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Zhang Q, Hou Q, Huang G, Fan Q. Removal of heavy metals in aquatic environment by graphene oxide composites: a review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:190-209. [PMID: 31838692 DOI: 10.1007/s11356-019-06683-w] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 10/09/2019] [Indexed: 06/10/2023]
Abstract
As the most important graphene derivate, graphene oxide (GO) is a high-efficient adsorbent for the removal of heavy metals in aquatic environment due to its abundant oxygen functional groups, enormous specific area, and strong hydrophilia. However, there are some drawbacks, such as easily aggregating and difficult separation, restricting the environmental application of GO. GO is not a suitable adsorbent by itself. Hence, some materials were used to synthesize GO composites, and GO composites are commonly characterized by high adsorption capacity to overcome the above drawbacks. This review discusses five main GO composites-GO-chitosan, GO-alginate, GO-SiO2, NZVI-rGO, and magnetic GO composites-and summarizes the synthesis methods of GO composites and its application for the removal of heavy metals in aquatic environments. The influencing factors, adsorption capacities, and mechanisms related to the removal of heavy metals by GO composites are highlighted. Lastly, the application potentials and challenges of GO composites for aqueous environmental remediation are discussed. Graphical abstract.
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Affiliation(s)
- Quan Zhang
- Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang, China
- China University of Geosciences, Beijing, China
| | - Qinxuan Hou
- Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang, China
- Hebei Key Laboratory of Groundwater Remediation, Shijiazhuang, China
| | - Guanxing Huang
- Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang, China
| | - Qi Fan
- East China Mineral Exploration and Development Bureau, Nanjing, China.
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Choubin B, Mosavi A, Alamdarloo EH, Hosseini FS, Shamshirband S, Dashtekian K, Ghamisi P. Earth fissure hazard prediction using machine learning models. ENVIRONMENTAL RESEARCH 2019; 179:108770. [PMID: 31577962 DOI: 10.1016/j.envres.2019.108770] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2019] [Revised: 09/19/2019] [Accepted: 09/22/2019] [Indexed: 06/10/2023]
Abstract
Earth fissures are the cracks on the surface of the earth mainly formed in the arid and the semi-arid basins. The excessive withdrawal of groundwater, as well as the other underground natural resources, has been introduced as the significant causing of land subsidence and potentially, the earth fissuring. Fissuring is rapidly turning into the nations' major disasters which are responsible for significant economic, social, and environmental damages with devastating consequences. Modeling the earth fissure hazard is particularly important for identifying the vulnerable groundwater areas for the informed water management, and effectively enforce the groundwater recharge policies toward the sustainable conservation plans to preserve existing groundwater resources. Modeling the formation of earth fissures and ultimately prediction of the hazardous areas has been greatly challenged due to the complexity, and the multidisciplinary involved to predict the earth fissures. This paper aims at proposing novel machine learning models for prediction of earth fissuring hazards. The Simulated annealing feature selection (SAFS) method was applied to identify key features, and the generalized linear model (GLM), multivariate adaptive regression splines (MARS), classification and regression tree (CART), random forest (RF), and support vector machine (SVM) have been used for the first time to build the prediction models. Results indicated that all the models had good accuracy (>86%) and precision (>81%) in the prediction of the earth fissure hazard. The GLM model (as a linear model) had the lowest performance, while the RF model was the best model in the modeling process. Sensitivity analysis indicated that the hazardous class in the study area was mainly related to low elevations with characteristics of high groundwater withdrawal, drop in groundwater level, high well density, high road density, low precipitation, and Quaternary sediments distribution.
