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Regionalisation of Runoff Coefficient in Hamedan Province Using Geostatistical Methods and GIS

机译:基于地统计方法和GIS的哈密丹省径流系数分区

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In this research, using geographic information system (GIS) and different geostatistical methods including the kriging and co-kriging (ordinary, simple and universal) as well as the radial basis functions, the spatial distributions of runoff coefficient were evaluated in Hamedan province. To this end, the annual runoff were calculated in 18 existing hydrometery stations and another 11 auxiliary points, using digital elevation model (DEM) and 11 years available data of the stations. The performance criteria for evaluating the methods were mean absolute error (MAE), mean bias error (MBE), root mean square error (RMSE), and general standard deviation (GSD) along with the cross validation examination. A high regression between the runoff coefficient and watershed average slope was selected as auxiliary variable. The results showed that the runoff coefficient of the region changes between 3.5 and 85%. The findings also indicated that the universal co-krigings with spherical semi-variogram model had better performance with the values of MBE (-0.0014), MAE (0.036), RMSE (0.054) and GSD (20.152). The universal and simple kriging with spherical model were equal in runoff estimation of the region and were ranked as the second methods to this propose. Keywords: Runoff Coefficient, Interpolation, Geostatistics, Kriging, Co-kriging, Radial basis functions Full-Text Type of Study: Research | Subject: Ggeneral Received: 2010/06/16 Related Websites Scientific Publications Commission - Health Ministry Scientific Publications Commission - Science Ministry Yektaweb Company Site Keywords ?????, Academic Journal, Scientific Article, ???? ????? ??, ???? ????? ??, ???? ????? ??, ???? ????? ??, ???? ????? ??, ???? ????? ??, ???? ?? Vote ? 2015 All Rights Reserved | JWSS - Isfahan University of Technology
机译:在这项研究中,利用地理信息系统(GIS)和不同的地统计方法,包括克里金法和共同克里金法(普通,简单和通用)以及径向基函数,对哈密丹省的径流系数的空间分布进行了评估。为此,使用数字高程模型(DEM)和该站的11年可用数据,计算了18个现有水文站和11个辅助点的年径流量。评估方法的性能标准是平均绝对误差(MAE),平均偏差误差(MBE),均方根误差(RMSE)和一般标准偏差(GSD)以及交叉验证检验。径流系数与分水岭平均坡度之间的高回归被选作辅助变量。结果表明,该地区的径流系数在3.5%和85%之间变化。研究结果还表明,具有球形半变异函数模型的通用共克里格模型具有更好的性能,其中MBE(-0.0014),MAE(0.036),RMSE(0.054)和GSD(20.152)的值更高。球形模型的通用克里金法和简单克里金法在该地区的径流估计中是相等的,被列为该建议的第二种方法。关键字:径流系数,插值,地统计,Kriging,Co-kriging,径向基函数主题:一般收稿日期:2010/06/16相关网站科学出版物委员会-卫生部科学出版物委员会-科学部Yektaweb公司网站关键字??????,Academic Journal,Scientific Article,???? ?????? ??,???? ?????? ??,???? ?????? ??,???? ?????? ??,???? ?????? ??,???? ?????? ??,???? ??投票吗? 2015版权所有| JWSS-伊斯法罕工业大学

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