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Spatiotemporal pattern and multi-scenario simulation of ecological risk in mountainous cities: a case study in Chongqing, China

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ENVIRONMENTAL MONITORING AND ASSESSMENT 2023年第6期195卷 760-760页

作者： Wang, Zhaoyang Zhang, Junyi Li, Haiyi Zhang, Fengtai Chongqing Normal Univ Sch Geog & Tourism Chongqing 401331 Peoples R China Chongqing Normal Univ Chongqing Key Lab Surface Proc & Environm Remote S Chongqing 401331 Peoples R China Chongqing Univ Technol Sch Management Chongqing 400054 Peoples R China

Scientific descriptions and simulations of the ecological risks in mountainous areas can promote the sustainable use of land resources in these areas and improve the reliability of decision-making for ecological risk management. Taking Chongqing, China, as an example, we constructed a landscape ecological risk (LER) evaluation model based on land use data from 1995 to 2020 and analysed the spatiotemporal evolution characteristics of the LER pattern. Moreover, we coupled the patch-generating land use simulation (PLUS) model and multi-objective programming (MOP) method and input multiple scenarios (inertial development, ID;economic priority development, ED;ecological priority development, PD;and sustainable development, SD) to simulate the ecological risk pattern in 2030. The model coupling the "top-down" and "bottom-up" processes obtained optimal land use patterns in different contexts, and it was used to perform a spatially explicit examination of LER evolutionary trends in different contexts. The results showed that LER evolution in Chongqing has had obvious stage characteristics. The high-risk area decreased significantly under various constraints, including topographic, economic, and other constraints, and the distribution showed a trend of high in the west and low in the east. The LER spatial clustering characteristics were highly coupled with the risk level pattern. The ED scenario presented the most severe risk, the PD scenario presented a moderate risk, and the SD scenario balanced the land demand for economic and ecological development and had a better land use structure and LER compared with the other scenarios. The coupled model proposed in this study helps to obtain the optimal land use structure and mitigate ecological risks, thus providing a scientific basis for future urban development.

关键词： Ecological risk multi-scenario simulation Spatial autocorrelation multi-objective programming

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A credibility-based interval multi-objective crop area planning model for agricultural and ecological management

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AGRICULTURAL WATER MANAGEMENT 2022年第0期269卷

作者： Chen, Junxu Zhang, Chenglong Guo, Ping China Agr Univ Coll Water Resource & Civil Engn Beijing 100083 Peoples R China Natl Observ & Res Stn Oasis Agr Ecosyst Wuwei Gansu Peoples R China

This study presents a credibility-based interval multi-objective crop area planning model for agricultural and ecological management under uncertainty. The model is developed through the integrations of interval multi-objective programming and fuzzy credibility-constrained programming by considering economic and ecological benefits of the study system, and dealing with interval and fuzzy uncertainties. It focuses on crop area optimization with the interval objective function of maximizing the system benefits, maximizing the watershed area, and fractional interval objective function of maximizing the land productivity (i.e., system benefits per unit area). Additionally, the relationship between watershed area and ecological discharge is expressed as interval linear function, which is estimated by using interval regression analysis method. Then, the model is applied to a case study in Minqin County in the lower reaches of Shiyang River Basin for crop area optimization in view of the increasing shortage of water resources and the competition between agricultural and ecological water use. Optimal solutions for different scenarios can be generated based on fuzzy credibility constraints when the pre-defined credibility levels are set as 0.6, 0.7 and 0.8, 0.9, respectively. The results show that the crop area optimization model can better balance the regional agricultural and ecological benefits while ensuring grain production and promoting water saving. Moreover, a higher level of credibility corresponds to a lower system benefit but a larger watershed area. When credibility level is raised from 0.6 to 0.9, the upper bounds of system benefits are decreased from 13.87x10(8) Yuan to 13.81x10(8) Yuan whereas the watershed area is increased from 41.01 km(2) to 42.12 km(2). These various optimal results can help decision makers weigh system benefits and constraint-violation risks. Therefore, the results of the model can provide decision-making basis for the crop area optimizat

关键词： Interval multi-objective programming Credibility Ecological management Crop area planning Uncertainty

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A scenario-based robust possibilistic model for a multi-objective electronic reverse logistics network

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INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS 2020年 224卷 107557-107557页

