Article
Operations Research & Management Science
Xiaojiao Tong, Manlan Li, Hailin Sun
Summary: This paper studies a two-stage distributionally robust stochastic bilevel optimization problem under moment uncertainty and proposes corresponding robust optimistic and pessimistic models to solve the problem. The decision rule approach is used to handle bounded optimization problems under fixed recourse and random recourse, and tractable bounded optimization problems are obtained for the original problem. Theoretical results are established and numerical experiments show that the proposed approaches in this paper are reasonable and effective.
JOURNAL OF GLOBAL OPTIMIZATION
(2023)
Article
Thermodynamics
Manfredi Neri, Elisa Guelpa, Vittorio Verda
Summary: The major limitations of district cooling systems are the high capital costs and uncertainties in cost and demand. This paper proposes a two-stage stochastic programming model for optimal design which takes into account the uncertainties and future expansion. The results show that building smaller networks initially and enhancing them in the future is more cost-effective, and the uncertainties in electricity cost and cooling demand have the most influence on the optimal solution.
APPLIED THERMAL ENGINEERING
(2023)
Article
Management
R. Minguez, W. van Ackooij, R. Garcia-Bertrand
Summary: Many practical stochastic optimization problems can be formulated as two-stage stochastic programs, and in situations where risk aversion is of interest, methods such as robust optimization or other risk-functional approaches can be used. This paper focuses on the latter case, particularly when there is a large number of scenarios, proposing a constraint generation algorithm for computational efficiency. The convergence of these algorithms is established and their effectiveness is demonstrated through various numerical experiments.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Software Engineering
Merve Bodur, James R. Luedtke
Summary: Multi-stage stochastic linear programs (MSLPs) are difficult to solve. We propose a new approximation approach, two-stage LDRs, to tackle this problem. By restricting the decisions, we can obtain an approximation of the original problem, and this approach requires fewer assumptions compared to traditional methods.
MATHEMATICAL PROGRAMMING
(2022)
Article
Construction & Building Technology
Chujun Zong, Manuel Margesin, Johannes Staudt, Fatma Deghim, Werner Lang
Summary: This paper proposes a multi-objective stochastic optimization framework for decision-making in the early design phase of building facade design under uncertainty. The framework aims to narrow down the material choices and provide robust solutions. Through a case study, the effectiveness of the framework was validated. The results indicate that insulation and outer wall cladding are the most important parameters in building facade design.
BUILDING AND ENVIRONMENT
(2022)
Article
Management
Dimitris Bertsimas, Shimrit Shtern, Bradley Sturt
Summary: The study introduces a simple approximation scheme based on overlapping linear decision rules for solving data-driven two-stage distributionally robust optimization problems, showing that this scheme is asymptotically optimal under certain conditions, and effective for two-stage stochastic problems without complete recourse.
OPERATIONS RESEARCH
(2022)
Article
Construction & Building Technology
Ali Mirdar Harijani, Saeed Mansour
Summary: The research presents a multi-period two-stage stochastic model for optimal and sustainable use of municipal solid waste (MSW), considering the social, economic, and environmental dimensions of sustainability.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Economics
Ozge Safak, Ozlem Cavus, M. Selim Akturk
Summary: This study proposes a mathematical model for expanding airline flight networks to increase market share. The model considers flight schedule expansion, the impact of departure time decisions on demand distribution, and the fuel efficiency and seat capacity of leased aircraft. The study tackles the challenges of the model through proposing new algorithms and methods.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
(2022)
Article
Mathematics, Applied
Harsha Gangammanavar, Manish Bansal
Summary: In this paper, a sequential sampling-based algorithm, named distributionally robust stochastic decomposition (DRSD) method, is proposed for two-stage distributionally robust linear programming models. The algorithm approximates ambiguity sets using data-driven samples and efficiently constructs approximations of the worst-case expectation function. The numerical results confirm the computational advantage of the DRSD method in solving distributionally robust problems.
SIAM JOURNAL ON OPTIMIZATION
(2022)
Article
Computer Science, Software Engineering
Kim-Manuel Klein
Summary: In this paper, we improve upon an algorithm to solve 2-stage stochastic IPs by introducing an explicit doubly exponential bound on the size of the augmenting steps. This improvement is based on a novel theorem regarding intersections of paths in a vector space. Additionally, we present a doubly exponential lower bound for the size of the augmenting steps, complementing our algorithmic result.
