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In this paper, water quality redundancy/reliability was proposed based on information entropy technology including Tsalli entropy and Shannon entropy in water distribution system (WDS), which was applied to 26 WDS with various layouts. The residual chlorine is considered to be representative of water quality parameter, comply with first-order decay model. The method was performed based on EPANET toolkit and MATLAB environment. The results indicated that approach 1 focused on local nodal water quality is more suitable for evaluating water quality reliability, especially for small WDS. The water quality redundancy increased with the loop number for various layouts, and has an exponential relationship with distance-weighted average nodal degree. The water quality redundancy has a linear relationship with the hydraulic redundancy. In addition, the water quality reliability based on Tsalli entropy and Shannon entropy decreased with the value of decay coefficient, which indicated that the water quality redundancy/reliability can be applied to evaluate and compare the reliability of WDS from view of water quality. The proposed evaluation method based on information entropy can help design, analyze, and improve the scenarios in WDS.
Yumin Wang; Guangcan Zhu. Evaluation of water quality reliability based on entropy in water distribution system. Physica A: Statistical Mechanics and its Applications 2021, 126373 .
AMA StyleYumin Wang, Guangcan Zhu. Evaluation of water quality reliability based on entropy in water distribution system. Physica A: Statistical Mechanics and its Applications. 2021; ():126373.
Chicago/Turabian StyleYumin Wang; Guangcan Zhu. 2021. "Evaluation of water quality reliability based on entropy in water distribution system." Physica A: Statistical Mechanics and its Applications , no. : 126373.
Decentralized wastewater treatment technology, especially natural ecological treatment technology has widely been used in rural regions. In this paper, a comprehensive life cycle assessment (LCA) of a typical wastewater ecological treatment technology - artificial wetland technology was conducted. SimaPro software was applied to simulate the wastewater treatment facility, and the CML2 baseline2000 impact evaluation method was selected to analyze the environmental loads and benefits during the life cycle. The environmental impact of the facility adopting grey-black separation mode is compared with that of the unified collection and treatment model to provide scientific basis and suggestions for the selection of wastewater collection and treatment model. The results indicated that the main environmental impact of the Southeast University artificial wetland system comes from the construction and operation of the artificial wetland and aeration tank. Marine water ecotoxicity is the main impact factor, followed by freshwater water ecotoxicity.
Siyi Wang; Zixiang Ji; Yumin Wang. Life Cycle Assessment of Artificial Wetland Systems for Rural Wastewater Treatment. E3S Web of Conferences 2021, 299, 02006 .
AMA StyleSiyi Wang, Zixiang Ji, Yumin Wang. Life Cycle Assessment of Artificial Wetland Systems for Rural Wastewater Treatment. E3S Web of Conferences. 2021; 299 ():02006.
Chicago/Turabian StyleSiyi Wang; Zixiang Ji; Yumin Wang. 2021. "Life Cycle Assessment of Artificial Wetland Systems for Rural Wastewater Treatment." E3S Web of Conferences 299, no. : 02006.
To sustain water quality in water distribution system (WDS), disinfectant generally chlorine is boosted to water distribution system. However, the concentration of chlorine should be limited to acceptable scope. The upper bound of the scope is set for preventing the occurrence of disinfectant byproduct, which is harmful to human health. The lower bound of the scope is set for controlling the growth of microorganism as well as reducing the cost. As such, the optimization model was applied to solve the water quality issue in WDS. However, in WDS, chlorine decays and varies with time and space, affected by pipe material, temperature, pH value, and chlorine injection. Therefore, in this paper, an inexact \({\mathrm{m}}_{\uplambda }\) fuzzy chance-constrained programming (IMFCCP) model was proposed to optimize the chlorine injection to maintain chlorine in WDS at an acceptable level with consideration of uncertainty in water quality simulation. The results indicated that the upper bounds, the lower bounds, and intervals of the injection mass increased with preference parameter λ, which means that the results are more unreliable with higher preference parameter λ. However, the effect of reliability level ζ on the injection mass is determined by the relationship between the preference parameter λ and reliability level ζ. In case of \(\uplambda \le {\upzeta }_{\mathrm{U}}={\upzeta }_{\mathrm{L}}\), the effect is not more significant than the case of \(\uplambda >{\upzeta }_{\mathrm{U}}={\upzeta }_{\mathrm{L}}\). The results can help managers determine the injection strategy under uncertainty.
