Geospatial modelling of flood susceptibility pattern in a subtropical area of West Bengal, India
Geospatial modelling of flood susceptibility pattern in a subtropical area of West Bengal, India
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印度西孟加拉邦亚热带地区洪水易发性模式的地理空间建模
DOI：
10.1007/s12665-017-6667-9
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发表时间：
2017
影响因子：
2.8
通讯作者：
Rumpa Mandal
中科院分区：
文献类型：
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作者：
H. Kaur;Srimanta Gupta;S. Parkash;R. Thapa;Rumpa Mandal
洪涝灾害是所有自然灾害中最具破坏性的灾害，时刻威胁着人类的生命财产安全。地理空间方法可以通过生成有助于规划真正有效的防洪行动的信息和知识来改进有效的减少灾害风险战略。本研究旨在通过经验选择和加权的洪水空间预测因子，开发印度西孟加拉邦 Medinipur 区 Ghatal 和 Tamluk 分区洪水敏感性的量化预测模型。加权预测模型用于量化洪水淹没研究区域内各个地理空间因素之间的空间关联。 Yule系数和距离分布分析用于为各个地理因素分配权重，最后将加权空间预测因子集成到多类指数叠加分析中，得出洪水敏感性的空间显式预测模型。由此产生的易发性模型显示，总研究区域（3261.45 平方公里）的约 32.35% 和 52.99% 属于高至中度洪水易感区。这项研究的定量结果可以纳入制定地方和国家政府未来防洪管理计划的政策流程中，并开发适当的基础设施，以保护梅迪尼普尔地区普通人民的生命和财产。
Flood hazards are the most destructive among all natural disasters and are a constant threat to human’s life and property. Effective disaster risk reduction strategies can be improved by geospatial approach in the way of producing information and knowledge that are useful to plan truly effective actions for the protection from floods. This research aims to develop a quantified predictive model of flood susceptibility in the Ghatal and Tamluk subdivision of Medinipur district of West Bengal, India, by means of empirically selected and weighted spatial predictors of flood. The weighted prediction model is used to quantify the spatial associations between individual geospatial factors within the flood inundated study area. Yule’s coefficient and distance distribution analysis are used to assign weights to individual geo-factors, and finally weighted spatial predictors are integrated to a multi-class index overlay analysis to derive the spatially explicit predictive model of flood susceptibility. The resultant susceptibility model reveals that approximately 32.35 and 52.99% of the total study areas (3261.45 km2) are under the category of high-to-moderate flood susceptible zone. Quantitative results of this study could be integrated into the policy process in the formulation of local and national government plans for the future flood mitigation management and also to develop appropriate infrastructure in order to protect the lives and properties of the common people of the Medinipur district.
泰国东北部气候数据测绘：降雨量。
DOI：
--
发表时间：
2005
期刊：
Tropics 15
影响因子：
--
作者：
Nawata E.;Y.Nagata;A.Sasaki;K.Iwama;T.Sakuratani
通讯作者：
T.Sakuratani