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}
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}
Wastewater treatment techniques have two categories: pre- and post-treatment. Physical, chemical, and biological pretreatment techniques are commonly employed to treat dairy wastewater. Secondly, dairy wastewater post-treatment techniques include physico-chemical and membrane treatment approaches. This review article aims to critically examine and describe pre- and post-treatment techniques for dairy wastewater treatment. The benefits, drawbacks, performance comparisons, and features of each pre - and posttreatment have been extensively investigated. This article uses a systematic literature review method to review and examine other research findings. The results indicate that despite extensive studies on pre- and post-treatment techniques, both have limitations. In this context, aerobic pre-treatment, for example, has high lactose levels, low water capacity, and efficiency concerns. Furthermore, anaerobic pretreatment has issues with lengthy starting times, a high fermentable lactose content, poor residual alkalinity, and fat consumption. In physico-chemical post-treatment, there are high amounts of sludge production and high quantities of chemicals required for pH corrections. Likewise, membrane post-treatment, for instance, has a short membrane lifespan, low selectivity and flux, linear up-scaling, and concentration polarization membrane fouling. Therefore, a synergy of physico-chemical and aerobic, for example, adsorption-aerobic, and synergy of pre-hydrolysis and anaerobic, such as enzymatic hydrolysis-anaerobic treatment, will help to overcome the drawbacks of both anaerobic and aerobic treatment techniques. In conclusion, the most promising techniques for dairy wastewater treatment are combinations of adsorption-aerobic and enzymatic hydrolysis-anaerobic with microfiltration, nanofiltration, reverse osmosis, and ultrafiltration.
{"title":"Dairy Wastewater Treatment through Synergies of the Biological and Hybrid Membrane: A Systematic Review","authors":"G. Mekuria","doi":"10.3808/jeil.202200087","DOIUrl":"https://doi.org/10.3808/jeil.202200087","url":null,"abstract":"Wastewater treatment techniques have two categories: pre- and post-treatment. Physical, chemical, and biological pretreatment techniques are commonly employed to treat dairy wastewater. Secondly, dairy wastewater post-treatment techniques include physico-chemical and membrane treatment approaches. This review article aims to critically examine and describe pre- and post-treatment techniques for dairy wastewater treatment. The benefits, drawbacks, performance comparisons, and features of each pre - and posttreatment have been extensively investigated. This article uses a systematic literature review method to review and examine other research findings. The results indicate that despite extensive studies on pre- and post-treatment techniques, both have limitations. In this context, aerobic pre-treatment, for example, has high lactose levels, low water capacity, and efficiency concerns. Furthermore, anaerobic pretreatment has issues with lengthy starting times, a high fermentable lactose content, poor residual alkalinity, and fat consumption. In physico-chemical post-treatment, there are high amounts of sludge production and high quantities of chemicals required for pH corrections. Likewise, membrane post-treatment, for instance, has a short membrane lifespan, low selectivity and flux, linear up-scaling, and concentration polarization membrane fouling. Therefore, a synergy of physico-chemical and aerobic, for example, adsorption-aerobic, and synergy of pre-hydrolysis and anaerobic, such as enzymatic hydrolysis-anaerobic treatment, will help to overcome the drawbacks of both anaerobic and aerobic treatment techniques. In conclusion, the most promising techniques for dairy wastewater treatment are combinations of adsorption-aerobic and enzymatic hydrolysis-anaerobic with microfiltration, nanofiltration, reverse osmosis, and ultrafiltration.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"12 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":"125944397","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 demand for milk rises dramatically due to the increased global population without damaging the standard of living. As a result, the scale of the dairy industry in the world is growing rapidly. Consequently, a concomitant problem that needs to be faced is the environmental impact of the by-products produced during the operation of the dairy farm. Among the substances produced in dairy farms, the most harmful pollutant to the environment is nitrogen (N). In addition, the N pollution from dairy farms is significant and N has a great danger to human health and society. This study provides a systematic review on how to alleviate N pollution from dairy cows during milk production and the removal of ammonia and nitrate from dairy wastewater via biochar adsorption. First, from a physiological perspective, the metabolic pathways of amino acids and ammonia in the rumen, portal-drained viscera, liver, and mammary gland of dairy cows are elaborated, as well as the measures to improve N utilization. In the second part, the progress of research on the removal of ammonia and nitrate by biochar adsorption and the involved mechanisms are summarized. Modified biochar has a significant improvement in nitrate removal due to weakening the repulsive effect of ions. Based on the review of this paper, it can provide relevant theoretical support for future studies on N pollution mitigation from dairy farms.
