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Zhao Y, Song Y, Zhang L, Zhao B, Lu M, Cui J, Tang W. Source apportionment and specific-source-site risk of quinolone antibiotics for effluent-receiving urban rivers and groundwater in a city, China. J Environ Sci (China) 2024; 144:185-198. [PMID: 38802230 DOI: 10.1016/j.jes.2023.08.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 08/13/2023] [Accepted: 08/14/2023] [Indexed: 05/29/2024]
Abstract
There is a large surface-groundwater exchange downstream of wastewater treatment plants (WWTPs), and antibiotics upstream may influence sites downstream of rivers. Thus, samples from 9 effluent-receiving urban rivers (ERURs) and 12 groundwater sites were collected in Shijiazhuang City in December 2020 and April 2021. For ERURs, 8 out of 13 target quinolone antibiotics (QNs) were detected, and the total concentration of QNs in December and April were 100.6-4,398 ng/L and 8.02-2,476 ng/L, respectively. For groundwater, all target QNs were detected, and the total QNs concentration was 1.09-23.03 ng/L for December and 4.54-170.3 ng/L for April. The distribution of QNs was dissimilar between ERURs and groundwater. Most QN concentrations were weakly correlated with land use types in the system. The results of a positive matrix factorization model (PMF) indicated four potential sources of QNs in both ERURs and groundwater, and WWTP effluents were the main source of QNs. From December to April, the contribution of WWTP effluents and agricultural emissions increased, while livestock activities decreased. Singular value decomposition (SVD) results showed that the spatial variation of most QNs was mainly contributed by sites downstream (7.09%-88.86%) of ERURs. Then, a new method that combined the results of SVD and PMF was developed for a specific-source-site risk quotient (SRQ), and the SRQ for QNs was at high level, especially for the sites downstream of WWTPs. Regarding temporal variation, the SRQ for WWTP effluents, aquaculture, and agricultural emissions increased. Therefore, in order to control the antibiotic pollution, more attention should be paid to WWTP effluents, aquaculture, and agricultural emission sources for the benefit of sites downstream of WWTPs.
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Affiliation(s)
- Yu Zhao
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing 100085, China
| | - Yuanmeng Song
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing 100085, China; College of Environment Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China
| | - Lulu Zhang
- College of Environment Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China.
| | - Bo Zhao
- College of Environment Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China
| | - Mengqi Lu
- College of Environment Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China
| | - Jiansheng Cui
- College of Environment Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050000, China
| | - Wenzhong Tang
- State Key Laboratory of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Science, Beijing 100085, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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2
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Glassmeyer ST, Burns EE, Focazio MJ, Furlong ET, Gribble MO, Jahne MA, Keely SP, Kennicutt AR, Kolpin DW, Medlock Kakaley EK, Pfaller SL. Water, Water Everywhere, but Every Drop Unique: Challenges in the Science to Understand the Role of Contaminants of Emerging Concern in the Management of Drinking Water Supplies. GEOHEALTH 2023; 7:e2022GH000716. [PMID: 38155731 PMCID: PMC10753268 DOI: 10.1029/2022gh000716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 09/21/2023] [Accepted: 09/21/2023] [Indexed: 12/30/2023]
Abstract
The protection and management of water resources continues to be challenged by multiple and ongoing factors such as shifts in demographic, social, economic, and public health requirements. Physical limitations placed on access to potable supplies include natural and human-caused factors such as aquifer depletion, aging infrastructure, saltwater intrusion, floods, and drought. These factors, although varying in magnitude, spatial extent, and timing, can exacerbate the potential for contaminants of concern (CECs) to be present in sources of drinking water, infrastructure, premise plumbing and associated tap water. This monograph examines how current and emerging scientific efforts and technologies increase our understanding of the range of CECs and drinking water issues facing current and future populations. It is not intended to be read in one sitting, but is instead a starting point for scientists wanting to learn more about the issues surrounding CECs. This text discusses the topical evolution CECs over time (Section 1), improvements in measuring chemical and microbial CECs, through both analysis of concentration and toxicity (Section 2) and modeling CEC exposure and fate (Section 3), forms of treatment effective at removing chemical and microbial CECs (Section 4), and potential for human health impacts from exposure to CECs (Section 5). The paper concludes with how changes to water quantity, both scarcity and surpluses, could affect water quality (Section 6). Taken together, these sections document the past 25 years of CEC research and the regulatory response to these contaminants, the current work to identify and monitor CECs and mitigate exposure, and the challenges facing the future.