Yumin Wang. Inexact $${\mathrm{m}}_{\uplambda }$$ fuzzy chance-constrained programming of booster chlorination for water distribution system under uncertainty. Environmental Monitoring and Assessment 2021, 193, 1 -15.
AMA StyleYumin Wang. Inexact $${\mathrm{m}}_{\uplambda }$$ fuzzy chance-constrained programming of booster chlorination for water distribution system under uncertainty. Environmental Monitoring and Assessment. 2021; 193 (5):1-15.
Chicago/Turabian StyleYumin Wang. 2021. "Inexact $${\mathrm{m}}_{\uplambda }$$ fuzzy chance-constrained programming of booster chlorination for water distribution system under uncertainty." Environmental Monitoring and Assessment 193, no. 5: 1-15.
Water resources carrying capacity (WRCC) is a significant foundation for scientific management of water resources that connected with development of water resources, population, society, and economy. With the rapid development of economy and society, the shortage of water quantity is becoming one of the most profound global issues. In this paper, to evaluate WRCC scientifically and reasonably, index system of WRCC was established and applied for assessing the WRCC of four cities in China by fuzzy matter element (FME) model comprehensively. The indices were weighted by entropy method. The WRCC of four cities of Beijing, Tianjin, Shanghai, and Chongqing are 2.620, 2.503, 2.590, and 2.457, respectively. The results indicated that the WRCC of four cities decreased in the order of Chongqing > Tianjin > Shanghai > Beijing. The method proposed can be applied to other evaluation issues, and the results can help managers realize the importance of water resources in developing the economy and society.
Yumin Wang; Zixiang Ji. Evaluation of Water Resource Carrying Capacity Based on Fuzzy Matter-element Model. IOP Conference Series: Earth and Environmental Science 2021, 706, 012003 .
AMA StyleYumin Wang, Zixiang Ji. Evaluation of Water Resource Carrying Capacity Based on Fuzzy Matter-element Model. IOP Conference Series: Earth and Environmental Science. 2021; 706 (1):012003.
Chicago/Turabian StyleYumin Wang; Zixiang Ji. 2021. "Evaluation of Water Resource Carrying Capacity Based on Fuzzy Matter-element Model." IOP Conference Series: Earth and Environmental Science 706, no. 1: 012003.
Wang, Y.; Wu, Y., and Jiang, L., 2020. Application of interval information comprehensive ranking model based on entropy weight in river water quality evaluation. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 137–140. Coconut Creek (Florida), ISSN 0749-0208.In this article, an interval information comprehensive ranking model based on entropy weight is established and applied to river water quality evaluation. In this model, the monitoring interval value of water quality index of river section is weighted with the interval data of standard grade. The weight of each index is calculated by using information entropy technology, and the water quality grade of each section is determined by comprehensive weighted ranking of each section and evaluation grade. The results show that the concept of the model is clear, the calculation is simple, and the evaluation results are objective and reasonable.
Yumin Wang; Yifeng Wu; Lan Jiang. Application of Interval Information Comprehensive Ranking Model Based on Entropy Weight in River Water Quality Evaluation. Journal of Coastal Research 2020, 105, 137 -140.
AMA StyleYumin Wang, Yifeng Wu, Lan Jiang. Application of Interval Information Comprehensive Ranking Model Based on Entropy Weight in River Water Quality Evaluation. Journal of Coastal Research. 2020; 105 (sp1):137-140.
