
Quang-Van DoanCenter for Computational Sciences University of Tsukuba
Quang-Van Doan
PhD (Sci)
About
76
Publications
31,774
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
1,331
Citations
Introduction
Publications
Publications (76)
The Mekong Delta Region of Vietnam faces increasing dengue risks driven by urbanization, globalization, and climate change. This study introduces a probabilistic forecasting model for predicting dengue incidence and outbreaks with one to three month lead times, integrating meteorological, sociodemographic, preventive, and epidemiological data. Seve...
In this study, the characteristics of the South and Southeast Asian summer monsoon onset in ENSO years were re-investigated using clustering analysis. Our approach focuses on detecting synoptic patterns, including identifying the pattern that best represents the monsoon onset condition. By projecting the real atmospheric conditions and their tempor...
High-quality climate information tailored to cities’ needs assists decision makers to prepare for and adapt to climate change impacts, as well as to support the targeted transition towards climate resilient cities. During the last decades, two main modelling approaches emerged to understand and analyse the urban climate and to generate information....
The onset of the rainy season in Vietnam displays distinct characteristics compared to other Asian summer monsoon (ASM) regions due to its elongated shape running from south to north, coupled with its complex terrain and the influences of multiple weather systems. Determining the onset is challenging, although numerous empirical indices exist. Here...
Vietnam's summer monsoon season are charaterised by intense rainfall, driven by dynamic intraseasonal oscillations such as the Madden-Julian Oscillation (MJO) and the Boreal Summer Intraseasonal Oscillation (BSISO). Located near the equator with diverse terrain, the country presents a unique case for studying how these atmospheric mechanisms intera...
Researchers have recently focused on the interplay of the urban heat island (UHI) effect and heat waves (HWs). However, the synergies of these two phenomena remains inconclusive at present. To address this gap, this study investigated UHIs and HWs synergies during the last 30 years in the Tokyo metropolitan area, through a unique and novel approach...
The Kingdom of Saudi Arabia (KSA) is characterized by a desert climate, with rainfall mainly occurring during the cooler months (November–April) and sometimes in conjunction with intense extratropical systems that can cause serious damage and casualties. Given the vast size of KSA, there are gaps in understanding the association between large‐scale...
North-central Vietnam often experiences high temperatures. Foehn winds originating from the Truong Son Mountains (also known as Laos winds) are believed to contribute to abnormally high temperatures; however, no quantitative research has focused on foehn warming in Vietnam. In this study, we conducted numerical simulations using the Weather Researc...
This study represents a pioneering effort to establish a downscaling framework named “land-surface-physics-based downscaling” (LSP-DS) for agricultural meteorological prediction in the tropical-monsoon region of the Red River Delta, Vietnam. The primary focus of this article is to evaluate the performance of LSP-DS on meteorological variables, spec...
This study aims to investigate climate change's impact on health and adaptation in Vietnam through a systematic review and additional analyses of heat exposure, heat vulnerability, awareness and engagement, and projected health costs.
Out of 127 reviewed studies, findings indicated the wider spread of infectious diseases, and increased mortality a...
State of Victoria, Australia (SVA) has a wide variation of diurnal temperatures (DTR). DTR has been reported to be associated with risk of mortality and morbidity. We examined the association between exposure to DTR and risk of all-cause mortality and emergency department (ED) presentations in the SVA. We obtained data on daily counts of deaths and...
Cool materials and rooftop vegetation help achieve urban heating mitigation as they can reduce building cooling demands. This study assesses the cooling potential of different mitigation technologies using Weather Research and Forecasting (WRF)- taking case of a tropical coastal climate in the Kolkata Metropolitan Area. The model was validated usin...
Dramatic increases in climate data underlie a gradual paradigm shift in knowledge acquisition methods from physically based models to data-based mining approaches. One of the most popular data clustering/mining techniques is k-means, and it has been used to detect hidden patterns in climate systems; k-means is established based on distance metrics...
