Search Results - "Dang, Dinh Kha"
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Multi‐hazard assessment using machine learning and remote sensing in the North Central region of Vietnam
Published in Transactions in GIS (01-08-2023)“…Natural hazards constitute a diverse category and are unevenly distributed in time and space. This hinders predictive efforts, leading to significant impacts…”
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Quantile mapping technique for enhancing satellite-derived precipitation data in hydrological modelling: a case study of the Lam River Basin, Vietnam
Published in Journal of hydroinformatics (01-08-2024)“…ABSTRACT Accurate precipitation is crucial for hydrological modelling in sparse gauge regions like the Lam River Basin (LRB) in Vietnam. Gridded precipitation…”
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Flood risk assessment using machine learning, hydrodynamic modelling, and the analytic hierarchy process
Published in Journal of hydroinformatics (01-08-2024)“…ABSTRACT The objective of this study was to develop a theoretical framework based on machine learning, the hydrodynamic model, and the analytic hierarchy…”
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Flood susceptibility mapping using advanced hybrid machine learning and CyGNSS: a case study of Nghe An province, Vietnam
Published in Acta geophysica (01-12-2022)“…Flooding is currently the most dangerous natural hazard. It can have heavy human and material impacts and, in recent years, flooding has tended to occur more…”
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An Approach for Flow Forecasting in Ungauged Catchments – A Case Study for Ho Ho reservoir catchment, Ngan Sau River, Central Vietnam
Published in Journal of Ecological Engineering (01-05-2018)“…Reservoir inflow forecasting with high reliability plays an important role in the operation and management of the reservoir for power generation, irrigation,…”
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Utility of GSMaP Precipitation and Point Scale in Gauge Measurements for Stream Flow modelling – a Case Study in Lam River Basin, Vietnam
Published in Journal of Ecological Engineering (01-02-2020)“…The benefiting from integrating information from multi-source is confirmed in the research of hydrologic processes in river basins. However, the use of…”
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Flood inundation assessment for the Hanoi Central Area, Vietnam under historical and extreme rainfall conditions
Published in Scientific reports (22-08-2018)“…Flash floods have long been common in Asian cities, with recent increases in urbanization and extreme rainfall driving increasingly severe and frequent events…”
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Evaluation of Grid-Based Rainfall Products and Water Balances over the Mekong River Basin
Published in Remote sensing (Basel, Switzerland) (01-06-2020)“…Gridded precipitation products (GPPs) with wide spatial coverage and easy accessibility are well recognized as a supplement to ground-based observations for…”
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Monitoring the effects of climate, land cover and land use changes on multi-hazards in the Gianh River watershed, Vietnam
Published in Environmental research letters (01-10-2024)“…Abstract In recent decades, global rapid urbanization has exacerbated the impacts of natural hazards due to changes in Southeast Asia’s environmental,…”
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Evaluating the effects of climate and land use change on the future flood susceptibility in the central region of Vietnam by integrating land change modeler, machine learning methods
Published in Geocarto international (13-12-2022)“…The crucial importance of land cover and use changes and climate changes for worldwide sustainability results from their negative effects on flood risk. In a…”
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Assessment of upbasin dam impacts on streamflow at Chiang Saen gauging station during the period 1960–2020 in the context of statistical studies
Published in River research and applications (01-09-2022)“…The Langcang‐Mekong River Basin is the most important transboundary river basin in Asia. However, over the recent decades, dam construction has had…”
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Predicting Future Urban Flood Risk Using Land Change and Hydraulic Modeling in a River Watershed in the Central Province of Vietnam
Published in Remote sensing (Basel, Switzerland) (01-01-2021)“…Flood risk is a significant challenge for sustainable spatial planning, particularly concerning climate change and urbanization. Phrasing suitable land…”
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Climate Change Impact on the Streamflow for the Nam Ou Catchment, North Laos in the Mekong Basin
Published in Journal of Ecological Engineering (01-08-2023)“…Southeast Asia, in general, and the Mekong Basin (MB), in particular, with its typically warm and wet climate, face water resource challenges. A deep…”
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Flood hazard and resilience in the watershed Nhat Le–Kien Giang in Vietnam
Published in Urbanism. Arhitecturǎ. Construcții (01-01-2023)“…Flood is the most dangerous of natural disasters. It is responsible for considerable loss of life and economic damage, especially in Southeast Asian countries…”
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Flood hazard assessment using machine learning and hydrodynamic modeling: case study in the Vu Ga–Thu Bon basin in Vietnam
Published in Water practice and technology (01-10-2024)“…ABSTRACT The objective of this study was the construction of a theoretical framework to evaluate flood hazards by integrating machine learning and hydrodynamic…”
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Integrated machine learning and remote sensing for groundwater potential mapping in the Mekong Delta in Vietnam
Published in Acta geophysica (2024)“…Evaluating groundwater potential is critical for the socioeconomic development of Vietnam. This research aims to assess the underground water potential in the…”
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Integration of machine learning and hydrodynamic modeling to solve the extrapolation problem in flood depth estimation
Published in Journal of water and climate change (01-01-2024)“…Abstract Flood prediction is an important task, which helps local decision-makers in taking effective measures to reduce damage to the people and economy…”
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Cropland abandonment and flood risks: Spatial analysis of a case in North Central Vietnam
Published in Anthropocene (01-06-2022)“…Agricultural land abandonment due to floods has become a significant global problem, causing multiple environmental issues, deteriorating rural landscapes, and…”
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A novel flood risk management approach based on future climate and land use change scenarios
Published in The Science of the total environment (15-04-2024)“…Climate change and increasing urbanization are two primary factors responsible for the increased risk of serious flooding around the world. The prediction and…”
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Data-Driven Dam Outflow Prediction Using Deep Learning with Simultaneous Selection of Input Predictors and Hyperparameters Using the Bayesian Optimization Algorithm
Published in Water resources management (2024)“…Reservoirs and dams are critical infrastructures that play essential roles in flood control, hydropower generation, water supply, and navigation. Accurate and…”
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