190 related articles for article (PubMed ID: 31861677)
1. A Machine Learning Ensemble Approach Based on Random Forest and Radial Basis Function Neural Network for Risk Evaluation of Regional Flood Disaster: A Case Study of the Yangtze River Delta, China.
Chen J; Li Q; Wang H; Deng M
Int J Environ Res Public Health; 2019 Dec; 17(1):. PubMed ID: 31861677
[TBL] [Abstract][Full Text] [Related]
2. Urban flood risk warning under rapid urbanization.
Chen Y; Zhou H; Zhang H; Du G; Zhou J
Environ Res; 2015 May; 139():3-10. PubMed ID: 25769509
[TBL] [Abstract][Full Text] [Related]
3. Assessment of Supply and Demand of Regional Flood Regulation Ecosystem Services and Zoning Management in Response to Flood Disasters: A Case Study of Fujian Delta.
Tian J; Zeng S; Zeng J; Jiang F
Int J Environ Res Public Health; 2022 Dec; 20(1):. PubMed ID: 36612913
[TBL] [Abstract][Full Text] [Related]
4. Spatial and Temporal Evolutionary Characteristics and Its Influencing Factors of Economic Spatial Polarization in the Yangtze River Delta Region.
Zhu Y; Yang S; Lin J; Yin S
Int J Environ Res Public Health; 2022 Jun; 19(12):. PubMed ID: 35742246
[TBL] [Abstract][Full Text] [Related]
5. The Analysis of the Urban Sprawl Measurement System of the Yangtze River Economic Belt, Based on Deep Learning and Neural Network Algorithm.
Huang H; Wu X; Cheng X
Int J Environ Res Public Health; 2020 Jun; 17(12):. PubMed ID: 32545504
[TBL] [Abstract][Full Text] [Related]
6. Characteristics and evolution of knowledge innovation network in the Yangtze River Delta urban agglomeration--A case study of China National Knowledge Infrastructure.
Gao Y; Ye L
PLoS One; 2023; 18(4):e0283853. PubMed ID: 37083833
[TBL] [Abstract][Full Text] [Related]
7. Examining the effects of urban agglomeration polders on flood events in Qinhuai River basin, China with HEC-HMS model.
Gao Y; Yuan Y; Wang H; Schmidt AR; Wang K; Ye L
Water Sci Technol; 2017 May; 75(9-10):2130-2138. PubMed ID: 28498125
[TBL] [Abstract][Full Text] [Related]
8. Impacts of urbanization on hydrology in the Yangtze River Delta, China.
Youpeng X; Jintao X; Jinjia D; Ying C; Yixing Y; Xingqi Z
Water Sci Technol; 2010; 62(6):1221-9. PubMed ID: 20861534
[TBL] [Abstract][Full Text] [Related]
9. Research on Urban Spatial Connection and Network Structure of Urban Agglomeration in Yangtze River Delta-Based on the Perspective of Information Flow.
Lin Q; Xiang M; Zhang L; Yao J; Wei C; Ye S; Shao H
Int J Environ Res Public Health; 2021 Sep; 18(19):. PubMed ID: 34639588
[TBL] [Abstract][Full Text] [Related]
10. Regional Risk Evaluation of Flood Disasters for the Trunk-Highway in Shaanxi, China.
Qi HL; Tian WP; Li JC
Int J Environ Res Public Health; 2015 Oct; 12(11):13861-70. PubMed ID: 26528994
[TBL] [Abstract][Full Text] [Related]
11. Impact of Land Use/Cover Change on Yangtze River Delta Urban Agglomeration Ecosystem Services Value: Temporal-Spatial Patterns and Cold/Hot Spots Ecosystem Services Value Change Brought by Urbanization.
Li Z; Sun Z; Tian Y; Zhong J; Yang W
Int J Environ Res Public Health; 2019 Jan; 16(1):. PubMed ID: 30621215
[TBL] [Abstract][Full Text] [Related]
12. Industrial co-agglomeration, Internet utilization, and the development of green and low-carbon cycle - based on the empirical study of 41 cities in the Yangtze River Delta of China.
Tian S; Meng Y; Li X; Si L; Yin Y
Environ Sci Pollut Res Int; 2023 May; 30(25):66867-66896. PubMed ID: 37099102
[TBL] [Abstract][Full Text] [Related]
13. Towards better flood risk management: Assessing flood risk and investigating the potential mechanism based on machine learning models.
Chen J; Huang G; Chen W
J Environ Manage; 2021 Sep; 293():112810. PubMed ID: 34029980
[TBL] [Abstract][Full Text] [Related]
14. Study on the response analysis of LID hydrological process to rainfall pattern based on framework for dynamic simulation of urban floods.
Liu C; Xie T; Yu Q; Niu C; Sun Y; Xu Y; Luo Q; Hu C
J Environ Manage; 2024 Feb; 351():119953. PubMed ID: 38181681
[TBL] [Abstract][Full Text] [Related]
15. An Assessment of Chinese Pathways to Implement the UN Sustainable Development Goal-11 (SDG-11)-A Case Study of the Yangtze River Delta Urban Agglomeration.
Xu X; Gao J; Zhang Z; Fu J
Int J Environ Res Public Health; 2019 Jun; 16(13):. PubMed ID: 31261629
[TBL] [Abstract][Full Text] [Related]
16. How Can Cities Respond to Flood Disaster Risks under Multi-Scenario Simulation? A Case Study of Xiamen, China.
Shi Y; Zhai G; Zhou S; Lu Y; Chen W; Deng J
Int J Environ Res Public Health; 2019 Feb; 16(4):. PubMed ID: 30791558
[TBL] [Abstract][Full Text] [Related]
17. [Assessment of schistosomiasis transmission risk along the Yangtze River basin after the flood disaster in 2020].
Zhang LJ; Zhu HQ; Wang Q; Lü S; Xu J; Li SZ
Zhongguo Xue Xi Chong Bing Fang Zhi Za Zhi; 2020 Oct; 32(5):464-468. PubMed ID: 33185056
[TBL] [Abstract][Full Text] [Related]
18. Assessing the Potential Impact of Land Use on Carbon Storage Driven by Economic Growth: A Case Study in Yangtze River Delta Urban Agglomeration.
Qiao W; Guan W; Huang X
Int J Environ Res Public Health; 2021 Nov; 18(22):. PubMed ID: 34831677
[TBL] [Abstract][Full Text] [Related]
19. Urban Flood Risk Assessment Based on Dynamic Population Distribution and Fuzzy Comprehensive Evaluation.
Chen H; Xu Z; Liu Y; Huang Y; Yang F
Int J Environ Res Public Health; 2022 Dec; 19(24):. PubMed ID: 36554287
[TBL] [Abstract][Full Text] [Related]
20. Forecasting of compound ocean-fluvial floods using machine learning.
Moradian S; AghaKouchak A; Gharbia S; Broderick C; Olbert AI
J Environ Manage; 2024 Jul; 364():121295. PubMed ID: 38875991
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
