E. McBean, C. Farrow, T. Preston, A. Yang, H. Cheng, Y. C. Wu, Z. Liu, J. Beauchamp, R. Beutel, G. Huang
. While many low-tech drinking water treatment technologies have been developed in an effort to improve delivery of safe drinking water to low income populations in the developing world, a continuing challenge for ceramic water filters (CWFs) is the dete-rioration over time of flow rate throughput. While the initial flow rate may be acceptable, significant declines in the flow throughput take place in the absence of a maintenance regime. In response, attaining more acceptable long-term performance is critical, to ensure adequa-cy of volumes to low income populations and imperative that improved guidance for the end-user as to the frequency and impact of cleaning regimes which is currently deficient in the literature be made available. This study describes research into the flow throughput trends of ceramic water filters and concludes that brushing the external surface of a CWF every 2 ~ 3 days maintains acceptable flow rates (> 1 L/h) for extended periods of time (average over 2.5 years of acceptable performance). An average lifetime throughput volume of 7308 L was observed; corresponding to a per area lifetime throughput volume of 9.7 L/cm 2 (for a 20 cm dual disc apparatus with surface area = 648 cm 2 ).
{"title":"Investigation of Maintenance Impacts on Flow Rates in Ceramic Disc Water Filters","authors":"E. McBean, C. Farrow, T. Preston, A. Yang, H. Cheng, Y. C. Wu, Z. Liu, J. Beauchamp, R. Beutel, G. Huang","doi":"10.3808/jeil.201900009","DOIUrl":"https://doi.org/10.3808/jeil.201900009","url":null,"abstract":". While many low-tech drinking water treatment technologies have been developed in an effort to improve delivery of safe drinking water to low income populations in the developing world, a continuing challenge for ceramic water filters (CWFs) is the dete-rioration over time of flow rate throughput. While the initial flow rate may be acceptable, significant declines in the flow throughput take place in the absence of a maintenance regime. In response, attaining more acceptable long-term performance is critical, to ensure adequa-cy of volumes to low income populations and imperative that improved guidance for the end-user as to the frequency and impact of cleaning regimes which is currently deficient in the literature be made available. This study describes research into the flow throughput trends of ceramic water filters and concludes that brushing the external surface of a CWF every 2 ~ 3 days maintains acceptable flow rates (> 1 L/h) for extended periods of time (average over 2.5 years of acceptable performance). An average lifetime throughput volume of 7308 L was observed; corresponding to a per area lifetime throughput volume of 9.7 L/cm 2 (for a 20 cm dual disc apparatus with surface area = 648 cm 2 ).","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"58 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":"129674349","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}
. The increasing developments of wind power plants occur in many countries, which are used to mitigate the adverse effects of fossil fuels on the environment. In consideration of negative impacts, wind energy should be systematically analyzed in order to opti-mize the plans of governments and developers. A decision-making support system for wind power plant site selection was developed by using geographical information system in this study. The environmental, economic, and technical factors are invoked to generate the methodology. By comparing the overall performance index from the results, the best locations for wind power plants can be selected. The methodology was applied to the case study of Saskatchewan, where the development of wind power plant could be considered urgent. The results demonstrate that Saskatchewan has great potential for wind power energy development and southwest Saskatchewan is the most favorable area.
