Simulation of Flood Hazard Risk for Naban Reservoir Safety Management: A Comprehensive Assessment DOI Creative Commons
Cheng Zhong,

Rongcai Liang,

Wenle Qin

et al.

Acadlore Transactions on Geosciences, Journal Year: 2023, Volume and Issue: 2(3), P. 132 - 144

Published: Aug. 2, 2023

Safety of reservoir dams remains pivotal for societal stability, underscoring the significance efficient emergency management strategies. This investigation focuses on Naban Reservoir, where BREACH model was employed to simulate potential dam failures. By integrating one-dimensional and two-dimensional modeling approaches, a mathematical representation developed scrutinize flood progression in adjacent region. Correlation coefficients devised ranged from 0.945 0.986, with relative errors -13.72%, -0.23%, -17.41%, -15.44%. Comparisons indicated that observed flow rates align closely simulated rates. Notably, significant land slippages surrounding were not detected, implying an enhanced downstream surge due upstream collapse is unlikely. Nevertheless, breach main could result catastrophic outcomes zones, particularly affecting infrastructure communities along Shangsi Zaimiao Basins. Critical observation such as Siyang Town Shangshi County, Nakan Ningming identified, emphasizing need precautionary measures safeguard human lives, property, stability. research has paved way novel early warning system tailored ensuring timely predictions alerts. Such advancements augment disaster prevention capacity, offering valuable insights mitigating risks small medium-sized reservoirs.

Language: Английский

Comparison of Hydrological Platforms in Assessing Rainfall-Runoff Behavior in a Mediterranean Watershed of Northern Morocco DOI Open Access
Mourad Aqnouy, Mohamed Ahmed, Gebiaw T. Ayele

et al.

Water, Journal Year: 2023, Volume and Issue: 15(3), P. 447 - 447

Published: Jan. 22, 2023

This research evaluates the applicability of different types hydrological models to simulate discharge behavior scenarios in a northern Moroccan watershed, Oued Laou Watershed (OLW). In this context, an improved understanding runoff mechanisms through modeling OLW can assist hazard risk management and facilitate effective planning water resources. For that end, multitude were used perform very efficient modelling, comparative approach was adopted. Comparison allowed determination potential sources uncertainty modelling subhumid watershed. Three (ATelier Hydrologique Spatialisé (ATHYS), Hydrologic Modeling System (HEC-HMS), Soil Water Assessment Tool (SWAT)) with characteristics employed for continuous approach. The calibrated validated using observed daily rainfall streamflow data 4 years (2004–2008) 3 (2009–2011), respectively. multi-criteria model comparison (R², NSE, RSR, PBIAS) showed all three are capable reproducing flows. SWAT performed well over both periods (NSE = 0.76 calibration), improvement validation 0.84). A good agreement also HEC-HMS outputs, approximately stable NSE 0.77 0.78 calibration phases, ATHYS value 0.67 during calibration, decrease 0.06 towards period. other performance criteria confirmed these findings. Additionally, results suggest semi-distributed conceptual particularly suitable given their physical heterogeneity. Generally, integration may be resources assessment OLW.

Language: Английский

Citations

20

Impact of land use changes on waterlogging disasters in the small urban watershed of Hangzhou DOI

Rikun Wen,

Liu Yang, Hexian Jin

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 57, P. 102178 - 102178

Published: Jan. 13, 2025

Language: Английский

Citations

0

Early Flood Monitoring and Forecasting System Using a Hybrid Machine Learning-Based Approach DOI Creative Commons
Eleni-Ioanna Koutsovili, Ourania Tzoraki, Nicolaos Theodossiou

et al.

ISPRS International Journal of Geo-Information, Journal Year: 2023, Volume and Issue: 12(11), P. 464 - 464

Published: Nov. 14, 2023

The occurrence of flash floods in urban catchments within the Mediterranean climate zone has witnessed a substantial rise due to change, underscoring urgent need for early-warning systems. This paper examines implementation an early flood monitoring and forecasting system (EMFS) predict critical overflow level small stream on Lesvos Island, Greece, which history severe incidents requiring rapid response. is supported by network telemetric stations that measure meteorological hydrometric parameters real time, with time step accuracy 15 min. collected data are fed into physical Hydrologic Engineering Center’s Modeling System (HEC-HMS), simulates stream’s discharge. Considering HEC-HMS’s estimated outflow other hydro-meteorological parameters, EMFS uses long short-term memory (LSTM) neural networks enhance prediction. In particular, LSTMs employed analyze real-time from make multi-step predictions water level. Hydrological series utilized train validate LSTM models leading times min, 30 45 1 h. By combining obtained HEC-HMS those LSTMs, can produce accurate forecasts. results indicate proposed methodology yields trustworthy behavior enhancing overall resilience area against floods.