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Affiliation(s)
- Susan T. Glassmeyer
- U.S. Environmental Protection AgencyOffice of Research and DevelopmentCincinnatiOHUSA
| | | | - Michael J. Focazio
- Retired, Environmental Health ProgramEcosystems Mission AreaU.S. Geological SurveyRestonVAUSA
| | - Edward T. Furlong
- Emeritus, Strategic Laboratory Sciences BranchLaboratory & Analytical Services DivisionU.S. Geological SurveyDenverCOUSA
| | - Matthew O. Gribble
- Gangarosa Department of Environmental HealthRollins School of Public HealthEmory UniversityAtlantaGAUSA
| | - Michael A. Jahne
- U.S. Environmental Protection AgencyOffice of Research and DevelopmentCincinnatiOHUSA
| | - Scott P. Keely
- U.S. Environmental Protection AgencyOffice of Research and DevelopmentCincinnatiOHUSA
| | - Alison R. Kennicutt
- Department of Civil and Mechanical EngineeringYork College of PennsylvaniaYorkPAUSA
| | - Dana W. Kolpin
- U.S. Geological SurveyCentral Midwest Water Science CenterIowa CityIAUSA
| | | | - Stacy L. Pfaller
- U.S. Environmental Protection AgencyOffice of Research and DevelopmentCincinnatiOHUSA
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Wang Z, Liu S, Su Y. Spatiotemporal evolution of habitat quality and its response to landscape patterns in karst mountainous cities: a case study of Guiyang City in China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:114391-114405. [PMID: 37861839 DOI: 10.1007/s11356-023-30420-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 10/08/2023] [Indexed: 10/21/2023]
Abstract
Habitat quality heterogeneity is one of the concrete manifestations of landscape pattern changes caused by human activities, which is of great significance to improve habitat quality by optimizing landscape pattern, thus scientifically protecting biodiversity and promoting ecological civilization construction. The coupling of rapid urbanization and ecological restoration measures has had a significant influence on the habitat quality of fragile and fragmented karst mountainous cities in recent years. In this study, spatiotemporal dynamics and heterogeneity of habitat quality and the impact of landscape patterns on habitat quality are analyzed in Guiyang, a typical karst mountain city in southwest China, mainly using the key methodologies such as the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model, Exploratory Spatial Data Analysis (ESDA), and hierarchical partitioning (HP). We found that the habitat quality index of Guiyang City improved from 0.6643 to 0.6988 during 2000-2019; the distribution of habitat quality has significant spatiotemporal heterogeneity and spatial aggregation effect with the low values or the decreased areas concentrated in and around the built-up areas or urbanization expansion areas. Landscape composition had greater contribution than landscape configuration to habitat quality. The increased areas of natural habitat have had a positive effect on habitat quality. Moreover, each landscape configuration had a significant positive or negative correlation with the habitat quality. Therefore, implementing ecological protection and restoration measures in karst mountainous cities might be an effective strategy to improve habitat quality during rapid urbanization. Furthermore, optimizing habitat patterns, reducing the habitats loss, and protecting the natural habitat integrity are crucial to improving and maintaining biodiversity in the study area.
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Affiliation(s)
- Zhijie Wang
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences / Institute of Agro-Bioengineering, Guizhou University, Huaxi District, Guiyang, 550025, Guizhou Province, China.
- Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering, Guiyang, 550025, Guizhou Province, China.
