Novel hybrid models by coupling support vector regression (SVR) with meta-heuristic algorithms (WOA and GWO) for flood susceptibility mapping

Natural Hazards, Journal Year: 2022, Volume and Issue: 114(2), P. 1247 - 1283

Published: June 15, 2022

Language: Английский

---

On the relation between antecedent basin conditions and runoff coefficient for European floods

Journal of Hydrology, Journal Year: 2023, Volume and Issue: 625, P. 130012 - 130012

Published: Aug. 21, 2023

The event runoff coefficient (i.e. the ratio between and precipitation that originated runoff) is a key factor for understanding basin response to events. Runoff depends on intensity duration but also specific geohydrology attributes (including soil type, geology, land cover, topography ) last not least, antecedent (or pre-storm) conditions (i.e., amount of water stored in different hydrological compartments, like river, groundwater, snowpack). relation pre-storm critical flood forecasting, yet, where, when how much control coefficients still an open question. Here, we tested 60620 events across 284 basins Europe. To do so, derived from proxies, namely: precipitation; surface root zone moisture models, reanalyses models ingesting satellite observations; river discharge, and, total storage anomalies. We evaluated coupling strength proxies five classes European basins, defined based use type (as indexed by Soil Conservation Service curve number CN), topography, hydrology long-term climate their ability explain stormflow volume variability. found explains relatively well volumes both small large very peak especially floods. shows distributions correlates with deep storages (such as root-zone anomalies), discharge snow equivalent. Overall, these correlations depend class. Poor are against index despite its wide community. Seasonal interannual variability exert role inducing sharp changes correlation season climate. These results increase our coefficient. This will aid model calibration data assimilation. Furthermore, findings can help us better interpret future projections Europe expected long short-term climatic drivers.

Language: Английский

---

Assessment of Rainfall Frequencies from Global Precipitation Datasets

Atmosphere, Journal Year: 2025, Volume and Issue: 16(1), P. 66 - 66

Published: Jan. 9, 2025

Rainfall is of vital importance to terrestrial ecosystems and its intermittent characteristics have a profound impact on plant growth, soil biogeochemical cycles, water resource management. frequency, one the key statistics rainfall intermittency, has received relatively little research attention. Leveraging scale-dependent relationships in frequencies using various global precipitation datasets, we found most grid-scale are large do not converge field-scale as grid size decreases. Specifically, these differences high 41.8% for Global Precipitation Climatology Project (GPCP) 74.8% fifth-generation European Centre Medium-Range Weather Forecasts Reanalysis (ERA5), which much larger than mean rates but can be partially corrected by redefining wet days with higher thresholds. These across regions world should interpreted inherent biases associated model structure or algorithms used deriving data cannot reduced simply increasing resolutions. Such could propagate into hydrological process influence calibration rainfall-runoff process, nonlinear land surface modeling. We, therefore, call urgent this topic avoid misunderstandings intermittency ensure proper application fields.

Language: Английский

---

The impact of the spatiotemporal structure of rainfall on flood response over a piedmont urban basin: An approach coupling machine learning and hydrologic modeling

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133160 - 133160

Published: March 1, 2025

Language: Английский

---

Flood Risk Assessments for Small Catchments Under Climate Change—How Can Scotland Improve Its Policy for Enhanced Flood Resilience and Preparedness

Journal of Flood Risk Management, Journal Year: 2025, Volume and Issue: 18(1)

Published: March 1, 2025

ABSTRACT Flood risk assessments (FRAs) are essential tools in Scottish planning policy to identify and minimise flood new applications. Most FRAs Scotland performed (very) small (< 50km 2 ) < 100km catchments, particularly vulnerable increases rainfall intensity due climate change. This study provides a historical overview of the literature used as guidance then focuses on their application smaller addressing three areas: understanding different physical processes representation within guidelines how these applied practice. Our results highlight need move beyond simple mathematical hydrological methods for FRAs. We find that catchments' not adequately represented current methods, leading higher biases uncertainties modelling. When practice, techniques often unconventionally fulfilment established guidelines. Finally, change science implementation into also needs refinement, with regulations lacking sound scientific basis, catchments. underscore testing innovative solutions found academia utilisation additional data provide improved under

