh, South India Using Statistical Technique
IOSR Journal of Engineering (IOSRJEN) ISSN (e): 2250-3021, ISSN (p): 2278-8719 Vol. 08, Issue 8 (August. 2018), V (I) 43-50 www.iosrjen.org Analysis in Sri Kalahasti Mandal, Chittoor District, Andhra Pradesh,
More informationRainfall variation and groundwater fluctuation in Salem Chalk Hills area, Tamil Nadu, India
Rainfall variation and groundwater fluctuation in Salem Chalk Hills area, Tamil Nadu, India N. Thilagavathi 1, T. Subramani 2, M. Suresh 3 and C. Ganapathy 1 1 Department of Civil Engineering, Sona College
More informationSpatial and Temporal Analysis of Rainfall Variation in Yadalavagu Hydrogeological unit using GIS, Prakasam District, Andhra Pradesh, India
International Research Journal of Environment Sciences ISSN 2319 1414 Spatial and Temporal Analysis of Rainfall Variation in Yadalavagu Hydrogeological unit using GIS, Prakasam District, Andhra Pradesh,
More informationvariation analysis of Vattamalaikarai sub basin, Tamil Nadu, India.
A Study on the Rainfall Changes of Orathanadu Taluk Thanjavur District Tamil Nadu Using GIS P. Sujatha 1, Dr. R Baskaran 2 1 Research Scholar, Department of Industries and Earth Sciences, Tamil University,
More information3. HYDROMETEROLOGY. 3.1 Introduction. 3.2 Hydro-meteorological Aspect. 3.3 Rain Gauge Stations
3. HYDROMETEROLOGY 3.1 Introduction Hydrometeorology is a branch of meteorology and hydrology that studies the transfer of water and energy between the land surface and the lower atmosphere. Detailed hydrological
More informationASSESSMENT OF RAINFALL VARIABILITY IN GIS ENVIRONMENT AT SARABANGA SUB-BASIN CAUVERY RIVER SOUTH INDIA
ASSESSMENT OF RAINFALL VARIABILITY IN GIS ENVIRONMENT AT SARABANGA SUB-BASIN CAUVERY RIVER SOUTH INDIA *S. Vekateswaran, M. Vijay Prabhu, M. Suresh and S. A. Palanisamy 1 Geohydrology Lab, Department of
More informationP.Arulbalaji, B.Gurugnanam
Analysis of Rainfall through Space - Time during 1999-2014 in Salem District, South India P.Arulbalaji, B.Gurugnanam Centre for Applied Geology, Gandhigram Rural Institute Deemed University, Dindigul,
More informationAnalysis of Rainfall and Other Weather Parameters under Climatic Variability of Parbhani ( )
International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 7 Number 06 (2018) Journal homepage: http://www.ijcmas.com Original Research Article https://doi.org/10.20546/ijcmas.2018.706.295
More informationStudy of Hydrometeorology in a Hard Rock Terrain, Kadirischist Belt Area, Anantapur District, Andhra Pradesh
Open Journal of Geology, 2012, 2, 294-300 http://dx.doi.org/10.4236/ojg.2012.24028 Published Online October 2012 (http://www.scirp.org/journal/ojg) Study of Hydrometeorology in a Hard Rock Terrain, Kadirischist
More informationKey Finding: Long Term Trend During 2014: Rain in Indian Tradition Measuring Rain
Chapter 34 RAINFALL Key Finding: Long Term Trend Despite of theories suggesting increase in rainfall in Asian Region due to global warming, no significant trend has been observed at all India level (confirmed
More informationLong-Term Trend of Summer Rainfall at Selected Stations in the Republic of Korea
Long-Term Trend of Summer Rainfall at Selected Stations in the Republic of Korea Il-Kon Kim Professor, Department of Region Information Rafique Ahmed Professor, Geography and Earth Science Silla University
More informationAdvanced Hydrology. (Web course)
Advanced Hydrology (Web course) Subhankar Karmakar Assistant Professor Centre for Environmental Science and Engineering (CESE) Indian Institute of Technology Bombay Powai, Mumbai 400 076 Email: skarmakar@iitb.ac.in
More informationEffect of rainfall and temperature on rice yield in Puri district of Odisha in India
2018; 7(4): 899-903 ISSN (E): 2277-7695 ISSN (P): 2349-8242 NAAS Rating: 5.03 TPI 2018; 7(4): 899-903 2018 TPI www.thepharmajournal.com Received: 05-02-2018 Accepted: 08-03-2018 A Baliarsingh A Nanda AKB
More informationFrequency analysis of rainfall deviation in Dharmapuri district in Tamil Nadu
Indian Journal of Geo Marine Sciences Vol.46 (8), August 217, pp. 171-1714 Frequency analysis of rainfall deviation in Dharmapuri district in Tamil Nadu V. Rajendran 1* & R. Venkatasubramani 2 1 Department
More informationSuppressed Surface Heating over northwestern parts of the Country and the ensuing Monsoon Rainfall
Suppressed Surface Heating over northwestern parts of the Country and the ensuing Monsoon Rainfall During this year, the temperatures have been below normal over north and northwestern parts of India.
