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Bah A, Zhang H, Luo Z, Hu J, Zhang Z, Xie YL, Yang T, Chen G, Bah A. A study of land use changes and its impacts on flood inundation in the Konkoure River Basin, Republic of Guinea. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:212. [PMID: 38285189 DOI: 10.1007/s10661-024-12371-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Accepted: 01/15/2024] [Indexed: 01/30/2024]
Abstract
Due to rising land development, mitigating the negative effects of land use change is becoming a problem. Understanding how land development affects flood inundation is critical for long-term water resource management. This study evaluates the land use change in the Konkoure River Basin and its impact on flood inundation. The land use changes were assessed using Landsat image (level 1) in August 2006 and August 2021. In addition, we used GIS and remote sensing applications to assess the degree of changes that took place in the Konkoure watershed. According to the findings, 32.16% of the total area became built-up areas, and 35.51% was converted to other land uses in Konkoure watershed. Konkoure's most significant change is that 29.50% of forest area transformed into built-up areas and other land uses. The rainfall-runoff-inundation model (RRI) based inundation of the Konkoure River Basin was compared to the MODIS extent between 31 August 2006 and 30 August 2021 flood events. Flood inundation variations in the Konkoure watershed were studied in terms of inundation area, peak inundation depth, runoff volume, and the infiltration rate. As a result, the flood inundation area increased from 139.98 to 198.72 km2 and the infiltration rate decrease from 7 to 5 mm/h. Moreover, we used flow duration curves (FDCs) to fully comprehend the streamflow processes. The result indicates that the Konkoure watershed has experienced flooding partly due to land use change.
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Affiliation(s)
- Alhassane Bah
- Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China
- Non-Governmental Organization (NGO) Citizen Action for a Clean Environment (ACEP-GUINEE), Nzerekore, 400, Guinea
| | - Hongbo Zhang
- Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China.
- Key Laboratory of Water Ecology and Flow Structure Engineering for Universities in Yunnan, Kunming, 650500, People's Republic of China.
| | - Zhumei Luo
- Department of Energy and Power Engineering, Kunming University of Science and Technology, Kunming, 650093, People's Republic of China
| | - Jimin Hu
- Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China
- Key Laboratory of Water Ecology and Flow Structure Engineering for Universities in Yunnan, Kunming, 650500, People's Republic of China
| | - Zulian Zhang
- Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China
- Key Laboratory of Water Ecology and Flow Structure Engineering for Universities in Yunnan, Kunming, 650500, People's Republic of China
| | - Yang Lin Xie
- Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China
| | - Ting Yang
- Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China
| | - Guohong Chen
- Faculty of Electric Power Engineering, Kunming University of Science and Technology, Kunming, 650500, People's Republic of China
| | - Alseny Bah
- Non-Governmental Organization (NGO) Citizen Action for a Clean Environment (ACEP-GUINEE), Nzerekore, 400, Guinea
- Merchant Marine College, Shanghai Maritime University, Shanghai, 201306, People's Republic of China
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Spatial and Temporal Inversion of Land Surface Temperature along Coastal Cities in Arid Regions. REMOTE SENSING 2022. [DOI: 10.3390/rs14081893] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Climate change is undoubtedly affecting the global weather of the Earth. Rapid human civilization has mainly caused this in the last few decades. This research examined the spatial and temporal land surface temperature (LST) in the United Arab Emirates (UAE) coastal cities located in an arid region that faced massive urbanization over the last 50 years. We estimated the LST using by-products of Landsat and MODIS images covering 2000 until 2020. The assessment of LST was performed in two contexts, i.e., spatially and temporally, covering daytime vs. nighttime during the summer and winter seasons. Additionally, a supervised classification technique was adopted to extract the land use and land cover in the study area from the late 1970s until 2018. Unexpectedly, the results indicated that daytime LST in districts near the coastlines (heavily urbanized areas) are lower than the ones far away from the coast (about 9 °C). This observation represents the spatial LST inversion in the study area. Nevertheless, this difference was not observed during nighttime LST temporally, the daytime LST did not increase significantly during either summer or winter seasons. However, the nighttime LST has increased temporally by about 17% since 2000 (the temporal LST inversion). Both LST inversions could be attributed to the uniqueness of the study area, given that bare land desert was replaced by vegetation, high-rise buildings, and industrial activities. Additionally, the wind breeze blowing from the gulf might potentially contribute to cooling the coastal urban area during the daytime. Furthermore, in-depth zonal statistics were conducted to visualize the effect of land use on LST. The study observed that fully built-up areas with vegetation have lower LST than built-up areas without vegetation or a combination of sand and vegetation. The research outcomes are invaluable for decision-makers and researchers in achieving sustainable urban development.
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Abstract
Urban floods have adverse effects on the population and the economy, and they are increasing in frequency and magnitude. The State of Veracruz is the region of Mexico with the highest number of disasters, more than 50% of the total number nationwide, in the 1970–2015 period. During the 1990s, disasters in this region increased from 5 to 10 events per year, mostly in relation to intense rains and floods. This study analyzes the factors that increase the risk of urban floods in the regions: (i) the Pánuco River, (ii) the Papaloapan River, and (iii) the Coatzacoalcos River regions, combining hazard data and estimates of vulnerability factors. The 95th percentile of daily precipitation (P95) is used as a threshold of heavy rain, i.e., the natural hazard. Vulnerability is estimated in terms of the percentage of natural vegetation loss due to changes in land cover and land use in the hydrological basins and the expansion of the urban areas in the regions under study. The risk of flood was compared with records of flood events focusing on the low-frequency variations of risks and disaster activity. The trends in urban flood activity are related to the loss of natural vegetation and deterioration of the basins leading to a loss of infiltration, i.e., larger runoffs. Even when the intensity of precipitation in recent decades remains without clear trends, or shows negative tendencies in the number of intense events, the number of floods is higher mostly because of the deterioration of hydrologic basins. Therefore, the risk of flooding in the state of Veracruz is mainly related to environmental factors that result in vulnerability rather than changes in the trends of extreme precipitation activity. This result means that disaster risk reduction actions should be mainly related to rehabilitation of the basins.
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