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Due to the extensive application of sulfonamide antibiotics for disease control on humans and livestock, the discharge of their residuals has caused serious pollution to the water environment. To mitigate this pollution, various types of carbonaceous materials have been used as adsorbents to remove antibiotics from water. In this study, adsorption characteristics of three sulfonamide antibiotics on four carbonaceous materials under complex conditions have been explored in terms of the cycle of adsorption, desorption, and re-adsorption processes, single and interactive effects of multiple influencing factors, kinetics, isotherms, and thermodynamics. Adsorption isotherms of the main substance (sulfamethoxazole) in the co-adsorption system were also analyzed to illustrate the competitive effects of coexisting substances (sulfamerazine and sulfamethazine) and the degree of competition. Results showed that initial concentration, pH, and the interactions of them had significant effects on the adsorption process. The optimal combination of these factors was the initial concentration of 30 mg/L, pH value of 4.0, temperature below/beyond 298 K, and ionic strength of 0–0.1 mol/L. The adsorbed amount of SMX was the highest for four materials under the optimal condition (i.e., 91.51 mg/g for PAC, 258.7 mg/g for W-GAC, 184.7 mg/g for 3M-GAC, and 46.14 mg/g for GP). Adsorbents had great potentials to remove sulfonamide antibiotics after desorption, which is valuable for materials' reusability. In addition, the existence of competitive substances would not change main substance's exothermic or endothermic properties. These results could help reveal the adsorption, desorption, and re-adsorption mechanisms of various carbonaceous materials under complicated situations and provide reference to identify the regeneration conditions of adsorbents as well as determine the levels of influencing factors to remove sulfonamides antibiotics from water.
Bin Luo; Guohe Huang; Yao Yao; ChunJiang An; Peng Zhang; Kai Zhao. Investigation into the influencing factors and adsorption characteristics in the removal of sulfonamide antibiotics by carbonaceous materials. Journal of Cleaner Production 2021, 319, 128692 .
AMA StyleBin Luo, Guohe Huang, Yao Yao, ChunJiang An, Peng Zhang, Kai Zhao. Investigation into the influencing factors and adsorption characteristics in the removal of sulfonamide antibiotics by carbonaceous materials. Journal of Cleaner Production. 2021; 319 ():128692.
Chicago/Turabian StyleBin Luo; Guohe Huang; Yao Yao; ChunJiang An; Peng Zhang; Kai Zhao. 2021. "Investigation into the influencing factors and adsorption characteristics in the removal of sulfonamide antibiotics by carbonaceous materials." Journal of Cleaner Production 319, no. : 128692.
In this study, an integrated framework is proposed for agricultural water and land resources management under uncertain circumstances and energy-water nexus. The framework has two components: the optimized interval solutions generation of unknown market quotation and environment situation through the novel interval fuzzy-expectation programming, and the post-optimization decision-making of the tradeoff between system risk and return through risk-explicit interval programming. An optimization model based on the framework was developed from a real description for agricultural water resources system of Guangdong province under considering various crop, multiple water sources, and the related energy consumption in irrigation and drainage. The impact of energy consumption and risk level control on water resources allocation among different crops and system benefits were analyzed. The results indicated that the preference for surface water resources as the main water sources can effectively reduce regional irrigation energy consumption, and the planting area of each crop would have different variations duo to resources endowment constraints. Risk tradeoff-based results can provide valuable information and additional concern for developing low carbon-oriented agricultural water resources management schemes.
Zhiwei Luo; Yulei Xie; Ling Ji; Yanpeng Cai; Zhifeng Yang; Guohe Huang. Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach. Journal of Contaminant Hydrology 2021, 242, 103863 .
AMA StyleZhiwei Luo, Yulei Xie, Ling Ji, Yanpeng Cai, Zhifeng Yang, Guohe Huang. Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach. Journal of Contaminant Hydrology. 2021; 242 ():103863.
Chicago/Turabian StyleZhiwei Luo; Yulei Xie; Ling Ji; Yanpeng Cai; Zhifeng Yang; Guohe Huang. 2021. "Regional agricultural water resources management with respect to fuzzy return and energy constraint under uncertainty: An integrated optimization approach." Journal of Contaminant Hydrology 242, no. : 103863.
The COVID-19 pandemic has induced many issues for all societal sectors, in particular in the production and disposal of municipal solid waste. This may be because successive easing and reimposing of lockdown measures have deeply changed people’s movements, consumers’ behaviors and waste management. Previous studies have focused on the short-term effects of lockdowns on waste changes, yet there is little knowledge on waste variations during successive lockdowns and unlocking of various lockdown intensities. Moreover, the efficiency of lockdown and its relation to people’s mobility in different countries are still not clear. Here, we studied the variations of amount and composition of municipal solid waste before the pandemic in 2019 and during the pandemic in 2020–2021 in USA, Brazil, Canada, UK, France and Italy. We used a stringency index and a composite mobility index to assess the lockdown intensity and people’s movements. Results show that the mobility index sharply decreased with lockdown intensity, and enforcing measures were more efficient in France and Italy. Compared to 2019, prolonged lockdowns caused larger decreases in the quantity of commercial and construction wastes versus household waste. The initial implementation of lockdown or unlocking measures promoted inhabitants’ consumption, generally leading to the increased waste amount, by about 9% for Trento and 12% for Montreal at the beginning of lockdown, respectively. Moreover, larger variations in the waste amount in Trento, from − 25.3 to 9.8%, were in line with higher lockdown intensity compared to those in Montreal, from − 9.5 to 12.7%, affected by people’s mobility, consumers’ behaviors and waste management.