| | - Shujun Liu
- Key Laboratory of Plant Resource Conservation and Germplasm Innovation in Mountainous Region (Ministry of Education), College of Life Sciences / Institute of Agro-Bioengineering, Guizhou University, Huaxi District, Guiyang, 550025, Guizhou Province, China
- Collaborative Innovation Center for Mountain Ecology & Agro-Bioengineering, Guiyang, 550025, Guizhou Province, China
| | - Yuan Su
- College of Forestry, Guiyang, 550025, Guizhou Province, China
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Honti M, Zsugyel M, Seller C, Fenner K. Benchmarking the Persistence of Active Pharmaceutical Ingredients in River Systems. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:14684-14693. [PMID: 37729605 DOI: 10.1021/acs.est.3c01627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/22/2023]
Abstract
Assessing the persistence of organic micropollutants from field data has been notoriously laborious, requiring extensive data including emissions and chemical properties, and the application of detailed mass-balance models, which often contain parameters that are impossible to measure. To overcome some of these obstacles, we developed the concept of persistence benchmarking for large rivers that receive numerous emissions and provide enough residence time to observe the dissipation of compounds. We estimated the dissipation rate constants of 41 compounds (mostly active pharmaceutical ingredients) from five measurement campaigns in the Rhine and Danube rivers using concentration rate profiles with respect to carbamazepine. Dissipation rates clearly distinguished between known fast- and slow-degrading compounds, and campaign-specific boundary conditions had an influence on a minor subset of compounds only. Benchmarking provided reasonable estimates on summer total system half-lives in the Rhine compared to previous laboratory experiments and a mass-balance modeling study. Consequently, benchmarking can be a straightforward persistence assessment method of continuously emitted organic micropollutants in large river systems, especially when it is supported by field monitoring campaigns of proper analytical quality and spatial resolution.
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Affiliation(s)
- Mark Honti
- ELKH-BME Water Research Group, Eötvös Loránd Research Network, 1111 Budapest, Hungary
| | - Márton Zsugyel
- ELKH-BME Water Research Group, Eötvös Loránd Research Network, 1111 Budapest, Hungary
| | - Carolin Seller
- Eawag Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
- Department of Chemistry, University of Zürich, 8057 Zürich, Switzerland
| | - Kathrin Fenner
- Eawag Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, Switzerland
- Department of Chemistry, University of Zürich, 8057 Zürich, Switzerland
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Labad F, Ginebreda A, Criollo R, Vázquez-Suñé E, Pérez S, Jurado A. Occurrence, data-based modelling, and risk assessment of emerging contaminants in an alluvial aquifer polluted by river recharge. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 316:120504. [PMID: 36283472 DOI: 10.1016/j.envpol.2022.120504] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/18/2022] [Accepted: 10/19/2022] [Indexed: 06/16/2023]
Abstract
This research presents the occurrence and fate of 121 contaminants of emerging concern (CECs) in an urban aquifer polluted by river recharge through a data-base modelling. Afterwards, risk quotients (RQs) are computed to determine the risk posed by CECs to human health. To this end, groundwater and river water samples were collected in four campaigns conducted from February to May 2021. Results show that 46 CECs are ubiquitous in groundwater and their concentrations vary several orders of magnitude, ranging from below the limit of quantification to 44.5·103 ng/L for iopamidol. Transformation products (TPs) are usually detected at lower concentrations than those of the parent substances but there are some exceptions (i.e., fipronil sulphide, fipronil sulfone and O-desmethylvenlafaxine). River concentrations are higher than those detected in groundwater for some CECs, indicating the occurrence of natural attenuation processes when river water infiltrates the aquifer. A data-based advection-reaction modelling is proposed and tested for ca. 40 substances with detection frequencies higher than 90%. It provides useful quantitative information regarding the dynamic behaviour of the variables monitored, expressed in terms of characteristic length, entropy and synchronized state contribution. Finally, risk quotients (RQs) are used to assess the human health risk posed by the ubiquitous CECs in groundwater. Most CECs do not pose any risk to the different life stages considered, as the RQs evaluated are lower than 0.01. However, the pharmaceuticals valsartan and its TP valsartan acid show RQs higher than 1, indicating that these substances might be harmful to human beings.
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Affiliation(s)
- Francesc Labad
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, 08034, Barcelona, Spain.
| | - Antoni Ginebreda
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, 08034, Barcelona, Spain
| | - Rotman Criollo
- Mediterranean Institute for Advanced Studies (IMEDEA), Spanish National Research Council (CSIC), Miquel Marquès, 21, 07190, Esporles, Spain
| | - Enric Vázquez-Suñé
- Department of Geosciences, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, 08034, Barcelona, Spain
| | - Sandra Pérez
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, 08034, Barcelona, Spain
| | - Anna Jurado
- Department of Geosciences, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), Jordi Girona 18-26, 08034, Barcelona, Spain.
