Development of a Wireless Monitoring System to Monitor River Water Levels in Real Time DOI Open Access

Siti Norshafika Mohd Zain,

Muhammad Rusydi Muhammad Razif,

Dalila Misman

et al.

International Journal of Integrated Engineering, Journal Year: 2023, Volume and Issue: 15(03)

Published: July 31, 2023

This wireless monitoring system is developed to alert and warn the resident regarding upcoming flood. Due floods that occur every year, especially during monsoon season, loss damage done by this disaster are uncontrollable. When water level rise-up above safe ground, it may hit communication substation, as well power tower. In most cases, many residents not with their surroundings because there no can remind them issues will arise. By preparing themselves for nature disaster, could endanger destroy property. Thus, project focus on a real-time river flood prediction purposes which utilize three devices connected together in centralized system. having system, people be notified about current situation of near via Internet Things (IoT) such Blynk application. ESP32 ESP32-Cam used main microcontroller control The sensor detect at TF Mini Lidar ultrasonic detection rain gauge. ESP32-cam monitor surrounding area river. combination these systems predict occurrence.

Language: Английский

Urban flood risk assessment under rapid urbanization in Zhengzhou City, China DOI Creative Commons
Guoyi Li, Jiahong Liu, Weiwei Shao

et al.

Regional Sustainability, Journal Year: 2023, Volume and Issue: 4(3), P. 332 - 348

Published: Sept. 1, 2023

With accelerated urbanization and climate change, urban flooding is becoming more serious. Flood risk assessment an important task for flood management, so it crucial to map the spatial temporal distribution of risk. This paper proposed method that takes into account influences hazard, vulnerability, exposure, by constructing a multi-index framework based on Geographic Information System (GIS). To determine weight values index factors, we used analytic hierarchy process (AHP). Also, plotted maps in Zhengzhou City 2000, 2005, 2010, 2015, 2020. The analysis results showed that, proportion very high zone was 1.362%, 5.270%, 4.936%, 12.151%, 24.236% 2020, respectively. It observed area zones trend increasing expanding, which Dengfeng City, Xinzheng Xinmi Zhongmu County had fastest growth rate most obvious increase. has been expanding with development urbanization. adapted will have good adaptability other research areas, its can provide scientific reference management personnel. In future, accuracy be further improved promoting basic data reasonably determining factors. zoning better reflect basis early warning prevention drainage.

Language: Английский

Citations

31

Evaluation of Various Resolution DEMs in Flood Risk Assessment and Practical Rules for Flood Mapping in Data-Scarce Geospatial Areas: A Case Study in Thessaly, Greece DOI Creative Commons
Nikolaos Xafoulis, Yiannis Kontos, Evangelia Farsirotou

et al.

Hydrology, Journal Year: 2023, Volume and Issue: 10(4), P. 91 - 91

Published: April 12, 2023

Floods are lethal and destructive natural hazards. The Mediterranean, including Greece, has recently experienced many flood events (e.g., Medicanes Zorbas Ianos), while climate change results in more frequent intense events. Accurate mapping river areas is crucial for risk assessment, planning mitigation measures, protecting existing infrastructure, sustainable planning. accuracy of affected by all simplifying assumptions concerning the conceptual numerical model implemented quality geospatial data used (Digital Terrain Models—DTMs). current research investigates modelling sensitivity against using following DTM resolutions a mountainous sub-basin Thessaly’s Water District (Greece): (a) open 5 m (b) 2 from Hellenic Cadastre (HC) (c) 0.05 an Unmanned Aerial Vehicle (UAV) topographical mission. RAS-Mapper HEC-RAS 1D (steady state) hydraulic simulation regarding 1000-year return period. Results include maps cross section-specific flow characteristics. They analysed graphical map-based empirical fashion, whereas statistical analysis based on correlation matrix sophisticated Machine Learning interpretation nonlinear relationships between input–output variables support particularise conclusions quantifiable manner.

