Erosion Risk Assessment for Prioritization of Soil and Water Conservation Measures in the Semi-Arid Region: A Remote Sensing and GIS-Based Approach

IF 2.2 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES Journal of the Indian Society of Remote Sensing Pub Date : 2024-08-30 DOI:10.1007/s12524-024-01996-x
Ashish Koradia, Jayantilal N. Patel
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Abstract

Erosion risk assessment is essential for implementing effective soil and water conservation (SWC) measures, presenting complex challenges, especially in data-scarce semi-arid regions of India. This study addresses these challenges by applying a comprehensive approach to prioritize intervention areas, thus enhancing erosion management efficiency in the Devgadh Baria Watershed (DBW) in Gujarat, India. The primary objective is to systematically prioritize sub-watersheds (SWs) through geomorphometric and LULC analyses and propose appropriate SWC measures for high-priority areas. Utilizing remote sensing (RS) and geographical information systems (GIS) techniques, the study delineates SWs and assesses their vulnerability using seven distinct morphometric parameters and LULC classes, including agricultural land, forest, wasteland, and built-up areas. The combined analysis integrates these parameters to produce compound values for all 30 SWs, resulting in a refined priority ranking. SW26, initially very high priority in morphometric analysis due to steep slopes and minimal drainage density, shifted to medium priority in the combined analysis, reflecting effective agricultural management practices that reduce erosion. Conversely, SW7 remained a very high priority across both analyses, indicating consistent high erosion risk due to a significant built-up area and limited forest cover. SW30 shifted from high to medium priority, influenced by balanced agricultural activities and lower slopes. SWs 6 and 24 transitioned from very high to medium priority, while SW22 remained high, supported by moderate forest cover and beneficial soil types mitigating erosion. This research underscores the scientific importance of integrating morphometric and LULC analyses for precise SW prioritization. The combined approach enhances erosion risk assessments and supports targeted SWC strategies, crucial for effective watershed management in semi-arid regions. The findings provide actionable insights that align with global sustainability goals, contributing to improved soil conservation and water resource management.

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用于确定半干旱地区水土保持措施优先次序的侵蚀风险评估:基于遥感和地理信息系统的方法
水土流失风险评估对于实施有效的水土保持(SWC)措施至关重要,它带来了复杂的挑战,尤其是在印度数据稀缺的半干旱地区。本研究采用综合方法确定干预区域的优先次序,从而提高印度古吉拉特邦 Devgadh Baria 流域(DBW)的侵蚀管理效率,以应对这些挑战。主要目标是通过地貌和土地利用、土地利用的变化和碳循环(LULC)分析,系统地确定次级流域(SW)的优先次序,并为优先区域提出适当的小流域侵蚀治理措施。该研究利用遥感 (RS) 和地理信息系统 (GIS) 技术,通过七个不同的形态测量参数和 LULC 类别(包括农田、森林、荒地和建筑密集区)来划分 SWs 并评估其脆弱性。综合分析对这些参数进行整合,得出所有 30 个 SW 的复合值,从而对优先级进行细化排序。SW26 最初由于坡度陡峭和排水密度极小而在形态分析中具有很高的优先级,但在综合分析中却转为中等优先级,这反映出有效的农业管理方法可减少侵蚀。相反,SW7 在两次分析中都保持了极高的优先级,表明由于建筑密集区和有限的森林覆盖率,侵蚀风险一直很高。受均衡的农业活动和较低斜坡的影响,SW30 从高优先级转为中等优先级。SW6 和 SW24 从极高优先级转变为中等优先级,而 SW22 则由于适度的森林覆盖率和可减轻侵蚀的有益土壤类型而保持较高优先级。这项研究强调了综合形态计量学和土地利用、土地利用变化和碳循环(LULC)分析对精确确定 SW 优先级的科学重要性。这种综合方法加强了水土流失风险评估,支持有针对性的水土保持战略,对半干旱地区有效的流域管理至关重要。研究结果提供了符合全球可持续发展目标的可行见解,有助于改善土壤保护和水资源管理。
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来源期刊
Journal of the Indian Society of Remote Sensing
Journal of the Indian Society of Remote Sensing ENVIRONMENTAL SCIENCES-REMOTE SENSING
CiteScore
4.80
自引率
8.00%
发文量
163
审稿时长
7 months
期刊介绍: The aims and scope of the Journal of the Indian Society of Remote Sensing are to help towards advancement, dissemination and application of the knowledge of Remote Sensing technology, which is deemed to include photo interpretation, photogrammetry, aerial photography, image processing, and other related technologies in the field of survey, planning and management of natural resources and other areas of application where the technology is considered to be appropriate, to promote interaction among all persons, bodies, institutions (private and/or state-owned) and industries interested in achieving advancement, dissemination and application of the technology, to encourage and undertake research in remote sensing and related technologies and to undertake and execute all acts which shall promote all or any of the aims and objectives of the Indian Society of Remote Sensing.
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