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14 articles for “Flood Forecasting”
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Early Warning Flood Forecasting Using Long Short-Term Memory Network
Abstract: AbstractFlooding is the natural disaster which leads to massive loss of life and property as well. India faces this situation every year and millions of people are being displaced due to loss of shelter. Early warning of flood disaster in corresponding locality provides sufficient time to protect their precious life and property. However, the range of flood prediction introduces the issue of cost, reliability and maintenance. We are proposing the …
Published in Current Trends in Information Technology · Vol. 10, Issue 3, 2020 · pp. 30–34 Read article
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Monsoon Flood Forecasting in Gandak River Using Discreet Wavelet Transform
Abstract: The Gandak River in North Bihar carries huge flood during the monsoon period. The daily variation in its flow during this period is so significant that conventional methods find it difficult to model the flow. In this paper, new models employing discreet wavelet transform (DWT) have been developed to forecast daily flows in a large river like Gandak. DWT decomposes the flow series into constituent wavelet components of ``approximations’’ and …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 93–101 Read article
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Applicability of SWMM Model for Urban Flood Forecasting: A Review
Abstract: Urbanization, the major goal for the emerging economies, with which come the major concerns, flood conditions being one of them. The huge losses of infrastructure and lives have alarmed us with the need to tackle this situation in an effective and sustainable manner. Flood forecasting and its management is the only sail through the narrow gap between the disasters and prosperity. Precipitation is the major component of the hydrologic cycle …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 2, 2017 · pp. 1–4 Read article
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AI-driven Flood Surveillance and Dam Control: Advancing Resilience Through Data Science
Abstract: This study presents the development and real-world deployment of an intelligent system for flood monitoring and automated dam gate control using artificial intelligence (AI) and internet of things (IoT) sensors. Supervised machine learning models are developed to predict floods up to 48 h in advance. An automated dam gate operation system is designed to leverage the flood forecasts and real-time stream water levels for emergency control. The complete end-to-end infrastructure …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 9–17 Read article
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Rainfall-runoff Modeling using HEC-HMS Hydrologic Model for Guder River Watershed, Blue Nile Basin, Ethiopia
Abstract: Rainfall-runoff modeling is important for a number of hydrologic applications including flood forecasting, water resource planning and management. This study presents the result of a watershed rainfall-runoff modeling for Guder river watershed having area of 6597 km 2 using Hydrologic Engineering Center-Hydrologic Modeling Systems (HEC-HMS). The watershed runoff is varying spatially and temporally due to manmade factors and natural factors on the watershed. These issue needs efficient water resource planning …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 62–77 Read article
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HEC-HMS Based Estimation of Rainfall Runoff Relationship in Central Highlands of Ethiopia, a Case Study in Beressa Watershed
Abstract: Rainfall and runoff are the most frequently used events in hydrology. Calculating of a flow at the outlet of river is vigorous for a number of hydrologic studies like water resource management and flood forecasting. This study supported out to estimate rainfall-runoff relation in Beressa watershed. HEC-HMS model is used to pretend rainfall-runoff process and to apply the rainfall-runoff analysis by using SCS_CN method in Beressa Watershed. A physical based …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 3, 2021 · pp. 40–63 Read article
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On the Relationship between Equivalent Potential Temperature (theta-e) and Convective Rain over Nigeria and Togo
Abstract: Convective precipitation is a key feature of West Africa's climate, driven by the West African monsoon system. Accurate forecasting of convective storms is challenging but essential for disaster mitigation in the region. This study investigates the ability of using equivalent potential temperature (theta-e) for predicting convective rainfall events in West Africa. Theta-e combines the thermodynamic effects of moisture and temperature to represent total energy available for convection. Daily rainfall and …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 26–43 Read article
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Strategies for Flood Mitigation
Abstract: The world has always experienced change. Water-too much or too little is the most common cause of migration and a city's downfall. The notable and significant distinction right now is that we are seeing it in real-time for the first time in human history. We contributed to the dangers that were produced, and we contributed to the remedies that will influence the pace and scope of change and disruption. We …
Published in International Journal of Rural and Regional Development · Vol. 1, Issue 1, 2023 · pp. 1–9 Read article
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An In-Depth Assessment of Flood Susceptibility using Geo-informatics – A Detailed Review
Abstract: In recent years, the world has faced many disasters, but the effects of floods have received considerable focus due to their harmful consequences. More than half of the global destruction and damage from floods takes place in Asia, leading to loss of life, infrastructure damage, and community panic. The main goal is to improve the understanding of flood hazard management by conducting flood vulnerability assessments. Vulnerability is central to analyzing …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 12–15 Read article
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Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Forecasting Climate-Driven Healthcare Demand in Agricultural Regions: A Multi-Modal AI Approach
Abstract: The rapidly increasing instability of world climatic regimes has made past meteorological thresholds irrelevant, especially in the agricultural areas where monetary stability and well-being of humans are closely intertwined with an environmental situation. The more the frequency of 1 in every 1000-year events, i.e., heatwaves and catastrophic flooding increase, the greater the rural healthcare systems are in crisis, i.e., unable to predict a surge in demand because of data scarcity, …
Published in International Journal of Climate Conditions · Vol. 2, Issue 2, 2025 · pp. 28–38 Read article
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Climate Change Including Forest Fire Prediction using Machine Learning and Deep Learning
Abstract: Climate change alludes to long haul shifts in temperatures and atmospheric conditions. These movements might be regular, for example, through varieties in the sun-oriented cycle. In any case, since the 1800s, human exercises have been the fundamental driver of climate change, basically because of consuming fossil fuels like coal, oil and gas. Many individuals think climate change mostly implies hotter temperatures. Be that as it may, the temperature climb is …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 Read article
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Effect of Climate Change and Sea Level Rise Along the Coastline of Mumbai in 2050-using MIKE 21
Abstract: Sea-level rise being one of the most significant effects of climate change have grabbed the attention of the world. Although the exact forecast of rise of sea level remains uncertain, many projections for high emission scenarios from individual studies were found much greater than likely range of 1 m of the 21st century SLR given in AR5 of IPCC. Moreover, due to the additional load from melt ice the Sea …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 3, 2021 · pp. 55–64 Read article