{"title":"A GIS-based Decision-Making Support System for Wind Power Plant Site Selection, Case Study for Saskatchewan","authors":"L. Liu, G. Huang, B. Baetz, K. Turchenek","doi":"10.3808/jeil.201900022","DOIUrl":"https://doi.org/10.3808/jeil.201900022","url":null,"abstract":". The increasing developments of wind power plants occur in many countries, which are used to mitigate the adverse effects of fossil fuels on the environment. In consideration of negative impacts, wind energy should be systematically analyzed in order to opti-mize the plans of governments and developers. A decision-making support system for wind power plant site selection was developed by using geographical information system in this study. The environmental, economic, and technical factors are invoked to generate the methodology. By comparing the overall performance index from the results, the best locations for wind power plants can be selected. The methodology was applied to the case study of Saskatchewan, where the development of wind power plant could be considered urgent. The results demonstrate that Saskatchewan has great potential for wind power energy development and southwest Saskatchewan is the most favorable area.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"33 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":"130420190","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}
A. K. Nokhandan, E. Snieder, U. Khan, A. Eldyasti, Z. Ghaemi, M. Bagheri
Dissolved oxygen concentration (DO) is a crucial factor in maintaining aquatic ecosystem health. In this research, two data-driven modelling (DDM) techniques, multiple linear regression (MLR) and artificial neural networks (ANN), were developed, implemented and compared to predict the DO in the hypolimnetic layer of Seymareh Reservoir in Iran. Low DO in this Reservoir lead to a fish kill event and thus, this reservoir is of interest to water managers in the region. Water quality monitoring data from the Reservoir and an upstream river were used for training the models. In addition, two input variable selection methods, linear correlation analysis and combined neural pathway strength analysis (CNPSA, a nonlinear variable selection method) were developed and compared to determine the most significant inputs to predict hypolimnetic DO. A systematic method to select the optimum architecture of the network is proposed and tested. While these two approaches have been investigated previously, this research focuses on creating a systematic approach to combining two sources of uncertainty of DDM models. Additionally, the performance of CNPSA has not been compared to linear variable selection techniques. This research demonstrates the importance of using systematic input selection and network design for improved DO prediction in a large Reservoir. The performance of the models was quantified using the Nash-Sutcliffe efficiency and root mean squared error, which demonstrated that the ANN approach had better performance compared to the MLR model. The approach demonstrates that by using a systematic input variable selection approach combined with an optimised network architecture, a high performance of DO prediction can be achieved using easily measured upstream input data.
{"title":"A Comparison of Two Data-Driven Models to Predict Hypolimnetic Dissolved Oxygen Concentration: A Case Study of the Seymareh Reservoir in Iran","authors":"A. K. Nokhandan, E. Snieder, U. Khan, A. Eldyasti, Z. Ghaemi, M. Bagheri","doi":"10.3808/jeil.201900017","DOIUrl":"https://doi.org/10.3808/jeil.201900017","url":null,"abstract":"Dissolved oxygen concentration (DO) is a crucial factor in maintaining aquatic ecosystem health. In this research, two data-driven modelling (DDM) techniques, multiple linear regression (MLR) and artificial neural networks (ANN), were developed, implemented and compared to predict the DO in the hypolimnetic layer of Seymareh Reservoir in Iran. Low DO in this Reservoir lead to a fish kill event and thus, this reservoir is of interest to water managers in the region. Water quality monitoring data from the Reservoir and an upstream river were used for training the models. In addition, two input variable selection methods, linear correlation analysis and combined neural pathway strength analysis (CNPSA, a nonlinear variable selection method) were developed and compared to determine the most significant inputs to predict hypolimnetic DO. A systematic method to select the optimum architecture of the network is proposed and tested. While these two approaches have been investigated previously, this research focuses on creating a systematic approach to combining two sources of uncertainty of DDM models. Additionally, the performance of CNPSA has not been compared to linear variable selection techniques. This research demonstrates the importance of using systematic input selection and network design for improved DO prediction in a large Reservoir. The performance of the models was quantified using the Nash-Sutcliffe efficiency and root mean squared error, which demonstrated that the ANN approach had better performance compared to the MLR model. The approach demonstrates that by using a systematic input variable selection approach combined with an optimised network architecture, a high performance of DO prediction can be achieved using easily measured upstream input data.","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":"121323214","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}
Bi-level programming problem (BLPP) can make the final decision result is a mutually coordinated scheme among all layers, which can solve complex practical problems well. This paper summarizes and describes the methods to solve the bi-level programming problem, and proposes a fuzzy method to solve the BLPP by using the concepts of membership function and multiobjective optimization to solve the bilevel programming problem, and gives a numerical example to solve it. It also points out that developing a method to solve fuzzy problems and new concepts to solve multi-level programming problems are practical directions for future research.
