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Assessment of Reservoir Sedimentation in Arid RegionWatershed of Gujarat

机译:古吉拉特邦干旱地区流域水库泥沙淤积评估

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The study aimed at sedimentation assessment in a reservoir, for the first time, in an arid region watershed located in Kukma village ofKachchh, Gujarat by performing aerial topographical survey. The topographical database was subjected to SURFER software to generate grid, contour map and three-dimensional digital model of the reservoir by interpolating reduced levels spatially using kriging technique. Storage volumes were computedfor entire depth of the reservoir at 10 mm intervals using trapezoidalformula. The storage volume data were utilized to develop depth-capacity curve, which was fitted with logarithmic, power, and exponential empirical regression models; and the best-fit model was selected by applying correlation coefficient (R), coefficient of determination (R2), root mean square (RMSE), modified Nash-Sutcliffe efficiency (MNSE) and modified index of agreement (MIA) goodness-of-fit criterion. Contour map of the reservoir revealed the maximum depth of 2.85 m corresponding to full storage capacity of24879 m3. The three-dimensional view closely matched with the real outlook, which confirmed accuracy of the survey and data analysis. The depth-capacity curve was utilized to determine rainwater storage during years 2012 and 2013 as 925 and 24879 m3, respectively, in response to 79.1 and 291.9 mm of rainfall, respectively. This finding suggested that reduction in monsoon rainfall caused significant reduction in the rainwater storage. The power regression model was considered as the best-fit inthis study due to the lowest RMSE (293 m3), and highest R (0.98) andR2 (0.93) values. The values of MNSE (0.60) and MIA (0.83) further supported the selection of the best-fit model. It was revealed that capacity of the reservoir reduced by 4305.5 m3 (14.75%) over a period of 12 years due to sedimentation at average annual rate of358.8 m3. Finally, it is emphasized that there is needfor planning and implementation of appropriate soil conservation measures within the reservoir catchment.
机译:该研究的目的是通过进行航空地形测量,首次评估古吉拉特邦卡奇赫库马村一个干旱地区流域的水库中的沉积物。使用SURFER软件对地形数据库进行处理,以使用克里金法在空间上对降低的水平进行插值,从而生成储层的网格,等高线图和三维数字模型。使用梯形公式以10 mm的间隔计算储层整个深度的存储量。利用存储量数据来开发深度-容量曲线,该曲线与对数,幂和指数经验回归模型拟合;并通过应用相关系数(R),测定系数(R2),均方根(RMSE),修正的纳什-舒克利夫效率(MNSE)和修正的协议指数(MIA)来选择最佳拟合模型。适合标准。该水库的等高线图显示最大深度为2.85 m,对应于24879 m3的全部存储容量。三维视图与真实外观非常吻合,这证实了调查和数据分析的准确性。利用深度-容量曲线确定2012年和2013年的雨水储存量分别为925和24879立方米,分别响应79.1和291.9毫米的降雨。这一发现表明,季风降雨的减少导致雨水存储量的显着减少。由于最低RMSE(293 m3),最高R(0.98)和R2(0.93)值,因此幂回归模型被认为是本研究的最佳拟合。 MNSE(0.60)和MIA(0.83)的值进一步支持了最佳拟合模型的选择。结果表明,由于沉积,该水库的容量在12年期间减少了4305.5 m3(14.75%),年均增长率为358.8 m3。最后,要强调的是,需要在水库集水区内规划和实施适当的土壤保持措施。

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