Chicago/Turabian StyleYumin Wang; Yifeng Wu; Lan Jiang. 2020. "Application of Interval Information Comprehensive Ranking Model Based on Entropy Weight in River Water Quality Evaluation." Journal of Coastal Research 105, no. sp1: 137-140.
Eutrophication has become one of the most serious problems threatening the lakes/reservoirs in China over 50 years. Evaluation of eutrophication is a multi-criteria decision-making process with uncertainties. In this study, a cloud matter element (CME) model was developed in order to evaluate eutrophication level objectively and scientifically, which incorporated the randomness and fuzziness of eutrophication evaluation process. The elements belonging to each eutrophication level in the CME model were determined by means of certainty degrees through repeated simulations of cloud model with reasonable parameters of expectation Ex, entropy En, and hyper-entropy He. The weights of evaluation indicators were decided by a combination of entropy technology and analytic hierarchy process method. The neartudes of water samples to each eutrophication level of lakes/reservoirs in the CME model were generated and the eutrophication levels were determined by maximum neartude principal. The proposed CME model was applied to evaluate eutrophication levels of 24 typical lakes/reservoirs in China. The results of the CME model were compared with those of comprehensive index method, matter element model, fuzzy matter element model, and cloud model. Most of the results obtained by the CME model were consistent with the results obtained by other methods, which proved the CME model is an effective tool to evaluate eutrophication.
Yumin Wang; Xian’E Zhang; Yifeng Wu. Eutrophication Assessment Based on the Cloud Matter Element Model. International Journal of Environmental Research and Public Health 2020, 17, 334 .
AMA StyleYumin Wang, Xian’E Zhang, Yifeng Wu. Eutrophication Assessment Based on the Cloud Matter Element Model. International Journal of Environmental Research and Public Health. 2020; 17 (1):334.
Chicago/Turabian StyleYumin Wang; Xian’E Zhang; Yifeng Wu. 2020. "Eutrophication Assessment Based on the Cloud Matter Element Model." International Journal of Environmental Research and Public Health 17, no. 1: 334.
The bromide concentration in water source (WS) of Yancheng City in China increased unexpectedly due to industrial discharge and saltwater intrusion, which leads to the formation of trihalomethane (THMs) in finished water of water treatment plants (WTP), especially brominated THMs. In Yancheng City, drinking water is supplied by WTP1 and WTP2, primarily sourced by WS1 and WS2, respectively. In this paper, the seasonal variations of bromide in WS1 and WS2 and THMs species in WTP1 and WTP2 were analyzed and compared. The effects of bromide in WS on THMs formation in finished water of WTP in terms of bromine substitution factor (BSF) were simulated by statistical linear model. Although the THMs concentrations in WTP1 were approximate to that in WTP2, the brominated THMs concentrations in WTP1 were higher than that in WTP2 due to higher bromide concentration in WS1 than WS2. The cancer risk analysis indicated that THMs’ species of DBCM is the dominant THMs for WTP1 as well as WTP2, which can provide more information for WTPs with higher bromide concentration in water source.
Yumin Wang; Guangcan Zhu. Risk associated with increasing bromide in drinking water sources in Yancheng City, China. Environmental Monitoring and Assessment 2019, 192, 36 .
AMA StyleYumin Wang, Guangcan Zhu. Risk associated with increasing bromide in drinking water sources in Yancheng City, China. Environmental Monitoring and Assessment. 2019; 192 (1):36.
Chicago/Turabian StyleYumin Wang; Guangcan Zhu. 2019. "Risk associated with increasing bromide in drinking water sources in Yancheng City, China." Environmental Monitoring and Assessment 192, no. 1: 36.
In this paper, an improved fuzzy matter-element (IFME) method was proposed, which integrates the classical matter-element (ME) method, set pair analysis (SPA), and variable coefficient method (VCM). The method was applied to evaluate water quality of five monitor stations along Caoqiao River in Yixing city, Jiangsu Province, China. The levels of river water quality were determined according to fuzzy closeness degree. Compared with the traditional evaluation methods, the IFME method has several characteristics as follows: (i) weights were determined by the VCM method, which can reduce workload and overcome the adverse effects of abnormal values, (ii) membership degrees were defined by SPA, which can utilize monitored data more scientifically and comprehensively, and (iii) IFME is more suitable for seriously polluted rivers. Overall, these findings reinforce the notion that an integrated approach is essential for attaining scientific and objective assessment of river water quality.
