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Spatio-temporal analysis and estimation of rainfall variability in and around upper Godavari River basin, India

机译:印度上戈达瓦里河流域及其周围地区降雨变异的时空分析及估算

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Spatio-temporal analysis and estimation of rainfall variability is an important factor to characterize the hydrological manifestation for precise water management. Fifteen years' daily rainfall data (2000-2014) of 39 rain gauge stations (RGS), situated in and around upper Godavari basin (UGB), was analyzed using statistical computations. Mean annual rainfall (MAR) and mean half-decadal rainfall, along with standard deviation (SD), coefficient of variation (CV), standardized anomaly (SA), mean absolute deviation (MAD), and spatial distribution of rainfall (SDR), were computed to delineate the orographic effect, if any, over rainfall. Box and whisker diagrams display rainfall distribution. The analyzed data was incorporated in Geographical Information System (GIS) software, and spatial estimation of half-decadal rainfall, SA, and SDR carried out using inverse distance weighting (IDW) interpolation method. RGS mean rainfall of 2000-2004, 2005-2009, and 2010-2014 were correlated with satellite-derived Tropical Rainfall Measuring Mission (TRMM) data using Pearson correlation coefficient (R) to confirm the accuracy and validity of both the data. Statistical results and spatial estimation of rainfall indicate high spatio-temporal variability during 2010-2014 and lower during 2005-2009. Monsoon intensity revealed increasing trend from 2000 to 2006, which was seen to be decreasing later, with rise and fall from 2006 to 2014. The rainfall was seen to increase towards west due to an obstruction posed by the Western Ghat to the east flowing monsoon wind. Strong positive correlation was found between TRMM and 3 half-decade rainfall data. The approach adopted in this paper identified the micro level rainfall variability which will be greatly advantageous for sustainable water resource management.
机译:几种时间分析和降雨变异性估算是表征精确水管理的水文表现的重要因素。使用统计计算分析了150岁的雨量盆地(RGS)的每日降雨数据(2000-2014),位于上游和上游(UGB),坐落在上游廊口(UGB)。平均年降雨量(MAR)和平均半截止降雨,以及标准偏差(SD),变异系数(CV),标准化异常(SA),平均偏差(MAD),降雨量(SDR),被计算为描绘过降雨的情况,描绘了地理效果。框和晶须图显示降雨分布。分析的数据纳入地理信息系统(GIS)软件,以及使用逆距离加权(IDW)插值方法进行的半截止降雨,SA和SDR的空间估计。 RGS平均降雨量为2000-2004,2005-2009和2010-2014与使用Pearson相关系数(R)的卫星衍生的热带降雨测量使命(TRMM)数据相关,以确认数据的准确性和有效性。降雨的统计结果和空间估计表明2010 - 2014年期间的高时空变异,2005-2009期间较低。季风强度揭示了2000年至2006年增加的趋势,后来被认为是从2006年到2014年的上升和下降。由于西普尔的障碍到东方流动的季风风而被阻塞,降雨量随着障碍而导致的降雨量增加。在TRMM和3个半年的降雨数据之间发现了强烈的正相关。本文采用的方法确定了对可持续水资源管理大大有利的微水平降雨变化。

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