MATHEMATICAL PROGRAMMING
(2022)
Article
Engineering, Multidisciplinary
Ankush Kumar Mishra, Xinyang Liu, Chao Hu, Pingfeng Wang
Summary: The concept of circular economy has been widely adopted to promote sustainable economic growth. Re-X options such as reuse, repair, refurbish, remanufacture, and recycle have been incorporated in product development to reduce waste and pollution. This paper presents a two-stage stochastic optimization model to optimize quality thresholds for reuse, recycling, and remanufacturing, aiming to minimize cost, energy consumption, and environmental impact. The model utilizes reliability information to estimate warranty service cost and end-of-use conditions, and a case study demonstrates its effectiveness in achieving cost and environmental impact reduction in a hybrid manufacturing and remanufacturing process.
APPLIED MATHEMATICAL MODELLING
(2023)
Article
Management
Ahti Salo, Juho Andelmin, Fabricio Oliveira
Summary: This paper introduces the Decision Programming framework, which extends the applicability of influence diagrams and solves multi-stage decision problems using mixed-integer linear programming formulations. Decision Programming allows handling problems with irretrievable earlier decisions, various constraints, multiple value objectives, and endogenous relationship between scenario probabilities and project decisions in project portfolio selection problems.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2022)
Article
Management
Thuy Anh Ta, Wyean Chan, Fabian Bastin, Pierre L'Ecuyer
Summary: This study presents a solution approach for a staffing problem in multi-skill call centers, aiming to find a minimal-cost staffing solution while meeting a target level for service quality. By combining sample average approximation with a decomposition method, the proposed method can effectively handle staffing problems with uncertain demand in various fields.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
(2021)
Article
Computer Science, Software Engineering
Leonardo Lozano, J. Cole Smith
Summary: This article discusses a special class of two-stage stochastic integer programming problems and proposes an approach to finding strong dual formulations using dynamic programming methods. The efficacy of the approach is demonstrated on stochastic traveling salesman problems.
MATHEMATICAL PROGRAMMING
(2022)
Article
Mathematics, Applied
Daniel Duque, Sanjay Mehrotra, David P. Morton
Summary: Distributionally robust optimization is a modeling paradigm used for stochastic optimization models where the distribution of random parameters is unknown. We study two-stage stochastic programs under distributional ambiguity and propose several distributionally robust models with different ambiguity sets. We focus on using the Wasserstein distance and optimal quadratic transport distance to construct the set of probability distributions, considering both unbounded and bounded support sets. We also develop cutting-plane algorithms to solve related problems.
SIAM JOURNAL ON OPTIMIZATION
(2022)
Article
Energy & Fuels
M. S. Liang, G. H. Huang, J. P. Chen, Y. P. Li
Summary: This study develops a chance-constrained fractional programming model for energy-water-carbon nexus systems in the Yangtze River Delta urban agglomeration, China. The model can handle ratio objectives and uncertainties expressed as interval numbers and probability distributions. It is applied to the strategic planning of the energy-water-carbon nexus system, addressing issues of water resource shortage and carbon emission reduction. Comparative results show that the system efficiency-oriented development pattern leads to increased renewable electricity generation, system efficiency, and water resource savings, while also increasing imported electricity and system cost.
Review
Engineering, Environmental
Zixin Zhang, Guohe Huang, Yongping Li, Xiujuan Chen, Yao Yao, Shaojie Ren, Mengna Li, Yuwei Wu, Chunjiang An
Summary: Electrically conductive membranes have been recognized as an effective strategy for water and wastewater treatment, with inorganic membranes attracting much attention due to their inherent merits. This paper provides an overview of recent developments in conductive inorganic membranes, including electrochemical principles, fabrication methods, and major applications in water treatment. It also discusses existing issues and research needs for the future development and application of the electrochemical membrane filtration process based on conductive inorganic membranes.