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Ginebreda A, Jurado A, Pujades E, Barceló D. An advection-reaction model of emerging contaminants in ground and surface waterbodies with known topology: a data-based approach. MethodsX 2022; 10:101948. [PMID: 36504498 PMCID: PMC9727636 DOI: 10.1016/j.mex.2022.101948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 11/24/2022] [Indexed: 11/30/2022] Open
Abstract
A simple data-based advection-reaction (reactive transport) model applicable to both rivers and aquifers monitoring networks is proposed. It is built on (a) available monitoring data, and (b) graph-theoretical concepts, specifically making use of the Laplacian matrix to capture the network topology and the advection process. The method yields useful information regarding the dynamic spatial behavior of the variables monitored, expressed in terms of quantitative parameters like characteristic length, entropy, first-order decay constants, synchronization between sites, and the external inputs/outputs to the system. The model was tested in an unconfined shallow aquifer located in the lower Besòs River (Spain), in which 37 pharmaceutical compounds were monitored at 7 sites, alongside two campaigns (February and May 2021). Characteristic lengths were, on average, of the same order (24.5 m) as the mean distance between consecutive monitoring sites (33.6 m), thus reflecting an adequate monitoring network design. From an estimated mean advection velocity (0.24 m·h-1), first-order decay constants were calculated for each compound and campaign, with mean values of 0.025 h-1 (February) and 0.005 h-1 (May). Whereas entropy was generally slightly larger values in February than in May (mean values of 1.02 and 0.9 entropy units respectively), synchronization showed the opposite trend (mean values of 62.4% and 68.8% respectively). The input/output profiles were generally site-dependent, regardless of the compound, and campaign considered. • A new advection-reaction modeling approach directly based on experimental data obtained from monitoring campaigns together with the network topology is proposed. • The method yields new quantitative information regarding the dynamic behavior of the variables monitored, useful for both research and management purposes.
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Affiliation(s)
- Antoni Ginebreda
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), Jordi Girona 18–26, 08034 Barcelona, Spain,Corresponding author.
| | - Anna Jurado
- Department of Geosciences, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), Jordi Girona 18–26, 08034 Barcelona, Spain
| | - Estanislao Pujades
- Department of Geosciences, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), Jordi Girona 18–26, 08034 Barcelona, Spain
| | - Damià Barceló
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research (IDAEA), Severo Ochoa Excellence Center of the Spanish Council for Scientific Research (CSIC), Jordi Girona 18–26, 08034 Barcelona, Spain,ICRA-CERCA, Catalan Institute for Water Research, Scientific and Technologic Park of the UdG, Emili Grahit 101, 17003 Girona, Spain
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Sharma P, Bano A, Singh SP, Sharma S, Xia C, Nadda AK, Lam SS, Tong YW. Engineered microbes as effective tools for the remediation of polyaromatic aromatic hydrocarbons and heavy metals. CHEMOSPHERE 2022; 306:135538. [PMID: 35792210 DOI: 10.1016/j.chemosphere.2022.135538] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 06/04/2022] [Accepted: 06/26/2022] [Indexed: 06/15/2023]
Abstract
Heavy metals (HMs) and polycyclic aromatic hydrocarbons (PAHs) have become a major concern to human health and the environment due to rapid industrialization and urbanization. Traditional treatment measures for removing toxic substances from the environment have largely failed, and thus development and advancement in newer remediation techniques are of utmost importance. Rising environmental pollution with HMs and PAHs prompted the research on microbes and the development of genetically engineered microbes (GEMs) for reducing pollution via the bioremediation process. The enzymes produced from a variety of microbes can effectively treat a range of pollutants, but evolutionary trends revealed that various emerging pollutants are resistant to microbial or enzymatic degradation. Naturally, existing microbes can be engineered using various techniques including, gene engineering, directed evolution, protein engineering, media engineering, strain engineering, cell wall modifications, rationale hybrid design, and encapsulation or immobilization process. The immobilization of microbes and enzymes using a variety of nanomaterials, membranes, and supports with high specificity toward the emerging pollutants is also an effective strategy to capture and treat the pollutants. The current review focuses on successful bioremediation techniques and approaches that make use of GEMs or engineered enzymes. Such engineered microbes are more potent than natural strains and have greater degradative capacities, as well as rapid adaptation to various pollutants as substrates or co-metabolizers. The future for the implementation of genetic engineering to produce such organisms for the benefit of the environment andpublic health is indeed long and valuable.