{"title":"Perspectives on the Fate of Absorbed Nitrogen in Dairy Farms","authors":"K. Zhao, B. Luo, Y. Wu, W. Liu","doi":"10.3808/jeil.202200095","DOIUrl":"https://doi.org/10.3808/jeil.202200095","url":null,"abstract":"The demand for milk rises dramatically due to the increased global population without damaging the standard of living. As a result, the scale of the dairy industry in the world is growing rapidly. Consequently, a concomitant problem that needs to be faced is the environmental impact of the by-products produced during the operation of the dairy farm. Among the substances produced in dairy farms, the most harmful pollutant to the environment is nitrogen (N). In addition, the N pollution from dairy farms is significant and N has a great danger to human health and society. This study provides a systematic review on how to alleviate N pollution from dairy cows during milk production and the removal of ammonia and nitrate from dairy wastewater via biochar adsorption. First, from a physiological perspective, the metabolic pathways of amino acids and ammonia in the rumen, portal-drained viscera, liver, and mammary gland of dairy cows are elaborated, as well as the measures to improve N utilization. In the second part, the progress of research on the removal of ammonia and nitrate by biochar adsorption and the involved mechanisms are summarized. Modified biochar has a significant improvement in nitrate removal due to weakening the repulsive effect of ions. Based on the review of this paper, it can provide relevant theoretical support for future studies on N pollution mitigation from dairy farms.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"127 7 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":"124241497","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 atmospheric dispersal of iron fragments ejected from detonated ordnance released within the Nam Souy sub-basin during the secret bombing campaign of Laos from 1965 ~ 1973 was simulated through python integration with ArcGIS. The data for the study was obtained from the US National Archives and shows that of a total of 7,667,619 weapons delivered in Laos (4.5 million tons), 19,005 (5,900 tons) were dropped within the study site. The simulation adapted Gaussian isotropic puff modeling for the dust/grain-sized fragments and explosive force radial release modeling for the larger fragments into python script to produce temporal raster output images of the dispersal patterns of the analyte. The use of code language libraries ArcPy, NumPy, and numba and the logic for their application is discussed and reported along with the script developed. The simulation produced 9 m2 resolution raster images displaying iron material loading at ground level. Loading density is reported at a range between 0 ~ 7.5 g/m2 washable iron load, 0 ~ 0.65 kg/m2 of suspended iron load, and 0 ~ 3.5 kg/m2 of bedded load. The results are intended for use in subsequent studies of surface removal over time with a potential application in exposure risk analysis and for the assessment of impact on natural environments.
{"title":"GIS Atmospheric Chemical Fate Model Simulation of Iron Released from High Intensity Bombing in Northwestern Laos","authors":"U. Gonzalez, D. Patton, G. Huang","doi":"10.3808/jeil.202300105","DOIUrl":"https://doi.org/10.3808/jeil.202300105","url":null,"abstract":"The atmospheric dispersal of iron fragments ejected from detonated ordnance released within the Nam Souy sub-basin during the secret bombing campaign of Laos from 1965 ~ 1973 was simulated through python integration with ArcGIS. The data for the study was obtained from the US National Archives and shows that of a total of 7,667,619 weapons delivered in Laos (4.5 million tons), 19,005 (5,900 tons) were dropped within the study site. The simulation adapted Gaussian isotropic puff modeling for the dust/grain-sized fragments and explosive force radial release modeling for the larger fragments into python script to produce temporal raster output images of the dispersal patterns of the analyte. The use of code language libraries ArcPy, NumPy, and numba and the logic for their application is discussed and reported along with the script developed. The simulation produced 9 m2 resolution raster images displaying iron material loading at ground level. Loading density is reported at a range between 0 ~ 7.5 g/m2 washable iron load, 0 ~ 0.65 kg/m2 of suspended iron load, and 0 ~ 3.5 kg/m2 of bedded load. The results are intended for use in subsequent studies of surface removal over time with a potential application in exposure risk analysis and for the assessment of impact on natural environments.","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":"134162485","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}
Environmental noise has reached an alarming level and is affecting the exposed population. The noise levels are elevated during the festival season. This study aims to explore the influence of prime festivals on noise levels in an urban area. 18 locations in the Raipur city of Chhattisgarh, India, were selected for conducting the study during the Ganesh Utsav, Dussehra, and Diwali festivals. Study of equivalent noise level (Leq) and other noise parameters Traffic noise index (TNI), Noise Climate (NC), Noise exceeding 10% and (L10) and Noise exceeding 90% of measurement time (L90) were found for all three festivals in the A-weighted decibel scale (dBA). Noise maps from observed levels were prepared using the ArcGIS Inverse Distance Weighted (IDW) interpolation method. Noise levels ranged from 61.4 to 81.3 dBA during Ganesh Utsav, 63.5 to 79.9 dBA during Dussehra, and 70.1 to 81.2 dBA during the Diwali festival. All the locations recorded above 70 dBA during Diwali, whereas nearly 50 percent of the locations recorded above 70 dBA during Ganesh Utsav and Dussehra festivals. The urgent need to control the noise pollution in the Raipur city of Chhattisgarh by making strict rules is very much needed for making the ambient environment clean, green, and healthy.