{"title":"Fuzzy Approach for Bi-Level Programming Problems","authors":"R. Bai, L. Jin, Y. Wei","doi":"10.3808/jeil.202200089","DOIUrl":"https://doi.org/10.3808/jeil.202200089","url":null,"abstract":"Bi-level programming problem (BLPP) can make the final decision result is a mutually coordinated scheme among all layers, which can solve complex practical problems well. This paper summarizes and describes the methods to solve the bi-level programming problem, and proposes a fuzzy method to solve the BLPP by using the concepts of membership function and multiobjective optimization to solve the bilevel programming problem, and gives a numerical example to solve it. It also points out that developing a method to solve fuzzy problems and new concepts to solve multi-level programming problems are practical directions for future research.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"72 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":"126539796","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}
J. Ren, H. Liu, S. Ding, Z. Cao, Civil, Zhengzhou China Law
. Spatial-temporal patterns of river water quality, the identification of pollution sources and contaminated areas are crucial to water environment protection and sustainable development of the river basin. In this study, spatial-temporal characteristics of river water quality in the Yihe river basin were investigated through multivariate analysis methods, including principal component analysis (PCA), cluster analysis (CA), discriminant analysis (DA), and one-way ANOVA. The water quality indicators (Hydrogen ion concentration (pH), electric conductivity (EC), dissolved oxygen (DO), turbidity, chemical oxygen demand (COD), total phosphorus (TP), and ammonia nitrogen (NH 4+ -N)) were investigated at 17 sampling sites in three periods (i.e., high-, mean-, low flow period) during 2016 ~ 2017. The results show that: (1) PCA served to extract and recognize the most significant indicators affecting water quality in the Yihe river basin, i.e., pH, EC, COD, and NH 4+ -N. (2) CA divided the Yihe river basin into three groups with similar water quality features, namely the upper, middle, and lower reaches. (3) DA demonstrated strong dimensionality reduction ability with the accuracy of clustering was 94.1%, and only a few indicators (i.e., DO, EC, turbidity, NH 4+ -N, and TP) could reflect the spatial variations in water quality. (4) One-way ANOVA indicated that the water quality was the worst in the lower reach of Yihe river basin during the mean-flow period, fol- lowed by which in the upper and middle reaches during the high-flow period. (5) The spatiotemporal characteristics of water quality were mainly restrained by human factors (e.g., the construction of highway and agricultural activities), climate change (e.g., precipitation and temperature), and natural environments (e.g., topography).
{"title":"Spatio-Temporal Variation Characteristics of Water Quality and Its Response to Climate: A Case Study in Yihe River Basin","authors":"J. Ren, H. Liu, S. Ding, Z. Cao, Civil, Zhengzhou China Law","doi":"10.3808/jeil.202100070","DOIUrl":"https://doi.org/10.3808/jeil.202100070","url":null,"abstract":". Spatial-temporal patterns of river water quality, the identification of pollution sources and contaminated areas are crucial to water environment protection and sustainable development of the river basin. In this study, spatial-temporal characteristics of river water quality in the Yihe river basin were investigated through multivariate analysis methods, including principal component analysis (PCA), cluster analysis (CA), discriminant analysis (DA), and one-way ANOVA. The water quality indicators (Hydrogen ion concentration (pH), electric conductivity (EC), dissolved oxygen (DO), turbidity, chemical oxygen demand (COD), total phosphorus (TP), and ammonia nitrogen (NH 4+ -N)) were investigated at 17 sampling sites in three periods (i.e., high-, mean-, low flow period) during 2016 ~ 2017. The results show that: (1) PCA served to extract and recognize the most significant indicators affecting water quality in the Yihe river basin, i.e., pH, EC, COD, and NH 4+ -N. (2) CA divided the Yihe river basin into three groups with similar water quality features, namely the upper, middle, and lower reaches. (3) DA demonstrated strong dimensionality reduction ability with the accuracy of clustering was 94.1%, and only a few indicators (i.e., DO, EC, turbidity, NH 4+ -N, and TP) could reflect the spatial variations in water quality. (4) One-way ANOVA indicated that the water quality was the worst in the lower reach of Yihe river basin during the mean-flow period, fol- lowed by which in the upper and middle reaches during the high-flow period. (5) The spatiotemporal characteristics of water quality were mainly restrained by human factors (e.g., the construction of highway and agricultural activities), climate change (e.g., precipitation and temperature), and natural environments (e.g., topography).","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"11 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":"131587390","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}
The large-scale implementation of amine-based carbon capture processes requires the development of sustainable handling technology of the waste effluents. The generated wastewater contains significant amounts of ammonia and toxic degradation products, nitroamines and nitrosamines. They both pose great threats to the ecological environment and human health. Monoethanolamine (MEA) is one of the most commonly used absorption solvents in the post-combustion carbon capture process. In order to make a better management strategy, the waste components and the pathways of MEA degradation are demonstrated based on different reference papers and case studies. Moreover, the toxicity and environmental impact of the degradation products are evaluated. The goal of this review is to elucidate potential technologies that can either eliminate the hazardous nature of the amine waste or convert it into marketable products. We categorize these technologies as waste disposal, recycle, reuse, and chemical/biological treatment method. Several applications with a focus on biodegradation technique are examined according to their amine removal performance. The results reveal that bioconversion is a promising technique for handling amine-based wastewater at large-scale.