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Affiliation(s)
- Pooja Sharma
- Environmental Research Institute, National University of Singapore, 1 Create Way, 138602, Singapore; Energy and Environmental Sustainability for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 CREATE Way, Singapore, 138602, Singapore
| | - Ambreen Bano
- IIRC-3, Plant-Microbe Interaction and Molecular Immunology Laboratory, Department of Biosciences, Faculty of Sciences, Integral University, Lucknow, UP, India
| | - Surendra Pratap Singh
- Plant Molecular Biology Laboratory, Department of Botany, Dayanand Anglo-Vedic (PG) College, Chhatrapati Shahu Ji Maharaj University, Kanpur, 208001, India
| | - Swati Sharma
- University Institute of Biotechnology, Chandigarh University, Gharuan, Mohali, Punjab, 140413, India
| | - Changlei Xia
- Jiangsu Co-Innovation Center of Efficient Processing and Utilization of Forest Resources, International Innovation Center for Forest Chemicals and Materials, College of Materials Science and Engineering, Nanjing Forestry University, Nanjing, Jiangsu 210037, China; Dehua Tubao New Decoration Material Co., Ltd., Huzhou, Zhejiang 313200, China
| | - Ashok Kumar Nadda
- Department of Biotechnology and Bioinformatics, Jaypee University of Information Technology, Waknaghat, Solan, 173 234, India.
| | - Su Shiung Lam
- Higher Institution Centre of Excellence (HICoE), Institute of Tropical Aquaculture and Fisheries (AKUATROP), Universiti Malaysia Terengganu, 21030, Kuala Nerus, Terengganu, Malaysia; Sustainability Cluster, School of Engineering, University of Petroleum & Energy Studies, Dehradun, Uttarakhand 248007, India.
| | - Yen Wah Tong
- Environmental Research Institute, National University of Singapore, 1 Create Way, 138602, Singapore; Energy and Environmental Sustainability for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 CREATE Way, Singapore, 138602, Singapore; Department of Chemical and Biomolecular Engineering, National University of Singapore, 4 Engineering Drive, 117585, Singapore.
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Wu Z, Jiang M, Wang H, Di D, Guo X. Management implications of spatial-temporal variations of net anthropogenic nitrogen inputs (NANI) in the Yellow River Basin. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:52317-52335. [PMID: 35258740 DOI: 10.1007/s11356-022-19440-3] [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: 10/06/2021] [Accepted: 02/22/2022] [Indexed: 06/14/2023]
Abstract
It is an important content of environment management to accurately identify the time change and spatial distribution of net anthropogenic nitrogen inputs (NANI) in the river basin. In order to develop a unified management and diverse control strategy that fits the characteristics of the basin, this study establishes the NANI-S model combining the NANI model with the spatial autocorrelation analysis method, which is a quantification-analysis-control process, and takes the 70 prefecture-cities in the Yellow River Basin (YRB) as the study area. The result shows that (1) the NANI of YRB increased first and then decreased with an average NANI value of 6787.59 kg/(km2·a), showing that the overall N pollution situation of the YRB shows a trend of improvement in nitrogen (N) fertilizer input as the main source, and the average contribution rate was 47.45%. (2) There were obvious spatial differences in the NANI in the YRB because the global Moran's I fluctuated between 0.67 and 0.78. Cities with high NANI clustered in the middle and lower reaches, while low NANI clustered in the upper reaches. (3) Improving fertilizer utilization rate and industrial and domestic sewage treatment capacity was the key point of N control. Based on the results, practical policy recommendations for water pollution management were constructed, which provides a scientific basis for pollution prevention and high-quality development in the basin. In addition, this analysis method can also be applied to other basin N management studies.
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Affiliation(s)
- Zening Wu
- School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Mengmeng Jiang
- School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Huiliang Wang
- School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, 450001, People's Republic of China.