作者： Tosarkani, Babak Mohamadpour Amin, Saman Hassanzadeh Zolfagharinia, Hossein Ryerson Univ Dept Mech & Ind Engn Toronto ON Canada Ryerson Univ Ted Rogers Sch Management 575 Bay St Toronto ON Canada Cape Breton Univ Shannon Sch Business Sydney NS Canada

Electronic reverse logistics topic has received growing attention because of its environmental and economic impact. In Canada, the province of Ontario has enacted regulations regarding the Waste Electrical and Electronic Equipment (WEEE) Recycling program. The objective of this study is to develop a novel scenario-based robust possibilistic approach to optimize and configure an electronic reverse logistics network by considering the uncertainty associated with fixed and variable costs, the quantity of demand and return, and the quality of returned products. A Monte Carlo simulation is utilized to analyze the performance of our proposed model. Then, ANOVA test is conducted to statistically verify our model using the simulation results. The mathematical model is extended to the multi-objective optimization by maximising the environmental compliance of the third parties. The efficient solutions of the multi-objective model are computed using the two-phase fuzzy compromise approach. To provide a comprehensive assessment of the problem under investigation, we provide sensitivity analyses on the impact of different factors (e.g., recovery rates, capacity of facilities) on the total expected profit. Several interesting results were obtained, including the fact that increasing the capacity of facilities does not automatically translate into higher profits. Furthermore, by comparing the efficient solutions of deterministic and robust modes, we illustrate the impact of robustness price on the multi-objective model. The application of the proposed model is illustrated using a network in the Greater Toronto Area (GTA) in Canada.

关键词： Electronic reverse logistics Third party selection Robust possibilistic optimization Scenario-based programming multi-objective programming

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Optimization of water resource dispatching for Huanghua Port under uncertain water usage scenario

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SCIENCE OF THE TOTAL ENVIRONMENT 2021年 751卷 141597-141597页

作者： Fang, Yong Wang, Yanjiao Liu, Qiang Luo, Kan Liu, Zhonghua Beijing Univ Chem Technol Sch Econ & Management Beijing 100029 Peoples R China State Energy Grp Huanghua Port Co Ltd Informat Ctr Huanghua 061113 Hebei Peoples R China

In recent years, large-scale coal bulk cargo ports have been vigorously promoting the green and intelligent construction, it is an important problem for them to manage water resources scientifically and effectively to realize energy conservation and environmental protection under uncertain circumstances. Taking Huanghua Port of Shenhua Group in China as an example, firstly, through a systematic review of the water resource dispatching infrastructures and production operations, the four-level water resource dispatching framework of Huanghua Port was obtained. Secondly, an uncertain multi-objective programming model is constructed to comprehensively consider the cost of water purchase, the energy consumption of water diversion, and the uncertainty of water usage. Then, an algorithm is designed according to the characteristics of the model. Finally, the applicability and effectiveness of the water resource dispatching framework, optimization model, and solution algorithm are verified by the analysis of 8 typical production water scenarios. This study not only provides Huanghua Port with a water resource dispatching optimization solution but also provides a decision-making reference for the green and intelligent transformation and upgrading of other large-scale coal bulk ports. (C) 2020 Elsevier B.V. All rights reserved.

关键词： Water resource dispatching Uncertainty multi-objective programming Decision-making support Huanghua Port

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Developing a two-stage model for a sustainable closed-loop supply chain with pricing and advertising decisions

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JOURNAL OF CLEANER PRODUCTION 2021年 309卷 127165-127165页

作者： Khorshidvand, Behrooz Soleimani, Hamed Sibdari, Soheil Esfahani, Mir Mehdi Seyyed Islamic Azad Univ Qazvin Branch Fac Ind & Mech Engn Qazvin Iran Univ Melbourne Sch Math & Stat Parkville Vic 3010 Australia Univ Massachusetts Charlton Coll Business Dartmouth MA USA Amirkabir Univ Technol Fac Ind Engn & Management Syst Tehran Polytech Tehran Iran

Closed-Loop Supply Chain (CLSC) has become a critical problem due to its effects on various factors including economic motivations, environmental concerns, and social impacts. Moreover, there are coordination tools, such as pricing and advertising, which impact its performance. In this paper, we offer a two-stage approach to model and solve a sustainable CLSC, taking into account pricing, green quality, and advertising. In the first stage, optimal decisions on pricing, greening, and advertising are made, while in the second stage, a fuzzy multiobjective Mixed Integer Linear programming (MILP) model is used to maximize the total profit, reduce CO2 emissions, and improve social impacts. Suitable solution methods are introduced according to the scale of the problem. For small-scale instances, an augmented epsilon-constraint method is used to solve the problem. For largescale instances, approximations are required, and a Lagrangian relaxation algorithm solves the problem in polynomial time. The performance of the proposed model is evaluated through various numerical examples. The results illustrate the applicability and efficiency of the model, while confirming significant improvements in sustainable objectives under optimal pricing, green quality, and advertising. Besides, the proposed Lagrangian relaxation method significantly reduces the computational time for large-scale instances, with only a 2.308% deviation from the optimal results.