More informationEffect of land use/land cover changes on runoff in a river basin: a case study
Water Resources Management VI 139 Effect of land use/land cover changes on runoff in a river basin: a case study J. Letha, B. Thulasidharan Nair & B. Amruth Chand College of Engineering, Trivandrum, Kerala,
More informationRainfall is the major source of water for
RESEARCH PAPER: Assessment of occurrence and frequency of drought using rainfall data in Coimbatore, India M. MANIKANDAN AND D.TAMILMANI Asian Journal of Environmental Science December, 2011 Vol. 6 Issue
More informationCHAPTER 3 DESCRIPTION OF THE STUDY AREA
42 CHAPTER 3 DESCRIPTION OF THE STUDY AREA 3.1 INTRODUCTION The Gadilam river sub basin is located in the northern part of Tamilnadu. It is one of the sub basin of Ponnaiyar river basins. The sub basin
More informationGeographical location and climatic condition of the
Geographical location and climatic condition of the study sites North eastern region of India is comprised of eight states namely; Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim
More informationSpatial and Temporal Variability of Rainfall in Anand District of Gujarat State
Available online at www.sciencedirect.com ScienceDirect Aquatic Procedia 4 (2015 ) 713 720 INTERNATIONAL CONFERENCE ON WATER RESOURCES, COASTAL AND OCEAN ENGINEERING (ICWRCOE 2015) Spatial and Temporal
More informationSPATIAL TEMPORAL VARIABILITYOF RAINFALL TRENDS ANALYSIS IN NAGAPATTINAM COASTAL ZONE, TAMIL NADU
Journal of Global Resources Volume 4 (02) July 2018 Page 89-95 ISSN: 2395-3160 (Print), 2455-2445 (Online) 12 SPATIAL TEMPORAL VARIABILITYOF RAINFALL TRENDS ANALYSIS IN NAGAPATTINAM COASTAL ZONE, TAMIL
More informationSummary and Conclusions
241 Chapter 10 Summary and Conclusions Kerala is situated in the southern tip of India between 8 15 N and 12 50 N latitude and 74 50 E and 77 30 E longitude. It is popularly known as Gods own country.
More informationRainfall variation and frequency analysis study in Dharmapuri district, India
Indian Journal of Geo Marine Sciences Vol. 45 (11), November 216, pp. 156-1565 Rainfall variation and frequency analysis study in Dharmapuri district, India V. Rajendran 1*, R. Venkatasubramani 2 & G.
