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Article
A copula-based multisite rainfall frequency analysis: a case study on the Lanyang watershed in Taiwan
Frequency analysis is a widely used method in hydrology; however, the conventional approaches to frequency analysis do not consider the spatial dependence between stations. This study proposes a novel approach...
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Article
Open AccessLong-term exposure to particulate matter was associated with increased dementia risk using both traditional approaches and novel machine learning methods
Air pollution exposure has been linked to various diseases, including dementia. However, a novel method for investigating the associations between air pollution exposure and disease is lacking. The objective o...
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Article
A data assimilation approach for groundwater parameter estimation under Bayesian maximum entropy framework
Spatial heterogeneity in groundwater system introduces significant challenges in groundwater modeling and parameter calibration. In order to mitigate the modeling uncertainty, data assiilation methods have bee...
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Article
Optimization of air quality monitoring network based on a spatiotemporal-spectrum manifold analysis
An effective air quality monitoring network (AQMN) is able to promptly reflect the characteristics of ambient air pollutants for air pollution control and management nearby potential hazardous emissions. This ...
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Article
Development of Kriging-approximation simulated annealing optimization algorithm for parameters calibration of porous media flow model
This research proposes an innovative Kriging-approximation simulated annealing (KASA) optimization algorithm to increase optimization efficiency and reduce the computation time for the parameter calibration of...
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Article
Stochastic competitive analysis of hydropower and water supplies within an energy–water nexus
Energy and water are scarce resources and understanding the complicated energy–water nexus is an important issue for effective resource management. The purpose of this research was to analyze the competitive a...
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Article
Considering spatial heterogeneity in the distributed lag non-linear model when analyzing spatiotemporal data
The distributed lag non-linear (DLNM) model has been frequently used in time series environmental health research. However, its functionality for assessing spatial heterogeneity is still restricted, especially...
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Article
Water, climate, and health
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Article
A spatiotemporal dengue fever early warning model accounting for nonlinear associations with hydrological factors: a Bayesian maximum entropy approach
Dengue fever is identified as one of the most widespread vector-borne diseases in the world. In the last decade, high incidence of dengue fever has been observed in southern Taiwan on an annual basis. There is...
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Article
Short-term population-based non-linear concentration–response associations between fine particulate matter and respiratory diseases in Taipei (Taiwan): a spatiotemporal analysis
Fine particulate matter <2.5 μm (PM2.5) has been associated with human health issues; however, findings regarding the influence of PM2.5 on respiratory disease remain inconsistent. The short-term, population-base...
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Article
A GIS tool for spatiotemporal modeling under a knowledge synthesis framework
In recent years, there has been a fast growing interest in the space–time data processing capacity of Geographic Information Systems (GIS). In this paper we present a new GIS-based tool for advanced geostatist...
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Article
A space-time typhoon trajectories analysis in the vicinity of Taiwan
Tropical cyclones are one of the most serious natural disasters in northwestern Pacific Ocean. In general, an average of three to four typhoons invades the vicinity of Taiwan annually, which brings heavy rain...
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Article
Analysis of space–time patterns of rainfall events during 1996–2008 in Yilan County (Taiwan)
Understanding local precipitation patterns is essential to water resource management and flood mitigation. Precipitation patterns can vary in space and time depending on factors from different spatial scales s...
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Article
Influences of ambient air pollutants and meteorological conditions on ozone variations in Kaohsiung, Taiwan
The complex process of ozone formation, its precursor compounds (volatile organic compounds (VOCs) and nitrogen oxides (NOx)) emissions, accompanying with meteorological conditions, makes troposphere ozone diffic...
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Article
Recharge signal identification based on groundwater level observations
This study applied a method of the rotated empirical orthogonal functions to directly decompose the space–time groundwater level variations and determine the potential recharge zones by investigating the corre...
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Article
A spatio-temporal climate-based model of early dengue fever warning in southern Taiwan
Dengue Fever (DF) has been identified by the World Health organization (WHO) as one of the most serious vector-borne infectious diseases in tropical and sub-tropical areas. During 2007, in particular, there we...
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Chapter
Spatiotemporal Analysis of PM2.5 Exposure in Taipei (Taiwan) by Integrating PM10 and TSP Observations
Many studies have shown a significant association between human exposure to Particulate Matter (PM) and population health effects (premature mortality, respiratory and cardiovascular diseases, emergency room v...
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Chapter
Dealing with Spatiotemporal Heterogeneity: The Generalized BME Model
Geographical studies involving natural systems and their attributes (e.g., environmental processes, land use parameters, human exposure indicators, disease variables, and financial indexes) often need to quant...
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Article
Spatiotemporal statistical analysis of influenza mortality risk in the State of California during the period 1997–2001
Using the Bayesian maximum entropy (BME) method of spatiotemporal statistics, the present study examines the geographical risk pattern of influenza mortality in the state of California during the time period 1...
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Article
Interactive spatiotemporal modelling of health systems: the SEKS–GUI framework