关键词： Sustainable closed-loop supply chain multi-objective programming Supply chain pricing Augmented epsilon-constraint Lagrangian relaxation CO2 emissions

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An ε-constraint multi-objective optimization model for web-based convergent product networks using the Steiner tree

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SCIENTIA IRANICA 2015年第3期22卷 1155-1170页

作者： Hassanzadeh, R. Mahdavi, I. Mahdavi-Amiri, N. Mazandaran Univ Sci & Technol Dept Ind Engn Babol Sar Iran Sharif Univ Technol Fac Math Sci Tehran Iran

A convergent product is an assembly shape concept integrating functions and sub-functions to form a final product. To conceptualize the convergent product problem, a web-based network is considered in which a collection of base functions and sub-functions configure the nodes, and each arc in the network is considered to be a link between two nodes. The aim is to find an optimal tree of functionalities in the network, adding value to the product in the web environment. First, an algorithm is proposed to assign the links among bases and sub-functions. Then, numerical values, as benefits and costs, are determined for arcs and nodes, respectively, using a mathematical approach. Also, customer value corresponding to the benefits is considered. Finally, the Steiner tree methodology is adapted to a multi-objective model optimized by an augmented epsilon-constraint method. An example is worked out to illustrate the proposed approach. (C) 2015 Sharif University of Technology. All rights reserved.

关键词： Convergent product Web-based (digital) network multi-objective programming Steiner tree a-constraint

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Research on the Recovery of Irregular Flights under Uncertain Conditions

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World Journal of Engineering and Technology 2021年第4期9卷 755-764页

作者： Xiangfei Meng Xiaoyu Lin Hualei Zhao Jing Yang Department of Service Supporting Air Force Command College Beijing China

This paper mainly studies the problem of irregular flights recovery under uncertain conditions. Based on the analysis of the uncertain factors affecting the flight, taking the total delay time and the total cost of flight delay as the objective function, and considering the constraints of flight plan and passenger journey, an uncertain objective programming model is constructed. Finally, taking OVS airport temporarily closed due to bad weather as an example, the results show that better quality optimization scheme can be obtained by integrating passenger recovery with narrow sense flight recovery stage and implementing integrated recovery.

关键词： Recovery of Irregular Flights Uncertainty Theory multi-objective programming

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Research on layout model and construction planning of aged care institutions for disabled elders in China: based on Nanjing city data

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BMC GERIATRICS 2023年第1期23卷 237-237页

作者： Guo, Xiaojun Shen, Houxue Wen, Qinglan Liu, Sifeng Yang, Yingjie Zhang, Hui Nantong Univ Sch Sci 9 Seyuan Rd Nantong 226019 Peoples R China Nanjing Univ Aeronaut & Astronaut Coll Econ & Management Nanjing 211106 Peoples R China De Montfort Univ Inst Artificial Intelligence Leicester LE1 9BH England

BackgroundTo meet the needs of diversified pension services and the construction of aged care institutions is one of the urgent livelihood issues in China. Under the major national needs of pension and care for the elderly, it is necessary to optimize the allocation of pension and care for the elderly resources, and formulate operational coping strategies and optimization plans. It is of great significance to deal with the urgent problem of population aging in a timely and scientific *** economic benefits and social costs of aged care institutions are regarded as objective functions. To satisfy the economic benefits, it is necessary to reduce the social costs, and its construction quantity can only be an integer. The multi-objective genetic algorithm is improved with integer programming, and the global optimal solution is achieved after several times of searching. Under the multi-objective optimization model, the improved genetic algorithm was combined with the superior and inferior solution distance method to solve the genetic algorithm, and the corresponding objective function value was obtained after rounding. Finally, Pareto optimal solution set is selected by multi-objective decision, and the result of construction planning is *** on multi-attribute decision analysis and taking three years as the construction cycle, the planning scheme of aged care institutions construction in each district of Nanjing in the next 15 years was proposed. In addition, considering the intelligent trend of future pension, the proportion of home-based pension is increasing year by year, and the model is promoted to meet the needs of diversified pension services. With the gradual increase of the elderly population in Nanjing, the proportion of intelligent home-based care has been increasing year by year since 2027, and the construction demand of aged care institutions has also increased. The number of construction at all levels rises gradually in each cycl

