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Cao X, Sun Y, Wang Y, Wang Y, Cheng X, Zhang W, Zong J, Wang R. Coastal erosion and flooding risk assessment based on grid scale: A case study of six coastal metropolitan areas. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174393. [PMID: 38960161 DOI: 10.1016/j.scitotenv.2024.174393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/28/2024] [Accepted: 06/28/2024] [Indexed: 07/05/2024]
Abstract
Coastal areas, situated at the critical juncture of sea-land interaction, are confronted with significant challenges from coastal erosion and flooding. It is imperative to evaluate these risks and offer scientific guidance to foster regional sustainable development. This article developed a coastal risk assessment model based on grid scale, integrating both coastal exposure and socio-ecological environment. Fourteen indicators were selected, aiming to offer a systematic approach for estimating and comparing disaster risks in coastal areas. This risk assessment model was applied to Shanghai, New York, Sydney, San Francisco, Randstad, and Tokyo metropolitan areas. The results indicate: (1) Accounting for the protective role of habitat types like mangroves and the distance attenuation effect offered a more precise representation of hazard situation; (2) The integration of the Game Theory weighting method with both subjective Analytic Hierarchy Process and objective CRITIC weighting enhanced the scientific validity and rationality of the results by minimizing deviations between subjective and objective weights; (3) Shanghai exhibited the highest average hazard and vulnerability, San Francisco had the lowest average hazard and Sydney had the lowest average vulnerability; In terms of comprehensive risk, Shanghai possessed the highest average risk, while Sydney presented the lowest. The proposed model framework is designed to swiftly identify high-risk zones, providing detailed information references for local governments to devise efficacious risk management and prevention strategies.
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Affiliation(s)
- Xuyue Cao
- Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China; Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China
| | - Yonghua Sun
- Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China; Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China.
| | - Yanzhao Wang
- Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China; Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China
| | - Yihan Wang
- Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China; Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China
| | - Xinglu Cheng
- Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China; Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China
| | - Wangkuan Zhang
- Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China; Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China
| | - JinKun Zong
- Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China; Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China
| | - Ruozeng Wang
- Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China; College of Resources Environment and Tourism, Capital Normal University, Beijing 100048, China; State Key Laboratory of Urban Environmental Processes and Digital Simulation, Capital Normal University, Beijing 100048, China; Key Laboratory of 3D Information Acquisition and Application, Ministry of Education, Beijing 100048, China
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Lu HL, Qiu J, Li MJ, Zuo HM, Li JL, Hu BX, Li FF. Temporal and spatial variations in the sub-daily precipitation structure over the Qinghai-Tibet Plateau (QTP). THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:170153. [PMID: 38232821 DOI: 10.1016/j.scitotenv.2024.170153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 01/19/2024]
Abstract
Precipitation is a vital component of the global atmospheric and hydrological cycles and influencing the distribution of water resources. Even subtle changes in precipitation can significantly impact ecosystems, energy cycles, agricultural production, and food security. Therefore, understanding the changes in the precipitation structure under climate change is essential. The Qinghai-Tibet Plateau (QTP) is a region sensitive to global climate change and profoundly impacts the atmospheric water cycle in Asia and even globally, rendering it a hot topic in climate change research in recent years. Few studies have examined on the sub-daily scale precipitation structure over the QTP. In this paper, the characteristics of sub-daily precipitation on the QTP were systematically investigated from multiple perspectives, including the concentration index, skewness (the third standardized moment of a distribution), and kurtosis (the fourth standardized moment of a distribution). The results indicated that the frequency of moderate-intensity nighttime precipitation on the QTP generally increased, and the analysis of both the concentration index and kurtosis (skewness) suggested that extreme precipitation was more frequent in the southwestern foothills of the QTP. Furthermore, potential high-risk areas for natural disasters were identified on the QTP, and found that the southeastern part of the plateau constituted a potential hotspot area for flood disasters. Given the complexity of climate change, a comprehensive analysis of the spatiotemporal characteristics of diurnal and nighttime precipitation changes on the QTP could help reveal the regularity of precipitation changes. This has significant implications for forecasting, warning, disaster preparedness, and mitigation efforts on the QTP.
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Affiliation(s)
- Hou-Liang Lu
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China; College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China
| | - Jun Qiu
- College of Water Sciences, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China
| | - Meng-Jia Li
- College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China
| | - Hui-Min Zuo
- College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China
| | - Jin-Li Li
- Shandong Survey and Design Institute of Water Conservancy, Jinan 250013, China
| | - Bill X Hu
- School of Water Conservancy and Environment, University of Jinan, Jinan 250022, China
| | - Fang-Fang Li
- College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China; College of Water and Architectural Engineering, Shihezi University, Shihezi 832003, China.
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