马尤拉克希河流域的综合水文模型和水资源评估:从历史数据到未来预测的综合研究

Swetasree Nag , Malabika Biswas Roy , Pankaj Kumar Roy
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引用次数: 0

摘要

本研究采用 SWAT 水文模型,整合气候和水文过程,对马尤拉克希河流域进行深入分析。利用马尔可夫链模型,该研究评估了水的可用性、流量模式以及流域对各种气候和土地利用方案的响应。研究人员对 30 多年来的每日观测河流排放数据进行了严格的校准、验证和不确定性分析,并利用马桑乔尔大坝和蒂尔帕拉拦河坝测量站的关键数据来描述河流的水文行为。结果表明,该流域的年平均降水量为 1432.4 毫米,蒸发蒸腾作用占总失水量的 40%(578.4 毫米)。地表径流占总排水量的 90%以上,突出了地表径流对农业生产的重要性,尤其是在旱季。然而,对未来(2021-2031 年)的预测表明,年平均降水量将大幅减少(1404.7 毫米),蒸散量将下降(542.1 毫米,占平均降水量的 38%),原因是植被覆盖减少和沉降增加,导致地表径流增加。通过量化内部可再生蓝水、蒸散量和土壤水,这项研究为长期水资源规划和评估提供了重要数据。研究结果对国家、地区和跨境水资源管理机构都很有价值,为在不断变化的气候和不同的土地利用条件下进行可持续水资源管理提供了见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Integrated hydrological modeling and water resource assessment in the Mayurakshi River Basin: A comprehensive study from historical data to future predictions

Integrated hydrological modeling and water resource assessment in the Mayurakshi River Basin: A comprehensive study from historical data to future predictions
This study employs the SWAT hydrologic model to integrate climatological and hydrological processes for an in-depth analysis of the Mayurakshi River Basin. Utilizing the Markov chain model, the study evaluates water availability, flow patterns, and the basin's response to various climatic and land-use scenarios. Over 30 years of daily observed river discharge data were rigorously calibrated, validated, and analyzed for uncertainty, with critical data from the Massanjore Dam and Tilpara Barrage gauge stations characterizing the river's hydrological behavior. The result suggests the watershed received an average annual precipitation of 1432.4 mm, with evapotranspiration accounting for 40% of total water loss (578.4 mm). Surface runoff constituted over 90% of the total discharge, highlighting its importance for agricultural practices, particularly during the dry season. However future projections (2021–2031) indicate a significant decrease in mean annual precipitation (1404.7 mm) and a drop in evapotranspiration (542.1 mm or 38% of mean precipitation), attributed to reduced vegetation cover and increased settlement, leading to enhanced surface runoff. By quantifying internal renewable blue water, evapotranspiration, and soil water, this research provides crucial data for long-term water resource planning and assessment. The findings are valuable for national, regional, and transboundary water management agencies, offering insights into sustainable water resource management under changing climatic and different land-use conditions.
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