{"title":"Handling of Amine-Based Wastewater Produced During Carbon Capture","authors":"J. Yin, C. An, K. Zhao, Y. An, S. Young","doi":"10.3808/jeil.201900018","DOIUrl":"https://doi.org/10.3808/jeil.201900018","url":null,"abstract":"The large-scale implementation of amine-based carbon capture processes requires the development of sustainable handling technology of the waste effluents. The generated wastewater contains significant amounts of ammonia and toxic degradation products, nitroamines and nitrosamines. They both pose great threats to the ecological environment and human health. Monoethanolamine (MEA) is one of the most commonly used absorption solvents in the post-combustion carbon capture process. In order to make a better management strategy, the waste components and the pathways of MEA degradation are demonstrated based on different reference papers and case studies. Moreover, the toxicity and environmental impact of the degradation products are evaluated. The goal of this review is to elucidate potential technologies that can either eliminate the hazardous nature of the amine waste or convert it into marketable products. We categorize these technologies as waste disposal, recycle, reuse, and chemical/biological treatment method. Several applications with a focus on biodegradation technique are examined according to their amine removal performance. The results reveal that bioconversion is a promising technique for handling amine-based wastewater at large-scale.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"32 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":"133640709","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":"A Composite Graph Theoretic Approach to Modeling Landscape Connectivity for Wildlife Movement in Western Canada","authors":"M. S. Islam, M. Quinn","doi":"10.3808/jeil.202100057","DOIUrl":"https://doi.org/10.3808/jeil.202100057","url":null,"abstract":"","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"130 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":"115893580","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}
Regional air pollution is affected not only by local pollution emissions but also by the trans-regional transportation of pollutants in adjacent areas. To explore the potential contribution source area of atmospheric particulate matter affecting Beijing, based on the Global Data Assimilation System of the National Centers for Environmental Prediction (December 2016 ~ November 2021), this study uses the Hybrid Single-Particle Lagrangian Integrated Trajectory model to cluster the 72-hour backward airflow trajectory arriving in Beijing by season. Combined with the ground observation data of PM2.5 and PM10 mass concentration, the spatial characteristics of different traffic routes in Beijing and their contribution to the accumulation of PM2.5 and PM10 concentration are analyzed by using the Potential Source Contribution Function and the Concentration Weighted Trajectory, which provides a reasonable theoretical basis for the coordinated treatment of regional air pollution. The results show that the distribution of potential contribution source areas of PM2.5 and PM10 in Beijing has obvious seasonal characteristics, and the concentration contribution of different transportation routes is significantly different. In winter, the distribution of potential source areas shows a trend from northwest to Southeast, which forms a conveyor belt from central Inner Mongolia of China to Beijing through Zhangjiakou of Hebei Province. The high concentration contribution areas of PM2.5 and PM10 are concentrated in the urban area of Beijing, Baoding of Hebei Province, and the west of Tianjin. In spring and autumn, the potential source areas are distributed from south to north, which mainly cover the central part of Hebei Province and the urban area of Beijing. The high concentration contribution areas of PM2.5 and PM10 are smaller than those in winter, and are dotted in Baoding, Shijiazhuang and other places of Hebei Province.
