Suppr超能文献

基于不同方法的土壤侵蚀速率对印度科伊纳河流域的地理空间技术优先级排序。

Geospatial technology for prioritization of Koyna River basin of India based on soil erosion rates using different approaches.

机构信息

Department of Soil and Water Conservation Engineering, G. B. Pant University of Agriculture and Technology, Pantnagar, Uttarakhand, 263145, India.

出版信息

Environ Sci Pollut Res Int. 2021 Jul;28(26):35242-35265. doi: 10.1007/s11356-021-13155-7. Epub 2021 Mar 5.

Abstract

The information about different morphometric parameters of any watershed is necessary for better watershed management and planning. This study aimed to investigate morphometric characteristics, to assess the soil erosion risk, and to prioritize different sub-watersheds of the Koyna River basin, India, with two different approaches using geospatial technology. Different linear, shape, and relief parameters of the basin were estimated and analyzed. The linear and shape parameters indicated that the basin has less flood hazard. The relief parameters indicated that the basin has moderate roughness and unevenness. The parallel drainage pattern is dominant inside the basin due to the highly elongated nature of the basin. The bifurcation ratio (R) indicated lithological and geological variations inside the basin. Two different approaches namely morphometric analysis and empirical Revised Universal Soil Loss Equation (RUSLE) method were applied for prioritization of different sub-watersheds. Rainfall, soil, digital elevation model (DEM), and normalized difference vegetation index (NDVI) data were used for identifying erosion-prone zones with RUSLE analysis. Based on RUSLE analysis, the entire study area was divided into five soil erosion risk classes namely very slight (80.43 %), slight (14.94 %), moderate (3.21 %), severe (0.79 %), and very severe (0.63%), respectively. Most of the study area was found to be under a very slight soil erosion vulnerability class based on the RUSLE approach. The conservation practices should be carried out as per the priority ranking of different sub-watershed based on soil erosion rates. The results found in this study can surely assist in the implementation of soil conservation planning and management practices to reduce soil loss in the Koyna River basin of India.

摘要

流域的不同形态参数信息对于更好的流域管理和规划是必要的。本研究旨在利用地理空间技术,通过两种不同的方法,研究印度科依纳河流域的形态特征,评估土壤侵蚀风险,并对不同的子流域进行优先排序。对流域的不同线性、形状和地形参数进行了估算和分析。流域的线性和形状参数表明,该流域洪水灾害风险较小。地形参数表明,该流域具有中等粗糙度和不均匀性。由于流域具有极高的长形特征,流域内主要是平行的排水模式。分叉比(R)指示了流域内的岩性和地质变化。本研究采用了两种不同的方法,即形态分析和经验修正的通用土壤流失方程(RUSLE)方法,对不同的子流域进行优先排序。降雨、土壤、数字高程模型(DEM)和归一化差异植被指数(NDVI)数据用于通过 RUSLE 分析识别易受侵蚀的区域。基于 RUSLE 分析,将整个研究区分为五个土壤侵蚀风险等级,即轻微(80.43%)、轻度(14.94%)、中度(3.21%)、重度(0.79%)和极重度(0.63%)。根据 RUSLE 方法,研究区大部分地区的土壤侵蚀脆弱性处于轻微水平。根据土壤侵蚀率,应根据不同子流域的优先排序,开展保护实践。本研究的结果肯定有助于实施水土保持规划和管理实践,减少印度科依纳河流域的土壤流失。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验