Hydrological Modeling of Stream Drainage Basins: A Case Study on the Magyaregregy Experimental Catchment in Hungary DOI Open Access
Mirjana Horvat, Zoltan Horvat, Fruzsina Majer

et al.

Water, Journal Year: 2024, Volume and Issue: 16(24), P. 3629 - 3629

Published: Dec. 17, 2024

This paper presents the field measurements, observations, and numerical simulations conducted for a case study of Magyaregregy experimental catchment in Hungary. Field measurements included determination surface runoff infiltration intensity on an plot hydrograph that assessed ratio between subsurface runoff. Soil moisture both during experiments throughout catchments gave valuable information regarding this critical parameter. A digital terrain model aforementioned allowed establishment using HEC-HMS 4.3 process. Although calibration process was straightforward, considerable difficulties were encountered validation. While procedure appropriate values most calibrated parameters, it did not provide proper initial conditions. As possible solution, validation period preceded by simulation relatively long time duration to gain Finally, hydrological model’s reproduced measured base flow, as well maximum discharges. Furthermore, use composite-corrected radar data precipitation proved be somewhat unreliable. supports principle from remote sensing (e.g., data) should used with utmost care deliberation input models.

Language: Английский

Flood analysis using HEC-RAS 1D model for the delta of Brahmani river, Odisha, India DOI

Padminee Samal,

Prakash Chandra Swain,

Sandeep Samantaray

et al.

Natural Hazards, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 18, 2025

Language: Английский

Citations

1
Assessing Flood Vulnerability in Nigeria: A Model-Based Evaluation DOI Open Access
Monsur Adewara, Olasunkanmi Olusola Olapeju,

Adewale Adedokun

et al.

Hydrology, Journal Year: 2025, Volume and Issue: 13(1), P. 62 - 76

Published: Feb. 26, 2025

Several attempts to achieve the Sustainable Development Goals (SDGs) 7 & 13 such as ensuring environmental sustainability, fighting effects of climate change, have been adopted address yearly flood event in different states across country. Despite these efforts, threat flooding is taking on a dimension yearly. Because similarities complexity factors country, this study adopts integration Hydrologic Engineering Centre’s Geospatial Modelling System (HEC-GeoHMS) for modelling and mapping using Abeokuta its adjoining hydrological catchments case study. The were delineated into 24 sub basins (to make it easier identify areas landscape that are most sensitive or susceptible flood) their properties extracted from 10 m Digital Elevation Model area. Rainfall January 2020 December 2023 discharge data Ogun-Osun River basin Authority (OORBDA) entered develop meteorological model. resulting model was then calibrated by optimizing parameters thereafter validated. Three statistical evaluation criteria used validation showed there good simulation between observed estimated values (REp= -0.24%, REv = 0.02%, NSE=88.16%, R<sup>2</sup>= 0.732). Python regression analysis corroborated outcome modelled characteristics area, thus, demonstrating catchments’ diverse landscape, coverage climatic conditions contributors disasters.

Language: Английский

Citations

0
A Critical Appraisal on Various Hydrological and Hydrodynamic Models DOI
Chander Kant, Ray Singh Meena, Sudhir Kumar Singh

et al.

Water Conservation Science and Engineering, Journal Year: 2025, Volume and Issue: 10(1)

Published: March 10, 2025

Language: Английский

Citations

0
Exploring the Socio-Environmental Regulation of Water—A Systematic Review of Sustainable Watershed Management DOI Open Access
Felipe Sáez Ardura, Roberto Matías Parra-Salazar, Arturo Vallejos-Romero

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1588 - 1588

Published: Feb. 14, 2025

This article presents a systematic review of sustainable watershed management at the international level. Based on risk regulation approach, this approaches specific gaps in literature related to relevant issues outlining freshwater resources socio-environmental issue, especially regards its sociological dimensions: organizational capabilities agents involved regulatory efforts, issue-implicit challenges, and effort-generated risks. The study identifies reflexive components institutions, outlines deployment processes normative components, explores modalities for addressing change complexity field. A corpus 64 articles published Web Science (WoS) Scopus databases between 2021 2024 was analyzed, following findings are demonstrated: (1) requirements emerge across three dimensions due factors, with need broad-ranging coordination capacities socio-technical improvements highlighted, (2) while high political–technical exhibited by field study, significant challenges persist, complicating watersheds, (3) decision-making based risks is deemed feasible within enabling advancements techno-scientific socio-political areas, although achieving considered challenging. It concluded that can be better understood when risk-based approach used as an explanatory framework, particularly priority areas addressing—and regulating—the global local dilemmas governing water resources. As has been scarcely examined from perspective, series potential research avenues substantial scope faced social sciences. Socio-environmental should rigorously analyzed future studies through innovative approaches, issue prioritized.

