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Cite this article:陈世雪,玉素甫江•如素力.基于SWAT模型CMADS数据集在开都河上游的精度及适用性评估[J].灌溉排水学报,2022,(12):-.
CHEN ShiXue,YUSUFUJIANG Rusuli.基于SWAT模型CMADS数据集在开都河上游的精度及适用性评估[J].灌溉排水学报,2022,(12):-.
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DOI:
AccuracyandApplicabilityAssessmentofCMADS Dataset Based on the SWAT Model intheUpperReaches of KaiduRiver
CHEN ShiXue, YUSUFUJIANG Rusuli
College of geography and tourism,Xinjiang Normal University
Abstract:
Reanalysis data provides new data sources for researches of eco-environmental evolution, hydrology and water resources in data-poor areas. In this paper, we quantitatively assess the multi-timescale accuracy of the CMADS dataset and its applicability in the SWAT model using the upper Kaidu River as an example research area, and evaluate the accuracy from two perspectives: firstly, we assess the performance of the CMADS dataset in terms of precipitation, maximum and minimum temperatures in the upper Kaidu River; secondly, we compare the simulation accuracy of the SWAT model using the CMADS dataset and ground-observed meteorological data driven separately. To explore the substitutability of reanalyzed meteorological data in areas with complex topography where data are lacking. The results show that :(1) the CMADS dataset performs well in temperature detection, with correlations above 0.9; the daily precipitation detection performs poorly, with a correlation of 0.59, and the monthly-scale precipitation correlation is significantly higher (CC=0.84); (2) both the CMADS dataset and the ground observation data achieve satisfactory results in the simulation of runoff in the upper Kaidu River, indicating that (2) Both the CMADS dataset and the ground observation data achieved satisfactory results in the runoff simulation of the upper Kaidu River, indicating that the SWAT model is well applicable in the upper Kaidu River. (3) The CMADS data overestimated the base flow, underestimated the higher peak and overestimated the lower peak during the rate period, and underestimated the peak and slightly overestimated the base flow during the validation period, while the CMADS data runoff simulation was not accurate in some cases, but generally conformed to the actual runoff variation. It shows that this dataset can provide alternative data for runoff simulation in alpine mountains where meteorological data are lacking.
Key words:  CMADS; SWAT; Simulation?of?runoff; Accuracy evaluation;Kaidu?River