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Affiliation(s)
- Bahram Choubin
- Soil Conservation and Watershed Management Research Department, West Azarbaijan Agricultural and Natural Resources Research and Education Center, AREEO, Urmia, Iran
| | - Amir Mosavi
- School of the Built Environment, Oxford Brookes University, Oxford, OX30BP, UK; Kalman Kando Faculty of Electrical Engineering, Obuda University, Budapest, Hungary
| | - Esmail Heydari Alamdarloo
- Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran
| | - Farzaneh Sajedi Hosseini
- Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran
| | - Shahaboddin Shamshirband
- Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Viet Nam; Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Viet Nam.
| | - Kazem Dashtekian
- Yazd Agricultural and Natural Resources Research Center, AREEO, Yazd, Iran
| | - Pedram Ghamisi
- Exploration Devision, Helmholtz Institute Freiberg for Resource Technology, Helmholtz-Zentrum Dresden-Rossendorf Helmholtz Institute Freiberg for Resource Technology, Freiberg, Germany
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Liu Z, Liu Q, Qi X, Li Y, Zhou G, Dai M, Miao M, Kong Q. Evolution and resistance of a microbial community exposed to Pb(II) wastewater. THE SCIENCE OF THE TOTAL ENVIRONMENT 2019; 694:133722. [PMID: 31401502 DOI: 10.1016/j.scitotenv.2019.133722] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 07/30/2019] [Accepted: 08/01/2019] [Indexed: 06/10/2023]
Abstract
This study investigated the treatment performance of activated sludge on Pb(II)-containing wastewater, including contaminant removal efficiency, extracellular polymeric substances, pbrT gene content and the microbial community. The average removal efficiencies of ammonia nitrogen, chemical oxygen demand, total phosphorus, total nitrogen and Pb(II) were 40% ± 4%, 91% ± 3%, 95% ± 3%, 51% ± 5% and 92% ± 9% during the stable operation stage, respectively. Moreover, the extracellular polymeric substance -protein contents increased significantly from day 0 to day 60 (p < 0.05). The most abundant fluorescent component in extracellular polymeric substances was a humic acid-like substance, and its fluorescence intensity increased significantly from day 0 to day 60 (p < 0.05). Adsorption of negatively charged organic functional groups in extracellular polymeric substances was identified as a major component of the removal of Pb(II). Most of the denitrifying bacteria associated with nitrogen removal showed an increasing trend during the acclimation stage, which may have resulted in high total nitrogen removal efficiency. In addition, pbrT uptake protein was found to be responsible for the uptake of Pb(II) into cells. The abundance of the pbrT gene showed a downward trend (p < 0.05) after adding Pb(II), probably because expression of the pbrT gene was inhibited under Pb(II) stress. Sphingopyxis containing the pbrT gene was the dominant resistance genus, and its relative abundance increased significantly (p < 0.05) from day 0 to day 60. This study provided a theoretical basis for the treatment of Pb(II)-containing wastewater.
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Affiliation(s)
- Zhaosheng Liu
- College of Geography and Environment, Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250014, PR China; Editorial Office of China's Population, Resources and Environment, Shandong Normal University, 88 Wenhua Donglu, Jinan 250014, Shandong, PR China
| | - Qi Liu
- College of Geography and Environment, Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250014, PR China; College of Life Science, Shandong Normal University, 88 Wenhua Donglu, Jinan 250014, Shandong, PR China
| | - Xiaoyu Qi
- College of Geography and Environment, Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250014, PR China
| | - Yexuan Li
- College of Geography and Environment, Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250014, PR China; College of Life Science, Shandong Normal University, 88 Wenhua Donglu, Jinan 250014, Shandong, PR China
| | - Guangqing Zhou
- College of Geography and Environment, Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250014, PR China; College of Life Science, Shandong Normal University, 88 Wenhua Donglu, Jinan 250014, Shandong, PR China
| | - Meixue Dai
- College of Life Science, Shandong Normal University, 88 Wenhua Donglu, Jinan 250014, Shandong, PR China
| | - Mingsheng Miao
- College of Life Science, Shandong Normal University, 88 Wenhua Donglu, Jinan 250014, Shandong, PR China
| | - Qiang Kong
- College of Geography and Environment, Collaborative Innovation Center of Human-Nature and Green Development in Universities of Shandong, Shandong Normal University, Jinan 250014, PR China; Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore.
