In this study, a geographically weighted regression (GWR) approach was adopted to forecast regional concentration of particulate matter 2.5 (PM2.5) for the southern Ontario based on both in situ meteorological measurement and Satellite retrievals of aerosol optical depth (AOD). The correlation between monitored concentration of PM2.5 and Satellite-retrieved AOD would be quantified. The ground-level PM2.5 for South Ontario area was then predicted using GWR with AOD and meteorological variables considered as inputs. The results indicated that performance of GWR was slightly better than the ordinary least squares (OLS) model, indicating spatial variations between independent and dependent variables. Consequently, the GWR model can help us to predict the PM2.5 concentration in terms of time or region with satellite data, and also help improve satellite data inversion.
{"title":"Regional PM2.5 Estimation for Southern Ontario through Geographically Weighted Regression","authors":"K. Huang","doi":"10.3808/jeil.202300100","DOIUrl":"https://doi.org/10.3808/jeil.202300100","url":null,"abstract":"In this study, a geographically weighted regression (GWR) approach was adopted to forecast regional concentration of particulate matter 2.5 (PM2.5) for the southern Ontario based on both in situ meteorological measurement and Satellite retrievals of aerosol optical depth (AOD). The correlation between monitored concentration of PM2.5 and Satellite-retrieved AOD would be quantified. The ground-level PM2.5 for South Ontario area was then predicted using GWR with AOD and meteorological variables considered as inputs. The results indicated that performance of GWR was slightly better than the ordinary least squares (OLS) model, indicating spatial variations between independent and dependent variables. Consequently, the GWR model can help us to predict the PM2.5 concentration in terms of time or region with satellite data, and also help improve satellite data inversion.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"136 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115302521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research Progress on the Land Application of Tannery Sludge","authors":"K. Xu, C. Wu","doi":"10.3808/jeil.202100076","DOIUrl":"https://doi.org/10.3808/jeil.202100076","url":null,"abstract":"","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125890387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Response of Surface Water Quality in Urban and Non-urban Areas to Heavy Rainfall: Implications for the Impacts of Climate Change","authors":"Q. Wu, X. Xia","doi":"10.3808/JEIL.201900004","DOIUrl":"https://doi.org/10.3808/JEIL.201900004","url":null,"abstract":"","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127881376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Liu, Xiujuan Chen, H. Wang, Winnipeg Manitoba R P Y Canada Hsbc Bank Canada
. Being the third most significant anthropogenic greenhouse gas, nitrous gas (N 2 O) has 300-fold stronger effect than carbon dioxide (CO 2 ) and 4 ~ 30-fold stronger effect than methane (CH 4 ). In this study, the main sources and mechanisms of N 2 O emission from biological wastewater treatment were reviewed, and the possible mitigation strategies were discussed. Parameters including dissolved oxygen, temperature, pH, organic carbon, and nitrite concentration have influences on the emission of N 2 O. The possible mitigation strategies were put forward by controlling these parameters in biological wastewater treatment and inducing modified technologies such as simultaneous nitrification-denitrification, denitrifying phosphorus removal, and aerobic granular sludge. In order to obtain a near-zero N 2 O emission, applying typical catalysts in the nitrification or denitrification tank to decompose N 2 O into harmless gas is recommended. Moreover, a method of developing photochemical processes to transform N 2 O could also be suggested.
