Impact of Climate Change on Hydrological Regime in Sabari sub-Basin, Godavari River System, India

J. V S, T. J V, SATYAJI RAO Y R, V. R
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Abstract

Climate change is an issue of great concern to a developing country like India. India needs to be much more concerned since its vast population largely depends on climate sensitive sectors like hydrology, agriculture, forestry and fishery for livelihood. In these circumstances a study has been carried to find out the impacts of climate change in Sabari sub-basin which involves rainfall-runoff modeling using PRECIS model data. The daily rainfall-runoff modeling was carried out using ARNO model for a period of 39 years (1970 to 2008). Out of 39 years calibration and validation was carried out for a period of 30 years (1970 to 1999) and 9 years (2000 to 2008) respectively. The Regional Climate Model (RCM) data supplied by PRECIS model which have a grid cell size of 50 km X 50 km and contains three different scenario periods i.) Base line period (1961 to 1990) ii.) Mid Century Period (2021 to 2050) and iii) End century period (2071 to 2098). The observed IMD and predicted RCM downscaled data for the base line period (1960-1990) has been compared and found that there is a huge variation in both the temperature and rainfall measurements. Analysis of RCM data reveals that the temperature is alarmingly increasing during the Mid Century and End Century periods. The futuristic hydrological scenarios have been arrived by incorporating the downscaled RCM data with the calibrated ARNO model. From the analysis it is opined that climate change may pose frequent high peak floods that occurs in a short period of time may alter the landuse/lancover conditions and agricultural patterns in the study area.
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气候变化对印度戈达瓦里河水系萨巴里子流域水文状况的影响
气候变化是印度这样的发展中国家非常关注的问题。印度需要更加关注,因为其庞大的人口在很大程度上依赖于水文、农业、林业和渔业等气候敏感部门的生计。在这种情况下,已经开展了一项研究,以找出气候变化对萨巴里子流域的影响,该研究涉及使用PRECIS模型数据进行降雨径流模拟。采用ARNO模型进行了39 a(1970 ~ 2008)的日降雨径流模拟。在39年中,分别进行了30年(1970 - 1999年)和9年(2000 - 2008年)的校准和验证。PRECIS模式提供的区域气候模式(RCM)数据,网格单元尺寸为50 km X 50 km,包含三个不同的情景期。基线期(1961年至1990年)本世纪中期(2021年至2050年)和世纪末(2071年至2098年)。对基线期间(1960-1990年)观测到的IMD和预测的RCM缩减数据进行了比较,发现温度和降雨量测量值都存在巨大变化。对RCM数据的分析表明,在本世纪中叶和世纪末期间,气温正在惊人地上升。通过将缩小的RCM数据与校准的ARNO模型相结合,得出了未来的水文情景。分析认为,气候变化可能导致研究区在短时间内频繁发生的高峰洪水,可能改变研究区的土地利用/覆盖条件和农业模式。
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