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Assessment of Shallow Groundwater Contamination Resulting from a Municipal Solid Waste Landfill—A Case Study in Lianyungang, China. WATER 2019. [DOI: 10.3390/w11122496] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Groundwater contaminations based on the release and transportation of leachate from municipal solid waste (MSW) landfills are a potential hazard to the ecosystem and its inhabitants. In this study, nine chemical compositions of groundwater quality were collected and analysed from 16 monitoring wells and two ponds around the Diaoyushan MSW landfill in the north of Jiangsu Province, China. Multiple analyses were performed to assess the redox conditions and the groundwater environment. It was indicated that the landfill was in a low and stable biodegradability phase, and the most influential phase was the initial stage of the landfill site; the leachate leakage was the principal pollution source (49.18%) for the local groundwater environment. Artificial drainage of Dongdasha village expanded the contaminant plume scopes and deteriorated water quality further. The polluted groundwater area was provided with high concentrations of total hardness, Cl−, SO42−, total dissolved solids (TDS) and Pb.
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Gao L, Ma C, Wang Q, Zhou A. Sustainable use zoning of land resources considering ecological and geological problems in Pearl River Delta Economic Zone, China. Sci Rep 2019; 9:16052. [PMID: 31690842 PMCID: PMC6831604 DOI: 10.1038/s41598-019-52355-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Accepted: 10/10/2019] [Indexed: 11/09/2022] Open
Abstract
The Pearl River Delta Economic Zone is one of the fastest growing areas of China's social and economic development. However, the contradiction between people and land, the deterioration of ecological environment and the damage of urban ecological security have become more serious problems. In previous studies there was single land utilization type in small-area and the evaluation method was not suitable to large areas, this study proposes a new method. Firstly, the study implements ecological land zoning from assessing the importance of ecosystem services functional in four aspects: biodiversity, water conservation, soil conservation and coastal protected zone. Then, the suitability evaluation index system of agricultural and construction land is established from the geological environment perspective, and introduces variable weight-analytical hierarchy process-comprehensive index model to evaluate the suitability of agricultural land and construction land. Re-zoning the type of land that has a special effect on the socio-economic, the mining land, protected area of geological relics and groundwater resources, respectively. Finally, considering the actual condition use status and suitability distribution of land, the results of comprehensive zoning of land utilization is got. The results of this study can provide some geological basis for the future land utilization zoning.
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Affiliation(s)
- Lin Gao
- School of Geological Survey, China University of Geosciences, Wuhan, China
| | - Chuanming Ma
- School of Environmental Studies, China University of Geosciences, Wuhan, China.
| | - Qixin Wang
- China Railway Design Corporation, Tianjin, 300251, China
| | - Aiguo Zhou
- School of Environmental Studies, China University of Geosciences, Wuhan, 430074, China
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Li Z, Xu S, Xiao G, Qian L, Song Y. Removal of hexavalent chromium from groundwater using sodium alginate dispersed nano zero-valent iron. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2019; 244:33-39. [PMID: 31108308 DOI: 10.1016/j.jenvman.2019.04.130] [Citation(s) in RCA: 42] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2018] [Revised: 04/23/2019] [Accepted: 04/30/2019] [Indexed: 05/28/2023]
Abstract
Hexavalent chromium (Cr), one of the most common heavy metals, is widely found in contaminated soil and groundwater. Nano zero-valent iron (nZVI) is used to treat Cr(VI) in polluted groundwater. However, due to agglomeration, rapid sedimentation, and limited mobility of nanoparticles in the aquatic environment, nZVI is not widely used in groundwater treatment. In this study, we used sodium alginate (SA) to modify nZVI to generate dispersed SA-nZVI. SA-nZVI particles were found to embed in the polymer material and exist as an amorphous state with a diameter less than 100 nm. Compared with traditional nZVI and carboxymethyl cellulose (CMC)-nZVI, SA-nZVI had better stability and higher absolute zeta potential. The presence of SA enhanced mobility of nZVI and effectively prevented sedimentation and aggregation. Furthermore, SA-nZVI had a higher Cr(VI) removal rate than (CMC)-nZVI under both acidic and alkaline conditions. XPS analysis showed that Cr(VI) was reduced to Cr(III) and formed Cr(OH)3 as precipitates after treatment with SA-nZVI. In addition, NO3- had no effect on the final removal rate of Cr(VI) by SA-nZVI. These results suggest that SA-nZVI has high penetration and a high removal rate in Cr(VI) removal and can be used to stabilize nZVI to remediate Cr(VI)-contaminated groundwater in the future.