Mengfan Cai; Christophe Guy; Martin Héroux; Eric Lichtfouse; ChunJiang An. The impact of successive COVID-19 lockdowns on people mobility, lockdown efficiency, and municipal solid waste. Environmental Chemistry Letters 2021, 1 -7.
AMA StyleMengfan Cai, Christophe Guy, Martin Héroux, Eric Lichtfouse, ChunJiang An. The impact of successive COVID-19 lockdowns on people mobility, lockdown efficiency, and municipal solid waste. Environmental Chemistry Letters. 2021; ():1-7.
Chicago/Turabian StyleMengfan Cai; Christophe Guy; Martin Héroux; Eric Lichtfouse; ChunJiang An. 2021. "The impact of successive COVID-19 lockdowns on people mobility, lockdown efficiency, and municipal solid waste." Environmental Chemistry Letters , no. : 1-7.
Marine oil spills are often reported as a result of activities associated with oil exploration, production and transportation. The spilled oil may reach the shoreline, and then the stranded oil can persist for a long time, exerting many negative effects on coastal ecosystems. Conventional shoreline cleanup methods cannot effectively remove the oil residues from affected areas and are very expensive. Therefore, the use of alginate hydrogel coatings was proposed as a new initiative for emergent shoreline oiling prevention. The alginate hydrogel-coated gravels showed high surface roughness, as well as remarkable water wetting and low-oil-adhesion properties. There was a low oil adhesion on the coated gravels in the continuous test with oil/water emulsion flow, indicating the excellent oil-repellent properties of the coated substrate. The results of batch oil-repellent tests showed that independent of the kind or weathering degree of the oil used, oil can be easily washed out from the coated gravels. The coated gravels had good environmental stability and the slightly partial de-crosslinking of alginate structure would not reduce the oil repellence performance. Moreover, the performance of the alginate hydrogel-coated gravel was further proved with a laboratory shoreline tank simulator, in which more stranded oil floated to the water surface and less oil remained on gravels and entered into subsurface. This proposed oiling prevention method can be used not only for shorelines but also for coastal piers, seaports, and solid manmade shorelines. The coating material is derived from the biomass in the ocean and can be degraded under natural conditions. This study may provide a unique direction for the future development of green oil spill control strategy.
Huifang Bi; ChunJiang An; Catherine N. Mulligan; Zheng Wang; Baiyu Zhang; Kenneth Lee. Exploring the use of alginate hydrogel coating as a new initiative for emergent shoreline oiling prevention. Science of The Total Environment 2021, 797, 149234 .
AMA StyleHuifang Bi, ChunJiang An, Catherine N. Mulligan, Zheng Wang, Baiyu Zhang, Kenneth Lee. Exploring the use of alginate hydrogel coating as a new initiative for emergent shoreline oiling prevention. Science of The Total Environment. 2021; 797 ():149234.
Chicago/Turabian StyleHuifang Bi; ChunJiang An; Catherine N. Mulligan; Zheng Wang; Baiyu Zhang; Kenneth Lee. 2021. "Exploring the use of alginate hydrogel coating as a new initiative for emergent shoreline oiling prevention." Science of The Total Environment 797, no. : 149234.
Understanding the interactions between oil and other particles in shoreline can help determine the environmental risk and cleanup strategy after oil spill. Nevertheless, far less has been known regarding the impact of aged MPs on oil behavior in the shoreline environment. In this study, the aging course of polyethylene (PE) in shaking seawater and ultraviolet (UV) radiation conditions was investigated. The seawater aging mainly affected the physical properties of MPs, increasing its surface pores and hydrophilicity. UV aging significantly affected both the physical and chemical properties of MPs, which increased its hydrophilicity and crystallinity, decreased its mean particle size and introduced oxygen-containing functional groups onto MPs. The two-dimensional correlation spectroscopy (2D COS) analysis confirmed the evolution of oxygen-containing functional groups from C–O to CO. The effects of aged MPs on oil behavior in water-sand system were further explored. The oil remaining percentages were non-linearly changed with the increasing aging degree of MPs. The particle size of the aqueous phase after washing was inversely related to the oil remaining percentage. Further FTIR analysis revealed that C–O and C–H functional groups played an important role in the process of oil adsorbed on MPs.
Qi Feng; ChunJiang An; Zhi Chen; Jianan Yin; Baiyu Zhang; Kenneth Lee; Zheng Wang. Investigation into the impact of aged microplastics on oil behavior in shoreline environments. Journal of Hazardous Materials 2021, 421, 126711 .
AMA StyleQi Feng, ChunJiang An, Zhi Chen, Jianan Yin, Baiyu Zhang, Kenneth Lee, Zheng Wang. Investigation into the impact of aged microplastics on oil behavior in shoreline environments. Journal of Hazardous Materials. 2021; 421 ():126711.
