About
21
Publications
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Introduction
I am currently working on: Climate change impacts; Climate change Downscaling; Salinity intrusion; Urban inundation management; Disaster risk analysis; Water security; Water-Food-Energy nexus; ANN, ANFIS, LSTM, deep learning, machine learning, data mining; Hydrological and Hydro-dynamic modelings.
Current institution
Additional affiliations
November 2012 - present
Thuyloi University
Position
- Dean
Description
- Dr Nguyen Mai Dang is Associate Professor and Dean of the School of International Education, TLU, Vietnam. He manage international student exchange, Advanced Education, Linguistics program. His major is hydrology and water resources, and currently interested on flow forecasting, reservoir operation; climate change; water security; AI and ML application.
Publications
Publications (21)
![The study area: the VG–TB river basin [45].](publication/382043100/figure/fig1/AS:11431281389713376@1745225902084/The-study-area-the-VG-TB-river-basin-45_Q320.jpg)
The Vu Gia–Thu Bon (VG–TB) river basin is facing numerous challenges to water security, particularly in light of the increasing impacts of climate change. These challenges, including salinity intrusion, shifts in rainfall patterns, and reduced water supply in downstream areas, are of great concern. This study comprehensively assessed the current st...
The Vu Gia - Thu Bon River Basin (VG-TB) is confronting numerous challenges related to water security (WS), particularly in the face of the impacts of climate change. These challenges manifest in salinity intrusion, altered rainfall patterns, and reduced water supply in downstream areas. To assess the current state of water security in the basin, t...
Machine learning and deep learning (ML-DL) based models are widely used for rainfall-runoff prediction and they have potential to substitute process-oriented physics based numerical models. However, developing an ML model has also performance uncertainty because of inaccurate choices of hyperparameters and neural networks architectures. Thus, this...
Today, water supply in order to achieve sustainable development goals is one of the most important concerns and challenges in most countries. For this reason, accurate identification of areas with groundwater potential is one of the important tools in the protection, management and exploitation of water resources. Accordingly, the present study was...
Cities are rapidly expanding and invariably moving toward densification. Global challenges such as climate change, land use change, environmental degradation, and expanding economy in urban areas increase water-related problems. This study addresses the difficulty of operationalizing the concept of urban water security by applying an integrative in...
Reasonable distribution of water for agricultural and electricity production is pivotal for economic development, environmental protection, and social equality, and this task is becoming more challenging. This is because the demand for water, food, and energy has increased significantly recently due to population growth, higher standards of living,...
This paper uses the recently proposed grasshopper optimization algorithm (GOA) to develop a new hybrid, stochastic training algorithm for the feed-forward neural networks (FFNN). The state-of-the-art hybrid model is then applied to study observing pattern of scour depth which is a challenging problem in hydraulic engineering. In order to verify and...
Water scarcity is becoming one of the major concerns for water management on global and catchment scales. This requirs efficient and sustainable management practicies. As water availability varies depending on local hydro-climatic and socio-economic conditions, sustainable water management has to rely on profound information about water security on...
Quantifying sediment load is vital for aquatic and riverine biota and has been the subject of various environmental studies since sediment plays a key role in maintaining ecological integrity, river morphology and agricultural productivity. However, predicting sediment concentration in rivers is difficult because of the non-linear relationships of...
The estimation of scour depths is extremely important in designing the foundation of piers which ensure the integrity of bridges and other hydraulic structures. Complicated hydrodynamic processes around piers are the main challenge to formulate explicitly empirical equations in providing scour depth estimation. Consequently, the proposed empirical...
Cities are rapidly expanding and invariably moving toward densification. Global challenges such as climate change, land use change, environmental degradation, and expanding economy in urban areas increase water-related problems. This study addresses the difficulty of operationalizing the concept of urban water security by applying an integrative in...
Climate change and water are intricately linked. Water is the primary medium through which the impacts of climate change will be felt. Securing the water sector and enhancing water security is, therefore, imperative for any adaptive response to climate change. A precursor in improving water security is to first establish a mechanism to measure it....
In recent years, besides the impacts of socio-economic development activities, climate change (including changes in rainfall and sea level rise) in the Vu Gia - Thu Bon river basin has directly affected water source security in the basin. Floods, droughts, and saline intrusion become irregular and increasingly serious, greatly affecting the supply...
Reasonable delivering of water, food and energy are pivotal for economic development, environmental protection, and social equality. Nevertheless, demands for water, food and energy will increase significantly over the next decades due to population growth, higher living standards, and industrialization, especially developing countries like Vietnam...
The Red-Thai Binh River System in Vietnam is the second largest river system in Vietnam (after Mekong River system) and plays an important role in socioeconomic development of the country. Four large reservoirs were constructed in the upstream for flood control, hydropowe and water supply (agriculture, domestic, navygation and fisheries...). Beside...
Rainfall forecasting is a critical issue on climate impact studies in hydrology due to its important role in future climate change prediction. One of the most popular techniques utilized in rainfall prediction is linear, nonlinear regression. Rainfall is complicated phenomenon, so it is more complex to simulate and predict and most challenge is to...
