Suppr超能文献

基于SWAT模型的埃塞俄比亚青尼罗河流域吉尔盖勒阿贝伊河上游流域土壤侵蚀和产沙量模拟

SWAT-based soil erosion and sediment yield modeling in the upper Gilgel Abay catchment, Blue Nile Basin, Ethiopia.

作者信息

Alebachew Endalamaw Dessie, Wolka Kebede, Molla Mikias Biazen, Emiru Nega Chalie, Dengiz Orhan, Agbor David Tavi

机构信息

Hawassa University, Wondo Genet College of Forestry and Natural Resources, Hawassa, Ethiopia.

Faculity of Agriculture, Department of Soil Science and Plant Nutrition, Ondokuz Mayıs University, Samsun, Turkey.

出版信息

Sci Rep. 2025 Aug 6;15(1):28821. doi: 10.1038/s41598-025-09367-3.

Abstract

Soil erosion is a critical global issue, threatening the sustainability of natural resources and agricultural productivity. Accurate information on sediment yield and soil erosion risk within watersheds is essential for developing effective management strategies. This study aimed to estimate soil loss in the Upper Gilgel Abay catchment using the Soil and Water Assessment Tool (SWAT). The observed daily sediment data were utilized for the calibration and validation of the model outputs. Calibration and validation were performed for the periods 2002-2015 and 2016-2021, respectively. Sensitivity analysis identified the most influential parameters affecting soil loss estimates. The model performance was quite satisfactory. The coefficient of determination (R) was 0.69 for the calibration and 0.67 for the validation of sediment yield. Over the past 18 years, the Gilgel Abay catchment experienced approximately 1.5 billion tons of soil loss, with spatial analysis revealing soil loss rates of up to 53.88 t/ha/year, particularly in the upper catchment. The maximum and minimum annual sediment yields at the outlet of the catchment were 318, 233 tons, and 61,575 tons per year, respectively. On average 184,695 tons of soil leave the catchment annually. While the model provided an acceptable level of the average basin-wide soil loss, certain areas exhibited severe erosion. These findings underscore the urgent need for targeted soil conservation practices, such as terracing, reforestation, and sustainable land management, to mitigate soil degradation and enhance catchment sustainability.

摘要

土壤侵蚀是一个关键的全球性问题,威胁着自然资源的可持续性和农业生产力。流域内准确的产沙量和土壤侵蚀风险信息对于制定有效的管理策略至关重要。本研究旨在使用土壤和水资源评估工具(SWAT)估算吉尔盖勒阿巴伊河上游流域的土壤流失量。观测到的每日泥沙数据用于校准和验证模型输出。校准和验证分别在2002 - 2015年和2016 - 2021年期间进行。敏感性分析确定了影响土壤流失估算的最具影响力参数。模型性能相当令人满意。产沙量校准的决定系数(R)为0.69,验证的决定系数为0.67。在过去18年里,吉尔盖勒阿巴伊河流域经历了约15亿吨的土壤流失,空间分析显示土壤流失率高达53.88吨/公顷/年,特别是在上游流域。流域出口处的最大和最小年产沙量分别为318,233吨和61,575吨/年。平均每年有184,695吨土壤流出该流域。虽然该模型提供了全流域平均土壤流失的可接受水平,但某些地区仍表现出严重侵蚀。这些发现强调了迫切需要采取针对性的土壤保护措施,如梯田建设、重新造林和可持续土地管理,以减轻土壤退化并提高流域的可持续性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37e3/12328791/72f1eb5be877/41598_2025_9367_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验