Chicago/Turabian StyleQi Feng; ChunJiang An; Zhi Chen; Jianan Yin; Baiyu Zhang; Kenneth Lee; Zheng Wang. 2021. "Investigation into the impact of aged microplastics on oil behavior in shoreline environments." Journal of Hazardous Materials 421, no. : 126711.
Virtual water is an important indicator measuring the amount of water needed from the perspective of consumption, which can help decision makers to identify desired system design and optimal management strategy against water resources shortage. In this study, a novel model named as factorial ecologically-extended input-output model (abbreviated as FEIOM) is developed for virtual water management. FEIOM integrates techniques of input-output model (IOM), ecological network analysis (ENA) and factorial analysis (FA) into a general framework. It is effective to evaluate the virtual water flows, reveal ecological inter-connections in virtual water system (VWS), and identify key water consumption sectors that have significant individual and interactive effects on VWS's performance. FEIOM is then applied to identifying optimal virtual water management strategies for Kazakhstan in Central Asia. The main findings are: (i) Kazakhstan is a net importer of virtual water (reaching up to 46.0 × 109 m3), demonstrating that the national economic structure is reasonable, which can abate the national water scarcity and improve its eco-environmental protection; (ii) the virtual water of agricultural sector is net exporter, where vegetables, fruits and nuts occupy 86% of the total agricultural exports; the massive export of water-intensive products further squeezes the water for other users; (iii) the key factors affecting the national VWS are agriculture > primary manufacturing > advanced manufacturing > services. Therefore, from solving water resources shortage and facilitating sustainable development perspectives, Kazakhstan should stimulate the domestic primary manufacturing productions and improve agriculture and advanced manufacturing water-use efficiencies.
X.J. Wu; Y.P. Li; J. Liu; G.H. Huang; Y.K. Ding; J. Sun; H. Zhang. Identifying optimal virtual water management strategy for Kazakhstan: A factorial ecologically-extended input-output model. Journal of Environmental Management 2021, 297, 113303 .
AMA StyleX.J. Wu, Y.P. Li, J. Liu, G.H. Huang, Y.K. Ding, J. Sun, H. Zhang. Identifying optimal virtual water management strategy for Kazakhstan: A factorial ecologically-extended input-output model. Journal of Environmental Management. 2021; 297 ():113303.
Chicago/Turabian StyleX.J. Wu; Y.P. Li; J. Liu; G.H. Huang; Y.K. Ding; J. Sun; H. Zhang. 2021. "Identifying optimal virtual water management strategy for Kazakhstan: A factorial ecologically-extended input-output model." Journal of Environmental Management 297, no. : 113303.
Coastal environment is one of the most important ecological and socioeconomic areas. However, increasing energy demand and economic development lead to a continuous gas and oil exploration, production, and traffics, which notably raise the risk of oil spill accidents in coastal areas. Sensitivity assessment aiming to determine the coastal features that would be severely impaired by spill incidents is a crucial part of the response planning. In this study, an innovative framework for coastal sensitivity mapping that incorporated ecosystem service (ES) valuation and multidimensional assessment was proposed. Sensitivity was computed by valuing physical, biological, and social-economical indicators from ES perspective and separating each indicator into specific coastal domains. For different ES typologies, provisioning services contributed most to the overall ES value followed by culture services, supporting services, and regulating services. For ES value in different coastal domains, the highest value was recorded in the water column followed by water surface, shoreline, and seabed. However, the shoreline ranked highest regarding the ES value per ha. Sensitivity assessment revealed that sensitive areas differed in different domains, both in distribution and extent. Compared with the scoring method, the ES valuation method showed more coincidence with Ecologically and Biologically Significant Areas (EBSA), representing a more precise and practical approach for sensitivity assessment. A three-dimensional (3D) oil spill model was also applied to generate maps of oil contamination probability in shoreline, water surface, and water column. The obtained results highlighted the significance of incorporating different coastal domains into oil spill responses, and the urgent demand to broaden and deepen our understanding of ecological processes across the vertical coastal zones.
Qi Feng; ChunJiang An; Zhi Chen; Edward Owens; Haibo Niu; Zheng Wang. Assessing the coastal sensitivity to oil spills from the perspective of ecosystem services: A case study for Canada's pacific coast. Journal of Environmental Management 2021, 296, 113240 .
AMA StyleQi Feng, ChunJiang An, Zhi Chen, Edward Owens, Haibo Niu, Zheng Wang. Assessing the coastal sensitivity to oil spills from the perspective of ecosystem services: A case study for Canada's pacific coast. Journal of Environmental Management. 2021; 296 ():113240.
Chicago/Turabian StyleQi Feng; ChunJiang An; Zhi Chen; Edward Owens; Haibo Niu; Zheng Wang. 2021. "Assessing the coastal sensitivity to oil spills from the perspective of ecosystem services: A case study for Canada's pacific coast." Journal of Environmental Management 296, no. : 113240.