| | - Danyang Di
- School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
| | - Xi Guo
- School of Water Conservancy Engineering, Zhengzhou University, Zhengzhou, 450001, People's Republic of China
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Zhang Y, Rashid A, Guo S, Jing Y, Zeng Q, Li Y, Adyari B, Yang J, Tang L, Yu CP, Sun Q. Spatial autocorrelation and temporal variation of contaminants of emerging concern in a typical urbanizing river. WATER RESEARCH 2022; 212:118120. [PMID: 35114530 DOI: 10.1016/j.watres.2022.118120] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 01/21/2022] [Accepted: 01/22/2022] [Indexed: 06/14/2023]
Abstract
The distribution and fate of contaminants of emerging concern (CECs) was studied in relation to hydrological conditions, land use characteristics, and spatial contiguity in Houxi River. Thirty-four CECs were detected in the surface water during a three-year sampling campaign. Caffeine was most prevalent (99% frequency), while bisphenol A had the highest median concentration (78.2 ng/L) among the detected CECs. Caffeine and the other prevalent CECs lincomycin and bisphenol A, with median concentrations of 3.89 ng/L, 0.26 ng/L, and 78.2 ng/L, respectively, were positively correlated with land use types related to anthropogenic activities (grass, barren, built up, and cropland areas and landscape indexes for human activities). The analysis of similarities revealed significant annual variations, with increasing trends in both the concentrations and detection frequencies of CECs. Spatial variations were demonstrated by higher concentrations and detection frequencies downstream compared to upstream. The singular value decomposition analysis revealed that the downstream sites were the major contributors (55.6%-100%) to the spatial variability of most CECs. Moran's I analysis based on downstream contiguity indicated strong spatial autocorrelation among the connected sites for most CECs. This was further supported by longer correlation lengths for 18 CECs than the average distance between the sampling sites. The spatial autocorrelation can be attributed to the physicochemical properties of CECs and local hydrological dynamics, including temperature, wind speed, and sunshine hours. For most CECs, local contribution predominated over neighbor influence with an average value of 75.5%. The results of this study provide new insight to evaluate CEC distributions, which will be beneficial to policymakers for the management and prioritization of CEC contaminants in the Houxi watershed.
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Affiliation(s)
- Yiqing Zhang
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Azhar Rashid
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Department of Environmental Sciences, The University of Haripur, Haripur 22620, Pakistan
| | - Shanshan Guo
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Yuanchun Jing
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qiaoting Zeng
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Yan Li
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Bob Adyari
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; University of Chinese Academy of Sciences, Beijing 100049, China; Department of Environmental Engineering, Pertamina University, Jakarta 12220, Indonesia
| | - Jun Yang
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Lina Tang
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
| | - Chang-Ping Yu
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China; Graduate Institute of Environmental Engineering, National Taiwan University, Taipei 106, China
| | - Qian Sun
- Fujian Key Laboratory of Watershed Ecology, CAS Key Laboratory of Urban Pollutant Conversion, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China.
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Kondor AC, Jakab G, Vancsik A, Filep T, Szeberényi J, Szabó L, Maász G, Ferincz Á, Dobosy P, Szalai Z. Occurrence of pharmaceuticals in the Danube and drinking water wells: Efficiency of riverbank filtration. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2020; 265:114893. [PMID: 32544664 DOI: 10.1016/j.envpol.2020.114893] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Revised: 05/08/2020] [Accepted: 05/28/2020] [Indexed: 06/11/2023]
Abstract
Surface waters are becoming increasingly contaminated by pharmaceutically active compounds (PhACs), which is a potential risk factor for drinking water quality owing to incomplete riverbank filtration. This study examined the efficiency of riverbank filtration with regard to 111 PhACs in a highly urbanized section of the river Danube. One hundred seven samples from the Danube were compared to 90 water samples from relevant drinking water abstraction wells (DWAW) during five sampling periods. The presence of 52 PhACs was detected in the Danube, the quantification of 19 agents in this section of the river was without any precedent, and 10 PhACs were present in >80% of the samples. The most frequent PhACs showed higher concentrations in winter than in summer. In the DWAWs, 32 PhACs were quantified. For the majority of PhACs, the bank filtration efficiency was >95%, and not influenced by concentrations measured in the river. For carbamazepine lidocaine, tramadol, and lamotrigine, low (<50%) filtration efficiency was observed; however, no correlations were observed between the concentrations detected in the Danube and in the wells. These frequently occurring PhACs in surface waters have a relatively even distribution, and their sporadic appearance in wells is a function of both space and time, which may be caused by the constantly changing environment and micro-biological parameters, the dynamic operating schedule of abstraction wells, and the resulting sudden changes in flow rates. Due to the changes in the efficiency of riverbank filtration in space and time, predicting the occurrence and concentrations of these four PhACs poses a further challenge to ensuring a safe drinking water supply.