More informationClimate. 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 informationOccurrence of heavy rainfall around the confluence line in monsoon disturbances and its importance in causing floods
Occurrence of heavy rainfall around the confluence line in monsoon disturbances and its importance in causing floods GNAGESWARA RAO Department of Meteorology & Oceanography, Andhra University, Visakhapatnam
More informationRainfall variation and frequency analysis study of Salem district Tamil Nadu
Indian Journal of Geo Marine Sciences Vol. 46 (1), January 217, pp. 213-218 Rainfall variation and frequency analysis study of Salem district Tamil Nadu Arulmozhi.S 1* & Dr. Prince Arulraj.G 2 1 Department
More informationRainfall Analysis in Mumbai using Gumbel s Extreme Value Distribution Model
Rainfall Analysis in Mumbai using Gumbel s Extreme Value Distribution Model S. Sangita Mishra 1, M. Solapure 2, R. Satpathy 3, K. Phadtare 4, S. Pawar 5 1 Assistant Professor, 2,3,4,5 Undergraduate students
More informationTHE STUDY OF NUMBERS AND INTENSITY OF TROPICAL CYCLONE MOVING TOWARD THE UPPER PART OF THAILAND
THE STUDY OF NUMBERS AND INTENSITY OF TROPICAL CYCLONE MOVING TOWARD THE UPPER PART OF THAILAND Aphantree Yuttaphan 1, Sombat Chuenchooklin 2 and Somchai Baimoung 3 ABSTRACT The upper part of Thailand
More informationComparison of GIS based SCS-CN and Strange table Method of Rainfall-Runoff Models for Veeranam Tank, Tamil Nadu, India.
International Journal of Scientific & Engineering Research, Volume 3, Issue 10, October-2012 1 Comparison of GIS based SCS-CN and Strange table Method of Rainfall-Runoff Models for Veeranam Tank, Tamil
More informationForecasting of meteorological drought using ARIMA model
Indian J. Agric. Res., 51 (2) 2017 : 103-111 Print ISSN:0367-8245 / Online ISSN:0976-058X AGRICULTURAL RESEARCH COMMUNICATION CENTRE www.arccjournals.com/www.ijarjournal.com Forecasting of meteorological
More informationSynoptic Analysis of Total Rainfall Patterns at Azerbaijan District.
Synoptic Analysis of Total Rainfall Patterns at Azerbaijan District Samad Vahdati 1, Shahrokh Shahrokhi Shirvani 2, Abolfazl Nazari Giglou 3 1,3 Department of Civil Engineering, Parsabad Moghan Branch,
More informationLong Range Forecast Update for 2014 Southwest Monsoon Rainfall
Earth System Science Organization (ESSO) Ministry of Earth Sciences (MoES) India Meteorological Department PRESS RELEASE New Delhi, 9 June 2014 Long Update for 2014 Southwest Monsoon Rainfall HIGHLIGHTS
More informationWeather and Climate Summary and Forecast October 2018 Report
Weather and Climate Summary and Forecast October 2018 Report Gregory V. Jones Linfield College October 4, 2018 Summary: Much of Washington, Oregon, coastal California and the Bay Area and delta region
More informationDelimiting the Flood Risk Zones in Cuddalore District, Tamil Nadu, India
Delimiting the Flood Risk Zones in Cuddalore District, Tamil Nadu, India P. Ravikumar 1, Dr. G. Baskaran 2 1 Research Scholar, 2 Assistant Professor, Department of Geography, University of Madras, Chennai
More informationAbstract. Introduction. International Journal of Remote Sensing & Geoscience (IJRSG)
ANALYSIS ON SPATIAL VARIATION OF RAINFALL AND GROUNDWATER FLUCTUATION IN KODAYAR SUB BASIN,TAMILNADU, INDIA Danee Joycee C.S Research Scholar Faculty of Building and Environment, Sathyabama University,
More informationDROUGHT RISK EVALUATION USING REMOTE SENSING AND GIS : A CASE STUDY IN LOP BURI PROVINCE