Yumin Wang; Weijian Ran; Lei Wu; Yifeng Wu. Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model. International Journal of Environmental Research and Public Health 2019, 16, 2793 .
AMA StyleYumin Wang, Weijian Ran, Lei Wu, Yifeng Wu. Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model. International Journal of Environmental Research and Public Health. 2019; 16 (15):2793.
Chicago/Turabian StyleYumin Wang; Weijian Ran; Lei Wu; Yifeng Wu. 2019. "Assessment of River Water Quality Based on an Improved Fuzzy Matter-Element Model." International Journal of Environmental Research and Public Health 16, no. 15: 2793.
Evaluating the eutrophication level of lakes with a single method alone is challenging since uncertain, fuzzy, and complex processes exist in eutrophication evaluations. The parameters selected for assessing eutrophication include chlorophyII-a, chemical oxygen demand, total phosphorus, total nitrogen, and clarity. Firstly, to deal with the uncertainties and fuzziness of data, triangular fuzzy numbers (TFN) were applied to describe the fuzziness of parameters. Secondly, to assess the eutrophication grade of lakes comprehensively, an improved fuzzy matter element (FME) approach was incorporated with TFNs with weights determined by combination of entropy method and analytic hierarchy process (AHP). In addition, the Monte Carlo (MC) approach was applied to easily simulate the arithmetic operations of eutrophication evaluation. The hybrid model of TFN, FME, and MC method is termed as the TFN⁻MC⁻FME model, which can provide more valuable information for decision makers. The developed model was applied to assess the eutrophication levels of 24 typical lakes in China. The evaluation indicators were expressed by TFNs input into the FME model to evaluate eutrophication grade. The results of MC simulation supplied quantitative information of possible intervals, the corresponding probabilities, as well as the comprehensive eutrophication levels. The eutrophication grades obtained for most lakes were identical to the results of the other three methods, which proved the correctness of the model. The presented methodology can be employed to process the data uncertainties and fuzziness by stochastically simulating their distribution characteristics, and obtain a better understanding of eutrophication levels. Moreover, the proposed model can also describe the trend of eutrophication development in lakes, and provide more valuable information for lake management authorities.
Yumin Wang; Weijian Ran. Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach. International Journal of Environmental Research and Public Health 2019, 16, 1769 .
AMA StyleYumin Wang, Weijian Ran. Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach. International Journal of Environmental Research and Public Health. 2019; 16 (10):1769.
Chicago/Turabian StyleYumin Wang; Weijian Ran. 2019. "Comprehensive Eutrophication Assessment Based on Fuzzy Matter Element Model and Monte Carlo-Triangular Fuzzy Numbers Approach." International Journal of Environmental Research and Public Health 16, no. 10: 1769.
A hybrid method to comprehensively assess the water quality level was proposed by combining triangular fuzzy numbers, Monte Carlo approaches, and fuzzy matter element model, which can provide more meaningful information for the environmental protection agency. The model was applied to assessment of water quality in the Bosen Lake. The results implied that water quality level for the Bosten Lake is level III, and the water quality of sampling sites were S7 > S13 > S17 > S9 > S11 > S15 > S12 > S14 > S10 > S1 > S6 > S16 > S5 > S4 > S3 > S2 > S8. The methodology can be employed to deal with uncertainty and fuzzy data by stochastically simulating their distribution characteristics, and obtain a better understanding of water quality levels.
Yumin Wang; Shuyuan Ran. Hybrid model for water quality assessment in Bosten Lake of China. IOP Conference Series: Materials Science and Engineering 2019, 490, 032003 .
