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Inefficient and non-environmentally friendly absorbent production can lead to much resource waste and go against low carbon and sustainable development. A novel and efficient Mg-Fe-Ce (MFC) complex metal oxide absorbent of fluoride ion (F−) removal was proposed for safe, environmentally friendly, and sustainable drinking water management. A series of optimization and preparation processes for the adsorbent and batch experiments (e.g., effects of solution pH, adsorption kinetics, adsorption isotherms, effects of coexisting anions, as well as surface properties tests) were carried out to analyze the characteristics of the adsorbent. The results indicated that optimum removal of F− occurred in a pH range of 4–5.5, and higher adsorption performances also happened under neutral pH conditions. The kinetic data under 10 and 50 mg·g−1 were found to be suitable for the pseudo-second-order adsorption rate model, and the two-site Langmuir model was ideal for adsorption isotherm data as compared to the one-site Langmuir model. According to the two-site Langmuir model, the maximum adsorption capacity calculated at pH 7.0 ± 0.2 was 204 mg·g−1. The adsorption of F− was not affected by the presence of sulfate (SO42−), nitrate (NO3−), and chloride (Cl−), which was suitable for practical applications in drinking water with high F− concentration. The MFC adsorbent has an amorphous structure, and there was an exchange reaction between OH− and F−. The novel MFC adsorbent was proven to have higher efficiency, better economy, and environmental sustainability, and be more environmentally friendly.
Changjuan Dong; Xiaomei Wu; Zhanyi Gao; Peiling Yang; Mohd Khan. A Novel and Efficient Metal Oxide Fluoride Absorbent for Drinking Water Safety and Sustainable Development. Sustainability 2021, 13, 883 .
AMA StyleChangjuan Dong, Xiaomei Wu, Zhanyi Gao, Peiling Yang, Mohd Khan. A Novel and Efficient Metal Oxide Fluoride Absorbent for Drinking Water Safety and Sustainable Development. Sustainability. 2021; 13 (2):883.
Chicago/Turabian StyleChangjuan Dong; Xiaomei Wu; Zhanyi Gao; Peiling Yang; Mohd Khan. 2021. "A Novel and Efficient Metal Oxide Fluoride Absorbent for Drinking Water Safety and Sustainable Development." Sustainability 13, no. 2: 883.
A model based on economic structure adjustment and pollutants mitigation was proposed and applied in Urumqi. Best-worst case analysis and scenarios analysis were performed in the model to guarantee the parameters accuracy, and to analyze the effect of changes of emission reduction styles. Results indicated that pollutant-mitigations of electric power industry, iron and steel industry, and traffic relied mainly on technological transformation measures, engineering transformation measures and structure emission reduction measures, respectively; Pollutant-mitigations of cement industry relied mainly on structure emission reduction measures and technological transformation measures; Pollutant-mitigations of thermal industry relied mainly on the four mitigation measures. They also indicated that structure emission reduction was a better measure for pollutants mitigation of Urumqi. Iron and steel industry contributed greatly in SO2, NOx and PM (particulate matters) emission reduction and should be given special attention in pollutants emission reduction. In addition, the scales of iron and steel industry should be reduced with the decrease of SO2 mitigation amounts. The scales of traffic and electric power industry should be reduced with the decrease of NOx mitigation amounts, and the scales of cement industry and iron and steel industry should be reduced with the decrease of PM mitigation amounts. The study can provide references of pollutants mitigation schemes to decision-makers for regional economic and environmental development in the 12th Five-Year Plan on National Economic and Social Development of Urumqi.
Xiaowei Sun; Wei Li; Yulei Xie; Guohe Huang; Changjuan Dong; Jianguang Yin. An optimization model for regional air pollutants mitigation based on the economic structure adjustment and multiple measures: A case study in Urumqi city, China. Journal of Environmental Management 2016, 182, 59 -69.
AMA StyleXiaowei Sun, Wei Li, Yulei Xie, Guohe Huang, Changjuan Dong, Jianguang Yin. An optimization model for regional air pollutants mitigation based on the economic structure adjustment and multiple measures: A case study in Urumqi city, China. Journal of Environmental Management. 2016; 182 ():59-69.
Chicago/Turabian StyleXiaowei Sun; Wei Li; Yulei Xie; Guohe Huang; Changjuan Dong; Jianguang Yin. 2016. "An optimization model for regional air pollutants mitigation based on the economic structure adjustment and multiple measures: A case study in Urumqi city, China." Journal of Environmental Management 182, no. : 59-69.
In this study, a superiority–inferiority-based minimax-regret analysis (SI-MRA) model is developed for supporting the energy management systems (EMS) planning under uncertainty. In SI-MRA model, techniques of fuzzy mathematical programming (FMP) with the superiority and inferiority measures and minimax regret analysis (MMR) are incorporated within a general framework. The SI-MRA improves upon conventional FMP methods by directly reflecting the relationships among fuzzy coefficients in both the objective function and constraints with a high computational efficiency. It can not only address uncertainties expressed as fuzzy sets in both of the objective function and system constraints but also can adopt a list of scenarios to reflect the uncertainties of random variables without making assumptions on their possibilistic distributions. The developed SI-MRA model is applied to a case study of long-term EMS planning, where fuzziness and randomness exist in the costs for electricity generation and demand. A number of scenarios associated with various alternatives and outcomes under different electricity demand levels are examined. The results can help decision makers identify an optimal strategy of planning electricity generation and capacity expansion based on a minimax regret level under uncertainty.
C.J. Dong; Y.P. Li; G.H. Huang. Superiority–inferiority modeling coupled minimax-regret analysis for energy management systems. Applied Mathematical Modelling 2014, 38, 1271 -1287.
AMA StyleC.J. Dong, Y.P. Li, G.H. Huang. Superiority–inferiority modeling coupled minimax-regret analysis for energy management systems. Applied Mathematical Modelling. 2014; 38 (4):1271-1287.
Chicago/Turabian StyleC.J. Dong; Y.P. Li; G.H. Huang. 2014. "Superiority–inferiority modeling coupled minimax-regret analysis for energy management systems." Applied Mathematical Modelling 38, no. 4: 1271-1287.