DROUGHT RISK EVALUATION USING REMOTE SENSING AND GIS : A CASE STUDY IN LOP BURI PROVINCE K. Prathumchai, Kiyoshi Honda, Kaew Nualchawee Asian Centre for Research on Remote Sensing STAR Program, Asian Institute
More informationDry spell analysis for effective water management planning
www.ijaser.com 2012 by the authors Licensee IJASER- Under Creative Commons License 3.0 editorial@ijaser.com Research article ISSN 2277 9442 Dry spell analysis for effective water management planning Kandasamy
More informationChapter 4 Inter-Annual and Long-Term Variability
Chapter 4 Inter-Annual and Long-Term Variability 4.1 General Rainfa\\ is the most imllortant weather element for India, a trollica\ country. Agriculture, hydro-electric power, industry and the economy
More informationProbability models for weekly rainfall at Thrissur
Journal of Tropical Agriculture 53 (1) : 56-6, 015 56 Probability models for weekly rainfall at Thrissur C. Laly John * and B. Ajithkumar *Department of Agricultural Statistics, College of Horticulture,
More informationDROUGHT IN MAINLAND PORTUGAL
DROUGHT IN MAINLAND Ministério da Ciência, Tecnologia e Ensino Superior Instituto de Meteorologia, I. P. Rua C Aeroporto de Lisboa Tel.: (351) 21 844 7000 e-mail:informacoes@meteo.pt 1749-077 Lisboa Portugal
More informationResearch Article Relationships between Rainy Days, Mean Daily Intensity, and Seasonal Rainfall over the Koyna Catchment during
The Scientific World Journal Volume 212, Article ID 894313, 1 pages doi:1.11/212/894313 The cientificworldjournal Research Article Relationships between Rainy Days, Mean Daily Intensity, and Seasonal Rainfall
More informationInvestigation of Rainfall Trend in Jorhat Town, Assam, India
EUROPEAN ACADEMIC RESEARCH Vol. II, Issue 7/ October 2014 ISSN 2286-4822 www.euacademic.org Impact Factor: 3.1 (UIF) DRJI Value: 5.9 (B+) Investigation of Rainfall Trend in Jorhat Town, MAYURAKSHI BHUYAN
More informationInterdecadal variation in rainfall patterns in South West of Western Australia
Interdecadal variation in rainfall patterns in South West of Western Australia Priya 1 and Bofu Yu 2 1 PhD Candidate, Australian Rivers Institute and School of Engineering, Griffith University, Brisbane,
More informationUPDATE OF REGIONAL WEATHER AND SMOKE HAZE (May 2017)
UPDATE OF REGIONAL WEATHER AND SMOKE HAZE (May 2017) 1. Review of Regional Weather Conditions in April 2017 1.1 Inter monsoon conditions, characterised by afternoon showers and winds that are generally
More informationChapter-3 GEOGRAPHICAL LOCATION, CLIMATE AND SOIL CHARACTERISTICS OF THE STUDY SITE
Chapter-3 GEOGRAPHICAL LOCATION, CLIMATE AND SOIL CHARACTERISTICS OF THE STUDY SITE Chapter-3 GEOGRAPHICAL LOCATION, CLIMATE AND SOIL CHARACTERISTICS OF THE STUDY SITE Assam, the eastern most state of
More informationSPATIO-TEMPORAL ANALYSIS OF URBAN POPULATION GROWTH AND DISTRIBUTION IN AURANGABAD CITY
International Journal of Research in Social Sciences Vol. 8 Issue 3, March 2018, ISSN: 2249-2496 Impact Factor: 7.081 Journal Homepage: Double-Blind Peer Reviewed Refereed Open Access International Journal
More informationWeekly Rainfall Analysis and Markov Chain Model Probability of Dry and Wet Weeks at Varanasi in Uttar Pradesh
885 Environment & Ecology 32 (3) : 885 890, July September 2014 Website: environmentandecology.com ISSN 0970-0420 Weekly Rainfall Analysis and Markov Chain Model Probability of Dry and Wet Weeks at Varanasi
More informationDROUGHT A WATER SCARCITY CASE STUDY BY STATISTICAL APPROACH