{"title":"Exploring the Influence of Prime Festivals on Noise Pollution in Raipur, Chhattisgarh","authors":"V. Kumar, A. V. Ahirwar, A. D. Prasad","doi":"10.3808/jeil.202300107","DOIUrl":"https://doi.org/10.3808/jeil.202300107","url":null,"abstract":"Environmental noise has reached an alarming level and is affecting the exposed population. The noise levels are elevated during the festival season. This study aims to explore the influence of prime festivals on noise levels in an urban area. 18 locations in the Raipur city of Chhattisgarh, India, were selected for conducting the study during the Ganesh Utsav, Dussehra, and Diwali festivals. Study of equivalent noise level (Leq) and other noise parameters Traffic noise index (TNI), Noise Climate (NC), Noise exceeding 10% and (L10) and Noise exceeding 90% of measurement time (L90) were found for all three festivals in the A-weighted decibel scale (dBA). Noise maps from observed levels were prepared using the ArcGIS Inverse Distance Weighted (IDW) interpolation method. Noise levels ranged from 61.4 to 81.3 dBA during Ganesh Utsav, 63.5 to 79.9 dBA during Dussehra, and 70.1 to 81.2 dBA during the Diwali festival. All the locations recorded above 70 dBA during Diwali, whereas nearly 50 percent of the locations recorded above 70 dBA during Ganesh Utsav and Dussehra festivals. The urgent need to control the noise pollution in the Raipur city of Chhattisgarh by making strict rules is very much needed for making the ambient environment clean, green, and healthy.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"86 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":"132539334","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":"Water Distribution System Optimization Accounting for Worst-Case Transient Loadings","authors":"B. Jung","doi":"10.3808/jeil.202200077","DOIUrl":"https://doi.org/10.3808/jeil.202200077","url":null,"abstract":"","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"25 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":"132681170","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. Gutenson, A. Ernest, B. Bearden, C. Fuller, J. Guerrero
Sustainable water policy is predicated on engaged and representative stakeholders acting on sound and continuously evolving science. Just as stakeholder perspectives are numerous and diverse, so are the scientific disciplines or subject areas that define the availability, impact and use of water. There exists a need for scientists, engineers, and policy makers to better understand the inextricable network of feedback loops associated with the implementation of the science of water resources management and the polic y enabling water resources management. In this article, we propose the Water Resources Integrated Science and Policy Research (WRISPR) concept. WRISPR is a framework to engage stakeholders and policy makers in integrated water policy formation using a singular framework underpinned with cutting edge cyberinfrastructure and modeling tools. We find that WRISPR can be successfully applied by developing a demonstrative cyberinfrastructure framework in two distinct regions of the United States. We propose that WRISPR can be scaled to empower science-driven water policy at multiple spatial and temporal ranges.
