Drainage analysis of the Karanja River basin, Karnataka, India using Geo-informatics

IF 2.3 Q2 REMOTE SENSING Applied Geomatics Pub Date : 2024-10-11 DOI:10.1007/s12518-024-00584-5
Pawan Kumar Gautam
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Abstract

A drainage analysis of Karanja River has been carried out using geospatial technique. These methods are considered effective for extracting river basin and their drainage networks. The drainage network extracted was categorized using Strahler’s classification system, revealing a dendritic drainage pattern in the basin. Consequently, the study concludes that remote sensing data, particularly SRTM–DEM data with a 90 m resolution, combined with geoprocessing techniques, serve as an effective tool for conducting morphometric analysis and evaluating linear, areal, relief, geometric, morpho-tectonics and social aspects of morphometric parameters. The Karanja basin covers an area of 2959 km², with the high surface rock permeability, low surface runoff, high infiltration rate, and low erodibility. The main stream length ratio of the basin is 36.29, suggesting that increasing trend between the highest and the lowest stream. The watercourses are elongated due to the shallow relief, resulting in a lower peak flow and a longer flow duration. The basin exhibits a gentle slope, minimal runoff potential, and mature stage of landform evolution. The asymmetric factor indicates the north-eastern shift of the channel. GIS-based analysis of all morphometric parameters, along with the erosional development of the area by the streams, indicates that the landscape has progressed well beyond maturity, with lithology playing a key role in shaping the drainage patterns. Advanced geospatial technology can be applied to geo-hydrological research systems in environmental management, watershed management and land system management, etc. with the future hydrological prospects of the area.

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利用地理信息学对印度卡纳塔克邦 Karanja 河流域进行排水分析
利用地理空间技术对 Karanja 河进行了排水分析。这些方法被认为是提取河流流域及其排水网络的有效方法。利用斯特拉勒分类系统对提取的排水网络进行了分类,发现该流域呈树枝状排水模式。因此,研究得出结论,遥感数据,特别是分辨率为 90 米的 SRTM-DEM 数据,与地理处理技术相结合,是进行形态分析和评估线性、面积、地形、几何、形态构造和形态参数的社会方面的有效工具。卡兰加盆地面积 2959 平方公里,地表岩石渗透性高,地表径流量小,入渗率高,侵蚀性小。该流域的干流长度比为 36.29,表明最高流和最低流之间呈递增趋势。由于地势较浅,河道被拉长,导致峰值流量较低,流经时间较长。盆地坡度较缓,径流潜力最小,地貌演化处于成熟阶段。不对称因子表明河道向东北方向移动。基于地理信息系统的所有形态参数分析以及溪流对该地区的侵蚀发展表明,地貌已远远超过成熟期,岩性在塑造排水模式方面发挥着关键作用。先进的地理空间技术可应用于环境管理、流域管理和土地系统管理等方面的地理水文研究系统,并可展望该地区未来的水文前景。
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来源期刊
Applied Geomatics
Applied Geomatics REMOTE SENSING-
CiteScore
5.40
自引率
3.70%
发文量
61
期刊介绍: Applied Geomatics (AGMJ) is the official journal of SIFET the Italian Society of Photogrammetry and Topography and covers all aspects and information on scientific and technical advances in the geomatics sciences. The Journal publishes innovative contributions in geomatics applications ranging from the integration of instruments, methodologies and technologies and their use in the environmental sciences, engineering and other natural sciences. The areas of interest include many research fields such as: remote sensing, close range and videometric photogrammetry, image analysis, digital mapping, land and geographic information systems, geographic information science, integrated geodesy, spatial data analysis, heritage recording; network adjustment and numerical processes. Furthermore, Applied Geomatics is open to articles from all areas of deformation measurements and analysis, structural engineering, mechanical engineering and all trends in earth and planetary survey science and space technology. The Journal also contains notices of conferences and international workshops, industry news, and information on new products. It provides a useful forum for professional and academic scientists involved in geomatics science and technology. Information on Open Research Funding and Support may be found here: https://www.springernature.com/gp/open-research/institutional-agreements
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