As a maritime nation, Canada is the home to high-quality offshore wind resources. The assessment of Canada's offshore wind resources has a strategic significance for realizing its low-carbon future. This study focused on high-resolution and high-accuracy estimates of offshore wind resources over Canada using satellite-derived wind maps, e.g., CCMP (Cross-Calibrated Multi-Platform) images from 1988 to 2017. The CCMP derived wind speed and density were bias-corrected by ocean surface wind measurements collected from 63 stations located along the seas/lakes in Canada from 1987 to 2018. A series of consistent offshore wind resource maps were produced and analyzed. The results generated from CCMP were then compared with previous assessment (i.e., Environment and Climate Change Canada (ECCC)'s Wind Atlas) and proved to perform better in simulating wind speeds. We estimated the technically available offshore wind area, gross power capacity and gross potential over Canada. For example, a gross potential production of 20.348, 20.441, and 20.376 PWh/year were calculated using three commercial offshore wind turbines, i.e. GE 3.6s, REpower 5 M, and V164–8.0 over the calculated total gross offshore area of 1.053 million km2. It far exceeds the Canada's electricity consumption (i.e., 0.641 PWh) in 2018. In addition, most of the potential power productions are distributed in the Canadian Atlantic and Pacific Oceans, Hudson Bay and St Lawrence, with the mean wind speeds increasing from 1988 to 2017. This study can help to assess offshore wind resources and provide decision-makers with some scientific evidences for developing offshore wind in Canada.
Cong Dong; Guohe (Gordon) Huang; Guanhui Cheng. Offshore wind can power Canada. Energy 2021, 236, 121422 .
AMA StyleCong Dong, Guohe (Gordon) Huang, Guanhui Cheng. Offshore wind can power Canada. Energy. 2021; 236 ():121422.
Chicago/Turabian StyleCong Dong; Guohe (Gordon) Huang; Guanhui Cheng. 2021. "Offshore wind can power Canada." Energy 236, no. : 121422.
Microplastic (MP) pollution has been regarded as a worldwide environmental problem, even in the Arctic areas. Currently, permafrost may be an important potential sink of airborne MPs. However, under climate change, permafrost will severely degrade and thaw in the future, thus affecting the global MP cycling. In this discussion, the potential effects of permafrost degradation on MP cycling under climate change are elaborated. These effects have not been paid attention in MP-related research.
Xiujuan Chen; Guohe Huang; Sichen Gao; Yinghui Wu. Effects of permafrost degradation on global microplastic cycling under climate change. Journal of Environmental Chemical Engineering 2021, 9, 106000 .
AMA StyleXiujuan Chen, Guohe Huang, Sichen Gao, Yinghui Wu. Effects of permafrost degradation on global microplastic cycling under climate change. Journal of Environmental Chemical Engineering. 2021; 9 (5):106000.
Chicago/Turabian StyleXiujuan Chen; Guohe Huang; Sichen Gao; Yinghui Wu. 2021. "Effects of permafrost degradation on global microplastic cycling under climate change." Journal of Environmental Chemical Engineering 9, no. 5: 106000.
Oil spills are a serious environmental problem. To better support risk assessment and pollution control for oil spills, a good understanding of oil transport in the environment is required. This study focused on the numerical simulation of the nearshore oil behaviors based on computational fluid dynamics. Based on the Navier-Stokes momentum equations for an incompressible viscous fluid and volume of fluid (VOF) method, a 3D numerical model of three-phase transient flow was developed. The wave number, averaged flow velocity and oil properties would affect the oil spread extent and the oil volume fraction. The higher the averaged flow velocity and wave number, the lower the oil concentration, and the faster the horizontal movement of the oil. The spilled oil may move to contact the seafloor by increasing the averaged flow velocity at the inlet boundary. Through increasing the wave number, the oil would stay near the water surface. In the nearshore, where the wave is the main seawater motion, the oil containment boom should be set preferentially to the direction of wave transmission for oil cleaning. This study shows that by doubling the wave number and increasing the averaged flow velocity (ten times) at the same time, the maximum oil volume fraction would be reduced by around 32%. Finally, the water temperature had no significant impact on the oil migration, and the impact of evaporation should be considered in the simulation.
Mohammadmehdi Raznahan; ChunJiang An; S. Samuel Li; Xiaolong Geng; Michel Boufadel. Multiphase CFD simulation of the nearshore spilled oil behaviors. Environmental Pollution 2021, 288, 117730 .
AMA StyleMohammadmehdi Raznahan, ChunJiang An, S. Samuel Li, Xiaolong Geng, Michel Boufadel. Multiphase CFD simulation of the nearshore spilled oil behaviors. Environmental Pollution. 2021; 288 ():117730.
Chicago/Turabian StyleMohammadmehdi Raznahan; ChunJiang An; S. Samuel Li; Xiaolong Geng; Michel Boufadel. 2021. "Multiphase CFD simulation of the nearshore spilled oil behaviors." Environmental Pollution 288, no. : 117730.
