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Xueting Zeng   Dr.  Institute, Department or Faculty Head 
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Xueting Zeng published an article in December 2018.
Top co-authors
Yongping Li

44 shared publications

Fujian Engineering and Research Center of Rural Sewage Treatment and Water Safety, Xiamen, China

Guohe Huang

14 shared publications

Institute for Energy, Environment and Sustainable Communities, University of Regina, Regina, Canada

Liyang Yu

1 shared publications

Publication Record
Distribution of Articles published per year 
(2014 - 2018)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations Development of a Maximum Entropy-Archimedean Copula-Based Bayesian Network Method for Streamflow Frequency Analysis—A Ca... Xiangming Kong, Xueting Zeng, Cong Chen, Yurui Fan, Guohe Hu... Published: 27 December 2018
Water, doi: 10.3390/w11010042
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Frequency analysis of streamflow is critical for water-resources system planning, water conservancy projects and the mitigation of hydrological extremes events. In this study, a maximum entropy-Archimedean copula-based Bayesian network (MECBN) method has been proposed for frequency analysis of monthly streamflow in the Kaidu River Basin, which integrates the maximum entropy-Archimedean copula (MEAC) and Bayesian network methods into a general framework. MECBN is effective for representing the uncertainties that exist in model representation, preserving the distributional characteristics of streamflow records and addressing the correlation structure between streamflow pairs. Application to the Kaidu River Basin shows a good performance of MECBN in describing the historical data of this basin in China. The results indicate that the interactions between two adjacent monthly streamflow pairs are non-linear. There is upper tail dependence between monthly streamflow pairs. The dependence coefficients including Spearman’s rho, Kendall’s tau, and the upper tail dependence coefficient are in inverse proportion of monthly streamflow values in the Kaidu River Basin, due to the fact that other factors (i.e., rainfall, snow melting, evapotranspiration rate and requirement of water use) provide more contributions to the streamflow in the flooding season. These findings can be used for providing vital information in the prevention and control of hydrological extremes and to further water resources planning in Kaidu River Basin.
Article 0 Reads 0 Citations Sustainable water-resources allocation through a trading-oriented mechanism under uncertainty in an arid region Xueting Zeng, Yongping Li, Guohe Huang, Xiaowen Zhuang, Shua... Published: 27 July 2018
CLEAN - Soil, Air, Water, doi: 10.1002/clen.201800317
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Article 5 Reads 1 Citation Planning Water Resources in an Agroforest Ecosystem for Improvement of Regional Ecological Function Under Uncertainties Xueting Zeng, Cong Chen, Yinan Sheng, ChunJiang An, Xiangmin... Published: 02 April 2018
Water, doi: 10.3390/w10040415
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In this study, an agroforestry ecosystem project (AEP) is developed for confronting the conflict between agricultural development and forest protection. A fuzzy stochastic programming with Laplace scenario analysis (FSL) is proposed for planning water resources in an AEP issue under uncertainties. FSL can not only deal with spatial and temporal variations of hydrologic elements and meteorological conditions; but also handle uncertainties that are expressed in terms of probability, possibility distributions and fuzzy sets; meanwhile, policy scenario analysis with Laplace’s criterion (PSL) is introduced to handle probability of each scenario occurrence under the supposition of no data available. The developed FSL can be applied to an AEP issue in Xixian county, located in north of China. The result of ecological effects, water allocation patterns, pollution mitigation schemes and system benefits under various scenarios are obtained, which can support policymakers adjusting current strategy to improve regional ecological function with cost-effective and sustainable manners. Meanwhile, it can support generating a robust water plan for regional sustainability in an AEP issue under uncertainties.
Article 0 Reads 1 Citation A production-emission nexus based stochastic-fuzzy model for identification of urban industry-environment policy under u... Xueting Zeng, Ying Zhu, Cong Chen, Yufen Tong, Yongping Li, ... Published: 01 June 2017
Journal of Cleaner Production, doi: 10.1016/j.jclepro.2017.03.137
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Article 0 Reads 4 Citations A Mix Inexact-Quadratic Fuzzy Water Resources Management Model of Floodplain (IQT-WMMF) for Regional Sustainable Develop... Xueting Zeng, Xiaoliu Yang, Liyang Yu, Huili Chen Published: 12 June 2015
Water, doi: 10.3390/w7062771
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In this study, a mix inexact-quadratic fuzzy water resources management model of floodplain (IQT-WMMF) has developed, through incorporating techniques of credibility-constrained programming (CP), two-stage programming (TP), interval-parameter programming (IPP) and quadratic programming (QP) within a general framework for limited data availability. The IQT-WMMF can provide an effective linkage between system benefit and the associated economic penalty attributed to the violation of the pre-regulated water target under limited data availabilities expressed probabilistic distributions and interval values; meanwhile, imprecise and no-linear economic data would be resolved. The developed method is applied to a real case of planning water resources in the Dahuangbaowa floodplain, China, with the aim to develop a sustainable water resources management in the study region. A number of scenarios with wet land expansion strategies under various credibility levels are analyzed, implying that different policies can lead to varied water-allocation patterns, system benefits, and system-failure risks. The results discover that water deficits and flood damages have brought negative effects on economic development synchronously, which need to effective plans to reduce losses of shortages and floods for achieving higher system benefits. Tradeoffs between economic benefit and system-failure risk can support generating an increased robustness in risk control for water resources allocation under uncertainties, which is beneficial to adjust the current water-allocation sustainably.
CONFERENCE-ARTICLE 6 Reads 0 Citations An Inexact Fuzzy Optimization Programming with Hurwicz Criterion (IFOPH) for Sustainable Irrigation Planning in Arid Reg... Zeng Xueting, Yongping Li Published: 31 October 2014
Proceedings of The 4th World Sustainability Forum, doi: 10.3390/wsf-4-a002
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In the past decades, sustainability in irrigation planning has been of concern to many researchers and managers. However, uncertainties existed in irrigation planning system can bring about enormous difficulties and challenges in generating desired decision alternatives to attain the aim of sustainability. In this study, an inexact fuzzy optimization programming with Hurwicz criterion (IFOPH) is developed for sustainable irrigation planning under uncertainty, which incorporate two-stage stochastic programming (TSP), interval-parameter programming (IPP), fuzzy credibility-constraint programming (FCP) and Hurwicz criterion (TCP-CH) within an framework. The IFOPH approach can not only provide an effective linkage between conflicting economic benefits and the associated penalties attributed to the violation of the pre-regulated policies, but also tackle uncertainties expressed as probabilistic distributions, fuzzy sets and interval values. The developed method is applied to the real case of planning sustainable irrigation in Tarim Basin, which is one of the aridest regions of China. The results based on confidence degrees and Hurwicz parameters are obtained, which can permit in-depth analyses of various policy scenarios of that are associated with different levels of economic penalties. Meanwhile, the results reveal that appropriate irrigation planning can improve the efficiency of water allocations, which has brought positive effects on remedying water deficit and promoting the sustainable development of agricultural production activities. Moreover, tradeoffs between economic benefit and system-failure risk based on Hurwicz criterion can support generating an increased robustness in risk control, which can facilitate the local decision makers in adjusting water-allocation pattern to satisfy the increasing water demand.