Language: Английский

Citations

19

Assessing social vulnerability to flood hazards: A case study of Sarawak's divisions DOI Creative Commons
Ismallianto Isia, Tony Hadibarata, Ratih Indri Hapsari

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 97, P. 104052 - 104052

Published: Oct. 1, 2023

Social vulnerability assessment to flood hazard depends upon multiple factors that can vary across the different indicators. However, there is limited knowledge on specific indicators suitable for assessing social Sarawak. This study systematically analyzed important components of and mapped them by weight 12 divisions. Indices focusing two dimensions (physical exposure resistances) were identified based literature. Data these indices then collected through relevant government agencies. Components assessed significantly contributing Principal Component Analysis (PCA). An entropy method was used Vulnerability estimated Iyengar Sudarshan methodology data produce a map proposed Index (SVI). The results indicated divisions Kuching, Miri, Sibu Bintulu more vulnerable (score over than 0.81) those in other Greater mainly due high extreme events less adaptive capacity resistance, which affect agricultural production negatively, combination with population density communities. clearly shows areas are susceptible, indicating government's adaptation measures should depending available resources, urgency, means survival needed achieve resilience against climate change.

Language: Английский

Citations

15

Flood Risk Mapping and Community Adaptation Strategies in New Capital City Location DOI Open Access

Rosalina Kumalawati,

Ellyn Normelani,

Ghinia Anastasia Muhtar

et al.

IOP Conference Series Earth and Environmental Science, Journal Year: 2025, Volume and Issue: 1438(1), P. 012007 - 012007

Published: Jan. 1, 2025

Abstract Flooding in New Capital City construction site East Kalimantan is one of the most frequent and severe disasters. The frequency impact floods are so that it very important to carry out research on flood disaster risk mapping community adaptation strategies it. There two objectives; (1) develop a map, (2) knowing new capital city. In order ascertain both objectives, interviews were conducted conjunction with administration questionnaires members population all areas Kalimantan, which serves as host region for development project. sample was selected using stratified random sampling method. employs quantitative descriptive analysis approach, utilising statistical tools examine strategies. While satellite imagery used map remote sensing techniques analyse risk. Flood show Province has high floods. Meanwhile, deal including physical such drainage adaptation, water absorption improvement, etc non-physical education socialization, etc. results existing can be by relevant officials creating programs policies like evacuation routes minimise negative impacts minimised.

Language: Английский

Citations

0

A GIS-based multi-criteria decision analysis of urban flood risk DOI
Wenping Xu,

Xiaoqin Guo,

David Proverbs

et al.

International Journal of Building Pathology and Adaptation, Journal Year: 2025, Volume and Issue: unknown

Published: March 4, 2025

Purpose Flooding is China’s most frequent and catastrophic natural hazard, causing extensive damage. The aim of this study to develop a comprehensive assessment urban flood risk in the Hubei Province China, focusing on following three issues: (1) What are factors that cause floods? (2) To what extent do these affect management? (3) How build an effective system can be used reduce risk? Design/methodology/approach This combines expert opinion evidence from literature identify indicators across four dimensions: disaster risk, susceptibility, exposure prevention mitigation. Criteria Importance Through Intercriteria Correlation (CRITIC) Grey Relational Analysis (RA)-based Technique for Order Preference by Similarity Ideal Solution (TOPSIS) decision-making approach were applied calculate weighting model risk. Then, ArcGIS software visualizes levels spatial distribution cities Province; uncertainty analysis verified method accuracy. Findings results show there significant differences level Province, with such as Tianmen, Qianjiang, Xiantao Ezhou being at high while Shiyan, Xiangyang, Shennongjia, Yichang, Wuhan Huanggang lower Originality/value innovative combining CRITIC-GRA-TOPSIS reduces presence subjective bias found many other frameworks. Regional data extraction enhance result reliability, supporting long-term planning. Overall, methodological developed provides advanced, highly efficient visualization deepens understanding mechanisms more broadly supports development resilient cities.

Language: Английский

Citations

0

Enhanced large-scale flood mapping using data-efficient unsupervised framework based on morphological active contour model and single synthetic aperture radar image DOI

Rasheeda Soudagar,

Arnab Roy Chowdhury,

Alok Bhardwaj

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 380, P. 124836 - 124836

Published: March 12, 2025

Language: Английский

Citations

0

A new approach to evaluating urban flood risk: the case of Guangdong Province in China DOI
Wenping Xu,

Pil Soo Han,

David Proverbs

et al.

