Assessment of Critical Environmental Risk Zones Around Wetlands in Colombo, Sri Lanka, Using Satellite Remote Sensing and Multi-criteria Decision Tools
Bibliographic Data
| ID | 20404703 |
|---|---|
| Authors | M D K L Gunathilaka (0000-0001-7406-2800, Yunnan University), L Manawadu (0000-0002-4672-5344, University of Colombo), Dinuke Munasinghe (0000-0001-7504-0910, University of Alabama), Devanmini Halwatura (0000-0002-0135-4690, University of Colombo, corresponding author) |
| Year | 2024 |
| Volume | 15 |
| Issue | 2 |
| Pages | 273-297 |
| Publication date | 2024-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environment and Urbanization Asia (JOURNAL) |
| Journal identifiers | ISSN: 0975-4253 • E-ISSN: 0976-3546 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/09754253241281949 |
| OpenAlex | W4404325935 |
| Language | EN |
| References cited | 30 |
Colombo, Sri Lanka’s commercial capital, is recognized as one of the first 18 global sites that were awarded the Ramsar Wetland City accreditation, and is a prime example of the intersection between urbanization and wetland conservation. Thus, this study aims to conduct an environmental risk assessment that can provide insights into the changes in biophysical properties driven by urbanization over the 2000–2020 period. The study used Geographical Information Systems and a remote sensing approach to assess critical environmental risk zones around urban freshwater lakes in the Colombo district of Sri Lanka, including Thalangama, an environmental protection area experiencing sub-urbanization. Satellite data (2000–2020) were employed, and spectral indices, including NDVI, NDBI, NDWI, NDMI, RVI and LST, were calculated. Intersecting areas with multiple risk factors were determined, and distances from these zones to lakes were calculated to generate spatially explicit risk maps using inverse distance weighting. The building density has consistently increased from 2000 to 2020 in all three sites, with ‘very high’ density areas expanding notably. NDVI reveals a gradual increase in ‘very high’ categories until 2015. Plant-water stress analysis shows significant water stress in 2015, and water body areas have decreased after 2010 in all the sites. Multi-criteria assessment identifies critical environmental risk zones around urban lakes, indicating high vulnerability to environmental damage and degradation. Overall, the study emphasizes the importance of leveraging data and risk analysis to inform decision-making processes in environmental management. By doing so, policymakers can enhance the effectiveness of conservation measures and promote the long-term sustainability of natural resources
Climate change · Environmental planning · Environmental resource management · Geography · Geospatial analysis · Inverse distance weighting · Multivariate interpolation · Normalized Difference Vegetation Index · Remote sensing · Urbanization · Water resource management · Wetland · Environmental Science · Flood Risk Assessment and Management · Land Use and Ecosystem Services · Remote Sensing in Agriculture · Ecology
The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features
Modification of normalised difference water index (NDWI) to enhance open water features in remotely sensed imagery
Use of normalized difference built-up index in automatically mapping urban areas from TM imagery
Red and photographic infrared linear combinations for monitoring vegetation
Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery
Application of Satellite Remote Sensing and Dapsi(W)R(M) Framework as a Tool to Assess Land Use Impacts on Urban Lakes in Sri Lanka
Can rapid urbanization be sustainable? The case of Saudi Arabian cities
Assessing the effects of the new-type urbanization policy on rural settlement evolution using a multi-agent model
| Citation velocity | historical |
|---|---|
| Highly cited | No |