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Ding J, Chen Q, Chen Y, Xie X, Sun H, Zhang Q, Ma H. An optimization framework for basin-scale water environmental carrying capacity. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 351:119520. [PMID: 38043311 DOI: 10.1016/j.jenvman.2023.119520] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 10/12/2023] [Accepted: 10/31/2023] [Indexed: 12/05/2023]
Abstract
The interaction between water environment and social economy at a basin scale is complex and challenging to quantify. To address this issue, this study proposes an integrated framework that builds parametric connections among water, contaminants, administrative regions, and social activities. The framework, known as the water environmental carrying capacity (WECC) optimization framework, effectively captures the intricacy of the interaction and integrates socio-economic parameter structure relationships, a water environmental model, a WECC optimization model, and a sensitivity analysis of regulatory parameters. Applied to the Anhui-Huaihe Basin in mid-eastern China, the framework considers nine administrative regions and three economic factors: industry, agriculture, and GDP per capita (pGDP). Results show that the current water environmental carrying capacity of the watershed is insufficient to meet socio-economic development requirements. After optimization, the WECC for industry, agriculture, and pGDP in the region increased by 22.40%, 26.59%, and 15.08% respectively. Overall COD and NH4-N discharge decreased by 13.6% and 14.7% respectively, effectively reducing pollution loads in rivers and enhancing sustainable development potential. At the regional scale, optimization for industry, agriculture, and pGDP exhibited different characteristics, but all aimed to improve efficiency by reducing the K value (pollution discharge/output value ratio). Regions with industrial treatment rates (αwt) below 0.8 should prioritize increasing treatment rates, while those above 0.8 should consider industrial upgrading for enhanced efficiency. For agriculture, important sensitive parameters for farming and livestock breeding are the proportion of high standard farmland (αs) and the scale breeding ratio (αb), which should be increased to above 0.15 and 0.83 respectively for all regions to achieve agricultural optimization. For pGDP optimization, the focus is on improving living environments and reducing pollution discharge, with crucial measures including collecting and treating rural domestic sewage, where the rural toilet improvement rate (αt) in each region should be increased to 0.78 or above. The results emphasize the need for both interregional allocation and intraregional planning to achieve comprehensive basin optimization and a harmonious balance between regional development and water environment.
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Affiliation(s)
- Jue Ding
- State Key Laboratory of Hydrology-Water Resources & Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210098, China; Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China
| | - Qiuwen Chen
- State Key Laboratory of Hydrology-Water Resources & Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210098, China; Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China.
| | - Yuchen Chen
- State Key Laboratory of Hydrology-Water Resources & Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210098, China; Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China
| | - Xianchuan Xie
- Key Laboratory of Poyang Lake Environment and Resource Utilization for Ministry of Education, School of Resource and Environment, Nanchang University, Nanchang, 330031, China
| | - Hao Sun
- State Key Laboratory of Hydrology-Water Resources & Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210098, China; Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China
| | - Qi Zhang
- State Key Laboratory of Hydrology-Water Resources & Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210098, China; Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China
| | - Honghai Ma
- State Key Laboratory of Hydrology-Water Resources & Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing, 210098, China; Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China
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Zheng X, Huang G, Li J, Liu L, Zhai M, Pan X. A sector-disaggregated cross-regional emission analysis for carbon mitigation policies from production and consumption perspectives. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 895:164973. [PMID: 37336401 DOI: 10.1016/j.scitotenv.2023.164973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 05/11/2023] [Accepted: 06/15/2023] [Indexed: 06/21/2023]
Abstract
As one of the most challenging environment issues worldwide, climate change has posed a serious threat to habitat, species, and people's livelihoods. In this study, a sector-disaggregated cross-regional emission analysis model is developed to systematically analyze enviro-economic effects of sector-level carbon mitigation efforts from both production and consumption perspectives for supporting climate change-related policymaking. A special case study of Hubei Province, China, is conducted to demonstrate the potential benefits of its use in the climate change related policymaking field. The power generation sector has been disaggregated into five subsectors based on different power generation technologies to help investigate the potential of such technologies to carbon emission mitigations. The carbon mitigation policy scenarios from both industry optimization and demand substitute perspectives will further be explored to provide bases for decision makers to formulate the desired carbon mitigation policy aimed at different regions and sectors. Results indicate that dominant direct and indirect CO2 emissions in Hubei Province are from the Production and supply of fossil-fuel power sector and Construction sector, respectively. When industry optimization policies on the fossil-fuel power sector (in Hubei), there are significant effects on the CO2 emission mitigation whichever regions. Therefore, industry optimization policies are suggested for implementation in specific sectors with close intersectoral/interprovince trade contacts and significant emissions to achieve joint carbon emission mitigations.
