Watershed Prioritisation of Drainage Basins Based on Geomorphometric Parameters, Neyyar Watershed, India

IF 1 Q3 GEOGRAPHY
Padala Raja Shekar, Aneesh Mathew
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引用次数: 1

Abstract

Abstract Prioritisation of sub-watersheds (SWs) is becoming increasingly important in the conservation of natural resources, particularly in watershed planning. In this study, sub-watershed for the Neyyar basin was prioritised using three methods: morphometric analysis, principal component analysis (PCA) and hypsometric analysis. Morphometric analysis and hypsometric analysis were carried out using remote sensing (RS) and geographic information system (GIS) techniques, while PCA was performed for dimensionality reduction of morphometric parameters. The watershed was divided into 11 sub-watersheds (SW1–SW11), and each sub-watershed was given priority. To rank and prioritise SWs, 15 morphometric parameters were selected from the quantitative measures of morphometric analysis, including linear, relief, and areal. PCA was used to rank and prioritise SWs based on three highly correlated morphometric parameters. The hypsometric integral (HI) values were determined using the elevation relief ratio approach, and HI values were utilised to prioritise SWs. For both methods, such as morphometric analysis and PCA, a higher priority has been given to SW1. Using hypsometric analysis, higher priorities have been assigned to SW1, SW7, SW8, SW9, SW10 and SW11. The most common SWs that belong to the same priority of SWs and have a high correlation between them among the three methods are SW1, SW2, and SW5.The results of this analysis indicate that SW1 is a common high priority area with a significant risk of soil erosion, runoff and peak discharge. Therefore, decision-makers may utilise the high-priority sub-watershed to guide planning and development, measure conservation efforts and manage the land to prevent.
印度奈亚尔流域基于地貌参数的流域优先级
子流域的优先排序在自然资源保护,特别是流域规划中变得越来越重要。本研究采用形态计量分析、主成分分析(PCA)和次计量分析三种方法对Neyyar流域的子流域进行了优选。利用遥感(RS)和地理信息系统(GIS)技术进行形态计量分析和假设计量分析,并对形态计量参数进行主成分分析法降维。将流域划分为11个子流域(SW1-SW11),每个子流域优先处理。为了对SWs进行排序和优先排序,从形态计量分析的定量测量中选择了15个形态计量参数,包括线性、起伏和面积。基于三个高度相关的形态计量参数,采用PCA对SWs进行排序和优先级排序。采用高程起伏比法确定了等高积分(HI)值,并利用HI值来确定SWs的优先级。对于这两种方法,如形态计量分析和PCA, SW1被给予了更高的优先权。通过假设分析,SW1、SW7、SW8、SW9、SW10和SW11的优先级更高。三种方法中最常见的SW1、SW2和SW5是属于相同优先级且相关性较高的SW1、SW2和SW5。分析结果表明,SW1是一个共同的高优先区,具有显著的土壤侵蚀、径流和洪峰排放风险。因此,决策者可以利用高优先级的子流域来指导规划和开发,衡量保护措施和管理土地预防。
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来源期刊
CiteScore
2.00
自引率
10.00%
发文量
0
审稿时长
12 weeks
期刊介绍: Quaestiones Geographicae was established in 1974 as an annual journal of the Institute of Geography, Adam Mickiewicz University, Poznań, Poland. Its founder and first editor was Professor Stefan Kozarski. Initially the scope of the journal covered issues in both physical and socio-economic geography; since 1982, exclusively physical geography. In 2006 there appeared the idea of a return to the original conception of the journal, although in a somewhat modified organisational form. Quaestiones Geographicae publishes research results of wide interest in the following fields: •physical geography, •economic and human geography, •spatial management and planning,
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