Shuo Wang

Bio: Shuo Wang is an academic researcher from Hong Kong Polytechnic University. The author has contributed to research in topics: Stochastic programming & Fuzzy logic. The author has an hindex of 22, co-authored 68 publications receiving 1233 citations. Previous affiliations of Shuo Wang include Wuhan University & Texas Tech University.

“Dry gets drier, wet gets wetter”: A case study over the arid regions of central Asia

Abstract: State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, China Department of Geography, Hong Kong Baptist University, Hong Kong, China Department of Earth Sciences, University of Gothenburg, Gothenburg, Sweden Department of Land Surveying and Geoinformatics, The Hong Kong Polytechnic University, Hong Kong, China College of Information Science & Engineering, Xinjiang University, Urumuqi, China

Comparison of interpolation methods for estimating spatial distribution of precipitation in Ontario, Canada

Abstract: In this study, different interpolation techniques in a geographical information system (GIS) environment are analysed and compared for estimating the spatial distribution of precipitation in the province of Ontario, Canada. A high-resolution regional climate modelling system [Providing Regional Climates for Impacts Studies (PRECIS)] is used to simulate the present (1961–1990) and future (2071–2100) precipitation events for 12 meteorological stations over Ontario. The results verify that for the present case PRECIS simulates well the precipitation events when compared with observed data. The future precipitation events can be projected after the validation of PRECIS. Six interpolation methods are then used to generate spatial distribution of precipitation based on the projections of future precipitation of 12 meteorological stations; they include inverse distance weighting (IDW), global polynomial interpolation (GPI), local polynomial interpolation (LPI), radial basis functions (RBF), ordinary kriging (OK), and universal kriging (UK). Cross-validation is applied to evaluate the accuracy of interpolation methods in terms of the root mean square error (RMSE). The results indicate that LPI is the optimal method with the least RMSE for interpolating the PRECIS precipitation. LPI is then used to analyse spatial variations of the average annual precipitation for the period of 2071–2100 over Ontario.

An interval-valued fuzzy-stochastic programming approach and its application to municipal solid waste management

Abstract: In this study, an interval-valued fuzzy-stochastic programming (IVFSP) approach is developed for municipal solid waste (MSW) management under uncertainty. IVFSP can tackle multiple uncertainties presented as intervals as well as possibilistic and probabilistic distributions. The adoption of interval-valued fuzzy sets is capable of reflecting waste managers' confidence levels over subjective judgments, and can thus enhance the system robustness. An infinite @a-cuts method is employed for discretizing the interval-valued fuzzy sets in IVFSP. Such a method can communicate all fuzzy information into the optimization process without ignoring valuable uncertain information. Moreover, IVFSP can permit in-depth analyses of various policy scenarios that are associated with different levels of economic penalties when the promised waste-allocation targets are violated. The developed approach is applied to a MSW management problem to demonstrate its applicability. The results indicate that interval solutions associated with different risk levels of constraint violation have been generated. They can help waste managers to identify desired waste-flow-allocation schemes and capacity-expansion plans according to their preference and practical conditions, as well as facilitate in-depth analyses of tradeoffs between economic efficiency and constraint-violation risk.

The Design and Analysis of Experiments

Abstract: THE DESIGN AND ANALYSIS OF EXPERIMENTS. By Oscar Kempthorne. New York, John Wiley and Sons, Inc., 1952. 631 pp. $8.50. This book by a teacher of statistics (as well as a consultant for \"experimenters\") is a comprehensive study of the philosophical background for the statistical design of experiment. It is necessary to have some facility with algebraic notation and manipulation to be able to use the volume intelligently. The problems are presented from the theoretical point of view, without such practical examples as would be helpful for those not acquainted with mathematics. The mathematical justification for the techniques is given. As a somewhat advanced treatment of the design and analysis of experiments, this volume will be interesting and helpful for many who approach statistics theoretically as well as practically. With emphasis on the \"why,\" and with description given broadly, the author relates the subject matter to the general theory of statistics and to the general problem of experimental inference. MARGARET J. ROBERTSON

The Ensemble Kalman Filter: Theoretical formulation and practical implementation

Abstract: The purpose of this paper is to provide a comprehensive presentation and interpretation of the Ensemble Kalman Filter (EnKF) and its numerical implementation. The EnKF has a large user group, and numerous publications have discussed applications and theoretical aspects of it. This paper reviews the important results from these studies and also presents new ideas and alternative interpretations which further explain the success of the EnKF. In addition to providing the theoretical framework needed for using the EnKF, there is also a focus on the algorithmic formulation and optimal numerical implementation. A program listing is given for some of the key subroutines. The paper also touches upon specific issues such as the use of nonlinear measurements, in situ profiles of temperature and salinity, and data which are available with high frequency in time. An ensemble based optimal interpolation (EnOI) scheme is presented as a cost-effective approach which may serve as an alternative to the EnKF in some applications. A fairly extensive discussion is devoted to the use of time correlated model errors and the estimation of model bias.

This is How the Discussion Started

Abstract: A copy of Guangbo jiemu bao [Broadcast Program Report] was being passed from hand to hand among a group of young people eager to be the first to read the article introducing the program "What Is Revolutionary Love?" It said: "… Young friends, you are certainly very concerned about this problem'. So, we would like you to meet the young women workers Meng Xiaoyu and Meng Yamei and the older cadre Miss Feng. They are the three leading characters in the short story ‘The Place of Love.’ Through the description of the love lives of these three, the story induces us to think deeply about two questions that merit further examination.