{"title":"Perspective for Emission and Control of Nitrous Gas in Biological Wastewater Treatment","authors":"Y. Liu, Xiujuan Chen, H. Wang, Winnipeg Manitoba R P Y Canada Hsbc Bank Canada","doi":"10.3808/jeil.201900020","DOIUrl":"https://doi.org/10.3808/jeil.201900020","url":null,"abstract":". Being the third most significant anthropogenic greenhouse gas, nitrous gas (N 2 O) has 300-fold stronger effect than carbon dioxide (CO 2 ) and 4 ~ 30-fold stronger effect than methane (CH 4 ). In this study, the main sources and mechanisms of N 2 O emission from biological wastewater treatment were reviewed, and the possible mitigation strategies were discussed. Parameters including dissolved oxygen, temperature, pH, organic carbon, and nitrite concentration have influences on the emission of N 2 O. The possible mitigation strategies were put forward by controlling these parameters in biological wastewater treatment and inducing modified technologies such as simultaneous nitrification-denitrification, denitrifying phosphorus removal, and aerobic granular sludge. In order to obtain a near-zero N 2 O emission, applying typical catalysts in the nitrification or denitrification tank to decompose N 2 O into harmless gas is recommended. Moreover, a method of developing photochemical processes to transform N 2 O could also be suggested.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126034213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Scarcity of water resource recommended developing innovative technology to reclaim wastewater. Greywater is an appropriate source to reuse through advanced treatment. Meanwhile, MBRs are novel techniques to reclaim wastewater, which are composed of activated sludge processes and membrane filtration. Characteristic and application of Hybrid MBR, MBMBR and OMBR were reviewed in this article. And sources, analysis methods and controlling methods of biofouling resulted from extracellular polymeric substances and soluble microbial products were also discussed. According to a detailed analysis of research publications, MBRs are promising techniques to reclaim wastewater.
{"title":"Review on Membrane Biofouling Occurring in MBR and Its Related Technologies for Greywater or Wastewater Treatment","authors":"P. Zhang, S. Young, W. Huang","doi":"10.3808/jeil.202300101","DOIUrl":"https://doi.org/10.3808/jeil.202300101","url":null,"abstract":"Scarcity of water resource recommended developing innovative technology to reclaim wastewater. Greywater is an appropriate source to reuse through advanced treatment. Meanwhile, MBRs are novel techniques to reclaim wastewater, which are composed of activated sludge processes and membrane filtration. Characteristic and application of Hybrid MBR, MBMBR and OMBR were reviewed in this article. And sources, analysis methods and controlling methods of biofouling resulted from extracellular polymeric substances and soluble microbial products were also discussed. According to a detailed analysis of research publications, MBRs are promising techniques to reclaim wastewater.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130717834","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Gauging the Effects of Potential Chemical Transferal on High Flood-Risk Fenceline Communities","authors":"G. Newman, Z. Cai, R. Zhu, J. Horney, W. Chiu","doi":"10.3808/jeil.202100073","DOIUrl":"https://doi.org/10.3808/jeil.202100073","url":null,"abstract":"","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131235316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. D. Kirkey, C. B. Fuller, P. O’Brien, P. J. Kirkey, A. Mahmoud, A. N. Ernest, J. Guerrero
. A system comprised of software and on-site measurements is presented for accurately obtaining water stage data from vented or non-vented submersible pressure sensors installed at autonomous stream gauging stations. The system accounts for pressure sensor offset errors, water density, and local gravitational acceleration to produce a stage height reading which is accurate to either ±0.01 ft (±3 mm) or to the accuracy limit of the sensor, whichever is greater. A 2 nd order polynomial expression for determination of water density from temperature and salinity is developed and found to be sufficiently accurate for this purpose. Simulated stage measurements performed in the laboratory with a commercially produced sensor showed errors of up to ±0.04 ft in reported stage when the sensor’s default conversion from pressure to depth was used; the maximum error limit was reduced to ±0.02 ft when the sensor output was instead processed using the new system. A custom-designed, low-cost, versatile submersible pressure sensor is introduced and tested under the same conditions and found to exhibit a maximum error of ±0.04 ft without any sensor calibration. These new developments, integrated into previously developed inexpensive base stations, enable accurate monitoring of stage height at remote locations with low installation and operating costs.