{"title":"Analysis of Transport Channel and Pollution Source Area of Atmospheric Particulate Matter in Beijing, China Based on Hybrid Single-Particle Lagrangian Integrated Trajectory Model","authors":"J. Chen, C. Zhou","doi":"10.3808/jeil.202200081","DOIUrl":"https://doi.org/10.3808/jeil.202200081","url":null,"abstract":"Regional air pollution is affected not only by local pollution emissions but also by the trans-regional transportation of pollutants in adjacent areas. To explore the potential contribution source area of atmospheric particulate matter affecting Beijing, based on the Global Data Assimilation System of the National Centers for Environmental Prediction (December 2016 ~ November 2021), this study uses the Hybrid Single-Particle Lagrangian Integrated Trajectory model to cluster the 72-hour backward airflow trajectory arriving in Beijing by season. Combined with the ground observation data of PM2.5 and PM10 mass concentration, the spatial characteristics of different traffic routes in Beijing and their contribution to the accumulation of PM2.5 and PM10 concentration are analyzed by using the Potential Source Contribution Function and the Concentration Weighted Trajectory, which provides a reasonable theoretical basis for the coordinated treatment of regional air pollution. The results show that the distribution of potential contribution source areas of PM2.5 and PM10 in Beijing has obvious seasonal characteristics, and the concentration contribution of different transportation routes is significantly different. In winter, the distribution of potential source areas shows a trend from northwest to Southeast, which forms a conveyor belt from central Inner Mongolia of China to Beijing through Zhangjiakou of Hebei Province. The high concentration contribution areas of PM2.5 and PM10 are concentrated in the urban area of Beijing, Baoding of Hebei Province, and the west of Tianjin. In spring and autumn, the potential source areas are distributed from south to north, which mainly cover the central part of Hebei Province and the urban area of Beijing. The high concentration contribution areas of PM2.5 and PM10 are smaller than those in winter, and are dotted in Baoding, Shijiazhuang and other places of Hebei Province.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"3 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":"116174888","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}
Josep M. Guerrero, A. Mahmoud, T. Alam, A. Sanchez, K. Jones, A. Ernest
The National Estuary Program (NEP) is a promising eco-system based approach to improve the water quality and ecological integrity of estuaries of national importance in the United States. Due to population growth and concomitant development pressure in South Texas, the future of the Lower Laguna Madre (LLM) without an estuary program is problematic. The development of a management plan for the LLM will enable the region to develop local solutions to local problems. The fundamental purpose of this research was to develop a strategic plan for the foundation of the Laguna Madre Estuary Program of the Gulf Coast of Texas. The comprehensive plan provided local communities with information to restore water quality, conversing habitat, and protecting coastal resources along the Gulf coast. The strategic plan was organized along the lines of the NEP program focused on the three most important foundational elements to establish a NEP for the LLM. The three primary Thrust Areas are as follows: (1) the national significance of the Laguna Madre estuary system, (2) the needs and goals for a proposed program, and finally (3) the plan for the sustainability and support to operate and maintain such a NEP. The outcomes of the strategic plan can be used as a model by the decision-makers to promote community resilience and establish integrated local water quality and ecosystem management plans for their respective communities and jurisdictions. Ultimately, the main objective of this project is to assess the ability to integrate science and public policy development for the common good.
