Delineation of Climate-Change Induced Flood Susceptible Zones: An Integrated Approach of Impact Assessment

IF 2.2 4区 地球科学 Q3 ENVIRONMENTAL SCIENCES Journal of the Indian Society of Remote Sensing Pub Date : 2024-09-11 DOI:10.1007/s12524-024-01999-8
B. Deepika, S. Rajakumari, R. Madhumitha, M. Malathi
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Abstract

The occurrence of heavy rains caused by cyclones has emerged as a significant factor leading to the occurrence of floods in the state of Andhra Pradesh, located in South India. The current investigation utilized a combination of GIS and AHP techniques to determine the flood-prone zonation of nine administrative units situated along the Vamsadhara River in the Srikakulam district. The analysis incorporated 16 parameters to identify the Flood Susceptible Zone (FSZ) and involved sensitivity analysis of the variables employed to enhance the reliability of the findings. The FSZ maps obtained were divided into five categories: very high, high, moderate, low, and very low. From the results, it was determined that 19% of the entire study area fell into the very high FSZ classification, while 34% were classified as high FSZ. Additionally, 29% of the area fell into the moderate FSZ category, followed by 14% in the low category, and 4% in the very low category. Among the 9 mandals selected for study, a majority of over 50% of the land area in Gara, Lakshminarsupeta, Narasannapeta, Polaki, and Sarubujjili faced susceptibility that varies from very high to highly susceptible to inundations. Overlay analysis of the water area on the FSZ map before and after a Cyclone demonstrates that the waterlogged regions predominantly coincide with the high and very high susceptibility categories. The results presented in the paper will provide valuable assistance to state and local officials by offering profound insights to support the implementation of effective strategies to reduce future risks.

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气候变化诱发洪水易发区的划分:影响评估的综合方法
在印度南部的安得拉邦,气旋引起的暴雨已成为导致洪水发生的一个重要因素。本次调查结合使用了地理信息系统和 AHP 技术,以确定斯里卡库拉姆地区瓦姆萨达拉河沿岸九个行政单位的洪水易发区划。分析中采用了 16 个参数来确定洪水易发区 (FSZ),并对采用的变量进行了敏感性分析,以提高研究结果的可靠性。获得的洪水易发区地图分为五类:极高、高、中等、低和极低。研究结果表明,整个研究区域有 19% 属于极高食物安全区,34% 属于高食物安全区。此外,29% 的地区属于中度 FSZ 类别,14% 属于低度类别,4% 属于极低度类别。在选定进行研究的 9 个县中,加拉、拉克希米纳苏佩塔、纳拉萨纳佩塔、波拉基和萨鲁布吉利的大部分土地面积超过 50%,面临着从极易淹没到极易淹没不等的易淹没性。在气旋前后,FSZ 地图上水域面积的叠加分析表明,内涝区域主要与高易受性和极易受性类别相吻合。本文介绍的结果将为国家和地方官员提供宝贵的帮助,提供深刻的见解,以支持实施有效的战略来降低未来的风险。
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来源期刊
Journal of the Indian Society of Remote Sensing
Journal of the Indian Society of Remote Sensing ENVIRONMENTAL SCIENCES-REMOTE SENSING
CiteScore
4.80
自引率
8.00%
发文量
163
审稿时长
7 months
期刊介绍: The aims and scope of the Journal of the Indian Society of Remote Sensing are to help towards advancement, dissemination and application of the knowledge of Remote Sensing technology, which is deemed to include photo interpretation, photogrammetry, aerial photography, image processing, and other related technologies in the field of survey, planning and management of natural resources and other areas of application where the technology is considered to be appropriate, to promote interaction among all persons, bodies, institutions (private and/or state-owned) and industries interested in achieving advancement, dissemination and application of the technology, to encourage and undertake research in remote sensing and related technologies and to undertake and execute all acts which shall promote all or any of the aims and objectives of the Indian Society of Remote Sensing.
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