Urban Water Journal, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 17

Published: March 14, 2025

Language: Английский

Citations

0

Flood early warning for early action—evacuation and transfer: case of Shouchang Town, Zhejiang Province, China DOI Creative Commons

Wellington W. Musyoka,

Jun Wang, Anthony Mwanthi

et al.

Frontiers in Water, Journal Year: 2025, Volume and Issue: 7

Published: April 8, 2025

Flooding in riverine basins remains a recurring disaster, often leading to extensive property destruction and, extreme scenarios, loss of lives. In recent years, the Shouchang River Basin Zhejiang Province, China, has experienced increasing flood risks, driven by combination weather events, urban expansion, and alterations natural land use. Managing these events is becoming increasingly crucial minimize impact on vulnerable communities critical infrastructure. This study develops an integrated framework for forecasting hydrodynamic floodplain mapping using HEC-HMS HEC-RAS 6.5 over 10 km stretch upstream Town. The hydrological model (HEC-HMS) simulates rainfall-runoff processes across five sub-basins, observed rainfall streamflow data from four gauging stations, capture key flow dynamics. Based local plans Town, total 28 villages are situated within exposure areas sub-basin 5. Out only 22 rescue centers found be unaffected thus effective sheltering victims. Four centers, Yongjiaqiao, Henanli, Ximen, Datanbian would need relocation higher grounds, including adding new resettlement sites modifying transfer routes. Simulations show that, while defenses protect most regions under flows 1,200 m3/s, levees along Shili Shouchngjiang Ecology Leisure Greenway breach once this threshold surpassed. highlights review existing evacuation analysis system, given that some could exposed associated risks.

Language: Английский

Citations

0

Rainfall Runoff and Flood Plain Inundation Modeling of the Kharkai River, India using HEC-HMS and HEC-RAS DOI Open Access
Ayushi Verma, Sujit Kumar, Prabeer Kumar Parhi

et al.

Journal of Water Management Modeling, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

A rainfall-runoff model using Hydrologic Engineering Center–Hydrologic Modeling System (HEC-HMS) was carried out for the Kharkai River of Subarnarekha Basin, India to determine magnitude runoff from a known quantity rainfall and terrain inundation. In present study, calibration validation, events October 1–20, 2017 July 12–31, 2019 were used. process calibration, computed discharge found be 1,674 cumecs against observed 1,820 cumecs, with Nash-Sutcliffe efficiency 91.78%. Whereas in 3,266 3,589 91.02%. Furthermore, generate various inundation maps River, an SRTM-DEM 30 m x resolution, resolution DEM used simulation process. The results study showed that 5, 20, 50, 100, 500-year return period floods determined Gumbel’s method are 3,647.791 m3/s, 5,797.717 7,160.188 8,181.168 10,540.5 respectively, corresponding areas 20.98 km2, 33.65 39.89 44.07 56.65 respectively.

Language: Английский

Citations

0

Using satellite-based precipitation for developing intense rainfall equations for ungauged areas of the Southern Bahia Mesoregion DOI Creative Commons

R. Garrido,

Andrea Sousa Fontes, Samara Fernanda da Silva

et al.

RBRH, Journal Year: 2025, Volume and Issue: 30

Published: Jan. 1, 2025

ABSTRACT Satellite-based precipitation products can be an important alternative for developing IDF equations in ungauged regions, search more flood-resilient hydraulic systems. This study evaluated estimates from the product CHIRPS Southern Bahia Mesoregion. The statistical metrics used were Percent Bias (PBIAS), Root Mean Square Error (RMSE), Absolute (MAE), and Nash-Sutcliffe Efficiency coefficient (NSE). results indicate that does not perform satisfactorily its original state, but it provide reasonable if data bias is corrected. Based on a linear regression model, correction method was proposed, which applied areas of studied region, showing better performance than provided by software Pluvio 2.1 (RMSE 45.27% lower; MAE 46.31% lower).

Language: Английский

Citations

0