Assessing future flood inundation in Nandigama through land use, land cover, and rainfall analysis
Frequent occurrences of high-intensity rainfall have made urban flooding a significant problem. In the present study, flood inundation maps were prepared for the years 2030 and 2035 based on changes in future land use and land cover (LULC) and rainfall patterns in Nandigama, located in Andhra Prades...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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IWA Publishing
2023-12-01
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| Series: | Journal of Water and Climate Change |
| Subjects: | |
| Online Access: | http://jwcc.iwaponline.com/content/14/12/4579 |
| _version_ | 1797202743911251968 |
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| author | Poli Sainath Reddy R. Bhavani |
| author_facet | Poli Sainath Reddy R. Bhavani |
| author_sort | Poli Sainath Reddy |
| collection | DOAJ |
| description | Frequent occurrences of high-intensity rainfall have made urban flooding a significant problem. In the present study, flood inundation maps were prepared for the years 2030 and 2035 based on changes in future land use and land cover (LULC) and rainfall patterns in Nandigama, located in Andhra Pradesh, India. The Hydrologic Engineering Center's Hydrologic Modelling System Hydrologic and Hydrologic Engineering Center–River Analysis System hydraulic models were used to assess future runoff and flood inundation areas for the above years. Future LULC and hydro-meteorological data were analysed and incorporated into the models. Predicted LULC maps showed a high level of agreement with actual LULC maps, as indicated by a Kappa index of 88.34%. The average peak runoff flowing out of the basin increased by 1.82%–3.43% for years 2030–2035, respectively. When considering the average inundation percentage area in Nandigama, it was found that 12.73% and 13.83% of the area flooded in both years. The study recommendations give more attention to the Nandigama flood management authority.
HIGHLIGHTS
The study assesses future flood inundation maps in Nandigama, Andhra Pradesh, India, based on changes in land use and land cover (LULC) and rainfall patterns.;
The study found that there have been significant changes in LULC in Nandigama over the years.;
The future rainfall analysis revealed that rainfall variability is distributed throughout the year, indicating a shift in seasonal patterns.; |
| first_indexed | 2024-03-08T17:44:52Z |
| format | Article |
| id | doaj.art-63a0f02996db4ce28dd5ebb9827a7830 |
| institution | Directory Open Access Journal |
| issn | 2040-2244 2408-9354 |
| language | English |
| last_indexed | 2024-04-24T08:08:18Z |
| publishDate | 2023-12-01 |
| publisher | IWA Publishing |
| record_format | Article |
| series | Journal of Water and Climate Change |
| spelling | doaj.art-63a0f02996db4ce28dd5ebb9827a78302024-04-17T08:41:08ZengIWA PublishingJournal of Water and Climate Change2040-22442408-93542023-12-0114124579459710.2166/wcc.2023.336336Assessing future flood inundation in Nandigama through land use, land cover, and rainfall analysisPoli Sainath Reddy0R. Bhavani1 Department of Civil Engineering, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh 515002, India Department of Civil Engineering, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, Andhra Pradesh 515002, India Frequent occurrences of high-intensity rainfall have made urban flooding a significant problem. In the present study, flood inundation maps were prepared for the years 2030 and 2035 based on changes in future land use and land cover (LULC) and rainfall patterns in Nandigama, located in Andhra Pradesh, India. The Hydrologic Engineering Center's Hydrologic Modelling System Hydrologic and Hydrologic Engineering Center–River Analysis System hydraulic models were used to assess future runoff and flood inundation areas for the above years. Future LULC and hydro-meteorological data were analysed and incorporated into the models. Predicted LULC maps showed a high level of agreement with actual LULC maps, as indicated by a Kappa index of 88.34%. The average peak runoff flowing out of the basin increased by 1.82%–3.43% for years 2030–2035, respectively. When considering the average inundation percentage area in Nandigama, it was found that 12.73% and 13.83% of the area flooded in both years. The study recommendations give more attention to the Nandigama flood management authority. HIGHLIGHTS The study assesses future flood inundation maps in Nandigama, Andhra Pradesh, India, based on changes in land use and land cover (LULC) and rainfall patterns.; The study found that there have been significant changes in LULC in Nandigama over the years.; The future rainfall analysis revealed that rainfall variability is distributed throughout the year, indicating a shift in seasonal patterns.;http://jwcc.iwaponline.com/content/14/12/4579floodinghec-hmshec-rasland use/land cover (lulc)nandigama |
| spellingShingle | Poli Sainath Reddy R. Bhavani Assessing future flood inundation in Nandigama through land use, land cover, and rainfall analysis Journal of Water and Climate Change flooding hec-hms hec-ras land use/land cover (lulc) nandigama |
| title | Assessing future flood inundation in Nandigama through land use, land cover, and rainfall analysis |
| title_full | Assessing future flood inundation in Nandigama through land use, land cover, and rainfall analysis |
| title_fullStr | Assessing future flood inundation in Nandigama through land use, land cover, and rainfall analysis |
| title_full_unstemmed | Assessing future flood inundation in Nandigama through land use, land cover, and rainfall analysis |
| title_short | Assessing future flood inundation in Nandigama through land use, land cover, and rainfall analysis |
| title_sort | assessing future flood inundation in nandigama through land use land cover and rainfall analysis |
| topic | flooding hec-hms hec-ras land use/land cover (lulc) nandigama |
| url | http://jwcc.iwaponline.com/content/14/12/4579 |
| work_keys_str_mv | AT polisainathreddy assessingfuturefloodinundationinnandigamathroughlanduselandcoverandrainfallanalysis AT rbhavani assessingfuturefloodinundationinnandigamathroughlanduselandcoverandrainfallanalysis |