Ravish Keshri, M. P. Tripathi, Dhiraj Khalkho, S. K. Verma, Shruti Verma
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Milli watershed was automatically delineated and divided into eleven micro watersheds MWS 1 to MWS 11 on the basis of topography from the Depression less Digital Elevation Model (DEM) with 10 m resolution prepared by Inverse Distance Weighted (IDW) interpolation technique. Stream order in study area milli watershed ranges from one to two. Each parameter has been assigned their ranks according to their value. Thereafter, an average value of the rank score for each of the micro watershed is calculated. The micro watershed with the lowest compound factor (Cp) was given the highest prioritized rank out of the group of micro watersheds, and vice versa. The result from the priority ranking of morphometric analysis shows that MWS 7 is having high priority while MWS 8 is having low priority. Micro watersheds MWS 9 and MWS 11 falls under same priority i.e. 6 and also micro watersheds MWS 2 and MWS 4 falls under same priority i.e. 7. To control soil erosion, various land rehabilitation programmes and bioengineering methods should be adopted on the micro watershed of high priority categories, followed by medium and low priority categories.","PeriodicalId":10730,"journal":{"name":"Current Journal of Applied Science and Technology","volume":"50 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evaluation of Morphometric Parameter for Prioritization of Kantori Nala Milli Watershed\",\"authors\":\"Ravish Keshri, M. P. Tripathi, Dhiraj Khalkho, S. K. Verma, Shruti Verma\",\"doi\":\"10.9734/cjast/2023/v42i404257\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Watershed morphological and hydrological properties can be derived from the drainage morphometric parameter. Morphometric analysis with the help of remote sensing and GIS techniques is considered to be the most useful approach for prioritization of watersheds. The main aim of the study is to evaluate the morphometric parameters of Kantori nala milli watershed located at Mahasamund district of Chhattisgarh state, India. This study outlines the significance of digital elevation model for assessment of drainage pattern and extraction of relative parameters. Milli watershed was automatically delineated and divided into eleven micro watersheds MWS 1 to MWS 11 on the basis of topography from the Depression less Digital Elevation Model (DEM) with 10 m resolution prepared by Inverse Distance Weighted (IDW) interpolation technique. Stream order in study area milli watershed ranges from one to two. Each parameter has been assigned their ranks according to their value. Thereafter, an average value of the rank score for each of the micro watershed is calculated. 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引用次数: 0
摘要
流域形态计量参数可以推导出流域的形态和水文特性。在遥感和地理信息系统技术的帮助下,形态计量学分析被认为是确定流域优先次序的最有用的方法。本研究的主要目的是评估位于印度恰蒂斯加尔邦Mahasamund地区的Kantori nala milli流域的形态计量参数。本文概述了数字高程模型在流域格局评价和相关参数提取中的重要意义。利用反距离加权(IDW)插值技术制备的10 m分辨率的DEM (Depression less Digital Elevation Model),根据地形自动圈定Milli流域,划分为11个微流域MWS 1 ~ MWS 11。研究区毫米波流域的河流等级为一至二。每个参数都根据它们的值被分配了等级。然后,计算每个微流域的等级得分平均值。复合因子(Cp)最低的微流域在微流域组中优先级最高,反之亦然。形态计量分析的优先级排序结果显示,MWS 7优先级高,MWS 8优先级低。微流域MWS 9和MWS 11的优先级相同,即6,微流域MWS 2和MWS 4的优先级相同,即7。为控制土壤侵蚀,应在高优先级的微流域采用各种土地修复方案和生物工程方法,其次是中、低优先级。
Evaluation of Morphometric Parameter for Prioritization of Kantori Nala Milli Watershed
Watershed morphological and hydrological properties can be derived from the drainage morphometric parameter. Morphometric analysis with the help of remote sensing and GIS techniques is considered to be the most useful approach for prioritization of watersheds. The main aim of the study is to evaluate the morphometric parameters of Kantori nala milli watershed located at Mahasamund district of Chhattisgarh state, India. This study outlines the significance of digital elevation model for assessment of drainage pattern and extraction of relative parameters. Milli watershed was automatically delineated and divided into eleven micro watersheds MWS 1 to MWS 11 on the basis of topography from the Depression less Digital Elevation Model (DEM) with 10 m resolution prepared by Inverse Distance Weighted (IDW) interpolation technique. Stream order in study area milli watershed ranges from one to two. Each parameter has been assigned their ranks according to their value. Thereafter, an average value of the rank score for each of the micro watershed is calculated. The micro watershed with the lowest compound factor (Cp) was given the highest prioritized rank out of the group of micro watersheds, and vice versa. The result from the priority ranking of morphometric analysis shows that MWS 7 is having high priority while MWS 8 is having low priority. Micro watersheds MWS 9 and MWS 11 falls under same priority i.e. 6 and also micro watersheds MWS 2 and MWS 4 falls under same priority i.e. 7. To control soil erosion, various land rehabilitation programmes and bioengineering methods should be adopted on the micro watershed of high priority categories, followed by medium and low priority categories.