DROUGHT A WATER SCARCITY CASE STUDY BY STATISTICAL APPROACH V.VENKATESAN Assistant Professor, Department of Civil Engineering, University College of Engineering, Ariyalur Abstract In spite of the technological
More informationDETECTION OF TREND IN RAINFALL DATA: A CASE STUDY OF SANGLI DISTRICT
ORIGINAL ARTICLE DETECTION OF TREND IN RAINFALL DATA: A CASE STUDY OF SANGLI DISTRICT M. K. Patil 1 and D. N. Kalange 2 1 Associate Professor, Padmabhushan Vasantraodada Patil Mahavidyalaya, Kavathe- Mahankal,
More informationSALTSEEDING FROM AIRCRAFT OVER LINGANAMAKKI CATCHMENT, SOUTH INDIA
SALTSEEDING FROM AIRCRAFT OVER LINGANAMAKKI CATCHMENT, SOUTH INDIA A.S. Ramachandra Murty, A. Mary Selvam, C.P. Kulkarni, R.N. Chatterjee and Bh. V. Ramana Murty Indian Institute of Tropical Meteorology
More informationUPDATE OF REGIONAL WEATHER AND SMOKE HAZE (February 2018)
UPDATE OF REGIONAL WEATHER AND SMOKE HAZE (February 2018) 1. Review of Regional Weather Conditions for January 2018 1.1 The prevailing Northeast monsoon conditions over Southeast Asia strengthened in January
More informationUPDATE OF REGIONAL WEATHER AND SMOKE HAZE (September 2017)
UPDATE OF REGIONAL WEATHER AND SMOKE HAZE (September 2017) 1. Review of Regional Weather Conditions in August 2017 1.1 Southwest Monsoon conditions continued to prevail in the region in August 2017. The
More informationMONITORING OF SURFACE WATER RESOURCES IN THE MINAB PLAIN BY USING THE STANDARDIZED PRECIPITATION INDEX (SPI) AND THE MARKOF CHAIN MODEL
MONITORING OF SURFACE WATER RESOURCES IN THE MINAB PLAIN BY USING THE STANDARDIZED PRECIPITATION INDEX (SPI) AND THE MARKOF CHAIN MODEL Bahari Meymandi.A Department of Hydraulic Structures, college of
More informationStudy of Changes in Climate Parameters at Regional Level: Indian Scenarios
Study of Changes in Climate Parameters at Regional Level: Indian Scenarios S K Dash Centre for Atmospheric Sciences Indian Institute of Technology Delhi Climate Change and Animal Populations - The golden
More informationUPDATE OF REGIONAL WEATHER AND SMOKE HAZE (December 2017)
UPDATE OF REGIONAL WEATHER AND SMOKE HAZE (December 2017) 1. Review of Regional Weather Conditions for November 2017 1.1 In November 2017, Southeast Asia experienced inter-monsoon conditions in the first
More informationFlood hazard mapping in Urban Council limit, Vavuniya District, Sri Lanka- A GIS approach
International Research Journal of Environment Sciences E-ISSN 2319 1414 Flood hazard mapping in Urban Council limit, Vavuniya District, Sri Lanka- A GIS approach Abstract M.S.R. Akther* and G. Tharani
More informationW E E K L Y MONSOON INSIGHT
W E E K L Y MONSOON INSIGHT 08 th July 2016 Indian Monsoon Dynamics Recent Weather Development India received 35% surplus rainfall in the week ended 6 July with all regions recording above-normal rainfall
More informationChapter 1 Study Guide
Chapter 1 Study Guide Reminders: Vocabulary quiz and test will be on Tuesday, September 6th. Complete study guide and bring completed to school Friday, September 2nd. You are NOT required to print the
More informationAn objective criterion for the identification of breaks in Indian summer monsoon rainfall
ATMOSPHERIC SCIENCE LETTERS Atmos. Sci. Let. 16: 193 198 (2015) Published online 12 September 2014 in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/asl2.536 An objective criterion for the
More informationSeasonal Climate Outlook for South Asia (June to September) Issued in May 2014