Different heat mitigation technologies have been developed to improve the thermal environment in cities. However, the regional impacts of such technologies, especially in the context of a tropical city, remain unclear. The deployment of heat mitigation technologies at city‐scale can change the radiation balance, advective flow, and energy balance b...
Central Vietnam is characterized by severe fooding associated with heavy rainfall events caused by interactions between multiscale atmospheric circulations and the complex local terrain. Previous studies believed rainfall in central Vietnam is closely related to the cold surge; however, it fails to explain the cause of the early rainfall occurrence...
Detailed urban information, including land use/land cover (LULC), anthropogenic heat (AH) release, and urban canopy parameters (UCP), play critical roles in meteorological field simulations. It is particularly relevant for the Weather Research and Forecasting (WRF) model coupled with the single‐layer urban canopy model (SLUCM). Thus, we develop hig...
Fog may continue to inhibit industry in the future. Here, we focused on a specific advection fog event in Shanghai, China, and applied a pseudo global warming method to examine advection fog under the RCP8.5 high-emission scenario. The method involved downscaling the future atmospheric conditions over the ensemble average of 19 global climate model...
This study contributes to the body of current knowledge about the urban effect on extreme precipitation (EP) by investigating the city-EP interaction over Lagos, Nigeria. This is a unique, first-time study that adds a “missing piece” of this information about the African continent to the comprehensive global urban precipitation “picture”. The conve...
A high-resolution (1 km × 1 km) emission inventory was developed for Hanoi for 2017 and 2018. The total annual emissions of PM2.5, BC, OC, NOx, SO2, NMVOC, NH3, CH4, and CO were 14.9, 1.6, 2.9, 56.7, 19.1, 109.2, 23.0, 37.9, and 472.7 Gg, respectively. Transportation, industry, and agriculture contributed 89.1%, 92.2%, and 81.3% to the total emissi...
Identifying the change of city‐scale extreme precipitation (EP) under the “new normal” of global climate is critical for various urban risk assessments. Here, we investigate the change of hourly EP caused by warmer climate regimes in a large urban agglomeration in midlatitude, Tokyo, Japan. We use pseudo‐global warming dynamical downscaling approac...
Plain Language Summary
Diurnal temperature range, which is defined as the difference between the daily maximum (Tmax) and daily minimum air temperature (Tmin), is a critical factor that modulates local climate, ecosystem, and socio‐economic functioning. This study investigates how global warming impacts diurnal temperature range (DTR) using a high...
Dramatic increases in climate data underlie a gradual paradigm shift in knowledge-acquisition methods from physical-based models to data-based mining techniques. k-Means is one of the most popular data clustering/mining techniques, and it has been used to detect hidden patterns in climate systems. k-Means is established based on distance metrics fo...
Ramp phenomena caused by abrupt changes in wind speed may confound the stable operation of correlated electrical power supply systems, yet accurate numerical predictions are challenging, as the wind is affected by complex interactions between large‐scale weather patterns and local geographical conditions. Further, optimal numerical weather predicti...
Understanding the response of extreme precipitation (EP) at a city scale to global warming is critical to reducing the respective risk of urban flooding. Yet, current knowledge on this issue is limited. Here, focusing on an urban agglomeration in the tropics, Singapore, we reveal that future global warming enhances both frequency and intensity of E...
Combined effects of global warming and rapid urbanization replace green spaces with urban facilities. Children in urban areas are at a higher risk of heat-related adverse health effects. Our study aimed to examine the protective effect of urban green space on heat-related respiratory hospitalization among children under 5 years of age in Hanoi, the...
Understanding the future offshore wind energy is crucial for making an appropriate energy strategy. Yet how offshore wind energy will respond to the rapidly intensifying global warming remains inconclusive. Focusing on a tropical sea in Vietnam, this study assesses the climatic impact of global warming on the local offshore wind potential. Dynamica...
Broadband passive daytime radiative cooling (PDRC) materials exhibit sub-ambient surface temperatures and contribute highly to mitigating extreme urban heat during the warm period. However, their application may cause undesired overcooling problems in winter. This study aims to assess, on a city scale, different solutions to overcome the winter ove...
