B. Deepika, S. Rajakumari, R. Madhumitha, M. Malathi
{"title":"气候变化诱发洪水易发区的划分:影响评估的综合方法","authors":"B. Deepika, S. Rajakumari, R. Madhumitha, M. Malathi","doi":"10.1007/s12524-024-01999-8","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":17510,"journal":{"name":"Journal of the Indian Society of Remote Sensing","volume":"10 1","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Delineation of Climate-Change Induced Flood Susceptible Zones: An Integrated Approach of Impact Assessment\",\"authors\":\"B. Deepika, S. Rajakumari, R. Madhumitha, M. Malathi\",\"doi\":\"10.1007/s12524-024-01999-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":17510,\"journal\":{\"name\":\"Journal of the Indian Society of Remote Sensing\",\"volume\":\"10 1\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-09-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Indian Society of Remote Sensing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1007/s12524-024-01999-8\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Indian Society of Remote Sensing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12524-024-01999-8","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Delineation of Climate-Change Induced Flood Susceptible Zones: An Integrated Approach of Impact Assessment
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.
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.