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Affiliation(s)
- Attila Csaba Kondor
- Geographical Institute, Research Centre for Astronomy and Earth Sciences, MTA Centre for Excellence, Budaörsi út 45., Budapest, H-1112 Hungary
| | - Gergely Jakab
- Geographical Institute, Research Centre for Astronomy and Earth Sciences, MTA Centre for Excellence, Budaörsi út 45., Budapest, H-1112 Hungary; Department of Environmental and Landscape Geography, Eötvös Loránd University, Pázmány Péter sétány 1/C., Budapest, H-1117, Hungary; Institute of Geography and Geoinformatics, University of Miskolc, Egyetemváros, Miskolc, H-3515, Hungary.
| | - Anna Vancsik
- Geographical Institute, Research Centre for Astronomy and Earth Sciences, MTA Centre for Excellence, Budaörsi út 45., Budapest, H-1112 Hungary
| | - Tibor Filep
- Geographical Institute, Research Centre for Astronomy and Earth Sciences, MTA Centre for Excellence, Budaörsi út 45., Budapest, H-1112 Hungary
| | - József Szeberényi
- Geographical Institute, Research Centre for Astronomy and Earth Sciences, MTA Centre for Excellence, Budaörsi út 45., Budapest, H-1112 Hungary
| | - Lili Szabó
- Geographical Institute, Research Centre for Astronomy and Earth Sciences, MTA Centre for Excellence, Budaörsi út 45., Budapest, H-1112 Hungary; Department of Environmental and Landscape Geography, Eötvös Loránd University, Pázmány Péter sétány 1/C., Budapest, H-1117, Hungary
| | - Gábor Maász
- MTA-Centre for Ecological Research, Balaton Limnological Institute, Klebelsberg Kuno u. 3., Tihany, H-8237, Hungary
| | - Árpád Ferincz
- Department of Aquaculture, Szent István University, Páter K. u. 1., Gödöllő, H-2100, Hungary
| | - Péter Dobosy
- MTA-Centre for Ecological Research, Danube Research Institute, Karolina út 29., Budapest, H-1113, Hungary
| | - Zoltán Szalai
- Geographical Institute, Research Centre for Astronomy and Earth Sciences, MTA Centre for Excellence, Budaörsi út 45., Budapest, H-1112 Hungary; Department of Environmental and Landscape Geography, Eötvös Loránd University, Pázmány Péter sétány 1/C., Budapest, H-1117, Hungary
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11
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Quantitative Evaluation of Spatial Differentiation for Public Open Spaces in Urban Built-Up Areas by Assessing SDG 11.7: A Case of Deqing County. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 2020. [DOI: 10.3390/ijgi9100575] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Urban public open spaces refer to open space between architectural structures in a city or urban agglomeration that is open for urban residents to conduct public exchanges and hold various activities. Sustainable Development Goal (SDG) 11.7 in the 2030 UN Agenda for Sustainable Development clearly states that the distribution characteristics of public open spaces are important indicators to measure the sustainable development of urban ecological society. In 2018, in order to implement the sustainable development agenda, China offered the example of Deqing to the world. Therefore, taking Deqing as an example, this paper uses geographic statistics and spatial analysis methods to quantitatively evaluate and visualize public open spaces in the built area in 2016 and analyzes the spatial pattern and relationship of the population. The results show that the public open spaces in the built-up area of Deqing have typical global and local spatial autocorrelation. The spatial pattern shows obvious differences in different parts of the built area and attributes of public open spaces. According to the results of correlation analysis, it can be seen that the decentralized characteristics of public open spaces have a significant relationship with the population agglomeration, and this correlation is also related to the types of public open spaces. The assessment results by SDG 11.7.1 indicate that the public open spaces in the built-up area of Deqing conform to the living needs of residents on the whole and have a humanized space design and good accessibility. However, the per capita public open spaces of towns and villages outside the built area are relatively low, and there is an imbalance in public open spaces. Therefore, more attention should be paid to constructing urban public open spaces fairly.