CHEMICAL ENGINEERING JOURNAL
(2022)
Article
Environmental Sciences
Rongjie Hao, Guohe Huang, Lirong Liu, Yongping Li, Jizhe Li, Mengyu Zhai
Summary: The study developed a sustainable conjunctive water management model (SCWM) to provide a sustainable solution for future multiple-source water saving management measures. Through a case study of Shaanxi province, it revealed the optimal possibility of adapting to water shortage by increasing industrial water efficiency and reducing agricultural final demand.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2022)
Article
Engineering, Environmental
Xiaomei Xu, Xueting Zeng, Yongping Li, Chunrong Wang, Lei Yu, Guohe Huang, Junlong Zhang, Juan Feng, Xinyu Han
Summary: The study establishes a Bayesian simulation-based multi-watershed effluent trading designing model, which can reflect parameter uncertainties in nutrient simulation, reveal detailed optimal trading schemes under the impact of uncertainties and vital factors, and identify optimal effluent trading mechanisms through revealing interaction among trading processes of multiple watersheds. The results provide a solid scientific basis for nonpoint source pollution management as well as effective sustainable development for multi-watershed region.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2022)
Article
Water Resources
J. S. Wu, Y. P. Li, J. Sun, P. P. Gao, G. H. Huang, J. Liu
Summary: The MSEP method integrates multiple global climate models and land-use models to analyze the impacts of climate and land-use changes on runoff, providing various scenarios for future runoff simulations. The study found that climate change is the leading factor in runoff variation, and controlling arable land expansion and improving irrigation efficiency can help mitigate the impact of climate change on water resources management and ecological environmental recovery.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Water Resources
Tangnyu Song, Guohe Huang, Guoqing Wang, Yongping Li, Xiuquan Wang, Chen Lu, Zhenyao Shen
Summary: The study utilizes the developed RegCM ensemble and obtained BMA weights to generate probabilistic projections for future temperature, showing that RegCM coupled with the holtslag PBL scheme driven by HadGEM can provide relatively reliable temperature projections at most climate stations.
JOURNAL OF WATER AND CLIMATE CHANGE
(2022)
Article
Agronomy
Y. Ma, Y. P. Li, G. H. Huang, Y. F. Zhang, Y. R. Liu, H. Wang, Y. K. Ding
Summary: In this study, a copula-based bi-level decentralized programming (CBDP) method is developed and applied to planning water food-ecology (WFE) nexus system in Central Asia. The results show that improving agricultural irrigation efficiency, increasing ecological water allocation, and properly controlling water allocations to specific countries are crucial for optimizing water resource utilization and restoring the ecological environment in Central Asian countries.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Energy & Fuels
P. P. Wang, Y. P. Li, G. H. Huang, S. G. Wang
Summary: This study develops a multivariate statistical input-output model to analyze the water-carbon nexus system, and applies it to the Jing-Jin-Ji region in China. The findings reveal the complex relationship between different industries and their water and carbon consumption and emissions. The study also suggests policy implications for different industries based on their characteristics.
Article
Environmental Sciences
Xiaobo Zhai, Yongping Li, Yuan Ma, Guohe Huang, Yanfeng Li
Summary: With population growth, climate volatility, and economic expansion, the management of surface-groundwater faces significant challenges. In this study, a hybrid factorial optimization programming method is developed to effectively reflect multiple uncertainties and quantify the impacts of factors. A model is formulated for the Amu Darya River Basin, where various scenarios are analyzed. The findings highlight the importance of improving water transport efficiency and utilizing groundwater, as well as the significant effects of uncertainties, risk attitudes, and perception on the system's benefits and water-allocation scheme.
Article
Environmental Sciences
Yakui Ding, Yongping Li, Heran Zheng, Yuan Ma, Guohe Huang, Yanfeng Li, Zhenyao Shen
Summary: China's urban population is projected to increase, leading to a high demand for resource-intensive products. Quantitative analysis of the environmental impacts of urban agglomerations can help balance water conservation, energy use, climate change mitigation, and urban development. The study found that there has been a reduction in water, energy, and carbon emissions intensities in the Pearl River Delta urban agglomeration.
Article
Agronomy
Junlong Zhang, Yongping Li, Li You, Guohe Huang, Xiaomei Xu, Xiaoya Wang
Summary: This study proposes a Bayesian dual risk aversion based stochastic programming method for selecting optimal effluent trading and multi-risk management schemes. By considering uncertain nutrient loading and spatial correlation, the study obtains the optimal trading scheme and risk management scheme, providing guidance for water protection and management.
AGRICULTURAL WATER MANAGEMENT
(2022)
Article
Thermodynamics
Yakui Ding, Yongping Li, Heran Zheng, Jing Meng, Jing Lv, Guohe Huang
Summary: Using the structure-based singular value decomposition method, this study examined the energy-water nexus network in the Pearl River Delta urban agglomeration from 2012 to 2015. The findings indicate that exports are the largest final demand for energy-related water and water-related energy, Shenzhen relies on other cities for E-water and W-energy, and Guangzhou's electricity and equipment manufacture drive the largest energy-water clusters.
Article
Environmental Sciences
Xiaoyang Li, Guohe Huang, Shuguang Wang, Yongping Li, Xiaoyue Zhang, Xiong Zhou
Summary: An interval two-stage fuzzy fractional programming (TFFP) method is developed to facilitate collaborative governance of economy and water resources. The method integrates interval programming, fuzzy programming, two-stage programming, and fractional programming within a general system optimization framework. A case study of Shenzhen, China is provided to demonstrate the proposed approach, showing the allocation of water resources for different sectors and districts, analysis of key pollutants and seawater desalination volume, and evaluation of economic maximization scenarios.