Research on the overall social, economic and environmental (SEE) impacts of water resources projects (WRP) has gradually attracted attention. However, the WRP-related indirect impacts as linked through various supply chains from a number of disaggregated sectors and their interactive relationship are rarely studied. Here in this study, under a general disaggregated input-output (IO) framework, a distributive Three Gorges Project input-output (DTGIO) model is developed to investigate the composite effects of Three Gorges Project (TGP) based on a disaggregated TGP-IO table for the Yangtze River economic belt (YREB). DTGIO model could facilitate exploring i) the interactions among key TGP-related effects from production and consumption sides; ii) the impacts of various TGP-induced changes on specific SEE sectors; iii) the detailed TGP water flow paths as induced by the final demand of each province in YREB. It is discovered that the TGP has the greatest impact on agriculture. Although the construction of the TGP submerged a large amount of land and adversely affected agriculture in the reservoir area, its effective flood control function can reduce flooding in the “land of fish and rice” and create favorable conditions for agricultural development. The connection between the TGP and the inner provinces of YREB is mainly realized by the hydropower generation sector. For the economic benefits of the TGP, the economic benefits of the investment of various sectors of the TGP are diversified, which should be adjusted according to the government's objectives. For the ecological effects of the TGP, the interaction of sectors (especially the irrigation service sector and hydropower generation sector on consumption side, and the hydropower generation sector and water supply sector on production side) should be valued and a sense of joint management for the relevant sectors of TGP should be established.
Mengyu Zhai; Guohe Huang; Jianyong Li; Xiaojie Pan; Shuai Su. Development of a distributive Three Gorges Project input-output model to investigate the disaggregated sectoral effects of Three Gorges Project. Science of The Total Environment 2021, 797, 148817 .
AMA StyleMengyu Zhai, Guohe Huang, Jianyong Li, Xiaojie Pan, Shuai Su. Development of a distributive Three Gorges Project input-output model to investigate the disaggregated sectoral effects of Three Gorges Project. Science of The Total Environment. 2021; 797 ():148817.
Chicago/Turabian StyleMengyu Zhai; Guohe Huang; Jianyong Li; Xiaojie Pan; Shuai Su. 2021. "Development of a distributive Three Gorges Project input-output model to investigate the disaggregated sectoral effects of Three Gorges Project." Science of The Total Environment 797, no. : 148817.
Alberta has over 70% of total irrigated land in Canada and 13 irrigation districts are mainly located along the rivers in southern Alberta. The runoff and irrigation return flow can carry excess nutrients, pesticides, and sediments, which adversely affect the river water quality. In the present study, the comprehensive spatiotemporal analysis of land use pattern and stream water quality in southern Alberta was conducted. The water quality monitoring on the South Saskatchewan River watershed within Alberta showed that most water quality indicators did not significantly change between 2003 and 2017. Land use maps demonstrated significant urban expansion and cropland decline in the study area from 2005 to 2015, while the irrigation area increased. Correlation analysis and redundancy analysis revealed that cropland, built-up land, and native grassland were three land use types that were positively correlated with water quality indicators. Stronger correlations between nitrogen concentration and built-up land were found in dry seasons compared with wet seasons. According to the results of cluster analysis, higher water quality indicator concentrations could be observed in groups with a higher proportion of cropland and built-up land. Significant relationships between land use patterns and water quality were found in this study, which demonstrated that further investigation is needed to identify the sources of water pollutants at a smaller scale.
Zhikun Chen; ChunJiang An; Qian Tan; Xuelin Tian; Gongchen Li; Yang Zhou. Spatiotemporal analysis of land use pattern and stream water quality in southern Alberta, Canada. Journal of Contaminant Hydrology 2021, 242, 103852 .
AMA StyleZhikun Chen, ChunJiang An, Qian Tan, Xuelin Tian, Gongchen Li, Yang Zhou. Spatiotemporal analysis of land use pattern and stream water quality in southern Alberta, Canada. Journal of Contaminant Hydrology. 2021; 242 ():103852.
Chicago/Turabian StyleZhikun Chen; ChunJiang An; Qian Tan; Xuelin Tian; Gongchen Li; Yang Zhou. 2021. "Spatiotemporal analysis of land use pattern and stream water quality in southern Alberta, Canada." Journal of Contaminant Hydrology 242, no. : 103852.
To prevent the transmission of the Coronavirus (SARS-CoV-2) in the public, the demand and consumption of personal protective equipment (PPE) increased drastically. Such wide use of PPE has brough a new challenge to waste management and disposal. It is difficult to sort PPE waste before further treatment, and such waste will often end up being processed by some traditional disposal methods. During the pandemic, incineration and landfill facilities are currently under significant pressure. In addition, a certain amount of PPE waste is discarded into the environment rather than going to landfills and incinerators. It not only directly affects the ecosystem, but also indirectly threatens human health through various routes of exposure. PPE waste is also the source and carrier of pathogens and chemical contaminants, causing a secondary pollution. Therefore, it is necessary to establish appropriate strategies to deal with the PPE problems related to energy, environment and health, requiring the collaborative efforts of researchers, practitioners, policymakers, and governments.
Zheng Wang; Christophe Guy; Kelvin Ng; ChunJiang An. A New Challenge for the Management and Disposal of Personal Protective Equipment Waste during the COVID-19 Pandemic. Sustainability 2021, 13, 7034 .