Ministry of Earth Sciences Earth System Science Organization India Meteorological Department WMO Regional Climate Centre (Demonstration Phase) Pune, India Seasonal Climate Outlook for South Asia (June
More informationKUALA LUMPUR MONSOON ACTIVITY CENT
T KUALA LUMPUR MONSOON ACTIVITY CENT 2 ALAYSIAN METEOROLOGICAL http://www.met.gov.my DEPARTMENT MINISTRY OF SCIENCE. TECHNOLOGY AND INNOVATIO Introduction Atmospheric and oceanic conditions over the tropical
More informationNational Wildland Significant Fire Potential Outlook
National Wildland Significant Fire Potential Outlook National Interagency Fire Center Predictive Services Issued: September, 2007 Wildland Fire Outlook September through December 2007 Significant fire
More informationSUMMARY AND CONCLUSIONS
CHAPTER 8 SUMMARY AND CONCLUSIONS The outcome of the study on the influence of physiographic features, such as orography, longitude, altitude, forest cover, etc., on the latitude, rainfall pattern ot Kerala
More informationDevelopment of Pakistan s New Area Weighted Rainfall Using Thiessen Polygon Method
Pakistan Journal of Meteorology Vol. 9, Issue 17: July 2012 Technical Note Development of Pakistan s New Area Weighted Rainfall Using Thiessen Polygon Method Faisal, N. 1, 2, A. Gaffar 2 ABSTRACT In this
More informationDROUGHT ASSESSMENT USING SATELLITE DERIVED METEOROLOGICAL PARAMETERS AND NDVI IN POTOHAR REGION
DROUGHT ASSESSMENT USING SATELLITE DERIVED METEOROLOGICAL PARAMETERS AND NDVI IN POTOHAR REGION Researcher: Saad-ul-Haque Supervisor: Dr. Badar Ghauri Department of RS & GISc Institute of Space Technology
More informationINTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY
INTERNATIONAL JOURNAL OF PURE AND APPLIED RESEARCH IN ENGINEERING AND TECHNOLOGY A PATH FOR HORIZING YOUR INNOVATIVE WORK FITTING STATISTICAL DISTRUBTIONS FOR MAXIMUM DAILY RAINFALL AT GKVK STATION K.
More informationDrought Climatology of Illinois
BULLETIN 50 Drought Climatology of Illinois by F. A. HUFF and S. A. CHANGNON Jr. Printed by authority of the State of Illinois - Ch. 127, IRS, Par. 58.29 STATE OF ILLINOIS HON. OTTO KERNER, Governor DEPARTMENT
More informationColomboArts. Volume II Issue I Dynamic Trends of Intensity of Rainfall Extremes in Sri Lanka
ColomboArts Volume II Issue I 2017 Dynamic Trends of Intensity of Rainfall Extremes in Sri Lanka R.M.S.S.Sanjeewani, 1 Lasantha Manawadu 2 1 Department of Transport and Logistics Management, University
More informationAnalysis of Meteorological drought condition for Bijapur region in the lower Bhima basin, India
Analysis of Meteorological drought condition for Bijapur region in the lower Bhima basin, India Mamatha.K PG Student Department of WLM branch VTU, Belagavi Dr. Nagaraj Patil Professor and Head of the Department
More informationThai Meteorological Department, Ministry of Digital Economy and Society
Thai Meteorological Department, Ministry of Digital Economy and Society Three-month Climate Outlook For November 2017 January 2018 Issued on 31 October 2017 -----------------------------------------------------------------------------------------------------------------------------
More informationIllinois Drought Update, December 1, 2005 DROUGHT RESPONSE TASK FORCE Illinois State Water Survey, Department of Natural Resources
Illinois Drought Update, December 1, 2005 DROUGHT RESPONSE TASK FORCE Illinois State Water Survey, Department of Natural Resources For more drought information please go to http://www.sws.uiuc.edu/. SUMMARY.