ENVIRONMENTAL POLLUTION
(2022)
Article
Meteorology & Atmospheric Sciences
Li Sun, Jie Sun, Yongping Li, Cai Suo, Jing Liu, Pangpang Gao
Summary: This study proposes a new method (EBICA) to evaluate the joint risk of extreme precipitation indices under climate change. The research finds that climate models are the primary source of uncertainties in predicting extreme precipitation, and predicts the future changes in extreme precipitation in Fujian Province. The findings contribute to the forecasting and warning of extreme precipitation events.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Engineering, Civil
F. Wang, G. H. Huang, Y. Fan, Y. P. Li
Summary: A disaggregated multi-level factorial hydrologic data assimilation model is proposed to explore the direct and composite effects of uncertainties in hydrologic data assimilation systems. The results show that reducing streamflow observation error is the most efficient way to improve predictions, and the data assimilation scheme plays a vital role in hydrological predictions.
JOURNAL OF HYDROLOGY
(2022)
Article
Environmental Sciences
Toshimi Nakajima, Mao Kuragano, Makoto Yamada, Ryo Sugimoto
Summary: This study compared the contribution of submarine groundwater discharge (SGD) to river nutrient budgets at nearshore and embayment scales, and found that SGD-derived nutrients become more important at larger spatial scales.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Fan Liu, Lei Zhang, Chongyang Zhang, Ziguang Chen, Jingguang Li
Summary: NO2 emissions from wall-mounted gas stoves used for household heating have become a significant source of indoor pollution in Chinese urban areas. The high indoor concentration of NO2 poses potential health risks to residents. It is urgently necessary to establish relevant regulations and implement emission reduction technologies to reduce NO2 emissions from wall-mounted gas stoves.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Letter
Environmental Sciences
Hans Peter H. Arp, Raoul Wolf, Sarah E. Hale, Sivani Baskaran, Juliane Gluege, Martin Scheringer, Xenia Trier, Ian T. Cousins, Harrie Timmer, Roberta Hofman-Caris, Anna Lennquist, Andre D. Bannink, Gerard J. Stroomberg, Rosa M. A. Sjerps, Rosa Montes, Rosario Rodil, Jose Benito Quintana, Daniel Zahn, Herve Gallard, Tobias Mohr, Ivo Schliebner, Michael Neumann
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Philomina Onyedikachi Peter, Binessi Edouard Ifon, Francois Nkinahamira, Kayode Hassan Lasisi, Jiangwei Li, Anyi Hu, Chang-Ping Yu
Summary: This study investigates the relationship between dissolved organic matter (DOM) and Rare Earth Elements (REEs) in sediments from Yundang Lagoon, China. The results show four distinct fluorescent components, with protein-like substances being the most prevalent. Additionally, the total fluorescence intensity and LREE concentrations exhibit a synchronized increase from Outer to Inner to Songbai Lake core sediments. The findings demonstrate a strong correlation between DOM content and pollution levels.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Surya Gupta, Pasquale Borrelli, Panos Panagos, Christine Alewell
Summary: The objective of this study is to incorporate soil hydraulic properties into the erodibility factor (K) of USLE-type models. By modifying and improving the existing equations for soil texture and permeability, the study successfully included information on saturated hydraulic conductivity (Ksat) into the calculation of K factor. Using the Random Forest machine learning algorithm, two independent K factor maps with different spatial resolutions were generated. The results show that the decrease in K factor values has a positive impact on the modeling of soil erosion rates.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jesmin Akter, Wendy J. M. Smith, Yawen Liu, Ilho Kim, Stuart L. Simpson, Phong Thai, Asja Korajkic, Warish Ahmed
Summary: The choice of workflow in wastewater surveillance has a significant impact on SARS-CoV-2 concentrations, while having minimal effects on HF183 and no effect on HAdV 40/41 concentrations. Certain components in the workflow can be interchangeable, but factors such as buffer type, chloroform, and homogenization speed can affect the recovery of viruses and bacteria.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yu Luo, Xueting Yang, Diwei Wang, Hongmei Xu, Hongai Zhang, Shasha Huang, Qiyuan Wang, Ningning Zhang, Junji Cao, Zhenxing Shen
Summary: Atmospheric PM2.5, which can generate reactive oxygen species (ROS), is associated with cardiorespiratory morbidity and mortality. The study found that both the mass concentration of PM2.5 and the DTT activity were higher during the heating season than during the nonheating season. Combustion sources were the primary contributors to DTT activity during the heating season, while secondary formation dominated during the nonheating season. The study also revealed that biomass burning had the highest inherent oxidation potential among all sources investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Erin L. Murphy, Leah R. Gerber, Chelsea M. Rochman, Beth Polidoro