AMA StyleZheng Wang, Christophe Guy, Kelvin Ng, ChunJiang An. A New Challenge for the Management and Disposal of Personal Protective Equipment Waste during the COVID-19 Pandemic. Sustainability. 2021; 13 (13):7034.
Chicago/Turabian StyleZheng Wang; Christophe Guy; Kelvin Ng; ChunJiang An. 2021. "A New Challenge for the Management and Disposal of Personal Protective Equipment Waste during the COVID-19 Pandemic." Sustainability 13, no. 13: 7034.
Bioenergy is considered a promising alternative to achieve carbon neutrality and emission reduction. There is a debate over the role of bioenergy in climate change mitigation because of carbon emissions from the production and utilization of biofuels. Recently, studies on emissions of biogenic volatile organic compounds (BVOCs) have substantially increased as they have a significant impact on human health and climate change due to large emissions and high reactivity. A scientometric analysis of 2895 journal papers during 1991 and 2020 related to BVOC emissions from the Web of Science Core Collection was conducted by CiteSpace and Carrot2. Results showed that three main knowledge domains were BVOC emissions and drivers, BVOCs and their oxidation products in biosphere-atmosphere exchange, and soil BVOCs in plant-microbe interactions during the period under study. Generally, the relationships between plant BVOC emissions and environmental variables (e.g., temperature, drought, light solar radiation, humidity, availability of nutrients, carbon dioxide, ozone, etc.) can be investigated by measurement techniques (i.e., chamber) or models (i.e., Model of Emissions of Gases and Aerosols from Nature). Soils could work as both the sink and source of BVOCs through various processes that are affected by soil temperatures, pH, organic matter, and moisture. Anthropogenic activities might affect the emission of BVOCs and promote the formation of BVOC-derived pollutants (e.g., ozone, particles, etc.). Incorporating BVOC emissions and their relationships with pollutants, biomass, and energy into environmental management and decision-making is a promising direction.
Mengfan Cai; ChunJiang An; Christophe Guy. A scientometric analysis and review of biogenic volatile organic compound emissions: Research hotspots, new frontiers, and environmental implications. Renewable and Sustainable Energy Reviews 2021, 149, 111317 .
AMA StyleMengfan Cai, ChunJiang An, Christophe Guy. A scientometric analysis and review of biogenic volatile organic compound emissions: Research hotspots, new frontiers, and environmental implications. Renewable and Sustainable Energy Reviews. 2021; 149 ():111317.
Chicago/Turabian StyleMengfan Cai; ChunJiang An; Christophe Guy. 2021. "A scientometric analysis and review of biogenic volatile organic compound emissions: Research hotspots, new frontiers, and environmental implications." Renewable and Sustainable Energy Reviews 149, no. : 111317.
As a volatile organic compound existing in the atmosphere, methanol plays a key role in atmospheric chemistry due to its comparatively high abundance and long lifetime. Croplands are a significant source of biogenic methanol, but there is a lack of systematic assessment for the production and emission of methanol from crops in various phases. In this study, methanol emissions from spring wheat during the growing period were estimated using a developed emission model. The temporal and spatial variations of methanol emissions of spring wheat in a Canadian province were investigated. The averaged methanol emission of spring wheat is found to be 37.94 ± 7.5 μg·m−2·h−1, increasing from north to south and exhibiting phenological peak to valley characteristics. Moreover, cold crop districts are projected to be with higher increase in air temperature and consequent methanol emissions during 2020–2099. Furthermore, the seasonality of methanol emissions is found to be positively correlated to concentrations of CO, filterable particulate matter, and PM10 but negatively related to NO2 and O3. The uncertainty and sensitivity analysis results suggest that methanol emissions show a Gamma probabilistic distribution, and growth length, air temperature, solar radiation and leafage are the most important influencing variables. In most cases, methanol emissions increase with air temperature in the range of 3–35 °C while the excessive temperature may result in decreased methanol emissions because of inactivated enzyme activity or increased instant methanol emissions due to heat injury. Notably, induced emission might be the major source of biogenic methanol of mature leaves. The results of this study can be used to develop appropriate strategies for regional emission management of cropping systems.
Mengfan Cai; ChunJiang An; Christophe Guy; Chen Lu; Fereshteh Mafakheri. Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study. Environmental Pollution 2021, 287, 117602 .
AMA StyleMengfan Cai, ChunJiang An, Christophe Guy, Chen Lu, Fereshteh Mafakheri. Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study. Environmental Pollution. 2021; 287 ():117602.
Chicago/Turabian StyleMengfan Cai; ChunJiang An; Christophe Guy; Chen Lu; Fereshteh Mafakheri. 2021. "Assessing the regional biogenic methanol emission from spring wheat during the growing season: A Canadian case study." Environmental Pollution 287, no. : 117602.