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Affiliation(s)
- Zihan Li
- Environmental Protection Research Institute of Light Industry, Beijing Academy of Science and Technology, Beijing, China
| | - Shuyuan Xu
- Environmental Protection Research Institute of Light Industry, Beijing Academy of Science and Technology, Beijing, China
| | - Guanghui Xiao
- College of Life Science, Shaanxi Normal University, Xi'an, China
| | - Limin Qian
- Environmental Protection Research Institute of Light Industry, Beijing Academy of Science and Technology, Beijing, China
| | - Yun Song
- Environmental Protection Research Institute of Light Industry, Beijing Academy of Science and Technology, Beijing, China; Beijing Key Laboratory of Industrial Land Contamination and Remediation, Beijing, China.
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Luo X, Jiao JJ, Moore WS, Cherry JA, Wang Y, Liu K. Significant chemical fluxes from natural terrestrial groundwater rival anthropogenic and fluvial input in a large-river deltaic estuary. WATER RESEARCH 2018; 144:603-615. [PMID: 30096687 DOI: 10.1016/j.watres.2018.07.004] [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: 01/26/2018] [Revised: 06/12/2018] [Accepted: 07/03/2018] [Indexed: 06/08/2023]
Abstract
The shores of the Pearl River estuary are home to 35 million people. Their wastes are discharged into the large river delta-front estuary (LDE), one of the most highly polluted systems in the world. Here we construct a radium reactive transport model to estimate the terrestrial groundwater discharge (TGD) into the highly urbanized Pearl River LDE. We find the TGD comprises only approximately 0.9% in term of water discharge compared to the river discharge. The TGD in the Pearl River LDE delivers significant chemical fluxes to the coast, which are comparable to the fluvial loadings from Pearl River and other world major rivers. Of particular importance is the flux of ammonium because of its considerable role in Pearl River estuary eutrophication and hypoxia. Unlike the ammonium in many other aquifers, the ammonium in the Pearl River aquifer system is natural and originated from organic matter remineralization by sulfate reduction in the extremely reducing environment. The TGD derived NH4+ is as much as 5% of the upstream Pearl River fluvial loading and 42% of the anthropogenic inputs. This high groundwater NH4+ flux may greatly intensify the eutrophication, shift the trophic states, and lead to alarming hypoxia within the affected ecosystems in the Pearl River LDE. The large TGD derived chemical fluxes will lead to deterioration of water and will potentially affect human health.
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Affiliation(s)
- Xin Luo
- Department of Earth Sciences, The University of Hong Kong, PR China; The University of Hong Kong, Shenzhen Research Institute (SRI), Shenzhen, PR China; The University of Hong Kong-Zhejiang Institute of Research and Innovation (HKU-ZIRI), Hangzhou, PR China
| | - Jiu Jimmy Jiao
- Department of Earth Sciences, The University of Hong Kong, PR China; The University of Hong Kong, Shenzhen Research Institute (SRI), Shenzhen, PR China; The University of Hong Kong-Zhejiang Institute of Research and Innovation (HKU-ZIRI), Hangzhou, PR China.
| | - Willard S Moore
- Department of Earth and Ocean Sciences, University of South Carolina, Columbia, 29208, SC, USA
| | - John A Cherry
- School of Engineering, University of Guelph, Guelph, ON, N1G 2W1, Canada
| | - Ya Wang
- School of Earth Science and Geological Engineering, Sun Yat-sen University Guangzhou, 510275, PR China
| | - Kun Liu
- China Institute of Geo-Environment Monitoring, China Geological Survey, PR China
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