Assessment and Application of Multi-Source Precipitation Products in Cold Regions Based on the Improved SWAT Model DOI Creative Commons
Zhengkai Tang, Yi Wang, Wen Chen

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(22), С. 4132 - 4132

Опубликована: Ноя. 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.

Язык: Английский

The Only Path to Address Climate Change and Intensifying Drought: Global Interdisciplinary Cooperation DOI Creative Commons
Yang Yu, Cun Chang

Atmosphere, Год журнала: 2025, Номер 16(4), С. 388 - 388

Опубликована: Март 28, 2025

Climate change is having an accelerating impact on the Earth’s arid and semi-arid regions, which are home to over two billion people [...]

Язык: Английский

Процитировано

0
Impact of Arable Land Abandonment on Crop Production Losses in Ukraine During the Armed Conflict DOI Creative Commons
Kaixuan Dai, Changxiu Cheng, Siyi Kan

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(22), С. 4207 - 4207

Опубликована: Ноя. 12, 2024

The outbreak of Russia-Ukraine conflict casted an impact on the global food market, which was believed to be attributed that Ukraine has suffered significant production losses due cropland abandonment. Nevertheless, recent outbreaks farmer protests against Ukraine’s grain exports demonstrated might not as severe previous estimates. By utilizing adaptive threshold segmentation method extract abandoned from Sentinel-2 high-resolution imagery and calibrating spatial allocation model’s gridded crop data statistical data, this study explicitly evaluated crop-specific heterogeneity. results estimated area in ranges 2.34 2.40 million hectares, constituting 7.14% 7.30% total cropland. In Ukrainian-controlled zones, spans 1.44 1.48 whereas Russian-occupied areas, it varies 0.90 0.92 hectares. Additionally, for wheat, maize, barley, sunflower amount 1.92, 1.67, 0.70, 0.99 tons, respectively, with corresponding loss ratios 9.10%, 7.48%, 9.54%, 8.67%. Furthermore, emerged both eastern southern states adjacent frontlines, while maize were concentrated western states. findings imply ought streamline transportation channels maintain stable agricultural activities regions high production.

Язык: Английский

Процитировано

2
Assessment and Application of Multi-Source Precipitation Products in Cold Regions Based on the Improved SWAT Model DOI Creative Commons
Zhengkai Tang, Yi Wang, Wen Chen

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(22), С. 4132 - 4132

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

1