AMA StyleYumin Wang, Shuyuan Ran. Hybrid model for water quality assessment in Bosten Lake of China. IOP Conference Series: Materials Science and Engineering. 2019; 490 (3):032003.
Chicago/Turabian StyleYumin Wang; Shuyuan Ran. 2019. "Hybrid model for water quality assessment in Bosten Lake of China." IOP Conference Series: Materials Science and Engineering 490, no. 3: 032003.
In this study, the concentration of fluoride and the associated health risks for infants, children, and adults were analyzed and compared for three drinking water sources in Yancheng City, Jiangsu Province, China. To analyze the relationship between the water quality parameters of pH, fluoride (F-), sulfate (SO₄2-), chloride (Cl-), total dissolved solids (TDS), total alkalinity (TAlk), sodium (Na⁺), and potassium (K⁺), statistical analyses including correlation analysis, R-mode cluster analysis and factor analysis were performed based on monthly data from the year 2010 to 2015. The results indicated: (1) Fluoride concentrations in the drinking water sources ranged from 0.38 to 1.00 mg L-1 (mean = 0.57 mg L-1) following the order of Tongyu River > Yanlong Lake > Mangshe River; (2) fluoride concentrations in 22.93% of the collected samples were lower than 0.5 mg L-1, which has the risk of tooth cavities, especially for the Mangshe River; (3) the fluoride exposure levels of infants were higher than children and adults, and 3.2% of the fluoride exposure levels of infants were higher than the recommended toxicity reference value of 122 μg kg-1 d-1 as referenced by Health Canada, which might cause dental fluorosis issues; (4) the physico-chemical characteristics are classified the into four groups reflecting F-- TAlk, Na⁺-K⁺, SO₄2--Cl-, and pH-TDS, respectively, indicating that fluoride solubility in drinking water is TAlk dependent, which is also verified by R-mode cluster analysis and factor analysis. The results obtained supply useful information for the health department in Yancheng City, encouraging them to pay more attention to fluoride concentration and TAlk in drinking water sources.
Yumin Wang; Ran Yu; Guangcan Zhu. Evaluation of Physicochemical Characteristics in Drinking Water Sources Emphasized on Fluoride: A Case Study of Yancheng, China. International Journal of Environmental Research and Public Health 2019, 16, 1030 .
AMA StyleYumin Wang, Ran Yu, Guangcan Zhu. Evaluation of Physicochemical Characteristics in Drinking Water Sources Emphasized on Fluoride: A Case Study of Yancheng, China. International Journal of Environmental Research and Public Health. 2019; 16 (6):1030.
Chicago/Turabian StyleYumin Wang; Ran Yu; Guangcan Zhu. 2019. "Evaluation of Physicochemical Characteristics in Drinking Water Sources Emphasized on Fluoride: A Case Study of Yancheng, China." International Journal of Environmental Research and Public Health 16, no. 6: 1030.
Reliability of Water Distribution System (WDS) had been widely studied from mechanical and hydraulic aspects for a long time. Compared with them, water quality reliability (WQR) of WDS was not widely-presented by now. In this paper, WQR model of WDS based on entropy technology was proposed and applied to two typical water distribution systems. The results obtained showed that the water quality reliability had relationship with water sources, which was also important for hydraulic reliability of WDS. As a result, the presented model was suitable for assessing the water quality reliability of WDS.
Yumin Wang; Ran Yu; Guangcan Zhu. Water quality reliability based on information entropy technology in water distribution system. IOP Conference Series: Earth and Environmental Science 2019, 227, 052016 .
AMA StyleYumin Wang, Ran Yu, Guangcan Zhu. Water quality reliability based on information entropy technology in water distribution system. IOP Conference Series: Earth and Environmental Science. 2019; 227 (5):052016.
Chicago/Turabian StyleYumin Wang; Ran Yu; Guangcan Zhu. 2019. "Water quality reliability based on information entropy technology in water distribution system." IOP Conference Series: Earth and Environmental Science 227, no. 5: 052016.