Language: Английский

Citations

10

Assessing the Impact of flooding from 1994 to 2024 on Catchment Areas in South Eastern Part of Bangladesh Using Geospatial Techniques Inciting Knowledge from Recent Flood of August 2024 DOI Creative Commons
Md. Mostafizur Rahman

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 15, 2025

Abstract Flooding is a recurrent and significant natural disaster in Bangladesh, particularly affecting the Chattogram Division, which vulnerable due to its geographical features seasonal monsoon rainfall. This study assesses impacts of flooding on catchment areas Division from 1994 2024, utilizing advanced Geographic Information System (GIS) techniques remote sensing data. The analysis reveals troubling trend, with flood-affected increasing substantially 40% 64% driven by factors such as extreme rainfall, upstream water management Dumboor Dam, changes local land use urbanization deforestation. While previous research has addressed broader implications South Asia, there remains notable gap localized studies that focus specifically dynamics Division. By integrating rainfall data satellite imagery, this provides novel insights into relationship between hydrological flood risk, employing linear regression model demonstrates strong correlation rainfalls flooding. findings highlight socio-economic repercussions, including disruptions agriculture, infrastructure, livelihoods, districts like Noakhali, Feni, Comilla. underscores urgent need for effective strategies contributes valuable information inform future policies aimed at enhancing resilience flood-prone areas.

Language: Английский

Citations

0

Assessment of the Feasibility of Implementing a Flash Flood Early Warning System in a Small Catchment Area DOI Open Access
Mariusz Starzec, Sabina Kordana, Daniel Słyś

et al.

Sustainability, Journal Year: 2023, Volume and Issue: 15(10), P. 8316 - 8316

Published: May 19, 2023

The occurrence of flash floods is an increasingly common phenomenon. In many parts the world, it associated with increase in intensity rainfall. Reducing financial and social losses caused by local urban possible through use hydrodynamic modeling real-time flood forecasting. purpose this study to assess ability technique simulate flow a small catchment area determine time remaining reach set warning danger levels. SWMM 5.2 QuantumGIS software were used study. analysis showed that for considered short length main stream (1612 m), implementing countermeasures evacuating population 70 120 min. also confirmed short-term rainfall requires less depth high stormwater elevations than long-term addition, relationship was noted between preceding height forecast time. There unfavorable reduction forecasting as increased its duration shortened. case analyzed catchment, maximum elevation (Esw,max) generated characterized highest final phase their duration. Similarly, longest (tf) rainfall, which phase. results can significantly assist governments when developing management plan trying implement practices minimize negative effects floods.

Language: Английский

Citations

8

Integration of UAV Digital Surface Model and HEC-HMS Hydrological Model System in iRIC Hydrological Simulation—A Case Study of Wu River DOI Creative Commons

Yen-Po Huang,

Hui-Ping Tsai,

Li-Chi Chiang

et al.

Drones, Journal Year: 2024, Volume and Issue: 8(5), P. 178 - 178

Published: April 30, 2024

This research investigates flood susceptibility in the mid- and downstream areas of Taiwan’s Wu River, historically prone to flooding central Taiwan. The study integrates Hydrologic Engineering Center—Hydrologic Modeling System (HEC-HMS) for flow simulations with unmanned aerial vehicle (UAV)-derived digital surface models (DSMs) at varying resolutions. Flood simulations, executed through International River Interface Cooperative (iRIC), assess depths using diverse DSM Notably, HEC-HMS exhibit commendable Nash–Sutcliffe efficiency (NSE) exceeding 0.88 a peak percentage error (PEPF) below 5%, indicating excellent suitability. In iRIC optimal results emerge 2 m resolution UAV-DSM. Furthermore, incorporates rainfall data different recurrence intervals presenting an alternative modeling approach. underscores efficacy integrating UAV-DSM into enabling precise depth assessment risk analysis control management.

