
Water Resources Management, Год журнала: 2025, Номер unknown
Опубликована: Апрель 23, 2025
Язык: Английский
Water Resources Management, Год журнала: 2025, Номер unknown
Опубликована: Апрель 23, 2025
Язык: Английский
Urban Climate, Год журнала: 2025, Номер 59, С. 102290 - 102290
Опубликована: Янв. 16, 2025
Язык: Английский
Процитировано
2Atmosphere, 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
1Sustainable Cities and Society, Год журнала: 2023, Номер 92, С. 104473 - 104473
Опубликована: Фев. 16, 2023
Язык: Английский
Процитировано
23Journal of Hydrology, Год журнала: 2024, Номер 634, С. 130958 - 130958
Опубликована: Фев. 28, 2024
Язык: Английский
Процитировано
9Climate, 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
1Journal 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
25Remote 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
15Environmental 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
6Urban Climate, Год журнала: 2024, Номер 55, С. 101990 - 101990
Опубликована: Май 1, 2024
Язык: Английский
Процитировано
6Water Resources Management, Год журнала: 2024, Номер unknown
Опубликована: Ноя. 18, 2024
Язык: Английский
Процитировано
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