干旱区生态环境知识资源中心(Arid): Assimilation of Satellite-Based Data for Hydrological Mapping of Precipitation and Direct Runoff Coefficient for the Lake Urmia Basin in Iran

Arid

DOI	10.3390/w11081624
	Assimilation of Satellite-Based Data for Hydrological Mapping of Precipitation and Direct Runoff Coefficient for the Lake Urmia Basin in Iran
	Akbari, Mahdi 1; Haghighi, Ali Torabi 1; Aghayi, Mohammad Mahdi 2; Javadian, Mostafa 3; Tajrishy, Masoud 2; Klove, Bjorn 1
通讯作者	Akbari, Mahdi
来源期刊	WATER
EISSN	2073-4441
出版年	2019
卷号	11 期号:8
英文摘要	Water management in arid basins often lacks sufficient hydro-climatological data because, e.g., rain gauges are typically absent at high elevations and inflow to ungauged areas around large closed lakes is difficult to estimate. We sought to improve precipitation and runoff estimation in an arid basin (Lake Urmia, Iran) using methods involving assimilation of satellite-based data. We estimated precipitation using interpolation of rain gauge data by kriging, downscaling the Tropical Rainfall Measuring Mission (TRMM), and cokriging interpolation of in-situ records with Remote Sensing (RS)-based data. Using RS-based data application in estimations gave more precise results, by compensating for lack of data at high elevations. Cokriging interpolation of rain gauges by TRMM and Digitized Elevation Model (DEM) gave 4-9 mm lower Root Mean Square Error (RMSE) in different years compared with kriging. Downscaling TRMM improved its accuracy by 14 mm. Using the most accurate precipitation result, we modeled annual direct runoff with Kennessey and Soil Conservation Service Curve Number (SCS-CN) models. These models use land use, permeability, and slope data. In runoff modeling, Kennessey gave higher accuracy. Calibrating Kennessey reduced the Normalized RMSE (NRMSE) from 1 in the standard model to 0.44. Direct runoff coefficient map by 1 km spatial resolution was generated by calibrated Kennessey. Validation by the closest gauges to the lake gave a NRMSE of 0.41 which approved the accuracy of modeling.
英文关键词	hydrological modeling downscaling TRMM direct runoff coefficient water scarcity lakes Urmia desiccation land use ungauged basin SCS-CN Kennessey
类型	Article
语种	英语
国家	Finland ; Iran ; USA
开放获取类型	Green Published, gold
收录类别	SCI-E
WOS记录号	WOS:000484561500098
WOS关键词	SCS-CN ; ANALYSIS TMPA ; LAND-USE ; PRODUCTS ; MODELS ; AREA
WOS类目	Environmental Sciences ; Water Resources
WOS研究方向	Environmental Sciences & Ecology ; Water Resources
来源机构	University of Arizona
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/219236
作者单位	1.Univ Oulu, Water Energy & Environm Engn Res Unit, POB 4300, FIN-90014 Oulu, Finland; 2.Sharif Univ Technol, Dept Civil Engn, Tehran 111559313, Iran; 3.Univ Arizona, Dept Hydrol & Atmospher Sci, POB 210011, Tucson, AZ 85721 USA
推荐引用方式 GB/T 7714	Akbari, Mahdi,Haghighi, Ali Torabi,Aghayi, Mohammad Mahdi,et al. Assimilation of Satellite-Based Data for Hydrological Mapping of Precipitation and Direct Runoff Coefficient for the Lake Urmia Basin in Iran[J]. University of Arizona,2019,11(8).
APA	Akbari, Mahdi,Haghighi, Ali Torabi,Aghayi, Mohammad Mahdi,Javadian, Mostafa,Tajrishy, Masoud,&Klove, Bjorn.(2019).Assimilation of Satellite-Based Data for Hydrological Mapping of Precipitation and Direct Runoff Coefficient for the Lake Urmia Basin in Iran.WATER,11(8).
MLA	Akbari, Mahdi,et al."Assimilation of Satellite-Based Data for Hydrological Mapping of Precipitation and Direct Runoff Coefficient for the Lake Urmia Basin in Iran".WATER 11.8(2019).