Language: Английский

Citations

0
Risk Assessment and Spatial Zoning of Rainstorm and Flood Hazards in Mountainous Cities Using the Random Forest Algorithm and the SCS Model DOI Creative Commons
Zixin Xie, Bo Shu

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 453 - 453

Published: Feb. 22, 2025

China has a vast land area, with mountains accounting for 1/3 of the country’s area. Flooding in these areas can cause significant damage to human life and property. Therefore, rainstorms flood hazards Huangshan City should be accurately assessed effectively managed improve urban resilience, promote green low-carbon development, ensure socio-economic stability. Through Random Forest (RF) algorithm Soil Conservation Service (SCS) model, this study aimed assess demarcate rainstorm hazard risks City. Specifically, Driving forces-Pressure-State-Impact-Response (DPSIR)’s framework was applied examine main influencing factors. Subsequently, RF employed select 11 major indicators establish comprehensive risk assessment model integrating four factors: hazard, exposure, vulnerability, adaptive capacity. Additionally, zoning map generated by combining SCS Geographic Information System (GIS)-based spatial analysis. The results reveal heterogeneity risks, higher concentrated low-lying fringes. In addition, precipitation during season economic losses were identified as key contributors risk. Furthermore, certain have intensified ongoing urbanization. evaluation validated 7 July 2020 event, suggesting that District, Huizhou northern Shexian County suffered most severe losses. This confirms reliability model. Finally, targeted disaster prevention mitigation strategies proposed City, particularly context carbon neutrality urbanization, providing decision-making support emergency management. These recommendations will contribute enhancing city’s resilience promoting sustainable development.

Language: Английский

Citations

0
Integrating numerical models with deep learning techniques for flood risk assessment DOI Creative Commons

Fatemeh Kordi-Karimabadi,

Ehsan Fadaei-Kermani, Mahnaz Ghaeini‐Hessaroeyeh

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 14, 2025

Language: Английский

Citations

0
Comparative geospatial and statistical analysis of DEM-derived geomorphic indices from multiple datasets for assessing relative active tectonics DOI Creative Commons
Ahmed Gad, Heba El-Bagoury, Alaa Ahmed

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2025, Volume and Issue: 16(1)

Published: May 6, 2025

Language: Английский

Citations

0
Advanced floodplain mapping: HEC-RAS and ArcGIS pro application on Swat River DOI Creative Commons
Muhammad Ihsan Ullah,

Komal Sahab Qureshi,

Ateeq ur Rauf

et al.

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(3), P. 245 - 258

Published: April 3, 2024

Abstract Floods stand out as one of the most devastating environmental threats worldwide resulting in tragic loss human lives and significant damage to our essential infrastructure. This study focuses on creating floodplain maps for two important reaches Swat River Khyber Pakhtunkhwa Province Pakistan, namely, Kalam–Khwazakhela Khwazakhela–Chakdara reaches. The Advanced Land Observing Satellite Phased Array Type L-band Synthetic Aperture Radar (ALOS PALSAR) 12.5 m Digital Elevation Model (DEM) data has been used this purpose. Furthermore, sensitivity flood model was assessed Flood 2022 event, considering simulated depth, extent, velocity relation various terrains derived from 12.5-m ALOS PALSAR data. To estimate extreme flows different return periods (2, 5, 10, 25, 50, 100 years), Log Normal (LN), Pearson III (LP3), Generalized Extreme Value (GEV) distributions were employed frequency analysis. GEV distribution turned be best fit modeling both Chakdara Khwazakhela gauge stations. predict levels peak floods identified through analysis specific Hydrologic Engineering Center's Analysis System (HEC-RAS) 2D simulations performed. Subsequently outcomes create using Geographic Information Professional (ArcGIS Pro) software customized periods. revealed a linear increase inundation area with longer developed hold importance governing authorities region. These serve tools implementing proactive measures against potential infrastructure damage, thereby protecting economic losses enhancing public safety. research effectively combines hydrological geospatial technology offering practical solutions managing risks. It serves valuable guide making well-informed decisions promoting sustainable development flood-prone areas.

Language: Английский

Citations

1
Urban development assessment in flood hazard areas using integrated HEC-RAS, SCS, and FAHP models: a case study of Pardisan Settlement, Qom DOI

Abolfazl Faraji Monfared,

Mehdi Ahmadi, Khabat Derafshi

et al.

Modeling Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 10(4), P. 5103 - 5120

Published: June 1, 2024

Language: Английский

Citations

1
Flood risk assessment of the Garita River in the urban zone of San Luis Potosí City, by hydrodynamic modeling DOI Creative Commons

Katya Onchi-Ramos,

Clemente Rodríguez-Cuevas, Carlos Couder-Castañeda

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 10, 2024

Abstract Rapid and uncontrolled urban growth land use changes in watersheds worldwide have led to increased surface runoff within metropolitan areas, coupled with climate change, creating a risk for residents during the rainy season. The city of San Luis Potosí is no exception this phenomenon. One affected watercourse Garita Stream, which flows inside near urbanization. It essential analyze effects sprawl on stream based historical precipitation data town. Hydrological topographical information were required conduct research. hydrological study basin involved analyzing region’s geomorphology climatological data. For stream’s topography, aerial photogrammetry using an unmanned Vehicle (UAV) Global Navigation Satellite System (GNSS) equipment was employed topographic surveys area. To find out when would overflow areas are most likely flood, numerical modeling done 1D, 2D, 3D programs like SWMM5 (Storm Water Management Model), HEC-RAS (Hydrologic Engineering Center’s River Analysis System), EDFC Explorer (Environmental Fluid Dynamics Code). These models simulated different return periods their correlation current flooding events recorded area, thereby further proposing solutions mitigate issues. By conducting these simulations results, can be suggested address problems area flood at various caused by Stream.

Language: Английский

Citations

1