{"title":"River & Estuary Observation Network: Refinement of Stage Height Sensor Subsystem for Low Cost and High Reliability","authors":"W. D. Kirkey, C. B. Fuller, P. O’Brien, P. J. Kirkey, A. Mahmoud, A. N. Ernest, J. Guerrero","doi":"10.3808/JEIL.202000045","DOIUrl":"https://doi.org/10.3808/JEIL.202000045","url":null,"abstract":". A system comprised of software and on-site measurements is presented for accurately obtaining water stage data from vented or non-vented submersible pressure sensors installed at autonomous stream gauging stations. The system accounts for pressure sensor offset errors, water density, and local gravitational acceleration to produce a stage height reading which is accurate to either ±0.01 ft (±3 mm) or to the accuracy limit of the sensor, whichever is greater. A 2 nd order polynomial expression for determination of water density from temperature and salinity is developed and found to be sufficiently accurate for this purpose. Simulated stage measurements performed in the laboratory with a commercially produced sensor showed errors of up to ±0.04 ft in reported stage when the sensor’s default conversion from pressure to depth was used; the maximum error limit was reduced to ±0.02 ft when the sensor output was instead processed using the new system. A custom-designed, low-cost, versatile submersible pressure sensor is introduced and tested under the same conditions and found to exhibit a maximum error of ±0.04 ft without any sensor calibration. These new developments, integrated into previously developed inexpensive base stations, enable accurate monitoring of stage height at remote locations with low installation and operating costs.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129576631","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Membrane filtration technology has been extensively applied in water/wastewater treatment to help address the issue of water shortage, in which polymeric membranes are most commonly used. However, the hydrophobic nature of polymeric membranes would contribute to membrane damage caused by accumulation of organic/inorganic fouling during filtration processes. The strategy of membrane surface functionalization with nanoparticles (NPs) has been investigated and utilized to effectively improve membrane performance. Herein, recent research efforts on surface functionalization of polymeric membranes with a variety of NPs for water/wastewater treatment were concisely reviewed, focusing on metal and metal-oxide NPs. Methods for the immobilization of NPs on membrane surface and their influences on membrane properties and performances were overviewed. Results and contributions achieved in the improvement of membrane performances through surface functionalization with NPs were summarized, and emphasis was given to membrane hydrophilicity, stability, as well as antifouling and antibacterial property. Furthermore, perspectives on the current challenges and future research needs in the development and application of surface functionalized polymeric membranes were discussed.
{"title":"Perspectives on Surface Functionalization of Polymeric Membranes with Metal and Metal-Oxide Nanoparticles for Water/Wastewater Treatment","authors":"X. Chen, W. Huang, B. Zhang","doi":"10.3808/jeil.202200083","DOIUrl":"https://doi.org/10.3808/jeil.202200083","url":null,"abstract":"Membrane filtration technology has been extensively applied in water/wastewater treatment to help address the issue of water shortage, in which polymeric membranes are most commonly used. However, the hydrophobic nature of polymeric membranes would contribute to membrane damage caused by accumulation of organic/inorganic fouling during filtration processes. The strategy of membrane surface functionalization with nanoparticles (NPs) has been investigated and utilized to effectively improve membrane performance. Herein, recent research efforts on surface functionalization of polymeric membranes with a variety of NPs for water/wastewater treatment were concisely reviewed, focusing on metal and metal-oxide NPs. Methods for the immobilization of NPs on membrane surface and their influences on membrane properties and performances were overviewed. Results and contributions achieved in the improvement of membrane performances through surface functionalization with NPs were summarized, and emphasis was given to membrane hydrophilicity, stability, as well as antifouling and antibacterial property. Furthermore, perspectives on the current challenges and future research needs in the development and application of surface functionalized polymeric membranes were discussed.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128722926","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In the past two decades, data-driven modeling has become a popular approach for different modeling tasks. This paper presents an evaluation of the performance of five widely used data-driven approaches (i.e., generalized linear model, lasso regression, support vector machine, neural networks, and random forest) for the modeling of the Etobicoke Creek watershed in Ontario, Canada. The models are built with eleven years of meteorological and hydrometric data from local stations, and the performance is examined by the Nash-Sutcliffe efficiency coefficient, coefficient of determination, mean absolute percentage error, and root mean squared error. The results show all the models are able to generate acceptable predictions and random forest has the highest accuracy. This study can provide support for the selection of hydrological modeling approaches in future studies.