In this paper, to interpret the cost structure of decentralized wastewater treatment plants (DWWTPs) in rural regions, a simple nonparametric regression algorithm known as multivariate adaptive regression spline (MARS) was proposed and applied to simulate the construction cost (CC), operation and maintenance cost (OMC), and total cost (TC). The effects of design treatment capacity (DTC), removal efficiency of chemical oxygen demand (RCOD), and removal efficiency of ammonia nitrogen (RNH3-N) on the cost functions of CC, OMC, and TC were analyzed in detail. The results indicated that: (1) DTC is the most important parameter to determine cost structure with relative importance of 100%, followed by RCOD and RNH3-N with relative importance of 16.55%, and 9.75%, respectively; (2) when DTC is less than 5 m3/d, the slopes of CC and TC on DTC are constants of 1.923 and 1.809, respectively, with no relationship with RCOD and RNH3-N; (3) when DTC is less than 20 m3/d, the OMC is a constant of 435 RMB/year; and (4) in other cases, CC, OMC, and TC are related to RCOD and RNH3-N besides DTC. Compared with widely used support vector machine (SVM) models and multiple linear regression (MLR) models, the MARS model has better statistical significance with greater R values and smaller RMSE and MAPE values, which indicated that the MARS model is a better way to approximate the cost for DWWTPs.
Yumin Wang; Lei Wu; Bernard Engel. Prediction of Sewage Treatment Cost in Rural Regions with Multivariate Adaptive Regression Splines. Water 2019, 11, 195 .
AMA StyleYumin Wang, Lei Wu, Bernard Engel. Prediction of Sewage Treatment Cost in Rural Regions with Multivariate Adaptive Regression Splines. Water. 2019; 11 (2):195.
Chicago/Turabian StyleYumin Wang; Lei Wu; Bernard Engel. 2019. "Prediction of Sewage Treatment Cost in Rural Regions with Multivariate Adaptive Regression Splines." Water 11, no. 2: 195.
Since governments all over the world are paying more attention to water quality in water distribution systems (WDS), a method based on mass balance and first-order chlorine decay model was proposed to assess the efficiency of WDS involving water quality (represented by residual chlorine). The concepts of surplus chlorine factor (S) for nodes in individual pipes and comprehensive surplus chlorine factor (CS) for nodes in WDS were put forward to represent the water quality characteristic of nodes in WDS based on the assumption that the structure of the pipe network and quantity of chlorine dose are definite. The proposed method was applied to two examples of WDS and sensitivity analysis regarding chlorine decay coefficient (k0) was discussed. The results indicated that values of CS for nodes in WDS are affected by the inflow of nodes, which is determined by water demand and pipe length from water sources to nodes. In addition, the value of CS increases with k0 when the inflow of the node is larger than the optimized inflow. The results verified that the deduction of S for a single pipe can be generalized to WDS, and can measure the water quality characteristics for nodes in WDS easily.
Yumin Wang; Guangcan Zhu; Zhonglian Yang. Analysis of water quality characteristic for water distribution systems. Journal of Water Reuse and Desalination 2018, 9, 152 -162.
AMA StyleYumin Wang, Guangcan Zhu, Zhonglian Yang. Analysis of water quality characteristic for water distribution systems. Journal of Water Reuse and Desalination. 2018; 9 (2):152-162.
Chicago/Turabian StyleYumin Wang; Guangcan Zhu; Zhonglian Yang. 2018. "Analysis of water quality characteristic for water distribution systems." Journal of Water Reuse and Desalination 9, no. 2: 152-162.