Language: Английский

Citations

3

Assessing Potential Effects of Nature-Based Solutions (NBS) on Water Ecosystem Service in the Interurban Micro-Watershed Río Torres, Costa Rica DOI Open Access

Aurorita Espinal-Giron,

Laura Benegas Negri,

Christian Brenes

et al.

Forests, Journal Year: 2023, Volume and Issue: 14(5), P. 937 - 937

Published: May 3, 2023

The implementation of green infrastructure (GI) as Nature-Based Solutions (NBS) generates positive effects on the water ecosystem service in an urban context. Practices such bioretention cells, roofs, rain gardens, permeable pavements, and infiltration trenches contribute to treating large volumes runoff providing safe spaces for populations living highly urbanized areas. With aim simulate these effects, a hydrological modeling was carried out using i-Tree Hydro Plus model, which quantified generated from precipitation events effective transformations cope with runoff. Eight scenarios were developed: baseline scenario, five future infrastructure, scenario increased tree coverage, urbanization. Our hypothesis is that NBS would reduce increase flow. analysis feasibility implementing modeled infrastructures through consultation local stakeholders micro-watershed. We found cells decrease by 5%, roofs 4%, gardens pavements 4.5%, 7.5% compared where accounts 32% balance flows. coverage had similar behavior indicating efforts this alternative generate limited impact reduction urbanization, impermeable flow increases up 78%, floods. Implementing be feasible since type initiative included agenda many regulatory instruments planning Costa Rica.

Language: Английский

Citations

7

Quantifying flood risk using InVEST-UFRM model and mitigation strategies: the case of Adama City, Ethiopia DOI
Bikila Merga Leta, Dagnachew Adugna

Modeling Earth Systems and Environment, Journal Year: 2024, Volume and Issue: 10(3), P. 3257 - 3277

Published: Feb. 26, 2024

Language: Английский

Citations

1

REMOTE SENSING AND GIS-DRIVEN MODEL FOR FLOOD SUSCEPTIBILITY ASSESSMENT IN THE UPPER SOLO RIVER WATERSHED DOI Open Access
Jumadi Jumadi, Dewi Novita Sari,

Umrotun Umrotun

et al.

Geographia Technica, Journal Year: 2024, Volume and Issue: 19(2/2024), P. 33 - 45

Published: May 27, 2024

This study aims to develop an expedited flood susceptibility model with remote sensing data that can be effectively utilized for a large catchment area.We apply the Upper Solo River Watershed in Indonesia.The incorporates hydrological attributes of watershed obtained from data, including elevation, slope, flow accumulation, proximity rivers, rainfall, drainage density, topographic wetness index, land use cover, normalized difference vegetation soil moisture, and surface curvature.The criteria are generated using datasets such as The Shuttle Radar Topography Mission (SRTM), Sentinel 2 Multispectral Instrument, Global Precipitation Measurement (GPM) v6, NASA-USDA Enhanced SMAP Soil Moisture Data.Through utilizing GIS analytic tools, this has discovered it is possible create regions cost-efficiently.Our indicates areas surrounding Surakarta City, most populated city watershed, susceptible.Therefore, government community should increase their capacity cope potential disaster.

Language: Английский

Citations

1

Research on Runoff Management of Sponge Cities under Urban Expansion DOI Open Access
Hongliang Sun,

Shangkun Wu,

Qiyu Dong

et al.

Water, Journal Year: 2024, Volume and Issue: 16(15), P. 2103 - 2103

Published: July 25, 2024

To integrate the sponge city concept into urban development, we propose an analytical approach for runoff volume control, considering expansion. Using Changchun City as a case study and historical land-use data, simulated prediction of City’s structure 2035 change with GeoSOS-FLUS platform. We calculated storage volumes Low Impact Development (LID) designs using 2019 land surface data. The objective is 80% control rate by 2035. Through Monte Carlo simulation sensitivity analysis, assessed impact various types on LID calculations. Findings show that industrial significantly influences volumes. This highlights need precise surveys properties composition in planning more accurate analysis City. results indicate based current data may not meet long-term goals due to increased impervious surfaces coefficients during urbanization.

Language: Английский

Citations

1