{"title":"Collaborative Environmental Approach for Development of the Lower Laguna Madre Estuary Program Strategic Plan in South Texas","authors":"Josep M. Guerrero, A. Mahmoud, T. Alam, A. Sanchez, K. Jones, A. Ernest","doi":"10.3808/jeil.202100075","DOIUrl":"https://doi.org/10.3808/jeil.202100075","url":null,"abstract":"The National Estuary Program (NEP) is a promising eco-system based approach to improve the water quality and ecological integrity of estuaries of national importance in the United States. Due to population growth and concomitant development pressure in South Texas, the future of the Lower Laguna Madre (LLM) without an estuary program is problematic. The development of a management plan for the LLM will enable the region to develop local solutions to local problems. The fundamental purpose of this research was to develop a strategic plan for the foundation of the Laguna Madre Estuary Program of the Gulf Coast of Texas. The comprehensive plan provided local communities with information to restore water quality, conversing habitat, and protecting coastal resources along the Gulf coast. The strategic plan was organized along the lines of the NEP program focused on the three most important foundational elements to establish a NEP for the LLM. The three primary Thrust Areas are as follows: (1) the national significance of the Laguna Madre estuary system, (2) the needs and goals for a proposed program, and finally (3) the plan for the sustainability and support to operate and maintain such a NEP. The outcomes of the strategic plan can be used as a model by the decision-makers to promote community resilience and establish integrated local water quality and ecosystem management plans for their respective communities and jurisdictions. Ultimately, the main objective of this project is to assess the ability to integrate science and public policy development for the common good.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"50 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":"128341333","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}
M. Li, L. Wang, D. Zheng, X. Ge, R. Cheng, M. Y. Wang
Eutrophication is one of major environmental problems in the Lihe area, China. Reducing the entry of external nitrogen is an effective way to alleviate this problem. Plants, growing in ecological embankment can absorb nitrogen from soil and effectively achieve the purpose of reducing external nitrogen into the water. In order to choose suitable buffer zone plants, this paper explores the viability under three nitrogen concentrations (low, middle, and high) in soil of 13 common plants around Lihe area and their nitrogen utilization ability. Results show that there is no obvious relationship between the absorption and utilization of nitrogen and classifications of plants. JNL (Jasminum nudiflorum Lindl.) possesses high plant total nitrogen concentration (PTN), PTN increase ratio, nitrate reductase activity (NRA), chlorophyll content, and excellent chlorophyll fluorescence parameters under the three nitrogen levels, which demonstrates that JNL adapts well in three nitrogen environments and has a high nitrogen absorption capacity. Therefore, it is the first candidate for Lihe ecological embankment. In addition, BML (Buxus megistophylla Levl.), SJL (Sophora japonica Linn.), OJKJ (Ophiopogon japonicus (Linn. f.) Ker-Gawl.), and RPL (Robinia pseudoacacia Linn.) are also promising candidates. This article provides a technical reference for the establishment of Lihe ecological embankment, and the suggested candidate plants include three classifications (arbor, shrub, and herb), which is not only conducive to the local ecosystem stability, but also in line with the landscape design concept.
{"title":"Plant Selection of Ecological Embankment for Nitrogen Removal in Lihe, China","authors":"M. Li, L. Wang, D. Zheng, X. Ge, R. Cheng, M. Y. Wang","doi":"10.3808/jeil.201900021","DOIUrl":"https://doi.org/10.3808/jeil.201900021","url":null,"abstract":"Eutrophication is one of major environmental problems in the Lihe area, China. Reducing the entry of external nitrogen is an effective way to alleviate this problem. Plants, growing in ecological embankment can absorb nitrogen from soil and effectively achieve the purpose of reducing external nitrogen into the water. In order to choose suitable buffer zone plants, this paper explores the viability under three nitrogen concentrations (low, middle, and high) in soil of 13 common plants around Lihe area and their nitrogen utilization ability. Results show that there is no obvious relationship between the absorption and utilization of nitrogen and classifications of plants. JNL (Jasminum nudiflorum Lindl.) possesses high plant total nitrogen concentration (PTN), PTN increase ratio, nitrate reductase activity (NRA), chlorophyll content, and excellent chlorophyll fluorescence parameters under the three nitrogen levels, which demonstrates that JNL adapts well in three nitrogen environments and has a high nitrogen absorption capacity. Therefore, it is the first candidate for Lihe ecological embankment. In addition, BML (Buxus megistophylla Levl.), SJL (Sophora japonica Linn.), OJKJ (Ophiopogon japonicus (Linn. f.) Ker-Gawl.), and RPL (Robinia pseudoacacia Linn.) are also promising candidates. This article provides a technical reference for the establishment of Lihe ecological embankment, and the suggested candidate plants include three classifications (arbor, shrub, and herb), which is not only conducive to the local ecosystem stability, but also in line with the landscape design concept.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"16 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":"125119257","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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