Deriving Future Rainfall Depth-Duration-Frequency Curves from Hourly Regional Climate Projections and Simple Scaling in Sicily DOI Creative Commons

Gaetano Buonacera,

Nunziarita Palazzolo, Antonino Cancelliere

и другие.

Water Resources Management, Год журнала: 2025, Номер unknown

Опубликована: Апрель 23, 2025

Язык: Английский

Urban stormwater resilience: Global insights and strategies for climate adaptation DOI Creative Commons
Mohammad Fereshtehpour, Mohammad Reza Najafi

Urban Climate, Год журнала: 2025, Номер 59, С. 102290 - 102290

Опубликована: Янв. 16, 2025

Язык: Английский

Процитировано

2

A Nonstationary Daily and Hourly Analysis of the Extreme Rainfall Frequency Considering Climate Teleconnection in Coastal Cities of the United States DOI Creative Commons
Lei Yan, Yuhan Zhang, Mengjie Zhang

и другие.

Atmosphere, Год журнала: 2025, Номер 16(1), С. 75 - 75

Опубликована: Янв. 11, 2025

The nonstationarity of extreme precipitation is now well established in the presence climate change and low-frequency variability. Consequently, implications for urban flooding, which there are not long flooding records, need to be understood better. vulnerability especially high coastal cities, where flat terrain impervious cover present an additional challenge. In this paper, we estimate time-varying probability distributions hourly daily using Generalized Additive Model Location Scale Shape (GAMLSS), employing different indices, such as Atlantic Multi-Decadal Oscillation (AMO), El Niño 3.4 SST Index (ENSO), Pacific Decadal (PDO), Western Hemisphere Warm Pool (WHWP) other covariates. Applications selected cities USA considered. Overall, AMO, PDO WHWP dominant factors influencing rainfall. nonstationary model outperforms stationary 92% cases during fitting period. However, terms its predictive performance over next 5 years, ST achieves a higher log-likelihood 86% cases. design rainfall areas considered, whether corresponds structural or duration contract financial instrument risk securitization. opportunity use these probabilistic models adaptive flood management city context discussed.

Язык: Английский

Процитировано

1

Updating the intensity-duration-frequency curves in major Canadian cities under changing climate using CMIP5 and CMIP6 model projections DOI

Vincent Crévolin,

Elmira Hassanzadeh, Sarah‐Claude Bourdeau‐Goulet

и другие.

Sustainable Cities and Society, Год журнала: 2023, Номер 92, С. 104473 - 104473

Опубликована: Фев. 16, 2023

Язык: Английский

Процитировано

23

Climate change effects on rainfall extreme value distribution: the role of skewness DOI
Davide Luciano De Luca, Elena Ridolfi, Fabio Russo

и другие.

Journal of Hydrology, Год журнала: 2024, Номер 634, С. 130958 - 130958

Опубликована: Фев. 28, 2024

Язык: Английский

Процитировано

9

Scaling Properties of Rainfall as a Basis for Intensity–Duration–Frequency Relationships and Their Spatial Distribution in Catalunya, NE Spain DOI Open Access
M. del Carmen Casas Castillo, Alba Llabrés‐Brustenga, Raúl Rodríguez Solá

и другие.

Climate, Год журнала: 2025, Номер 13(2), С. 37 - 37

Опубликована: Фев. 8, 2025

The spatial distribution of rainfall intensity–duration–frequency (IDF) values, essential for hydrological applications, were estimated Catalunya, Spain. From a larger database managed by the Meteorological Service Catalunya and after rigorous quality control, 163 high-quality daily series spanning from 1942 to 2016, with an average length 39.8 years approximately one station per 200 km2, selected. A monofractal downscaling methodology was applied derive intensities sub-daily durations using reference 24 h duration as basis, followed interpolations on 1 km × grid. scaling parameter values have been found be higher in northwestern mountainous areas, influenced Atlantic climate, lower central–western driest zones. general negative gradient observed toward coastline, reflecting increasing influence Mediterranean Sea. IDF results are presented maps, providing intensity–frequency estimates between hour day, return periods 2 years, uncertainty below 12% 200-year period, shorter periods. These findings highlight need capture variations urban planning, flood climate resilience efforts.

Язык: Английский

Процитировано

1

Assessment of the impact of climate change on urban flooding: A case study of Beijing, China DOI Creative Commons

Xingchen Ding,

Weihong Liao, Xiaohui Lei

и другие.