关键词： Active aging Layout of aged care institutions Construction planning multi-objective programming Genetic algorithm multiple attribute decision making

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Economic-Environment-Energy (3E) objective-driven integrated municipal waste management under deep complexities - A novel multi-objective approach

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SUSTAINABLE CITIES AND SOCIETY 2022年第0期87卷

作者： Liang, Xiaolin Ji, Ling Xie, Yulei Huang, Guohe Beijing Univ Technol Sch Econ & Management Beijing 100124 Peoples R China Guangdong Univ Technol Inst Environm & Ecol Engn Guangzhou 510006 Guangdong Peoples R China Univ Regina Inst Energy Environm & Sustainable Communities Regina SK S4S 0A2 Canada

Waste-to-energy technologies compatible with recycling are promising solutions for sustainable municipal waste management from both economic and environmental perspectives. This study focuses on the economic -environment-energy (3E) objective-driven integrated waste management optimization problems under deep complexities. A novel multi-objective programming model is developed to assist the optimal decision-making with the consideration of system profit, greenhouse gas emission, and energy recovery simultaneously. Be-sides, it advances existing optimization methods by incorporating interval-valued fuzzy numbers to tackle the ambiguity and the essential fuzziness in experts' judgment. It was verified by a case study from an urban district of Beijing, China. The optimum waste treatment facility planning and waste stream allocation strategies with multi-objective tradeoffs were obtained to support decision-making considering different preferences of impor-tance ranking. In general, incineration and anaerobic digestion would be the main technologies for waste disposal in the study area. Recycling would be greatly encouraged when pursuing more economic profits and greenhouse gas emission reduction. With withdrawing the subsidy in the future, the investment in anaerobic digestion would become less attractive. Meanwhile, the landfill with gas recovery would even become economically infeasible if there is no further reduction in cost. In addition, waste source separation is also a crucial factor for successful integrated waste management. It is suggested that a proper government subsidy and public participation in waste source separation would guarantee the sustainable development of the integrated waste management system.

关键词： Waste-to-energy Waste management Interval-valued fuzzy parameters multi-objective programming

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Optimal configuration of low impact development practices for the management of urban runoff pollution under uncertainty

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JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022年 320卷 115821页

作者： Rong, Qiangqiang Liu, Qiming Xu, Chao Yue, Wencong Su, Meirong Dongguan Univ Technol Res Ctr Ecoenvironm Engn Dongguan 523808 Peoples R China

The urbanization process has seen an accelerated increase in recent decades, leading to urban runoff pollution becoming more prominent. However, uncertainty of the pollution output and complexity of management systems have made controlling urban runoff pollution challenging. Therefore, it is necessary to propose advanced modeling methods for these challenges. This research presents an integrated urban runoff pollution management (IURPM) model for optimal configuration of low impact development (LID) practices under multiple uncertainties. The IURPM model combines the hybrid land-use prediction and improved pollution estimation models with interval parameter, stochastic parameter, and multi-objective programming. The proposed IURPM model can not only predict the output characteristics, but also provide optimal configuration schemes for the LID practices in the management of urban runoff pollution under multiple scenarios. In addition, uncertainties expressed as discrete intervals and probability density function in the management systems can be effectively addressed. A case study of the IURPM model was conducted in Dongguan City, South China. Results show that considerable amounts of urban runoff pollutants would export from Dongguan City by 2025. The export loads and pollution output flux per unit area would have significant spatial heterogeneity. The results further indicate that population size, gross domestic product, and regional area size are expected to play important roles in the pollution export, while impervious surface coverage and population density would likely have great influences on the output flux of urban runoff pollution. Based on the model findings, multiple LID practices should be adopted in Dongguan City to reduce the urban runoff pollution loads. Using the IURPM model, multiple LID implementation schemes can be obtained under different pollution reduction scenarios and significance levels, that can provide decision-making support for urban wate

关键词： Low impact development Urban runoff pollution Land use prediction multi-objective programming Interval stochastic programming

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