Summary: Plastic pollution has devastating consequences for marine organisms. This study uses a trait-based framework to develop a vulnerability index for marine mammals, seabirds, and sea turtles in Hawai'i. The index ranks 63 study species based on their vulnerability to macroplastic pollution, providing valuable information for species monitoring and management priorities.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Kenji Maurice, Amelia Bourceret, Sami Youssef, Stephane Boivin, Liam Laurent-Webb, Coraline Damasio, Hassan Boukcim, Marc-Andre Selosse, Marc Ducousso
Summary: Growing pressure from climate change and agricultural land use is destabilizing soil microbial community interactions. Little is known about microbial community resistance and adaptation to disturbances, hindering our understanding of recovery latency and implications for ecosystem functioning. This study found that anthropic disturbance and natural disturbance have different effects on the topology and stability of soil microbial networks.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Yunhao Li, Yali Feng, Haoran Li, Yisong Yao, Chenglong Xu, Jinrong Ju, Ruiyu Ma, Haoyu Wang, Shiwei Jiang
Summary: Deep-sea mining poses a serious threat to marine ecosystems and human health by disturbing sediment and transmitting metal ions through the food chain. This study developed a new regenerative adsorption material, OMN@SA, which effectively removes metal ions. The adsorption mechanism and performance of the material for metal ion fixation were investigated.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Antonio Medici, Margherita Lavorgna, Marina Isidori, Chiara Russo, Elena Orlo, Giovanni Luongo, Giovanni Di Fabio, Armando Zarrelli
Summary: Valsartan, a widely used antihypertensive drug, has been detected in high concentrations in surface waters due to its unchanged excretion and incomplete degradation in wastewater treatment plants. This study investigated the degradation of valsartan and identified 14 degradation byproducts. The acute and chronic toxicity of these byproducts were evaluated in key organisms in the freshwater trophic chain.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Jiang Lin, Lianbao Chi, Qing Yuan, Busu Li, Mingbao Feng
Summary: This study investigated the photodegradation behavior and product formation of two representative pharmaceuticals in simulated estuary water. The study found that the formed transformation products of these pharmaceuticals have potential toxicity on marine organisms, including oxidative stress and damage to cellular components.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Hua Fang, Dongdong Jiang, Ye He, Siyi Wu, Yuehong Li, Ziqi Zhang, Haoting Chen, Zixin Zheng, Yan Sun, Wenxiang Wang
Summary: This study revealed that exposure to lower levels of air pollutants led to decreased pregnancy rates, with PM10, NO2, SO2, and CO emerging as the four most prominent pollutants. Individuals aged 35 and above exhibited heightened susceptibility to pollutants.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Ali Shaan Manzoor Ghumman, Rashid Shamsuddin, Amin Abbasi, Mohaira Ahmad, Yoshiaki Yoshida, Abdul Sami, Hamad Almohamadi
Summary: In this study, inverse vulcanized polysulfides (IVP) were synthesized by reacting molten sulfur with 4-vinyl benzyl chloride, and then functionalized using N-methyl D-glucamine (NMDG). The functionalized IVP showed a high mercury adsorption capacity and a machine learning model was developed to predict the amount of mercury removed. Furthermore, the functionalized IVP can be regenerated and reused, providing a sustainable and cost-effective adsorbent.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
Article
Environmental Sciences
Rita Bonfiglio, Renata Sisto, Stefano Casciardi, Valeria Palumbo, Maria Paola Scioli, Erica Giacobbi, Francesca Servadei, Gerry Melino, Alessandro Mauriello, Manuel Scimeca
Summary: This study investigated the presence of aluminum in human colon cancer samples and its potential association with biological processes involved in cancer progression. Aluminum was found in tumor areas of 24% of patients and was associated with epithelial to mesenchymal transition (EMT) and cell death. Additional analyses revealed higher tumor mutational burden and mutations in genes related to EMT and apoptosis in aluminum-positive colon cancers. Understanding the molecular mechanisms of aluminum toxicity may improve strategies for the management of colon cancer patients.
SCIENCE OF THE TOTAL ENVIRONMENT
(2024)