More informationSouth Asian Climate Outlook Forum (SASCOF-12)
Twelfth Session of South Asian Climate Outlook Forum (SASCOF-12) Pune, India, 19-20 April 2018 Consensus Statement Summary Normal rainfall is most likely during the 2018 southwest monsoon season (June
More informationTo Predict Rain Fall in Desert Area of Rajasthan Using Data Mining Techniques
To Predict Rain Fall in Desert Area of Rajasthan Using Data Mining Techniques Peeyush Vyas Asst. Professor, CE/IT Department of Vadodara Institute of Engineering, Vadodara Abstract: Weather forecasting
More informationIMPACT OF CLIMATE CHANGE OVER THE ARABIAN PENINSULA
IMPACT OF CLIMATE CHANGE OVER THE ARABIAN PENINSULA By: Talal Alharbi June, 29 2017 1 Motivation: In arid and semi-arid regions of the world the demand for fresh water resources is increasing due to: increasing
More informationJournal of Pharmacognosy and Phytochemistry 2017; 6(4): Sujitha E and Shanmugasundaram K
2017; 6(4): 452-457 E-ISSN: 2278-4136 P-ISSN: 2349-8234 JPP 2017; 6(4): 452-457 Received: 01-05-2017 Accepted: 02-06-2017 Sujitha E Research Scholar, Department of Soil and Water Conservation Engineering,
More informationSOUTHERN CLIMATE MONITOR
SOUTHERN CLIMATE MONITOR MARCH 2011 VOLUME 1, ISSUE 3 IN THIS ISSUE: Page 2 to 4 Severe Thunderstorm Climatology in the SCIPP Region Page 4 Drought Update Page 5 Southern U.S. Precipitation Summary for
More informationSUPPLEMENTARY INFORMATION
SUPPLEMENTARY INFORMATION DOI: 1.138/NCLIMATE1327 Lack of uniform trends but increasing spatial variability in observed Indian rainfall extremes SI Guide Supplementary Information Title of the file: Supplementary
More informationBy: J Malherbe, R Kuschke
2015-10-27 By: J Malherbe, R Kuschke Contents Summary...2 Overview of expected conditions over South Africa during the next few days...3 Significant weather events (27 October 2 November)...3 Conditions
More informationMARKOV CHAIN MODEL FOR PROBABILITY OF DRY, WET DAYS AND STATISTICAL ANALISIS OF DAILY RAINFALL IN SOME CLIMATIC ZONE OF IRAN
30T r30t MARKOV CHAIN MODEL FOR PROBABILITY OF DRY, WET DAYS AND STATISTICAL ANALISIS OF DAILY RAINFALL IN SOME CLIMATIC ZONE OF IRAN N. SHAHRAKI 1, B. BAKHTIARI 2, M. M. AHMADI 2 ABSTRACT- Markov chain
More informationPage 1 of 5 Home research global climate enso effects Research Effects of El Niño on world weather Precipitation Temperature Tropical Cyclones El Niño affects the weather in large parts of the world. The
More informationICSE Board Class X Geography Board Paper- 2014
Time:2 hrs ICSE Board Class X Geography Board Paper- 2014 Total Marks: 80 General Instructions: 1. Answers to this paper must be written on the paper provided separately. 2. You will not be allowed to
More informationChapter- Three GEOMORPHOLOGY AND RAINFALL PATTERN
Chapter- Three GEOMORPHOLOGY AND RAINFALL PATTERN 3.1 INTRODUCTION Geomorphology and its slope as a basic and applied science in general and as tool for searching groundwater resources in efficient geomorphological
More informationMAP STUDY: INTERPRETATION OF SURVEY MAPS
MAP STUDY: INTERPRETATION OF SURVEY MAPS Types and Elements of Maps Maps are drawn to represent the Earth on a piece of paper. Maps are used widely to represent the Earth. Maps use signs and symbols in
More informationWorld geography 3200/3202 Unit 2 review
World geography 3200/3202 Unit 2 review 1. Does this statement use the terms revolve & rotate correctly? "Saturn revolves on its axis while several moons rotate around it." 2. Does this statement use the
More informationGeography Class XI Fundamentals of Physical Geography Section A Total Periods : 140 Total Marks : 70. Periods Topic Subject Matter Geographical Skills
Geography Class XI Fundamentals of Physical Geography Section A Total Periods : 140 Total Marks : 70 Sr. No. 01 Periods Topic Subject Matter Geographical Skills Nature and Scope Definition, nature, i)
More informationTemporal and Spatial Distribution of Tourism Climate Comfort in Isfahan Province
2011 2nd International Conference on Business, Economics and Tourism Management IPEDR vol.24 (2011) (2011) IACSIT Press, Singapore Temporal and Spatial Distribution of Tourism Climate Comfort in Isfahan
More informationWater Resource & Management Strategies