{"title":"Evaluation of Data-Driven Methods for Hydrological Modeling: A Case Study of the Etobicoke Creek Watershed","authors":"T. Li, Z. Li","doi":"10.3808/jeil.202300106","DOIUrl":"https://doi.org/10.3808/jeil.202300106","url":null,"abstract":"In the past two decades, data-driven modeling has become a popular approach for different modeling tasks. This paper presents an evaluation of the performance of five widely used data-driven approaches (i.e., generalized linear model, lasso regression, support vector machine, neural networks, and random forest) for the modeling of the Etobicoke Creek watershed in Ontario, Canada. The models are built with eleven years of meteorological and hydrometric data from local stations, and the performance is examined by the Nash-Sutcliffe efficiency coefficient, coefficient of determination, mean absolute percentage error, and root mean squared error. The results show all the models are able to generate acceptable predictions and random forest has the highest accuracy. This study can provide support for the selection of hydrological modeling approaches in future studies.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128595110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hydrodesulfurization (HDS) plays a vital role in the production of clean fuels when more stringent environmental legislation forces the sulfur content in fuels to an ultra-low level. There are two alternative approaches for producing ultra-low sulfur diesel (ULSD) in a cost-effective way, including the activity improvement of HDS catalysts and the optimization of the operating conditions in HDS reactions. In this study, the activity improvement of HDS catalysts was first examined, and then the optimization of operational conditions was further explored to gain the ULSD in a cost-effective way. In detail, the catalysts were improved through optimizing the ratio between active metal (Mo) and promoter (Co) based on the MgO-Al2O3 as support. Precursors of the improved oxide catalysts and sulfide catalysts were characterized by various techniques, and the catalytic performances were further evaluated in the hydrodesulfurization of dibenzothiophene. Catalysts with the best catalytic performance were chosen to optimize the reaction conditions. Results show that the optimal amounts of catalysts were 4 wt.% of MoO3 and combined with 2 wt.% of CoO. Moreover, the optimal reaction conditions were reaction temperature of 240 °C, total reaction pressure of 4.0 MPa, the hydrogen-to-oil volume ratio of 300, and LHSV of 2.0 h−1. Under the optimal reaction condition, the desulfurization rate could reach to 99.8%.
{"title":"CoMo/Al2O3-MgO Supported Catalysts: Improvement of Hydrodesulfurization Activity and Optimization of Operational Processing","authors":"X. Zheng, Y. Yue","doi":"10.3808/jeil.202200085","DOIUrl":"https://doi.org/10.3808/jeil.202200085","url":null,"abstract":"Hydrodesulfurization (HDS) plays a vital role in the production of clean fuels when more stringent environmental legislation forces the sulfur content in fuels to an ultra-low level. There are two alternative approaches for producing ultra-low sulfur diesel (ULSD) in a cost-effective way, including the activity improvement of HDS catalysts and the optimization of the operating conditions in HDS reactions. In this study, the activity improvement of HDS catalysts was first examined, and then the optimization of operational conditions was further explored to gain the ULSD in a cost-effective way. In detail, the catalysts were improved through optimizing the ratio between active metal (Mo) and promoter (Co) based on the MgO-Al2O3 as support. Precursors of the improved oxide catalysts and sulfide catalysts were characterized by various techniques, and the catalytic performances were further evaluated in the hydrodesulfurization of dibenzothiophene. Catalysts with the best catalytic performance were chosen to optimize the reaction conditions. Results show that the optimal amounts of catalysts were 4 wt.% of MoO3 and combined with 2 wt.% of CoO. Moreover, the optimal reaction conditions were reaction temperature of 240 °C, total reaction pressure of 4.0 MPa, the hydrogen-to-oil volume ratio of 300, and LHSV of 2.0 h−1. Under the optimal reaction condition, the desulfurization rate could reach to 99.8%.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115927412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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