排序方式： 共有10条查询结果，搜索用时 437 毫秒
1
1.
Spatio-temporal estimation of precipitation over a region is essential to the modeling of hydrologic processes for water resources management. The changes of magnitude and space–time heterogeneity of rainfall observations make space–time estimation of precipitation a challenging task. In this paper we propose a Box–Cox transformed hierarchical Bayesian multivariate spatio-temporal interpolation method for the skewed response variable. The proposed method is applied to estimate space–time monthly precipitation in the monsoon periods during 1974–2000, and 27-year monthly average precipitation data are obtained from 51 stations in Pakistan. The results of transformed hierarchical Bayesian multivariate spatio-temporal interpolation are compared to those of non-transformed hierarchical Bayesian interpolation by using cross-validation. The software developed by [11] is used for Bayesian non-stationary multivariate space–time interpolation. It is observed that the transformed hierarchical Bayesian method provides more accuracy than the non-transformed hierarchical Bayesian method. 相似文献
2.
Hwa-Lung Yu Alexander Kolovos George Christakos Jiu-Chiuan Chen Steve Warmerdam Boris Dev 《Stochastic Environmental Research and Risk Assessment (SERRA)》2007,21(5):647-572
This paper describes the spatiotemporal epistematics knowledge synthesis and graphical user interface (SEKS–GUI) framework
and its application in medical geography problems. Based on sound theoretical reasoning, the interactive software library
of SEKS–GUI explores heterogeneous (spatially non-homogeneous and temporally non-stationary) health attribute distributions
(disease incidence, mortality, human exposure, epidemic propagation etc.); expresses the health system’s dependence structure
using (ordinary and generalized) spatiotemporal covariance models; synthesizes core knowledge bases, empirical evidence and
multi-sourced system uncertainty; and generates a meaningful picture of the real-world system using space–time dependent probability
functions and associated maps of health attributes. The implementation stages of the SEKS–GUI library are described in considerable
detail using appropriate screens. The wide applicability of SEKS–GUI is demonstrated by reviewing a selection of real-world
case studies.
An erratum to this article can be found at 相似文献
3.
4.
5.
Yu Hwa-Lung Chen Bo-Lin Chiu Chuan-Hung Lu Mong-Ming Tung Ching-pin 《Stochastic Environmental Research and Risk Assessment (SERRA)》2015,29(3):929-945
Stochastic Environmental Research and Risk Assessment - Understanding local precipitation patterns is essential to water resource management and flood mitigation. Precipitation patterns can vary in... 相似文献
6.
A spatio-temporal climate-based model of early dengue fever warning in southern Taiwan 总被引：5，自引：5，他引：0
Hwa-Lung Yu Shang-Jen Yang Hsin-Ju Yen George Christakos 《Stochastic Environmental Research and Risk Assessment (SERRA)》2011,25(4):485-494
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 were over 2,000 DF cases in Taiwan, which was
the highest number of cases in the recorded history of Taiwan epidemics. Most DF studies have focused mainly on temporal DF
patterns and its close association with climatic covariates, whereas they have understated spatial DF patterns (spatial dependence
and clustering) and composite space–time effects. The present study proposes a spatio-temporal DF prediction approach based
on stochastic Bayesian Maximum Entropy (BME) analysis. Core and site-specific knowledge bases are considered, including climate
and health datasets under conditions of uncertainty, space–time dependence functions, and a Poisson regression model of climatic
variables contributing to DF occurrences in southern Taiwan during 2007. The results show that the DF outbreaks in the study
area are highly influenced by climatic conditions. Furthermore, the analysis can provide the required “one-week-ahead” outbreak
warnings based on spatio-temporal predictions of DF distributions. Therefore, the proposed approach can provide the Taiwan
Disease Control Agency with a valuable tool to timely identify, control, and even efficiently prevent DF spreading across
space–time. 相似文献
7.
Ming-Che?Hu Tailin?HuangEmail author Hwa-Lung?Yu Ching-Pin?Tung 《Stochastic Environmental Research and Risk Assessment (SERRA)》2018,32(9):2761-2769
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 and cooperative relationships involving energy and water production and use. Specifically, tradeoff and integrated management of hydropower generation and water supplies are analyzed for energy–water systems. A Nash–Cournot model was established to analyze strategic behaviors among participants in energy–water systems. In the model, tradeoff analysis and integrated management of hydropower and water supplies were simulated for a reservoir system. In addition, hydropower and thermal power generation in competitive energy markets was examined. A case study of Dajia River reservoirs in the Tai-Chung and Chang-Hwa energy–water systems is presented. Dajia River is the second longest river in central Taiwan; the reservoirs system of Dajia River generates hydropower with installed capacity of 1150 MW. Strategic competitive and cooperative behaviors regarding energy–water linkage were quantified in the results. The results show that integrated management of hydropower and water supplies can increase renewable energy production, lower electricity equilibrium price, and decrease carbon dioxide emission. 相似文献
8.
Kuo Yi-Ming Chiu Chuan-Hung Yu Hwa-Lung 《Stochastic Environmental Research and Risk Assessment (SERRA)》2015,29(3):1037-1050
Stochastic Environmental Research and Risk Assessment - The complex process of ozone formation, its precursor compounds (volatile organic compounds (VOCs) and nitrogen oxides (NOx)) emissions,... 相似文献
9.
Hwa-Lung Yu Shang-Chen Ku Alexander Kolovos 《Stochastic Environmental Research and Risk Assessment (SERRA)》2016,30(2):665-679
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 geostatistical analysis of space–time data; it combines stochastic analysis, prediction, and GIS visualization technology. The proposed toolbox is based on the Bayesian Maximum Entropy theory that formulates its approach under a mature knowledge synthesis framework. We exhibit the toolbox features and use it for particulate matter spatiotemporal mapping in Taipei, in a proof-of-concept study where the serious preferential sampling issue is present. The proposed toolbox enables tight coupling of advanced spatiotemporal analysis functions with a GIS environment, i.e. QGIS. As a result, our contribution leads to a more seamless interaction between spatiotemporal analysis tools and GIS built-in functions; and utterly enhances the functionality of GIS software as a comprehensive knowledge processing and dissemination platform. 相似文献
10.
Hwa-Lung Yu Yu-Zhang Wu Shao Yong Cheung 《Stochastic Environmental Research and Risk Assessment (SERRA)》2020,34(5):709-721
Spatial heterogeneity in groundwater system introduces significant challenges in groundwater modeling and parameter calibration. In order to mitigate the modeling uncertainty, data assiilation... 相似文献
1