Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques
Abstract Within major city confines, floods are a major cause of worry and are mainly due to excessive urbanization encroaching on natural landscapes which would otherwise have served as areas of infiltration. The study combines the growth of urban landscape to estimate the maximum surface runoff an...
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| Format: | Article |
| Language: | English |
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Springer
2025-01-01
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| Series: | Discover Sustainability |
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| Online Access: | https://doi.org/10.1007/s43621-025-00828-3 |
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| author | Arati Reddy Nilap H. N. Rajakumara Ali Aldrees Hasan Sh. Majdi Wahaj Ahmad Khan |
| author_facet | Arati Reddy Nilap H. N. Rajakumara Ali Aldrees Hasan Sh. Majdi Wahaj Ahmad Khan |
| author_sort | Arati Reddy Nilap |
| collection | DOAJ |
| description | Abstract Within major city confines, floods are a major cause of worry and are mainly due to excessive urbanization encroaching on natural landscapes which would otherwise have served as areas of infiltration. The study combines the growth of urban landscape to estimate the maximum surface runoff and aimed to quantify this runoff generated and peak discharge for better urban management practices. These past five decades, the area experienced erratic expansion along with various changes in its land classification, resulting in several flood events in various parts. Runoff estimation was made using Curve Number method for the watershed. Annual rainfall deviation from mean saw an increase by 16% on an average in the past decade, with more than a 100% deviation from mean in 2017. Topographical maps generated to study the changes contributing to flood situations show a 90% increase in concretization over the past two decades and more than 50% reduction in the amount of natural vegetative cover in that same time period. Statistical analysis shows a good fit of the selected model for runoff estimation and well correlated variables. The model satisfactorily predicted runoff from the simulated data analysis with evaluation criteria NSE = 0.9945, MAE = 5.4121, r = 0.9975, R2 = 0.9949, RMSE = 6.8117 and PBias = 1.1436. The results revealed a steady increase in yearly runoff, due to topographical changes and increase in precipitation intensity over time. The study suggests intervention efforts be targeted spatially to ensure suitable flood-control structures and systems. |
| format | Article |
| id | doaj-art-b85793d4827941cc87b8449083605ef3 |
| institution | Kabale University |
| issn | 2662-9984 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Springer |
| record_format | Article |
| series | Discover Sustainability |
| spelling | doaj-art-b85793d4827941cc87b8449083605ef32025-01-19T12:05:00ZengSpringerDiscover Sustainability2662-99842025-01-016112210.1007/s43621-025-00828-3Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniquesArati Reddy Nilap0H. N. Rajakumara1Ali Aldrees2Hasan Sh. Majdi3Wahaj Ahmad Khan4Research Scholar, Department of Civil Engineering, BMS Institute of Technology and ManagementAffiliated to Visvesvaraya Technological UniversityDepartment of Civil Engineering, College of Engineering, Prince Sattam Bin Abdulaziz UniversityDepartment of Chemical Engineering and Petroleum Industries, Al-Mustaqbal University CollegeSchool of Civil Engineering & Architecture, Institute of Technology, Dire-Dawa UniversityAbstract Within major city confines, floods are a major cause of worry and are mainly due to excessive urbanization encroaching on natural landscapes which would otherwise have served as areas of infiltration. The study combines the growth of urban landscape to estimate the maximum surface runoff and aimed to quantify this runoff generated and peak discharge for better urban management practices. These past five decades, the area experienced erratic expansion along with various changes in its land classification, resulting in several flood events in various parts. Runoff estimation was made using Curve Number method for the watershed. Annual rainfall deviation from mean saw an increase by 16% on an average in the past decade, with more than a 100% deviation from mean in 2017. Topographical maps generated to study the changes contributing to flood situations show a 90% increase in concretization over the past two decades and more than 50% reduction in the amount of natural vegetative cover in that same time period. Statistical analysis shows a good fit of the selected model for runoff estimation and well correlated variables. The model satisfactorily predicted runoff from the simulated data analysis with evaluation criteria NSE = 0.9945, MAE = 5.4121, r = 0.9975, R2 = 0.9949, RMSE = 6.8117 and PBias = 1.1436. The results revealed a steady increase in yearly runoff, due to topographical changes and increase in precipitation intensity over time. The study suggests intervention efforts be targeted spatially to ensure suitable flood-control structures and systems.https://doi.org/10.1007/s43621-025-00828-3UrbanizationFloodsSurface runoffCurve numberLand use and land cover |
| spellingShingle | Arati Reddy Nilap H. N. Rajakumara Ali Aldrees Hasan Sh. Majdi Wahaj Ahmad Khan Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques Discover Sustainability Urbanization Floods Surface runoff Curve number Land use and land cover |
| title | Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques |
| title_full | Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques |
| title_fullStr | Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques |
| title_full_unstemmed | Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques |
| title_short | Storm water runoff studies in built-up watershed areas using curve number and remote sensing techniques |
| title_sort | storm water runoff studies in built up watershed areas using curve number and remote sensing techniques |
| topic | Urbanization Floods Surface runoff Curve number Land use and land cover |
| url | https://doi.org/10.1007/s43621-025-00828-3 |
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