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Tang Y, Yin M, Yang W, Li H, Zhong Y, Mo L, Liang Y, Ma X, Sun X. Emerging pollutants in water environment: Occurrence, monitoring, fate, and risk assessment. WATER ENVIRONMENT RESEARCH : A RESEARCH PUBLICATION OF THE WATER ENVIRONMENT FEDERATION 2019; 91:984-991. [PMID: 31220374 DOI: 10.1002/wer.1163] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Accepted: 06/12/2019] [Indexed: 06/09/2023]
Abstract
The occurrence of emerging pollutants (EPs) is continuously reported worldwide. Nevertheless, only few of these compounds are toxicologically evaluated due to their vast numbers. Reliable analytical methods and toxicity assessment methods are the basis of either the management or the elimination of EPs. In this paper, literature published in 2018 on EPs were reviewed with special regard to their occurrence, detection methods, fate in the environment, and ecological toxicity assessment. Particular focus was placed on practical considerations, novel processes, and new solution strategies. PRACTITIONER POINTS: Literature published in 2018 on emerging pollutants were reviewed. This review article is with special regard to the occurrence, detection methods, fate and toxicity assessment of emerging pollutants. Particular focus was placed on practical considerations, novel processes and new solution strategies.
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Affiliation(s)
- Yankui Tang
- School of Resources, Environment and Materials, Guangxi University, Nanning, China
| | - Maozhong Yin
- School of Resources, Environment and Materials, Guangxi University, Nanning, China
| | - Weiwei Yang
- School of Resources, Environment and Materials, Guangxi University, Nanning, China
- College of Civil Engineering and Architecture, Guangxi University, Nanning, China
| | - Huilan Li
- School of Resources, Environment and Materials, Guangxi University, Nanning, China
| | - Yaxuan Zhong
- School of Resources, Environment and Materials, Guangxi University, Nanning, China
| | - Lihong Mo
- School of Resources, Environment and Materials, Guangxi University, Nanning, China
| | - Yan Liang
- School of Resources, Environment and Materials, Guangxi University, Nanning, China
| | - Xiangmeng Ma
- School of Resources, Environment and Materials, Guangxi University, Nanning, China
| | - Xiang Sun
- School of Resources, Environment and Materials, Guangxi University, Nanning, China
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13
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The Spatial and Temporal Research on the Coupling and Coordinated Relationship between Social Economy and Energy Environment in the Belt and Road Initiatives. SUSTAINABILITY 2019. [DOI: 10.3390/su11020407] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The Belt and Road Initiative (BRI) was presented by China’s central government to achieve regional economic cooperation under the background of economic globalization. Energy and environmental problems, as by-products of economic success, are fundamental concerns in this grand project. An integrated method that combined the coupling coordinated degree model, Moran’s I, and the spatial panel data model was used in the research zone. Results of the coupling coordinated degree model indicated that the statuses of the social economy and the energy environment of the countries in the research zone improved from 1997 to 2014, with the changes in China and Eastern Europe being particularly significant. From the spatial econometric perspective, the coupling coordinated degrees of the countries in the research zone appeared in the spatial cluster in accordance with Moran’s I. The result of the spatial panel data model indicated that the coupling coordinated degree of one country positively affected those of its neighboring countries.
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14
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Sabater-Liesa L, Ginebreda A, Barceló D. Shifts of environmental and phytoplankton variables in a regulated river: A spatial-driven analysis. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 642:968-978. [PMID: 29929148 DOI: 10.1016/j.scitotenv.2018.06.096] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/27/2018] [Revised: 06/05/2018] [Accepted: 06/08/2018] [Indexed: 06/08/2023]
Abstract
The longitudinal structure of the environmental and phytoplankton variables was investigated in the Ebro River (NE Spain), which is heavily affected by water abstraction and regulation. A first exploration indicated that the phytoplankton community did not resist the impact of reservoirs and barely recovered downstream of them. The spatial analysis showed that the responses of the phytoplankton and environmental variables were not uniform. The two set of variables revealed spatial variability discontinuities and river fragmentation upstream and downstream from the reservoirs. Reservoirs caused the replacement of spatially heterogeneous habitats by homogeneous spatially distributed water bodies, these new environmental conditions downstream benefiting the opportunist and cosmopolitan algal taxa. The application of a spatial auto-regression model to algal biomass (chlorophyll-a) permitted to capture the relevance and contribution of extra-local influences in the river ecosystem.
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Affiliation(s)
- Laia Sabater-Liesa
- Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034 Barcelona, Spain
| | - Antoni Ginebreda
- Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034 Barcelona, Spain.
| | - Damià Barceló
- Department of Environmental Chemistry, IDAEA-CSIC, Jordi Girona 18-26, 08034 Barcelona, Spain; ICRA, Carrer Emili Grahit 101, Girona 17003, Spain
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