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Affiliation(s)
- Xiaogui Zheng
- Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Guohe Huang
- Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan S4S 0A2, Canada.
| | - Jianyong Li
- Institute of Hydroecology, MWR & CAS, Wuhan 430079, China
| | - Lirong Liu
- Centre for Environmental & Sustainability, University of Surrey, Guildford GU2 7XH, UK
| | - Mengyu Zhai
- Institute of Circular Economy, Beijing University of Technology, Beijing, China
| | - Xiaojie Pan
- Institute of Hydroecology, MWR & CAS, Wuhan 430079, China
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Gao S, Huang G, Zhang P, Xin X, Yin J, Han D, Song T, Rosendahl S, Read S. Rethinking the effects of micro/nanoplastics from the global environmental change and systematic perspective: An aquatic environmental system-based comprehensive assessment approach of micro/nanoplastic impacts. JOURNAL OF HAZARDOUS MATERIALS 2023; 457:131695. [PMID: 37257375 DOI: 10.1016/j.jhazmat.2023.131695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 05/18/2023] [Accepted: 05/22/2023] [Indexed: 06/02/2023]
Abstract
The study on micro/nanoplastic pollution should embrace complexity. Here, we aim to develop an aquatic environmental system-based comprehensive assessment approach of micro/nanoplastic impacts (ACAM) to evaluate the effects of micro/nanoplastics on aquatic ecosystems from the global environmental change (GEC) and systematic perspective. A case study for freshwater systems in Saskatchewan, Canada was conducted to evaluate the comprehensive effects of multiple GEC factors (polystyrene-nanoplastics (PS-NPs), N, P, salinity, dissolved organic matter (DOM), pH, hardness) on Asterococcus superbus based on ten ecologically relevant endpoints. It is found that at the cellular level, PS-NPs and N had an antagonistic interaction on microalgal growth in the Saskatchewan freshwater ecosystem; at the molecular level, the PS-NP-induced changes in lipid composition in microalgae were regulated by P, DOM, and pH. The significance ranking of factor effects suggested that instead of PS-NPs pollution, the fluctuations in pH level, DOM and N concentrations should be paid attention to first in Saskatchewan. Under the combined impact of PS-NPs and other GEC factors, microalgae at station 14 (Qu'Appelle River near highway 56) might have the minimum growth rate with [-0.048, 0.094] d-1 in Saskatchewan. These findings demonstrate the efficacy of the developed ACAM in a more comprehensive and context-specific assessment of MNP risks, providing new insight for the management of MNP pollution.
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Affiliation(s)
- Sichen Gao
- Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Gordon Huang
- Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan S4S 0A2, Canada.
| | - Peng Zhang
- Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Xiaying Xin
- Department of Civil Engineering, Queen's University, Kingston, Ontario K7L 3Z6, Canada
| | - Jianan Yin
- Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Dengcheng Han
- Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Tangnyu Song
- Faculty of Engineering and Applied Science, University of Regina, Regina, Saskatchewan S4S 0A2, Canada
| | - Scott Rosendahl
- Canadian Light Source, Saskatoon, Saskatchewan S7N 2V3, Canada
| | - Stuart Read
- Canadian Light Source, Saskatoon, Saskatchewan S7N 2V3, Canada
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