Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka
Wetlands play a vital role in ecosystems. They help in flood accumulation, water purification, groundwater recharge, shoreline stabilization, provision of habitats for flora and fauna, and facilitation of recreation activities. Although wetlands are hot spots of biodiversity, they are one of the mos...
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| Format: | Article |
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MDPI AG
2023-04-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/23/7/3680 |
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| author | Madhawa Herath Tharaka Jayathilaka Hazi Mohammad Azamathulla Vishwanadham Mandala Namal Rathnayake Upaka Rathnayake |
| author_facet | Madhawa Herath Tharaka Jayathilaka Hazi Mohammad Azamathulla Vishwanadham Mandala Namal Rathnayake Upaka Rathnayake |
| author_sort | Madhawa Herath |
| collection | DOAJ |
| description | Wetlands play a vital role in ecosystems. They help in flood accumulation, water purification, groundwater recharge, shoreline stabilization, provision of habitats for flora and fauna, and facilitation of recreation activities. Although wetlands are hot spots of biodiversity, they are one of the most endangered ecosystems on the Earth. This is not only due to anthropogenic activities but also due to changing climate. Many studies can be found in the literature to understand the water levels of wetlands with respect to the climate; however, there is a lack of identification of the major meteorological parameters affecting the water levels, which are much localized. Therefore, this study, for the first time in Sri Lanka, was carried out to understand the most important parameters affecting the water depth of the Colombo flood detention basin. The temporal behavior of water level fluctuations was tested among various combinations of hydro-meteorological parameters with the help of Artificial Neural Networks (ANN). As expected, rainfall was found to be the most impacting parameter; however, apart from that, some interesting combinations of meteorological parameters were found as the second layer of impacting parameters. The rainfall–nighttime relative humidity, rainfall–evaporation, daytime relative humidity–evaporation, and rainfall–nighttime relative humidity–evaporation combinations were highly impactful toward the water level fluctuations. The findings of this study help to sustainably manage the available wetlands in Colombo, Sri Lanka. In addition, the study emphasizes the importance of high-resolution on-site data availability for higher prediction accuracy. |
| first_indexed | 2024-03-11T05:24:43Z |
| format | Article |
| id | doaj.art-591342917f6247d2872889930d9a7c06 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-11T05:24:43Z |
| publishDate | 2023-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-591342917f6247d2872889930d9a7c062023-11-17T17:36:10ZengMDPI AGSensors1424-82202023-04-01237368010.3390/s23073680Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri LankaMadhawa Herath0Tharaka Jayathilaka1Hazi Mohammad Azamathulla2Vishwanadham Mandala3Namal Rathnayake4Upaka Rathnayake5Department of Mechanical Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe 10115, Sri LankaDepartment of Civil Engineering, Faculty of Engineering, Sri Lanka Institute of Information Technology, Malabe 10115, Sri LankaDepartment of Civil Engineering, Faculty of Engineering, University of the West Indies, St. Augustine P.O. Box 331310, Trinidad and TobagoDepartment of computer science, Indiana University, Bloomington, IN 47405, USASchool of Systems Engineering, Kochi University of Technology, Tosayamada 782-8502, JapanDepartment of Civil Engineering and Construction, Faculty of Engineering and Design, Atlantic Technological University, F91 YW50 Sligo, IrelandWetlands play a vital role in ecosystems. They help in flood accumulation, water purification, groundwater recharge, shoreline stabilization, provision of habitats for flora and fauna, and facilitation of recreation activities. Although wetlands are hot spots of biodiversity, they are one of the most endangered ecosystems on the Earth. This is not only due to anthropogenic activities but also due to changing climate. Many studies can be found in the literature to understand the water levels of wetlands with respect to the climate; however, there is a lack of identification of the major meteorological parameters affecting the water levels, which are much localized. Therefore, this study, for the first time in Sri Lanka, was carried out to understand the most important parameters affecting the water depth of the Colombo flood detention basin. The temporal behavior of water level fluctuations was tested among various combinations of hydro-meteorological parameters with the help of Artificial Neural Networks (ANN). As expected, rainfall was found to be the most impacting parameter; however, apart from that, some interesting combinations of meteorological parameters were found as the second layer of impacting parameters. The rainfall–nighttime relative humidity, rainfall–evaporation, daytime relative humidity–evaporation, and rainfall–nighttime relative humidity–evaporation combinations were highly impactful toward the water level fluctuations. The findings of this study help to sustainably manage the available wetlands in Colombo, Sri Lanka. In addition, the study emphasizes the importance of high-resolution on-site data availability for higher prediction accuracy.https://www.mdpi.com/1424-8220/23/7/3680artificial neural networks (ANN)Colombo flood detention basinmeteorological parameterssensitivity analysiswater levelswetlands |
| spellingShingle | Madhawa Herath Tharaka Jayathilaka Hazi Mohammad Azamathulla Vishwanadham Mandala Namal Rathnayake Upaka Rathnayake Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka Sensors artificial neural networks (ANN) Colombo flood detention basin meteorological parameters sensitivity analysis water levels wetlands |
| title | Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka |
| title_full | Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka |
| title_fullStr | Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka |
| title_full_unstemmed | Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka |
| title_short | Sensitivity Analysis of Parameters Affecting Wetland Water Levels: A Study of Flood Detention Basin, Colombo, Sri Lanka |
| title_sort | sensitivity analysis of parameters affecting wetland water levels a study of flood detention basin colombo sri lanka |
| topic | artificial neural networks (ANN) Colombo flood detention basin meteorological parameters sensitivity analysis water levels wetlands |
| url | https://www.mdpi.com/1424-8220/23/7/3680 |
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