Based on the analysis of the multiple ecological functions of green roofs, the main factors affecting the ecological functions of green roofs are expounded and the numerical simulation methods for quantitative calcula...Based on the analysis of the multiple ecological functions of green roofs, the main factors affecting the ecological functions of green roofs are expounded and the numerical simulation methods for quantitative calculation of ecological functions of green roofs are summarized in order to provide theoretical and method support for the construction of urban green roofs.展开更多
Mixed bacteria were enriched from heavy metals mine soil for cadmium(Cd(Ⅱ))-containing wastewater treatment. Batch adsorption experiment results showed that the optimal pH, temperature, initial Cd(Ⅱ) concentration, ...Mixed bacteria were enriched from heavy metals mine soil for cadmium(Cd(Ⅱ))-containing wastewater treatment. Batch adsorption experiment results showed that the optimal pH, temperature, initial Cd(Ⅱ) concentration, and biomass dosage were 6.0, 30 ℃, 20 mg/L, and 1 g/L, respectively. Living biomass exhibited better Cd(Ⅱ) removal efficiency(91.97%) than autoclaved biomass(79.54%) under optimal conditions. The isotherms and kinetics of living biomass conformed to the Langmuir isotherm model and pseudo-first-order kinetic model, respectively. FTIR results implied that amine groups, hydroxyl groups and phosphoric acid play an important role in the Cd(Ⅱ) adsorption process, while XRD results showed that crystalline Cd(OH)and CdO were obtained. After Cd(Ⅱ)-containing wastewater treatment exposure, the dominant bacteria genera included Comamonas(39.94%), unclassified_f__Enterobacteriaceae(34.96%), Ochrobactrum(14.07%), Alcaligenes(4.84%), Bordetella(2.07%), Serratia(1.04%), and Bacillus(1.01%). Function prediction showed that the abundance of metabolic genes changed significantly. This study proposes the potential application of mixed bacteria for Cd(Ⅱ)-containing wastewater treatment.展开更多
Author of this paper introduced the formation and development, main viewpoints, and framework of the theory of soil and water ecology, as well as the role and value of realizing the sustainable utilization of soil and...Author of this paper introduced the formation and development, main viewpoints, and framework of the theory of soil and water ecology, as well as the role and value of realizing the sustainable utilization of soil and water ecological resources, the sustainable maintenance of ecological environment, and the sustainable development of economy and society. The paper argued that in the current era, it is imperative to maintain the integrity and continuity of soil and water ecology and culture, emphasize the planning and construction of soil and water ecological infrastructure, and ensure the service functions of urban ecosystem, so as to realize the sustainable utilization of soil and water ecological resources, and the sustainable maintenance of ecological environment, and the sustainable development of economy and society.展开更多
The effluent total phosphorus(ETP) is an important parameter to evaluate the performance of wastewater treatment process(WWTP). In this study, a novel method, using a data-derived soft-sensor method, is proposed to ob...The effluent total phosphorus(ETP) is an important parameter to evaluate the performance of wastewater treatment process(WWTP). In this study, a novel method, using a data-derived soft-sensor method, is proposed to obtain the reliable values of ETP online. First, a partial least square(PLS) method is introduced to select the related secondary variables of ETP based on the experimental data. Second, a radial basis function neural network(RBFNN) is developed to identify the relationship between the related secondary variables and ETP. This RBFNN easily optimizes the model parameters to improve the generalization ability of the soft-sensor. Finally, a monitoring system, based on the above PLS and RBFNN, named PLS-RBFNN-based soft-sensor system, is developed and tested in a real WWTP. Experimental results show that the proposed monitoring system can obtain the values of ETP online and own better predicting performance than some existing methods.展开更多
Pedotransfer functions （PTFs） have been developed to estimate soil water retention curves （SWRC） by various techniques. In this study PTFs were developed to estimate the parameters （θs, θr, α and λ） of the B...Pedotransfer functions （PTFs） have been developed to estimate soil water retention curves （SWRC） by various techniques. In this study PTFs were developed to estimate the parameters （θs, θr, α and λ） of the Brooks and Corey model from a data set of 148 samples. Particle and aggregate size distribution fractal parameters （PSDFPs and ASDFPs, respectively） were computed from three fractal models for either particle or aggregate size distribution. The most effective model in each group was determined by sensitivity analysis. Along with the other variables, the selected fractal parameters were employed to estimate SWRC using multi-objective group method of data handling （mGMDH） and different topologies of artificial neural networks （ANNs）. The architecture of ANNs for parametric PTFs was different regarding the type of ANN, output layer transfer functions and the number of hidden neurons. Each parameter was estimated using four PTFs by the hierarchical entering of input variables in the PTFs. The inclusion of PSDFPs in the list of inputs improved the accuracy and reliability of parametric PTFs with the exception of ~s- The textural fraction variables in PTF1 for the estimation of a were replaced with PSDFPs in PTF3. The use of ASDFPs as inputs significantly improved a estimates in the model. This result highlights the importance of ASDFPs in developing parametric PTFs. The mCMDH technique performed significantly better than ANNs in most PTFs.展开更多
文摘Based on the analysis of the multiple ecological functions of green roofs, the main factors affecting the ecological functions of green roofs are expounded and the numerical simulation methods for quantitative calculation of ecological functions of green roofs are summarized in order to provide theoretical and method support for the construction of urban green roofs.
