{"title":"Erosion vulnerable area assessment of Jamuna River system in Bangladesh using a multi-criteria-based geospatial fuzzy expert system and remote sensing","authors":"Kazi Faiz Alam, Tofael Ahamed","doi":"10.1007/s41685-023-00292-9","DOIUrl":null,"url":null,"abstract":"<div><p>Jamuna, a dynamic and unstable braided river system in Bangladesh, is approximately 240 km long and becomes extremely unstable during the rainy season resulting in serious bank erosion. Therefore, this study aimed to assess the erosion-prone areas adjacent to the Jamuna River system. Change detection analysis was carried out using Landsat 8 (OLI) images captured in 2020 by multi-criteria analysis using a geospatial fuzzy expert system and state-of-the-art remote sensing technology. Normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), normalized difference water index (NDWI), distance from the river, land use and land cover <i>(LULC)</i>, and slope and elevation were selected as criteria for this analysis. All criteria maps were standardized using fuzzy membership functions and reclassification of each criteria performed. Furthermore, expert judgments were included to rank the criteria influencing vulnerable areas based on an analytical hierarchy process (AHP) approach. Finally, a weighted overlay map was prepared for erosion vulnerability assessment from the reclassified maps. From these analyses, we found that water bodies covered 1003 km<sup>2</sup> (10.94%), high-to-moderate erosion-prone areas were 7401.21 km<sup>2</sup> (77.39%), marginal erosion-prone areas 1065 km<sup>2</sup> (11.61%) and nonerosion-prone areas only 5.9 km<sup>2</sup> (0.06%), respectively. To verify the vulnerable areas, 150 reference points of water bodies from the mainstream of the Jamuna River were taken using Google Earth Pro images captured in 2020. These points were plotted on the NDWI maps of 2020 and 1990 to verify the detection of changes in the riverbank shifts for 30-year intervals. This confirmed the bank shifted from 3 to 4 km in more than 20 points during this span of time. Our analysis also confirmed that high-to-moderately erosion-vulnerable areas fall between 3 and 7 km. Therefore, we recommend the adoption of new agricultural land use planning, considering erosion venerable areas to ensure agricultural production and livelihood security.</p></div>","PeriodicalId":36164,"journal":{"name":"Asia-Pacific Journal of Regional Science","volume":"7 2","pages":"433 - 454"},"PeriodicalIF":1.9000,"publicationDate":"2023-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Journal of Regional Science","FirstCategoryId":"1085","ListUrlMain":"https://link.springer.com/article/10.1007/s41685-023-00292-9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 1
Abstract
Jamuna, a dynamic and unstable braided river system in Bangladesh, is approximately 240 km long and becomes extremely unstable during the rainy season resulting in serious bank erosion. Therefore, this study aimed to assess the erosion-prone areas adjacent to the Jamuna River system. Change detection analysis was carried out using Landsat 8 (OLI) images captured in 2020 by multi-criteria analysis using a geospatial fuzzy expert system and state-of-the-art remote sensing technology. Normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), normalized difference water index (NDWI), distance from the river, land use and land cover (LULC), and slope and elevation were selected as criteria for this analysis. All criteria maps were standardized using fuzzy membership functions and reclassification of each criteria performed. Furthermore, expert judgments were included to rank the criteria influencing vulnerable areas based on an analytical hierarchy process (AHP) approach. Finally, a weighted overlay map was prepared for erosion vulnerability assessment from the reclassified maps. From these analyses, we found that water bodies covered 1003 km2 (10.94%), high-to-moderate erosion-prone areas were 7401.21 km2 (77.39%), marginal erosion-prone areas 1065 km2 (11.61%) and nonerosion-prone areas only 5.9 km2 (0.06%), respectively. To verify the vulnerable areas, 150 reference points of water bodies from the mainstream of the Jamuna River were taken using Google Earth Pro images captured in 2020. These points were plotted on the NDWI maps of 2020 and 1990 to verify the detection of changes in the riverbank shifts for 30-year intervals. This confirmed the bank shifted from 3 to 4 km in more than 20 points during this span of time. Our analysis also confirmed that high-to-moderately erosion-vulnerable areas fall between 3 and 7 km. Therefore, we recommend the adoption of new agricultural land use planning, considering erosion venerable areas to ensure agricultural production and livelihood security.
期刊介绍:
The Asia-Pacific Journal of Regional Science expands the frontiers of regional science through the diffusion of intrinsically developed and advanced modern, regional science methodologies throughout the Asia-Pacific region. Articles published in the journal foster progress and development of regional science through the promotion of comprehensive and interdisciplinary academic studies in relationship to research in regional science across the globe. The journal’s scope includes articles dedicated to theoretical economics, positive economics including econometrics and statistical analysis and input–output analysis, CGE, Simulation, applied economics including international economics, regional economics, industrial organization, analysis of governance and institutional issues, law and economics, migration and labor markets, spatial economics, land economics, urban economics, agricultural economics, environmental economics, behavioral economics and spatial analysis with GIS/RS data education economics, sociology including urban sociology, rural sociology, environmental sociology and educational sociology, as well as traffic engineering. The journal provides a unique platform for its research community to further develop, analyze, and resolve urgent regional and urban issues in Asia, and to further refine established research around the world in this multidisciplinary field. The journal invites original articles, proposals, and book reviews.The Asia-Pacific Journal of Regional Science is a new English-language journal that spun out of Chiikigakukenkyuu, which has a 45-year history of publishing the best Japanese research in regional science in the Japanese language and, more recently and more frequently, in English. The development of regional science as an international discipline has necessitated the need for a new publication in English. The Asia-Pacific Journal of Regional Science is a publishing vehicle for English-language contributions to the field in Japan, across the complete Asia-Pacific arena, and beyond.Content published in this journal is peer reviewed (Double Blind).