利用遥感和GIS技术在印度泰米尔纳德邦Karur地区利用排水形态计量学分析进行分流域径流建模

J. Muralitharan, K. Palanivel
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引用次数: 2

摘要

形态计量学检测被广泛用于评价流域特征,是目前研究中确定易发生径流的流域的一种有用工具。遥感与地理信息系统已被证明是一种成功的工具,可用于流域与流域边界的划分和流域形态测量的调查。目前的研究整合了印度泰米尔纳德邦卡鲁区68个流域的形态计量学研究。测量常见的形态计量参数进行分析。排水密度、分岔比、排水纹理、圆度比、水流频率、形状因子等形态特征与径流有直接联系,即优于这些值,则多为径流。对于径流易发子流域的识别,以上限制的最大值被评为第5级,随后的最大值被评为第4级,依次类推,这些因素的最小值被评为第1级。坡面流延伸率、长度等因子与径流量的关系相反,均较小;补充是径流。因此,这些因素的低值被评为第5级,随后,低值被评为第4级,依次类推,这些参数的最大值被评为第1级。上述加权地图在ArcGIS软件中进行识别,以确定易发生径流的子流域。由于研究区没有先验信息,本研究将提高对研究区流域特征及其径流倾向性的系统认识。目前的研究结果将支持在研究区流域开展进一步的水文改善行动。关键词:地理信息系统,形态计量分析,遥感,流域径流倾向模型利用遥感和GIS技术在印度泰米尔纳德邦Karur地区利用排水形态计量学分析进行分流域径流建模。遥感与地理信息系统学报。2019;10 (2): 52 - 65 p。
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Sub-watershed wise Runoff Modeling using Drainage Morphometric Analysis in Karur District, Tamil Nadu, India through Remote Sensing and GIS Techniques
Morphometric examination, being extensively used to evaluate the drainage individuality and have been found to be a helpful tool to identify areas runoff prone sub-watersheds in this current study. Remote Sensing and Geographical Information System has been demonstrated as successful apparatus in the demarcation of drainages and sub-watersheds boundary and morphometric investigations of sub-watersheds. The current study integrates a morphometric study of 68 sub-watersheds of Karur District, Tamil Nadu, India. Common morphometric parameters are measured for analysis. The following morphometric features such as drainage density, bifurcation ratio, drainage texture, circularity ratio, stream frequency, and form factor has a straight connection by runoff, i.e., superior these values, then, more is the runoff. For the recognition of runoff prone sub-watersheds, the uppermost values of above limits were rated as rank 5, the subsequent uppermost values were rated as rank 4 and so on, and the least values of these factors were charged last in rank 1. The factor such as elongation ratio and length of overland flow has an opposite connection with runoff, i.e., lesser these values; supplementary is the runoff. Therefore the lowly values of these factors were rated as level 5, subsequently, lower values were rated as rank 4 and so on and the maximum values of these parameters were rated last in rank 1. The above-weighted maps were in ArcGIS software to identify the runoff prone sub-watersheds. The current study will improve the systematic understanding of watershed characteristics and its runoff proneness of the study area since there is no prior information is accessible in this study region. The results of the current research will support the development of further hydrological improvement actions in the study area watersheds. Keywords: GIS, morphometric analysis, remote Sensing, sub-watershed-runoff prone modeling Cite this Article J. Muralitharan, K. Palanivel. Sub-watershed wise Runoff Modeling using Drainage Morphometric Analysis in Karur District, Tamil Nadu, India through Remote Sensing and GIS Techniques. Journal of Remote Sensing & GIS. 2019; 10(2): 52–65p.
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