Daytime radiative coolers appear to be the most triumphant and promising technology for urban thermal management, as they could improve the thermal field of the cities, especially during the summertime. However, during the colder months, it can lead to an overcooling penalty, a widely overlooked phenomenon. This study aims to determine the cooling...
Groundwater salinization is one of the most severe environmental problems in coastal aquifers worldwide, causing exceeding salinity in groundwater supply systems for many purposes. High salinity concentration in groundwater can be detected several kilometers inland and may result in an increased risk for coastal water supply systems and human healt...
Simulations of five November months (2010–2014) using the urban version of the numerical weather prediction system of the Meteorological Service Singapore (uSINGV) are used to analyse the urban effect on convective precipitation over Singapore and Johor Bahru (Malaysia). The model is able to closely predict locations where rainfall peaks occur, but...
Urban development exacerbates urban heat island effects of cities and thermal discomfort of the residents worldwide. However, such urban effects vary with the geographical and climatic conditions of the respective cities. This study is the first to quantitatively estimate the impact of past (1878), present (2012), and future (2050) urbanization on...
Groundwater salinization is considered as a major environmental problem in worldwide coastal areas, influencing ecosystems and human health. However, an accurate prediction of salinity concentration in groundwater remains a challenge due to the complexity of groundwater salinization processes and its influencing factors. In this study, we evaluate...
Extreme urban heat causes serious climatic, environmental, and economic problems. Daytime radiative cooling technologies are the most promising cooling technology in recent years. Here, we report experimental and numerical analysis to assess the cooling performance of scalable broadband radiative coolers, evaluate their heat mitigation potential in...
Japanese society has recently taken a greater interest in foehn warming because it has caused record‐breaking high temperatures and sudden damage to rice crops. This is the first comprehensive climatological study focused on Japan's south foehn, which blows across the Toyama Plain in the Hokuriku region. Climatological analyses, including an object...
This study proposes a novel structural self-organizing map (S-SOM) algorithm for synoptic weather typing. A novel feature of the S-SOM compared with traditional SOMs is its ability to deal with input data with spatial or temporal structures. In detail, the search scheme for the best matching unit (BMU) in a S-SOM is built based on a structural simi...
India responded to the COVID-19 pandemic through a three-phase nationwide lockdown: 25 March - 14 April, 15 April - 3 May and 4 - 17 May, 2020. We utilized this unique opportunity to assess the impact of restrictions on the air quality of Indian cities. We conducted comprehensive statistical assessments for the Air Quality Index (AQI) and criteria...
Short-term extreme rainfall events (EREs) often produce urban flooding and result in the loss of life and property. In this study, three high spatial-temporal resolution precipitation products were used to analyze hourly EREs during May-October from 2001 to 2018 over the Yangtze River Delta (YRD). To quantify the possible link between EREs and envi...
The upstream construction of hydropower dams may drastically intensify climate change impacts due to changing the natural river flood-drought cycle and reducing the amount of water that flows into the lower Mekong Delta river, leading to hydrological and environmental health impacts. However, until now the influence of drought on residents’ health...
There is still no consensus on the mechanisms that modify precipitation over and around cities, especially for those located in the tropics where convective processes primarily drive rainfall. Here we contribute to the ongoing discussion about the urban‐associated precipitation by investigating the urban effect on the diurnal cycle of rainfall over...
As an effect of climate change, cities need detailed information on urban climates at decision scale that cannot be easily delivered using current observation networks, nor global and even regional climate models. A review is presented of the recent literature and recommendations are formulated for future work. In most cities, historical observatio...
In this study, we propose a novel structural self-organizing map (S-SOM) algorithm for synoptic weather typing. A novel feature of the S-SOM compared with traditional SOMs is its ability to deal with input data that have spatial or temporal structures. In detail, the search scheme for the best matching unit (BMU) in a S-SOM is built based upon a st...