Probabilistic lifetime cancer risks and non-cancer risks of trihalomethanes (THMs) through ingestion, dermal contact, and inhalation exposure in 88 drinking water treatment plants (WTPs) with raw waters from five water systems (WSs) in Jiangsu Province were analyzed and compared. Concentrations of THMs in finished water of study WTPs varied, ranging from 18.81 to 38.96 μg/L, which are lower than the maximum of 80 μg/L recommended by USEPA. The results of health risk assessment indicated that cancer risk as well as non-cancer risks of THMs in WTPs sourced from five water systems decreased in the order of WS3 > WS5 > WS2 > WS1 > WS4. The comparison among multiple exposure routes indicated that when non-boiled drinking water is consumed, ingestion has the highest exposure route, with exposure values greater than dermal contact and inhalation for WTPs with raw water from all five water systems. However, when drinking boiled water, dermal contact is the major risk source for WTPs with raw water from WS1 and WS2, instead of dermal contact, inhalation becomes the major risk source for WTPs with raw water from WS3, WS4, and WS5. In WTPs with raw water from water systems WS1, WS3, WS4, and WS5, dibromochloromethane (DBCM) in THMs has the highest contribution to cancer risk, while chloroform in THMs has the highest contribution to non-cancer risk. However, in WTPs with raw water from water system WS2, bromodichloromethane (BDCM) has the highest contribution to both cancer risk and non-cancer risk. The results also indicated that females are prone to cancer risk induced by THMs since Chinese people are accustomed to drinking boiled water. The results supply valuable information for health departments to put forward more specific and efficient policies to control water borne diseases.
Yumin Wang; Guangcan Zhu; Bernard Engel. Health risk assessment of trihalomethanes in water treatment plants in Jiangsu Province, China. Ecotoxicology and Environmental Safety 2018, 170, 346 -354.
AMA StyleYumin Wang, Guangcan Zhu, Bernard Engel. Health risk assessment of trihalomethanes in water treatment plants in Jiangsu Province, China. Ecotoxicology and Environmental Safety. 2018; 170 ():346-354.
Chicago/Turabian StyleYumin Wang; Guangcan Zhu; Bernard Engel. 2018. "Health risk assessment of trihalomethanes in water treatment plants in Jiangsu Province, China." Ecotoxicology and Environmental Safety 170, no. : 346-354.
In this paper, spatial and temporal variations of trihalomethane (THM) concentrations were analyzed including chloroform trichloromethane (TCM), bromodichloromethane (BDCM), dibromochloromethane (DBCM), and tribromomethane (TBM) in Yancheng City in Jiangsu Province, China. The water samples were collected monthly from January 2014 to January 2017 from four tap water sampling sites (S1, S2, S3, and S4) and two finished water sampling sites (WTP1 and WTP2) for THM analysis. The results showed that the mean concentrations during the study period for TCM, BDCM, DBCM, and TBM were 7, 15.9, 21, and 10.4 μg/L in tap water samples and 3.2, 17.2, 22.7, and 10 μg/L in finished water samples, which indicated that brominated THM concentrations were higher than chlorinated THM concentrations. The results of spatial analysis showed that THM concentrations in WTP1 were related to those in S1 and S4 and THM concentrations in WTP2 were related to those in S2 and S3. The concentrations of TCM, BDCM, and TBM have significant spatial variance, while DBCM and THM concentrations do not. The temporal analysis revealed that the highest THM concentration occurred in April, both in tap water and in finished water, which was also shown by temporal cluster analysis. The lowest THM concentration occurred in seasons with relatively lower temperature in all sampling sites. The results provide important information for environmental protection agencies and health care centers with emphasis on months with higher THM risk.
Yumin Wang; Guangcan Zhu; Bernard Engel. Variation and relationship of THMs between tap water and finished water in Yancheng City, China. Environmental Monitoring and Assessment 2018, 190, 517 .
AMA StyleYumin Wang, Guangcan Zhu, Bernard Engel. Variation and relationship of THMs between tap water and finished water in Yancheng City, China. Environmental Monitoring and Assessment. 2018; 190 (9):517.
Chicago/Turabian StyleYumin Wang; Guangcan Zhu; Bernard Engel. 2018. "Variation and relationship of THMs between tap water and finished water in Yancheng City, China." Environmental Monitoring and Assessment 190, no. 9: 517.
