SWAT BASED ASSESSMENT AND PREDICTION OF CLIMATE CHANGE AND ITS IMPACT IN THENPENNAI SUB-BASIN OF SOUTH INDIA

Climate change impacts on watershed ecosystems and hydrologic processes are complex. The key significant parameters responsible for balancing the watershed ecosystems are temperature and rainfall. Though these parameters are uncertain, they play a prime role in the projections of dimensional climate...

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Main Authors: K. Nivedita Priyadarshini, S. A. Rahaman, S. Nithesh Nirmal, R. Jegankumar, P. Masilamani
Format: Article
Language:English
Published: Copernicus Publications 2018-11-01
Series:The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-5/557/2018/isprs-archives-XLII-5-557-2018.pdf
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author K. Nivedita Priyadarshini
S. A. Rahaman
S. Nithesh Nirmal
R. Jegankumar
P. Masilamani
author_facet K. Nivedita Priyadarshini
S. A. Rahaman
S. Nithesh Nirmal
R. Jegankumar
P. Masilamani
author_sort K. Nivedita Priyadarshini
collection DOAJ
description Climate change impacts on watershed ecosystems and hydrologic processes are complex. The key significant parameters responsible for balancing the watershed ecosystems are temperature and rainfall. Though these parameters are uncertain, they play a prime role in the projections of dimensional climate change studies. The impact of climate change is more dependent on temperature and precipitation which contributes at a larger magnitude for characterising global warming issues. This paper aims to forecast the variations of temperature and precipitation during the period of 2020–2050 for the northern part of Thenpennar sub basin. This study is modelled using SWAT (Soil and Water Assessment Tool) – a scale model developed to predict the impact of changes that occurs in land, soil and water over a period of time. This study is validated using the base period from 1980–2000 which shows the distribution of rainfall and temperature among 38 watersheds. The results from this study show that there is a decrease in the rainfall for a maximum of about 20% in the month of December during the predicted period of 2020 and 2050. This study assesses the possible adverse impact of climate change on temperature and precipitation of Thenpennai sub-basin. This kind of predictions will help the government agencies, rulers and decision makers in policy making and implementing the adaptation strategies for the changing climatic conditions.
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spelling doaj.art-a85e5a95f12e4432ad1d1602e7f01e442022-12-21T19:40:30ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342018-11-01XLII-555756210.5194/isprs-archives-XLII-5-557-2018SWAT BASED ASSESSMENT AND PREDICTION OF CLIMATE CHANGE AND ITS IMPACT IN THENPENNAI SUB-BASIN OF SOUTH INDIAK. Nivedita Priyadarshini0S. A. Rahaman1S. Nithesh Nirmal2R. Jegankumar3P. Masilamani4Geoinformatics, Dept. of Geography, Bharathidasan University, Tiruchirappalli, Tamil Nadu, IndiaGeoinformatics, Dept. of Geography, Bharathidasan University, Tiruchirappalli, Tamil Nadu, IndiaGeoinformatics, Dept. of Geography, Bharathidasan University, Tiruchirappalli, Tamil Nadu, IndiaGeoinformatics, Dept. of Geography, Bharathidasan University, Tiruchirappalli, Tamil Nadu, IndiaGeoinformatics, Dept. of Geography, Bharathidasan University, Tiruchirappalli, Tamil Nadu, IndiaClimate change impacts on watershed ecosystems and hydrologic processes are complex. The key significant parameters responsible for balancing the watershed ecosystems are temperature and rainfall. Though these parameters are uncertain, they play a prime role in the projections of dimensional climate change studies. The impact of climate change is more dependent on temperature and precipitation which contributes at a larger magnitude for characterising global warming issues. This paper aims to forecast the variations of temperature and precipitation during the period of 2020–2050 for the northern part of Thenpennar sub basin. This study is modelled using SWAT (Soil and Water Assessment Tool) – a scale model developed to predict the impact of changes that occurs in land, soil and water over a period of time. This study is validated using the base period from 1980–2000 which shows the distribution of rainfall and temperature among 38 watersheds. The results from this study show that there is a decrease in the rainfall for a maximum of about 20% in the month of December during the predicted period of 2020 and 2050. This study assesses the possible adverse impact of climate change on temperature and precipitation of Thenpennai sub-basin. This kind of predictions will help the government agencies, rulers and decision makers in policy making and implementing the adaptation strategies for the changing climatic conditions.https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-5/557/2018/isprs-archives-XLII-5-557-2018.pdf
spellingShingle K. Nivedita Priyadarshini
S. A. Rahaman
S. Nithesh Nirmal
R. Jegankumar
P. Masilamani
SWAT BASED ASSESSMENT AND PREDICTION OF CLIMATE CHANGE AND ITS IMPACT IN THENPENNAI SUB-BASIN OF SOUTH INDIA
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title SWAT BASED ASSESSMENT AND PREDICTION OF CLIMATE CHANGE AND ITS IMPACT IN THENPENNAI SUB-BASIN OF SOUTH INDIA
title_full SWAT BASED ASSESSMENT AND PREDICTION OF CLIMATE CHANGE AND ITS IMPACT IN THENPENNAI SUB-BASIN OF SOUTH INDIA
title_fullStr SWAT BASED ASSESSMENT AND PREDICTION OF CLIMATE CHANGE AND ITS IMPACT IN THENPENNAI SUB-BASIN OF SOUTH INDIA
title_full_unstemmed SWAT BASED ASSESSMENT AND PREDICTION OF CLIMATE CHANGE AND ITS IMPACT IN THENPENNAI SUB-BASIN OF SOUTH INDIA
title_short SWAT BASED ASSESSMENT AND PREDICTION OF CLIMATE CHANGE AND ITS IMPACT IN THENPENNAI SUB-BASIN OF SOUTH INDIA
title_sort swat based assessment and prediction of climate change and its impact in thenpennai sub basin of south india
url https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-5/557/2018/isprs-archives-XLII-5-557-2018.pdf
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