{"title":"Integrating Societal and Scientific Elements into Sustainable and Effective Water Resource Policy Development","authors":"J. Gutenson, A. Ernest, B. Bearden, C. Fuller, J. Guerrero","doi":"10.3808/JEIL.202000048","DOIUrl":"https://doi.org/10.3808/JEIL.202000048","url":null,"abstract":"Sustainable water policy is predicated on engaged and representative stakeholders acting on sound and continuously evolving science. Just as stakeholder perspectives are numerous and diverse, so are the scientific disciplines or subject areas that define the availability, impact and use of water. There exists a need for scientists, engineers, and policy makers to better understand the inextricable network of feedback loops associated with the implementation of the science of water resources management and the polic y enabling water resources management. In this article, we propose the Water Resources Integrated Science and Policy Research (WRISPR) concept. WRISPR is a framework to engage stakeholders and policy makers in integrated water policy formation using a singular framework underpinned with cutting edge cyberinfrastructure and modeling tools. We find that WRISPR can be successfully applied by developing a demonstrative cyberinfrastructure framework in two distinct regions of the United States. We propose that WRISPR can be scaled to empower science-driven water policy at multiple spatial and temporal ranges.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"53 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":"131370231","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":"An Improved General Type-2 Fuzzy Approach for Planning Energy Resources Systems with Air Quality Requirements","authors":"Y. Cheng, L. Jin, D. Lin, P. Pan, X. Cheng","doi":"10.3808/jeil.202100071","DOIUrl":"https://doi.org/10.3808/jeil.202100071","url":null,"abstract":"","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":"130889994","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}
N. Wang, C. Z. Huang, M. Zhai, G. Cheng, F. Wang, L. J. Lin, B. Luo
The Songhua River Watershed (SHRW) in China has been challenged by water shortages, water pollution, water leakage, and soil erosion in recent years. In the next few decades, these problems will continue to exist and even worsen, threatening the quality of the regional ecological environment and socio-economic development. These issues must be alleviated through coupled farmland and water resources management (CFWRM) but are challenged by multiple system complexities. To fill this gap, this study developed an Interval Multi-Random Factorial Programming (IMRFP) to eliminate potential problems in SHRW and improve the reliability of the decision support process. A series of systematic CFWRM measures were applied to promote the harmonious SHRW ecological environ¬ment and social economy. For example, due to the significant contribution of agriculture to the regional economy, planting should always be a priority. As a major commercial crop, rice cultivation should be allocated the most irrigation water, followed by corn, potatoes, and soybeans. Therefore, after fully balancing the trade-off between the environment and the economy, policymakers should adopt the most reasonable proposals. Various support policies are needed to fully implement these measures in SHRW. For example, it is suggested to improve and update the construction of the water supply network in the SHRW area and appropriately change taxes and prices to follow the overall crop planting plan. The modeling solution shows that the IMRFP method can systematically optimize the allocation of water resources and farming patterns so that water shortage, water pollution, water leakage, and soil erosion in the SHRW can be alleviated.
{"title":"Interval Multi-Random Factorial Programming for Coupled Farmland and Water Resources Management -- A Case Study of Songhua River Watershed, China","authors":"N. Wang, C. Z. Huang, M. Zhai, G. Cheng, F. Wang, L. J. Lin, B. Luo","doi":"10.3808/jeil.202300099","DOIUrl":"https://doi.org/10.3808/jeil.202300099","url":null,"abstract":"The Songhua River Watershed (SHRW) in China has been challenged by water shortages, water pollution, water leakage, and soil erosion in recent years. In the next few decades, these problems will continue to exist and even worsen, threatening the quality of the regional ecological environment and socio-economic development. These issues must be alleviated through coupled farmland and water resources management (CFWRM) but are challenged by multiple system complexities. To fill this gap, this study developed an Interval Multi-Random Factorial Programming (IMRFP) to eliminate potential problems in SHRW and improve the reliability of the decision support process. A series of systematic CFWRM measures were applied to promote the harmonious SHRW ecological environ¬ment and social economy. For example, due to the significant contribution of agriculture to the regional economy, planting should always be a priority. As a major commercial crop, rice cultivation should be allocated the most irrigation water, followed by corn, potatoes, and soybeans. Therefore, after fully balancing the trade-off between the environment and the economy, policymakers should adopt the most reasonable proposals. Various support policies are needed to fully implement these measures in SHRW. For example, it is suggested to improve and update the construction of the water supply network in the SHRW area and appropriately change taxes and prices to follow the overall crop planting plan. The modeling solution shows that the IMRFP method can systematically optimize the allocation of water resources and farming patterns so that water shortage, water pollution, water leakage, and soil erosion in the SHRW can be alleviated.","PeriodicalId":143718,"journal":{"name":"Journal of Environmental Informatics Letters","volume":"107 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":"131507984","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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