By combining a system dynamics (SD) model and an analytic hierarchy process (AHP), an evaluation index system for water environment carrying capacity (WECC) in the Bosten Lake basin was developed that considers mutual interactions among six subsystems of industry, agriculture, population, water supply, water ecology, and water pollution. The model was tested with data including water level, surface area, water volume, chemical oxygen demand (COD) concentration, total nitrogen (TN) concentration, and salinity concentration observed for 2002-2010. In addition, the model was applied to study and compare the trend of WECC under seven scenarios from 2002 to 2024. The results indicated that the WECC trends of industrial water consumption drop 0.5% each year (Scenario 2) and water transport from Bosten Lake to the Tarim River of 0.5 billion m3 each year (Scenario 6) were the same as Scenario 1 (present mode), which means that Scenario 2 and Scenario 6 cannot improve the WECC of Bosten Lake. As for the other four scenarios, the effects on the WECC of Bosten Lake were in the order of increase ground water exploitation (Scenario 7) > water-saving irrigation investment (Scenario 4) > increase reed area (Scenario 5) > increase industrial water reutilization rate (Scenario 3). Although the four scenarios can improve the WECC of Bosten Lake, only Scenario 7, i.e. increasing ground water exploitation rate by 3%, can turn the carrying status of WECC from poor to good. In addition, population and concentrations of COD, TN, and salinity will improve in the improved scheme compared to the present mode. The sensitivity of three parameters including the growth rate of water demand per 104 USD, growth of reutilization rate in industrial water, and ecological water transport were analyzed. The results indicated that both growth rate of water demand per 104 USD and growth of reutilization rate in industrial water increased the WECC of Bosten Lake. Moreover, the WECC of Bosten Lake will be negatively affected when the water quantity of ecological water transport from Bosten Lake to the Tarim River exceeds 1 billion m3. The results provide a scientific basis for a reasonable development pattern in protecting the WECC of Bosten Lake.
Yumin Wang; Xiaode Zhou; Bernard Engel. Water environment carrying capacity in Bosten Lake basin. Journal of Cleaner Production 2018, 199, 574 -583.
AMA StyleYumin Wang, Xiaode Zhou, Bernard Engel. Water environment carrying capacity in Bosten Lake basin. Journal of Cleaner Production. 2018; 199 ():574-583.
Chicago/Turabian StyleYumin Wang; Xiaode Zhou; Bernard Engel. 2018. "Water environment carrying capacity in Bosten Lake basin." Journal of Cleaner Production 199, no. : 574-583.
The purpose of this paper was to provide an cost-effective methodology for assessing wastewater treatment technology. This methodology may be useful in the planning of treatment facilities in rural regions. The existing cost models focus mainly on municipal wastewater treatment plants, which mostly consider the influence of the capacity of plant ordinarily expressed as inhabitants or flow rate. In this paper, we propose a new model of cost function in rural regions that includes both the capacity of plant and the removal rate of pollutants. The water quality indicator chemical oxygen demand and NH3-N are chosen to be factors for a rural wastewater treatment model. The cost model enables us to understand the influence of pollutants’ removal rate and to compare various treatment technologies from an economic point of view. The statistical information comes from a sample of 221 wastewater treatment plants in rural regions located in Changshu, Jiangsu province of China adopting four treatment technologies such as membrane bioreactor technology, sequencing batch reactor, purification tank, biological filter and artificial wetland.
Wang Yumin; Wu Lei; Feng Yanhong. Cost function for treating wastewater in rural regions. DESALINATION AND WATER TREATMENT 2015, 57, 17241 -17246.
AMA StyleWang Yumin, Wu Lei, Feng Yanhong. Cost function for treating wastewater in rural regions. DESALINATION AND WATER TREATMENT. 2015; 57 (37):17241-17246.
Chicago/Turabian StyleWang Yumin; Wu Lei; Feng Yanhong. 2015. "Cost function for treating wastewater in rural regions." DESALINATION AND WATER TREATMENT 57, no. 37: 17241-17246.