
Remote Sensing, Journal Year: 2024, Volume and Issue: 16(22), P. 4132 - 4132
Published: Nov. 6, 2024
In hydrological modeling, the accuracy of precipitation data and reflection model’s physical mechanisms are crucial for accurately describing processes. Identifying reliable sources exploring reasonable evolution hydrology water resources research in high-altitude mountainous regions with sparse stations limited constitute a significant challenge focus field hydrology. This study focuses on Yarkant River Basin Xinjiang, which originates from glaciers contains substantial amount meltwater runoff. A dynamic glacier melt module considering synergistic effects multiple meteorological factors was developed integrated into original Soil Water Assessment Tool (SWAT) model. Four datasets (ERA5-land, MSWEP, CMA V2.0, CHM-PRE) were selected to train model, including remote sensing products station-interpolated data. The applicability improved SWAT model source region evaluated analyzed using statistical indicators, characteristic values, watershed runoff simulation effectiveness. optimal dataset further used analyze characteristics basin. results revealed following: (1) fills gap respect more closely aligning actual variation patterns area, better process. (2) V2.0 has best area. is specifically reflected rationality spatial temporal distribution inverted precipitation, observed capturing events characteristics, goodness fit driving models, precision reflecting composition runoff, all superior those pertaining other products. (3) calculated informed by shows that during period, basin formed pattern positive–negative balance demarcation at 36.5° N, featuring melting higher latitudes accumulation lower latitudes. this importance hydrometeorological applications region.
Language: Английский