Water Resource & Management Strategies National Conference on Integrated Water Resource Management for enhancing Farmers' Income March 22, 2017, Hotel Park, New Delhi Nalin Rawal Chief Business head Agribusiness
More information2012 Growing Season Weather Summary for North Dakota. Adnan Akyüz and Barbara A. Mullins Department of Soil Science October 30, 2012
2012 Growing Season Weather Summary for North Dakota Adnan Akyüz and Barbara A. Mullins Department of Soil Science October 30, 2012 Introduction The 2012 growing season (the period from April through September)
More informationVARIATION OF RAINFALL WITH LATITUDE AND ALTITUDE
CHPTER 5 VRITION OF RINFLL WITH LTITUDE ND LTITUDE 5.1 GENERL Kerala is an elongated coastal State lies in the south-western part of India. It lies between latitudes 8 N and 13 N comprising approximately
More informationRainfall analysis for Indian monsoon region using the merged rain gauge observations and satellite estimates: Evaluation of monsoon rainfall features
Rainfall analysis for Indian monsoon region using the merged rain gauge observations and satellite estimates: Evaluation of monsoon rainfall features SKRoyBhowmikand Ananda K Das India Meteorological Department,
More informationSouth, Southeast, and East Asia. Physical Geography
South, Southeast, and East Asia Physical Geography Mountains v Mountains are important in Asia because they influence: A. Population patterns B. Movement of people and goods C. Climate Mountains v The
More informationChapter 2 Variability and Long-Term Changes in Surface Air Temperatures Over the Indian Subcontinent
Chapter 2 Variability and Long-Term Changes in Surface Air Temperatures Over the Indian Subcontinent A.K. Srivastava, D.R. Kothawale and M.N. Rajeevan 1 Introduction Surface air temperature is one of the
More informationTemporal and Spatial Analysis of Drought over a Tropical Wet Station of India in the Recent Decades Using the SPI Method
Temporal and Spatial Analysis of Drought over a Tropical Wet Station of India in the Recent Decades Using the SPI Method Keerthi Sasikumar 1 and Dr. Venu G.Nair 2 1 Department of Atmospheric Sciences,
More informationUNIT 11 SOUTH ASIA SG 1 - PHYSICAL GEOGRAPHY & THE ENVIRONMENT
UNIT 11 SOUTH ASIA SG 1 - PHYSICAL GEOGRAPHY & THE ENVIRONMENT I. PHYSICAL GEOGRAPHY TAKE OUT YOUR PHYSICAL MAP OF SOUTH ASIA A. The Himalayan Mountains form the northern boundary of the region (color
More informationINTERNATIONAL AND NATIONAL JOURNAL PAPERS
INTERNATIONAL AND NATIONAL JOURNAL PAPERS 1. Groundwater geochemistry and identification of hydrogeochemical processes in a hard rock region, Southern India by T.Subramani, L.Elango and N.Rajmohan; International
More informationPost Independence Trends of Urbanization and Role of Small and Medium Towns in Maharashtra- A Geographical Analysis
Post Independence Trends of Urbanization and Role of Small and Medium Towns in Maharashtra- A Geographical Analysis A careful and systematic study of the process of urbanization and related factors is
More informationFLOODS IN SOUTHWESTERN SRI LANKA IN MAY 2017
FLOODS IN SOUTHWESTERN SRI LANKA IN MAY 2017 Foundation for Environment, Climate and Technology C/o Mahaweli Authority of Sri Lanka, Digana Village, Rajawella, Kandy, KY 20180, Sri Lanka Citation Lokuhetti,
More informationAnalytical Report. Drought in Sri Lanka January2017 ERCC Analytical Team and JRC Drought Team 26 January Map
1. Map 2. Situation analysis Sri Lanka 1 is currently experiencing a severe drought. This drought situation has been caused by a severe lack of rainfall during the last second Inter-monsoon season (IM2)
More informationA High Resolution Daily Gridded Rainfall Data Set ( ) for Mesoscale Meteorological Studies
National Climate Centre Research Report No: 9/2008 A High Resolution Daily Gridded Rainfall Data Set (1971-2005) for Mesoscale Meteorological Studies M. Rajeevan and Jyoti Bhate National Climate Centre
More informationClimate Classification
Chapter 15: World Climates The Atmosphere: An Introduction to Meteorology, 12 th Lutgens Tarbuck Lectures by: Heather Gallacher, Cleveland State University Climate Classification Köppen classification:
More information