基于SWAT模型的巴基斯坦信德省Kotri流域土地利用、土地覆盖和气候变率的水文响应及产沙量模拟

Rabia Chhachhar, Dr.Habibullah Abbasi
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摘要

由于土地利用、土地覆盖变化和气候变率的显著影响,对水资源的关注日益增加。就发展中国家而言,这是目前和未来需要克服和管理可持续性的最大挑战之一。本研究旨在评估Kotri拦河坝大尺度流域因LULC变化导致流量变化的水文成分变化及产沙产水量模拟。本研究利用高分辨率地理空间和时间输入的土壤和水评估工具(SWAT),在Kotri流域和子流域水平上进行了准确的估算和模拟,通过寻找水文成分对其自然和人为因素的响应。利用42年模拟(1990-2022年)对子流域的产沙量和产水量进行了量化,预测了1990年、2000年、2010年和2022年的土地利用潜力。森林砍伐、农业和定居地区的增加导致了流域泥沙负荷的增加。高海拔、高坡度、植被较少的14、11、12、13子流域的输沙量和产水量均高于坡度平缓、自然植被覆盖度高的子流域。与流域2、3、5、6、7、8、9相比,子流域10、4、1表现出较高的产水量有效性。这可能是植被差异的结果。但含沙量小于流域14、11、12和13。主要目的是量化影响集水区和次集水区的重大变化,以便更好地了解有关土地利用资源的管理计划。利用机器算法(ARIMA)模型进行降水预测,利用SARIMAX模型预测流域至2060年的产沙量和产水量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hydrological Response to Land Use Land Cover and Climate Variability, and Simulation of Sediment Export and Water Yield in the Catchment Kotri Sindh Pakistan Using SWAT Model
The water availability concerns have been increasing due to having significant impacts of Land use land cover change and climate variability. In terms of developing countries, it is one of the biggest challenges to overcome and manage sustainability in the present and future. This study aims to evaluate the change in hydrological components and simulation of sediment yield and water yield on the large-scale basin of Kotri barrage with a change in streamflow due to a change in LULC. This study has been done on the watershed as well as the sub-watershed level to have an accurate estimation and simulation by finding the response of hydrological components towards its natural and human-induced factors using the Soil and Water Assessment tool (SWAT) with high-resolution geospatial and temporal inputs over the Kotri catchment. The sediment and water yield were quantified using 42 years of simulation (1990-2022) on the sub-basin level, projected to LuLc 1990, 2000, 2010, and 2022. The increase in deforestation, agriculture, and settlement areas resulted increase in sediment load in the catchment. The sub-basins 14, 11, 12, and 13, with a high elevation and slope and with less vegetation showed higher sediment load and water yield than the sub-basins with gentle slope and with high natural vegetation cover. The sub-basins 10, 4, and 1 showed high water yield availability compared to basins 2,3,5,6,7,8,9. This may be the result of vegetation differences. However, contained less sediment load than basins 14, 11, 12, and 13. The main objective was to quantify the significant changes affecting catchment and sub-catchment areas, to have a better understanding of the management plan regarding LULC. The simulated data was further projected to prediction using machine algorithms (ARIMA) model for precipitation prediction, and (SARIMAX) model to predict the sediment yield and water yield in the catchment to 2060.
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