Journal of Water and Climate Change, Год журнала: 2022, Номер 13(10), С. 3692 - 3715

Опубликована: Окт. 1, 2022

Abstract Global climate change and rapid urbanization increase the risk of urban flooding, especially in China. Climate ‘heat island effect’ have increased frequency extreme precipitation. Affected by backwardness drainage facilities lack capacity, many cities experienced large-scale waterlogging low-lying areas, ocean-like phenomena appear cities. The public infrastructure was damaged caused a lot economic losses. Therefore, it is important to investigate adaptability systems future changing environment. Sixth International Coupled Model Intercomparison Project (CMIP6) Storm Water Management (SWMM) were used quantify impact on Beijing's under different rainstorm scenarios for 40 years. quantile delta mapping method daily precipitation based (DFQDM) proposed correct model which proved be feasible. After annual index are corrected, percent bias (PBIAS) significantly reduced. PBIAS corrected all controlled within 6%. accuracy CanESM5 best. total flood volume (TFV) node increases with aggravation change. TFV SSP5-8.5 SSP2-4.5 45.43 20.8% 100-year return period, respectively, more than 94% conduits reached maximum capacity periods. low development (LID) installed, improvement effect outflow smaller period significant, decreasing about 50%. LID can effectively reduce overflow system. results this study provide suggestions reconstruction system management Beijing future.

Язык: Английский

Процитировано

25

Urban Flood Risk Assessment through the Integration of Natural and Human Resilience Based on Machine Learning Models DOI Creative Commons
Wenting Zhang, Bin Hu, Yongzhi Liu

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(14), С. 3678 - 3678

Опубликована: Июль 23, 2023

Flood risk assessment and mapping are considered essential tools for the improvement of flood management. This research aims to construct a more comprehensive framework by emphasizing factors related human resilience integrating them with meteorological geographical factors. Moreover, two ensemble learning models, namely voting stacking, which utilize heterogeneous learners, were employed in this study, their prediction performance was compared that traditional machine including support vector machine, random forest, multilayer perceptron, gradient boosting decision tree. The six models trained tested using sample database constructed from historical events Hefei, China. results demonstrated following findings: (1) RF model exhibited highest accuracy, while SVR underestimated extent extremely high-risk areas. stacking very-high-risk It should be noted methods may not superior those base upon they built. (2) predicted areas within study area predominantly clustered low-lying regions along rivers, aligning distribution hazardous observed inundation events. (3) is worth noting factor distance pumping stations has second most significant driving influence after DEM (Digital Elevation Model). underscores importance considering expands empirical evidence ability deepens our understanding potential mechanisms influencing urban risk.

Язык: Английский

Процитировано

15

Development of Experimental Low-Cost Rain Gauges and their Evaluation During a High Intensity Storm Event DOI Creative Commons

N. A. Dervos,

Evangelos Baltas

Environmental Processes, Год журнала: 2024, Номер 11(1)

Опубликована: Фев. 1, 2024

Abstract The measurement of rainfall via ground sensors is fundamental in a variety hydrological applications, including rainfall-runoff simulations, basin water balance and flood forecasting. tipping bucket rain gauge (TBR) constitutes the most common type automatic for intensity. objective this work development low-cost reliable gauges, their data logger, which could be installed at remote, rural areas, order to supplement with limited or non-existing network stations. To achieve target, two experimental TBRs diameters 20 cm (RG20) 28 (RG28) were developed. Electronic boards Arduino UNO Raspberry Pi used logger. measurements RG20 RG28 compared those high quality ARG100 daily non-recording gauge. cyclone Daniel on 06-09-2023 caused an intermittent storm event city Athens, Greece, was measured by all three purposes evaluation. results showed that variations between lower than 6%, while about 10% during few time intervals return period estimated 43, 59 45 years durations 10, 30 min, respectively.

Язык: Английский

Процитировано

6

Quantifying the urbanization and climate change-induced impact on changing patterns of rainfall Intensity-Duration-Frequency via nonstationary models DOI
Pengcheng Xu, Dong Wang, Yuankun Wang

и другие.

Urban Climate, Год журнала: 2024, Номер 55, С. 101990 - 101990

Опубликована: Май 1, 2024

Язык: Английский

Процитировано

6

Flood Mitigation and Water Resource Preservation: Hydrodynamic and SWMM Simulations of nature-based Solutions under Climate Change DOI
Maelaynayn El Baida, Mimoun Chourak, Farid Boushaba

и другие.

Water Resources Management, Год журнала: 2024, Номер unknown

Опубликована: Ноя. 18, 2024

Язык: Английский

Процитировано

6