土壤侵蚀:评估印度阿萨姆州乔哈特区的河岸侵蚀动态,使用修订的MMF模型和GIS技术
Bipasha Borkotoky1, Bipul Deka2, Prem Kumar Bharteey3
1Department of Soil Science, Assam Agricultural University, Jorhat, Assam, 785013, India.
Environmental geochemistry and health
|January 12, 2026
概括
阿萨姆州的土壤侵蚀
科学领域:
- 环境科学 环境科学
- 土壤科学 土壤科学
- 遥感 遥感 遥感 遥感
背景情况:
- 土壤和营养物质的侵蚀对农业生产力和环境健康构成重大威胁.
- 布拉马普特拉河流域,特别是在阿萨姆州的约哈特地区,由于其动态性,容易受到侵蚀.
研究的目的:
- 为了评估阿萨姆州乔哈特地区的土壤和营养物质侵蚀.
- 确定该地区土壤侵蚀的主要驱动因素.
- 评估将地理空间分析与修订的摩根-摩根-芬尼 (RMMF) 模型用于侵蚀评估的有效性.
主要方法:
- 利用现场和实验室评估,卫星遥感 (Landsat-9 OLI FCC) 和修订的摩根-摩根-芬尼 (RMMF) 土壤侵蚀模型.
- 使用视觉解释和地理编码的FCC数据与印度调查局的顶部表一起绘制河流部分的地图.
- 从62个地点收集了土壤样本,并分析了1986年至2022年的土壤特性,侵蚀性指数和土地使用变化.
主要成果:
- 约有55.24%的研究区域在2023年5月至7月的洪水期间遇到了洪水.
- 侵蚀性指数表明易受侵蚀,估计每年的土壤损失为37.27t ha-1和营养损失,包括1444.32有机碳.
- 土地利用变化显示,河流沙 (61.16%) 和建筑用地 (52.75%) 显著增加,导致侵蚀.
结论:
- 在粗的质地,低有机物质的土壤上,不断扩大的耕地和赤裸的沙子是极端土壤和营养物质侵蚀的关键驱动因素.
- RMMF模型和地缘空间分析的结合是识别和量化土壤侵蚀的强大工具.
- 有效的土地管理策略对于减轻布拉马普特拉河流域的土壤和营养损失至关重要.
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