In this study, a chance-constrained small modular reactor siting (CCSS) model has been first proposed for planning regional electric power systems in the Province of Saskatchewan under the pressure of greenhouse gas emission mitigation. Through incorporating three programming methods (interval linear programming, chance-constrained programming, and mixed-integer programming) in an optimization framework, the CCSS model could effectively deal with multiple uncertainties expressed as probability distribution and intervals in constraints and objectives. Since locations of retired coal-fired power stations have been proposed as new sites for small modular reactor (SMR), this model could provide the construction planning for SMR in terms of its sizes and sites. Various solutions to power generation and capacity expansion with different risk levels were obtained under the objective of minimal system costs. Results are helpful for identifying optimized strategies to increase the proportion of renewable energy under emission constraints. In addition, model without introducing the technology of SMR has been comprehensively compared with the CCSS model to recognise the effects of SMR on system costs and greenhouse gas emissions. Results indicate that the CCSS model is effective for supporting long-term clean and renewable energy utilization as well as emission reduction policy formulation in Saskatchewan.
Bin Luo; Guohe Huang; Jiapei Chen; Xiaoyue Zhang; Kai Zhao. A chance-constrained small modular reactor siting model -- a case study for the Province of Saskatchewan, Canada. Renewable and Sustainable Energy Reviews 2021, 148, 111320 .
AMA StyleBin Luo, Guohe Huang, Jiapei Chen, Xiaoyue Zhang, Kai Zhao. A chance-constrained small modular reactor siting model -- a case study for the Province of Saskatchewan, Canada. Renewable and Sustainable Energy Reviews. 2021; 148 ():111320.
Chicago/Turabian StyleBin Luo; Guohe Huang; Jiapei Chen; Xiaoyue Zhang; Kai Zhao. 2021. "A chance-constrained small modular reactor siting model -- a case study for the Province of Saskatchewan, Canada." Renewable and Sustainable Energy Reviews 148, no. : 111320.
With the rapid growth of the economy, there are increasing conflicts between economic development and environmental protection. Among these conflicts, the wastewater emission management as one of the significant ways to alleviate water scarcity has been paid increasing attention across the developing countries, such as China. It is thus essential to comprehensively investigate the enviro-economic effects induced by wastewater-related policies. In this study, a factorial emission-focused general equilibrium model (FEGE) is first developed to facilitate examine the composite enviro-economic effects of multiple policy scenarios with regards to wastewater-related environmental taxes and the related subsides. A special case study for the Municipality of Chongqing, China, is conducted to illustrate the potential benefits of its use in the formulation of wastewater-related policies. It is found that the impacts of various wastewater-related policies (i.e., environmental taxes and the related subside) on GDP are different. In detail, green tax policies on GDP are negative, while wastewater emission intensity (WEI) improvement policies on GDP are positive. When green tax reaches 14 yuan/tonne, which is the maximum proposed by the Chinese government, the GDP will drop by 0.37%, which would be deemed acceptable for the Municipality of Chongqing. In addition, the impacts on rural households’ consumption are greater than those on urban households’ consumption whichever the application of wastewater-related policies; it is because the rural households in the Municipality of Chongqing have a relatively unitary income source. It is thus recommended that the rural household in Chongqing should be paid more attention. For example, some extra allowances could be considered to the rural household to help them cope with the negative economic impacts induced by a new environmental policy. It is expected that the outputs would provide bases for formulating desired wastewater-related policies.
Xiaogui Zheng; Guohe Huang; Jianyong Li; Lirong Liu; Xiaoyue Zhang; Xiaojie Pan. A factorial emission-focused general equilibrium model for investigating composite effects of multiple environmental policies. Water Research 2021, 201, 117336 .
AMA StyleXiaogui Zheng, Guohe Huang, Jianyong Li, Lirong Liu, Xiaoyue Zhang, Xiaojie Pan. A factorial emission-focused general equilibrium model for investigating composite effects of multiple environmental policies. Water Research. 2021; 201 ():117336.
Chicago/Turabian StyleXiaogui Zheng; Guohe Huang; Jianyong Li; Lirong Liu; Xiaoyue Zhang; Xiaojie Pan. 2021. "A factorial emission-focused general equilibrium model for investigating composite effects of multiple environmental policies." Water Research 201, no. : 117336.
Despite advances in technology and safety measures, accidental releases of crude oil and refined products into marine and freshwater environments remains a major environmental concern. To minimize the impacts of future spills on our aquatic ecosystems and human health, numerous studies have been refocused on the development of novel approaches to remove oil from water. An emerging low-cost, eco-friendly method is based on the use non-toxic and biodegradable cellulose-based sorbents for oil retrieval and recovery from water. Herein we seek to succinctly analyze the progress of cellulose-based materials developed to date in terms of their effectiveness as an oil sorbent and development potential into a commercial product for oil spill recovery operations. The results of the review highlight the potential use of cellulose nanocrystals and cellulose nanofibrils as sorbent materials with highly desirable properties for oil spills cleanup. With unique hydrophobic and oleophilic properties (in terms of oil selectivity) and physical and mechanical properties (high surface area and small pore size), cellulose-based sorbents may be an ideal alternative material for use in cleaning up oil spills. Combining both hydrophobic and magnetic properties by introduction of iron oxide nanoparticles offers high reusability and functionality, easy operation and facile separation of the cellulose-based sorbents; thus, it would offer a new approach against oil spills and fouling challenges. Furthermore, their reusability after oil uptake serves as additional steps to sustainability. Nevertheless, work is still required to determine and figure out the practical levels of utility of the cellulose-based sorbents on a commercial scale, facilitating the control and management of minor oil spills.
