Journal of Hydrology, Год журнала: 2025, Номер 655, С. 132915 - 132915
Опубликована: Фев. 23, 2025
Язык: Английский
The Science of The Total Environment, Год журнала: 2024, Номер 947, С. 174290 - 174290
Опубликована: Июль 3, 2024
Язык: Английский
Процитировано
6
Land, Год журнала: 2024, Номер 13(1), С. 53 - 53
Опубликована: Янв. 2, 2024
Flooding is one of the world’s most devastating natural disasters, and effects global climate change further intensify its impact. In context flood management, urban resilience emerges as a promising perspective. While existing assessment systems predominantly encompass economic, social, ecological, infrastructural factors, they often neglect crucial dimensions like social equity human awareness. We aimed to assess considering have developed an indicator system called 3-Dimentional Disaster Urban Flood Resilience Index System (3D-UFRIS) address issue. also introduced media data explore use big in assessment. Scrapy was used collect AHP-EWM calculate results. Our findings reveal layered distribution Zhengzhou, categorized into five levels: highest, higher, medium, lower, lowest resilience. Notably, highest areas, covering mere 3.06% total area, were primarily situated Jinshui district, characterized by strong economic activity, high public awareness, history waterlogging incidents. Conversely, encompassing largest portion at 36%, identified Zhongmou County, Xinzheng, Shangjie District, marked lower awareness limited medical accessibility. This study presents pioneering approach comprehending disaster resilience, offering valuable insights mitigating flood-related risks enhancing planning strategies.
Язык: Английский
Процитировано
5
Journal of Building Engineering, Год журнала: 2024, Номер 92, С. 109775 - 109775
Опубликована: Май 29, 2024
Язык: Английский
Процитировано
5
International Journal of Disaster Risk Reduction, Год журнала: 2024, Номер 112, С. 104770 - 104770
Опубликована: Авг. 23, 2024
Язык: Английский
Процитировано
5
Ecological Indicators, Год журнала: 2024, Номер 167, С. 112621 - 112621
Опубликована: Сен. 16, 2024
Язык: Английский
Процитировано
5
Remote Sensing, Год журнала: 2023, Номер 15(21), С. 5246 - 5246
Опубликована: Ноя. 5, 2023
The water conservation function (WCF), as one of the most critical ecosystem services, has an important impact on ecological sustainability a region. Accurately characterizing spatiotemporal heterogeneity WCF and further exploring its driving factors are great significance for river basin management. Here, upper Yangtze River (UYRB) from 1991 to 2020 was calculated using yield module in Integrated Valuation Ecosystem Service Tradeoffs (InVEST) model. Also, we innovatively applied emerging hot spot analysis (EHSA), which could describe location pattern historical changes more accurately, investigate evolution WCF. Based Geographical Detector Model (GDM), main their interactions were revealed. results showed following: (1) UYRB experienced temporal increase at growth rate 1.48 mm/a, while remarkable differences observed across change rates sub-watersheds. (2) spatial variation gradual northwest southeast. Interestingly, Jinshajing upstream (JSJU) source area with low increasing trend (with diminishing cold spots). On contrary, downstream regions JSJU watershed intensifying spots) underwent weakening (3) Among all factors, precipitation (q = 0.701) exhibited prominent Additionally, interaction explanatory power than each factor alone, such saturated soil hydraulic conductivity 0.840). This research study is beneficial resource management provides theoretical basis restoration.
Язык: Английский
Процитировано
11
Resources Conservation and Recycling, Год журнала: 2023, Номер 200, С. 107296 - 107296
Опубликована: Ноя. 9, 2023
Язык: Английский
Процитировано
11
Land, Год журнала: 2024, Номер 13(7), С. 1088 - 1088
Опубликована: Июль 19, 2024
The impact of flooding on cities is becoming increasingly significant in the context climate change and rapid urbanization. Based analysis land use changes rainstorm waterlogging inundation scenarios Jiangqiao Town from 1980 to 2020, a scenario was conducted simulate assess disaster risk 2040 under three (a natural development scenario, Scenario ND; an economic growth EG; ecological priority EP) with return periods 10, 50, 100 years. following results were found: (1) Land factor urban caused by surface runoff depth change. In particular, resultant increase impermeable surfaces such as residential industrial decrease farmland during urbanization would lead risk. (2) Under scenarios, future exposure elements losses are consistent terms spatial distribution; 10-year 100-year periods, they manifest expansion south surroundings, especially central region study area. locations at mainly distributed southern regions Town. (3) different scenarios. years, total ND CNY 560 million, 890 1.07 billion; those EG 630 980 1.19 EP 480 750 910 million. lowest comparison. So, influence shows obvious differences among This has important reference value for decision making management flood rapidly urbanizing areas.
Язык: Английский
Процитировано
4
Journal of Materials Chemistry A, Год журнала: 2024, Номер 12(33), С. 22166 - 22179
Опубликована: Янв. 1, 2024
Based on the excellent anti-swelling behavior of polyampholyte hydrogel, a monitoring system is constructed for underwater communication and urban waterlogging pre-warning.
Язык: Английский
Процитировано
4
Smart Cities, Год журнала: 2024, Номер 7(4), С. 2110 - 2130
Опубликована: Авг. 1, 2024
This research addresses the urgent challenges posed by rapid urbanization and climate change through an integrated interdisciplinary approach combining advanced technologies with rigorous scientific exploration. The comprehensive analysis focused on Wuhan, China, spanning decades of meteorological land-use data to trace extreme trajectories reveal intricate temporal spatial patterns. Employing innovative 360° radial Fibonacci geometric growth framework, study facilitated a meticulous dissection urban morphology at granular scales, establishing model that combined fixed mobile observational techniques uncover climatic shifts transformations. Geographic information systems computational fluid dynamics were pivotal tools used explore interplay between structures their environments. These analyses elucidated nuanced impact diverse morphosectors local conditions. Furthermore, genetic algorithms harnessed distill meaningful relationships from extensive collected, optimizing arrangements enhance resilience sustainability. pioneering not only illuminates complex ecosystems but also offers transformative insights for designing smarter, more adaptable cities. findings underscore critical role green spaces in mitigating heat island effects. highlights imperative sustainable planning address multifaceted 21st century, promoting long-term environmental sustainability health, particularly context tomorrow’s climate-adaptive smart
Язык: Английский
Процитировано
4