Meteorology and emission sources are the two main factors determining concentrations of air pollutants, including fine particulate matter. A regional air quality modeling system was used to analyze the sources of fine-particulate air pollution in Hanoi, Vietnam, in December 2010. The impacts of precipitation and winds on PM2.5 concentrations was in...
The shortage of reliable datasets and resource assessments, resource variations, and lack of marine planning are the technical challenges facing offshore wind energy development in Vietnam. This pioneering paper comprehensively addresses these challenges by first screening available datasets to select crosscalibrated multi-platform (CCMP) data and...
The increasing frequency and intensity of heat events have weighty impacts on public health in Vietnam, but their effects vary across regions. In this study, we have applied a vulnerability assessment framework (VAF) to systematically assess the spatial pattern of health vulnerability to heatwaves in Vietnam. The VAF was computed as the function of...
Fog is a hazard to transportation activities in Shanghai, China, but it is not known how this fog is influenced by urban expansion. Here we use a numerical model to run, for the first time for Shanghai, sensitivity experiments of the fog response to urban expansion, including the changes of land use and anthropogenic heat. Instead of using ‘fog day...
This study revealed great potential and shortcoming of offshore wind energy in Vietnam by numerical simulations with Weather Research and Forecasting (WRF) model at 10 km resolution for 10 years (2006-2015). The greatest energy potential was found in the offshore area of Phu Quy island (Binh Thuan province). The area, alone, can provide the 38.2 GW...
Biases in simulating the diurnal cycle of convection near the western coast of the island of Sumatra have been investigated using the data from the pilot field campaign of the Years of the Maritime Continent (pre-YMC). The campaign was carried out at a sea [Research Vessel (R/V) Mirai] and a land (Bengkulu, Sumatra) site. Simulations are performed...
Tropical cities aremore susceptible to the suggested fall outs fromprojected globalwarming scenarios as they are
located in the Torrid Zone and growing at rapid rates. Therefore, research on the mitigation of urban heat island
(UHI) effects in tropical cities has attainedmuch significance and increased immensely over recent years. TheUHI
mitigation...
This study investigates the impact of urbanization on surface air temperature and the urban heat island (UHI) for Sendai City. We estimate the impacts of the urbaniza-tion during the 150-year period by comparing the 1850s to the 2000s case. We use the Weather Research and Forecasting (WRF) model with 1-km horizontal resolution and three land-use da...
This study investigates the roles of land-use cover (LUC) and anthropogenic heat (AH) on the past, present, and future urban heat island (UHI) effect over the megapolitan area of Hanoi, Vietnam. We use a dynamical downscaling method with a regional climate model coupled with an urban canopy scheme to run sensitivity simulations with LUC and AH data...
This study introduces a new multiple-layer urban canopy model (MUCM) combined with a ray-tracing algorithm. In the model, we parameterize the urban morphology as an infinite array of identical three-dimensional buildings separated by roads. Heat exchanges are solved for each urban surface at each vertical layer. The ray-tracing scheme is used to ex...
Sudden changes in wind speed, so‐called wind speed ramps, are a major concern for wind power system operators. The present study applies the mesoscale ensemble forecast method for the prediction of wind speed ramps at wind farms in Japan and evaluates the ability and utility of this method. The mesoscale ensemble forecast in this study (ENS21) cons...
In this paper, we present the current exploitation status of the wind resources in general and of the offshore wind in particular. In addition, we introduce the initial and basic calculation of wind energy density at the height of 100 m, the method for development of wind resources, and the development of wind energy responding to climate change. T...
Recently, offshore wind energy has received much attention in Vietnam; however, the understanding of its potential is insufficient to sparse in situ observations. This study introduce a numerical approach for studying the offshore wind potential in the southern Vietnam. A regional climate model used to simulate wind field is configured so that the...
This study revealed the impacts of land use and anthropogenic heat on the heterogeneous spatial patterns of temperature and the thermal index in Shibuya ward in Tokyo, which contains a commercial area, residential area, and park within 1–2 km². Observations revealed that temperature in the residential area was slightly higher than that in the comme...