Samia ben Hammouda; Zhi Chen; ChunJiang An; Kenneth Lee. Recent advances in developing cellulosic sorbent materials for oil spill cleanup: A state-of-the-art review. Journal of Cleaner Production 2021, 311, 127630 .
AMA StyleSamia ben Hammouda, Zhi Chen, ChunJiang An, Kenneth Lee. Recent advances in developing cellulosic sorbent materials for oil spill cleanup: A state-of-the-art review. Journal of Cleaner Production. 2021; 311 ():127630.
Chicago/Turabian StyleSamia ben Hammouda; Zhi Chen; ChunJiang An; Kenneth Lee. 2021. "Recent advances in developing cellulosic sorbent materials for oil spill cleanup: A state-of-the-art review." Journal of Cleaner Production 311, no. : 127630.
Assessing the impacts of climate change on hydrologic regimes through hydrologic modeling is challenged by data uncertainty, predictor-selection uncertainty, and model uncertainty as well as their interrelationships. In this study, a Multi-level factorial ensemble data-driven hydrological model (MFEDHM) is developed to quantify the interactive, individual, and integrative impacts of multiple boundary conditions (e.g., climate conditions) on hydrological processes, and revealing the spatial heterogeneity of these impacts under various uncertainties and non-predictor impacts. In the MFEDHM, multi-level factorial analysis is integrated with ensemble prediction (i.e., Bayesian Model Averaging) and data-driven hydrological model. The MFEDHM is applied to quantitatively analyze the rainfall-runoff relationships of 16 catchments over China. Results reveal that the multilevel factorial analysis can accurately reveal both individual and interactive impacts of climate variables on hydrologic processes, and the impacts of non-climatic factors. As the most important finding of this study, climate-change impacts on hydrology show significant spatial heterogeneities over China. For instance, contemporaneous climatic conditions dominate (57%-64%) runoff changes and variations in Southern China, while precedent climate conditions pose significant impacts (20%-67%) on runoffs in Northern China; the overall influence of non-predictor factors (anthropogenic) on runoffs may decrease by 0.07% for the catchment-area increment of 10000 km2 and ranges from 4% to 27% over China. The development of the MFEDHM can enhance the reliability of ensemble hydrologic prediction, and provide scientific support for climate-change impacts assessment and adaptation under complexities.
Feng Wang; Guohe Huang; Guanhui Cheng; Yongping Li. Multi-level factorial analysis for ensemble data-driven hydrological prediction. Advances in Water Resources 2021, 153, 103948 .
AMA StyleFeng Wang, Guohe Huang, Guanhui Cheng, Yongping Li. Multi-level factorial analysis for ensemble data-driven hydrological prediction. Advances in Water Resources. 2021; 153 ():103948.
Chicago/Turabian StyleFeng Wang; Guohe Huang; Guanhui Cheng; Yongping Li. 2021. "Multi-level factorial analysis for ensemble data-driven hydrological prediction." Advances in Water Resources 153, no. : 103948.
Facing the conflicts of climate change, energy consumption, carbon emission, and economic development, it is essential to investigate the impacts of the carbon tax policy implemented in specific regions. A CGE-based multi-dimensional carbon policy (CMDCP) model is developed to i) explore the inter-provincial interdependences by interfering with the economic policies of a single province, and ii) quantify interactive relationships among various components including climate, energy, carbon economy and tax. Integrated approach of computable general equilibrium model and input-output analysis is applied to a series of segmented carbon tax schemes for Guangdong IC modeling and China IE modeling. It is found that when the carbon tax rate is 100 yuan/ton, the GDP of Guangdong will fall by less than 0.5% under three scenario types. At the same time, they could bring 1.3, 1.2 and 1.6 million tons of emission reductions. Levying the carbon tax based on the difference in carbon emission volume is most beneficial for emission intensity reduction. For China, the impact of the segmented carbon tax in specific province has a slight impact on the entire supply chain emissions. It is suggested that a carbon tax of 10–40 yuan/ton could be adopted by Guangdong. Moreover, Guangdong could consider implementing the stepped carbon tax for it can effectively avoid the lack of flexibility of traditional carbon tax policy.
Mengyu Zhai; Guohe Huang; Lirong Liu; Zhengquan Guo; Shuai Su. Segmented carbon tax may significantly affect the regional and national economy and environment-a CGE-based analysis for Guangdong Province. Energy 2021, 231, 120958 .
AMA StyleMengyu Zhai, Guohe Huang, Lirong Liu, Zhengquan Guo, Shuai Su. Segmented carbon tax may significantly affect the regional and national economy and environment-a CGE-based analysis for Guangdong Province. Energy. 2021; 231 ():120958.
Chicago/Turabian StyleMengyu Zhai; Guohe Huang; Lirong Liu; Zhengquan Guo; Shuai Su. 2021. "Segmented carbon tax may significantly affect the regional and national economy and environment-a CGE-based analysis for Guangdong Province." Energy 231, no. : 120958.