{"title":"基于GIS技术的Vrishabhavathi河河道治理结构的优先级、特征和地理空间定位","authors":"K. Gajalakshmi, A. M. Joshi, A. Sneha","doi":"10.37591/.V8I3.40","DOIUrl":null,"url":null,"abstract":"Bengaluru drainage characteristics of natural catchments have drastically altered due to unplanned urbanization, increasing volume and rate of surface runoff. The frequent blockage of drainage system due to indiscriminate disposal of solid waste, encroachment of wetlands and increasing volume of flow makes coping up and worsening the present drainage systems. These problems of urban floods can be prevented by taking necessary precautions in places where these urban floods could occur. Remote sensing and geographical information system plays a major role in recognizing the flood prone area. Using Arc-GIS software and Google Earth images, critical bed characteristics are identified. In order to analyse physico-chemical characteristics of ground water along the banks of the river, eight water samples were collected and tested. A temporal analysis on surface water of Vrishabhavathi reservoir was made. The geo-spatial location of varying ground water quality and flood prone areas was identified by weighted overlay analysis through GIS application. Bad river bed characteristics, poor ground water quality, flood prone areas and variation in surface water quality were identified in the study. This work is concluded by suggesting corrective measures that can be carried out in these identified locations to avoid urban floods. Keywords: GIS, river bed characteristics, physico-chemical characteristics, ground water quality, river training, geo-spatial location, flood prone areas Cite this Article Gajalakshmi K, Joshi Ashwin M, Sneha AR. Prioritization, Characterization and Geo-spatial Location of River Training Structures for Vrishabhavathi River using GIS Techniques. Journal of Remote Sensing & GIS . 2017; 8(3): 33–45p.","PeriodicalId":427440,"journal":{"name":"Journal of Remote Sensing & GIS","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Prioritization, Characterization and Geo-spatial Location of River Training Structures for Vrishabhavathi River using GIS Techniques\",\"authors\":\"K. Gajalakshmi, A. M. Joshi, A. Sneha\",\"doi\":\"10.37591/.V8I3.40\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Bengaluru drainage characteristics of natural catchments have drastically altered due to unplanned urbanization, increasing volume and rate of surface runoff. The frequent blockage of drainage system due to indiscriminate disposal of solid waste, encroachment of wetlands and increasing volume of flow makes coping up and worsening the present drainage systems. These problems of urban floods can be prevented by taking necessary precautions in places where these urban floods could occur. Remote sensing and geographical information system plays a major role in recognizing the flood prone area. Using Arc-GIS software and Google Earth images, critical bed characteristics are identified. In order to analyse physico-chemical characteristics of ground water along the banks of the river, eight water samples were collected and tested. A temporal analysis on surface water of Vrishabhavathi reservoir was made. The geo-spatial location of varying ground water quality and flood prone areas was identified by weighted overlay analysis through GIS application. Bad river bed characteristics, poor ground water quality, flood prone areas and variation in surface water quality were identified in the study. This work is concluded by suggesting corrective measures that can be carried out in these identified locations to avoid urban floods. Keywords: GIS, river bed characteristics, physico-chemical characteristics, ground water quality, river training, geo-spatial location, flood prone areas Cite this Article Gajalakshmi K, Joshi Ashwin M, Sneha AR. Prioritization, Characterization and Geo-spatial Location of River Training Structures for Vrishabhavathi River using GIS Techniques. 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引用次数: 0
摘要
由于无计划的城市化,地表径流的体积和速度增加,班加罗尔自然集水区的排水特征发生了巨大变化。由于固体废物的随意处置、湿地的侵蚀和流量的增加,排水系统经常堵塞,使现有的排水系统得到弥补和恶化。这些城市洪水问题可以通过在可能发生城市洪水的地方采取必要的预防措施来预防。遥感和地理信息系统在识别洪水易发区中起着重要作用。利用Arc-GIS软件和Google Earth图像,确定了关键的地层特征。为了分析河岸地下水的物理化学特征,采集了8个水样并进行了测试。对Vrishabhavathi水库地表水进行了时间分析。通过GIS应用加权叠加分析,确定了不同地下水水质和洪水易发区的地理空间位置。研究发现河床特征差、地下水水质差、洪水易发区和地表水水质变化大。这项工作的结论是提出了可以在这些确定的地点实施的纠正措施,以避免城市洪水。Gajalakshmi K, Joshi Ashwin M, Sneha AR.基于GIS技术的Vrishabhavathi河河道治理结构优选、特征及地理空间定位。遥感与地理信息系统学报。2017;8 (3): 33-45p。
Prioritization, Characterization and Geo-spatial Location of River Training Structures for Vrishabhavathi River using GIS Techniques
Bengaluru drainage characteristics of natural catchments have drastically altered due to unplanned urbanization, increasing volume and rate of surface runoff. The frequent blockage of drainage system due to indiscriminate disposal of solid waste, encroachment of wetlands and increasing volume of flow makes coping up and worsening the present drainage systems. These problems of urban floods can be prevented by taking necessary precautions in places where these urban floods could occur. Remote sensing and geographical information system plays a major role in recognizing the flood prone area. Using Arc-GIS software and Google Earth images, critical bed characteristics are identified. In order to analyse physico-chemical characteristics of ground water along the banks of the river, eight water samples were collected and tested. A temporal analysis on surface water of Vrishabhavathi reservoir was made. The geo-spatial location of varying ground water quality and flood prone areas was identified by weighted overlay analysis through GIS application. Bad river bed characteristics, poor ground water quality, flood prone areas and variation in surface water quality were identified in the study. This work is concluded by suggesting corrective measures that can be carried out in these identified locations to avoid urban floods. Keywords: GIS, river bed characteristics, physico-chemical characteristics, ground water quality, river training, geo-spatial location, flood prone areas Cite this Article Gajalakshmi K, Joshi Ashwin M, Sneha AR. Prioritization, Characterization and Geo-spatial Location of River Training Structures for Vrishabhavathi River using GIS Techniques. Journal of Remote Sensing & GIS . 2017; 8(3): 33–45p.