基金supported by the National Natural Science Foundation of China (No. 52170164)the Open Project of Key Laboratory of Environmental Biotechnology,CAS (No. kf2018001)the Scientific Research Foundation for Returned Scholars at the University of South China (No. 2018XQD25)
文摘Mixed bacteria were enriched from heavy metals mine soil for cadmium(Cd(Ⅱ))-containing wastewater treatment. Batch adsorption experiment results showed that the optimal pH, temperature, initial Cd(Ⅱ) concentration, and biomass dosage were 6.0, 30 ℃, 20 mg/L, and 1 g/L, respectively. Living biomass exhibited better Cd(Ⅱ) removal efficiency(91.97%) than autoclaved biomass(79.54%) under optimal conditions. The isotherms and kinetics of living biomass conformed to the Langmuir isotherm model and pseudo-first-order kinetic model, respectively. FTIR results implied that amine groups, hydroxyl groups and phosphoric acid play an important role in the Cd(Ⅱ) adsorption process, while XRD results showed that crystalline Cd(OH)and CdO were obtained. After Cd(Ⅱ)-containing wastewater treatment exposure, the dominant bacteria genera included Comamonas(39.94%), unclassified_f__Enterobacteriaceae(34.96%), Ochrobactrum(14.07%), Alcaligenes(4.84%), Bordetella(2.07%), Serratia(1.04%), and Bacillus(1.01%). Function prediction showed that the abundance of metabolic genes changed significantly. This study proposes the potential application of mixed bacteria for Cd(Ⅱ)-containing wastewater treatment.
文摘Author of this paper introduced the formation and development, main viewpoints, and framework of the theory of soil and water ecology, as well as the role and value of realizing the sustainable utilization of soil and water ecological resources, the sustainable maintenance of ecological environment, and the sustainable development of economy and society. The paper argued that in the current era, it is imperative to maintain the integrity and continuity of soil and water ecology and culture, emphasize the planning and construction of soil and water ecological infrastructure, and ensure the service functions of urban ecosystem, so as to realize the sustainable utilization of soil and water ecological resources, and the sustainable maintenance of ecological environment, and the sustainable development of economy and society.
基金Supported by the National Science Foundation of China(61622301,61533002)Beijing Natural Science Foundation(4172005)Major National Science and Technology Project(2017ZX07104)
文摘The effluent total phosphorus(ETP) is an important parameter to evaluate the performance of wastewater treatment process(WWTP). In this study, a novel method, using a data-derived soft-sensor method, is proposed to obtain the reliable values of ETP online. First, a partial least square(PLS) method is introduced to select the related secondary variables of ETP based on the experimental data. Second, a radial basis function neural network(RBFNN) is developed to identify the relationship between the related secondary variables and ETP. This RBFNN easily optimizes the model parameters to improve the generalization ability of the soft-sensor. Finally, a monitoring system, based on the above PLS and RBFNN, named PLS-RBFNN-based soft-sensor system, is developed and tested in a real WWTP. Experimental results show that the proposed monitoring system can obtain the values of ETP online and own better predicting performance than some existing methods.
基金Supported by the Bu Ali Sina University,Iran (No. 65178)
文摘Pedotransfer functions （PTFs） have been developed to estimate soil water retention curves （SWRC） by various techniques. In this study PTFs were developed to estimate the parameters （θs, θr, α and λ） of the Brooks and Corey model from a data set of 148 samples. Particle and aggregate size distribution fractal parameters （PSDFPs and ASDFPs, respectively） were computed from three fractal models for either particle or aggregate size distribution. The most effective model in each group was determined by sensitivity analysis. Along with the other variables, the selected fractal parameters were employed to estimate SWRC using multi-objective group method of data handling （mGMDH） and different topologies of artificial neural networks （ANNs）. The architecture of ANNs for parametric PTFs was different regarding the type of ANN, output layer transfer functions and the number of hidden neurons. Each parameter was estimated using four PTFs by the hierarchical entering of input variables in the PTFs. The inclusion of PSDFPs in the list of inputs improved the accuracy and reliability of parametric PTFs with the exception of ~s- The textural fraction variables in PTF1 for the estimation of a were replaced with PSDFPs in PTF3. The use of ASDFPs as inputs significantly improved a estimates in the model. This result highlights the importance of ASDFPs in developing parametric PTFs. The mCMDH technique performed significantly better than ANNs in most PTFs.