Language: Английский

---

Copula-based assessment of flood susceptibility in the island of Cyprus via stochastic multicriteria decision analysis

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 979, P. 179469 - 179469

Published: April 22, 2025

Language: Английский

---

Runoff estimation using the SCS-CN method and GIS: a case study in the Wuseta watershed, upper blue Nile Basin, Ethiopia

Discover Water, Journal Year: 2025, Volume and Issue: 5(1)

Published: April 24, 2025

Language: Английский

---

Determination of Temporary Hubs Locations Along a River in Case of Flood

Water, Journal Year: 2025, Volume and Issue: 17(9), P. 1268 - 1268

Published: April 24, 2025

Due to global climate change, the frequency and intensity of floods will be increasing in decades come. Under these conditions, there is an urgent need develop such relatively simple robust models methods, which help logistical preparatory crisis management work case this natural disaster. In phase, integrated complex command centers hubs play essential role. It open-ended question: how do we determine optimal location hubs, find compromise between their radius supply vulnerability? The current article presents a fast method position minimizing vulnerability, cases when no chance control flood river (no dam), or artificial barrier, preventing flow water (dam scenario). Based on system equations, applying Gumbel distribution maximal levels various years, offers numerical examples prove simplicity practical applicability developed. This approach can decision support system, based AI. paper concludes with policy implications.

Language: Английский

---

Using the present to estimate the future: A simplified approach for the quantification of climate change effects on urban flooding by scenario analysis

Hydrological Processes, Journal Year: 2021, Volume and Issue: 35(12)

Published: Nov. 25, 2021

Abstract Understanding and modelling pluvial flood patterns is pivotal for the estimation of impacts in urban areas, especially a climate change perspective. However, under conditions poses several challenges. On one hand, identification collection data suitable flood‐related evaluations requires consistent computational scientific effort. other large difficulties can arise reproduction rainfall‐runoff transformation process cases when only little information about subsurface processes known. In this perspective, simplified approach proposed to address challenges regarding quantitative effects on flooding real case applications. The defined as “bottom‐up” because not included modelling, but it invoked interpretation results. words, challenge faced work development strategy that expeditious, does require simulations future rainfall scenarios, current conditions, thus reducing overall effort; flexible, results be easily updated once new data, scenarios or methods become available, without need additional simulations. To simulate applications, tested scenario analysis, where different return periods hyetograph shapes are used input inundation Naples, Italy. support public private stakeholders, such land administrators water systems managers; moreover, represents valuable effective basis risk communication strategies.

Language: Английский

---

Scaling of Floods With Geomorphologic Characteristics and Precipitation Variability Across the Conterminous United States

Water Resources Research, Journal Year: 2023, Volume and Issue: 59(2)

Published: Jan. 31, 2023

Abstract Accurate flood risk assessment requires a comprehensive understanding of sensitivity to regional drivers and climate factors. This paper presents the scaling floods (duration, peak, volume) with geomorphologic characteristics basin (i.e., drainage area, slope, elevation) precipitation patterns (rainfall accumulation, variability). Long‐term daily streamflow observations over 20th early 21st centuries from Hydro‐Climatic Data Network streamgages across conterminous United States are used create event database based on their stage information. Antecedent rainfall accumulation variability corresponding these computed using Global Historical Climatology data set. Two Bayesian models developed, spatial organization exponents is investigated. The baseline model quantifies characteristics. dynamic antecedent distribution which further conditioned Results show that small low‐elevation basins have stronger response in amplifying peaks, while high‐elevation steeper lower for duration volume. demonstrate there significant variations rates, largest rates up 40% 4.5% duration, 64% 44% 98% volume found Northeast, Coastal Southeast, Northwest intensifying variability, respectively. study advances predictions by better informing attributes context dynamical land‐atmosphere perturbations.

Language: Английский

---