A rational evaluation of the danger of debris flow disasters at the regional scale is essential for developing effective disas-ter prevention measures and economic planning in debris flow-prone areas. A novel projection pursuit method based on the connection cloud model and fruit fly optimization algorithm is addressed to analyze the dangerous degree of debris flow disasters at the regional scale, considering the random and fuzzy uncertainties of the projection direction vector. In this method, the connection cloud model gen-erates the candidate projection directions around the latest optimization; these candidate projection direction vectors are screened based on set pair analysis to advance the convergence rate. Case studies and comparisons with other algorithms are further carried out to verify the validity and reliability of the proposed method. Results demonstrate that the proposed method does not require existing evaluation criteria compared to the conventional evaluation methods. It can describe the randomness and fuzziness of the projection direction vector and better find the structural characteristics of fuzzy indicators randomly distributed in the finite intervals with a quicker convergence rate.
{"title":"Projection Pursuit Method Based on Connection Cloud Model for Assessment of Debris Flow Disasters","authors":"M. W. Wang, Y. Wang, F. Q. Shen, J. L. Jin","doi":"10.3808/jei.202200472","DOIUrl":"https://doi.org/10.3808/jei.202200472","url":null,"abstract":"A rational evaluation of the danger of debris flow disasters at the regional scale is essential for developing effective disas-ter prevention measures and economic planning in debris flow-prone areas. A novel projection pursuit method based on the connection cloud model and fruit fly optimization algorithm is addressed to analyze the dangerous degree of debris flow disasters at the regional scale, considering the random and fuzzy uncertainties of the projection direction vector. In this method, the connection cloud model gen-erates the candidate projection directions around the latest optimization; these candidate projection direction vectors are screened based on set pair analysis to advance the convergence rate. Case studies and comparisons with other algorithms are further carried out to verify the validity and reliability of the proposed method. Results demonstrate that the proposed method does not require existing evaluation criteria compared to the conventional evaluation methods. It can describe the randomness and fuzziness of the projection direction vector and better find the structural characteristics of fuzzy indicators randomly distributed in the finite intervals with a quicker convergence rate.\u0000","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"1 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2022-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138509127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-01DOI: 10.1007/978-981-19-2083-7
{"title":"Environmental Informatics: Challenges and Solutions","authors":"","doi":"10.1007/978-981-19-2083-7","DOIUrl":"https://doi.org/10.1007/978-981-19-2083-7","url":null,"abstract":"","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"47 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91200838","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Toward An Assessment of Runoff and Thermal Connectivity in A River-Lake System within An Urban Environment","authors":"Y. Liu, J. Du, Q. Wang, W. Yang, B. Cui","doi":"10.3808/jei.202200482","DOIUrl":"https://doi.org/10.3808/jei.202200482","url":null,"abstract":"","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"18 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81655007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Schuster-Wallace, S. Dickson-Anderson, S. Papalexiou, A. El Ganzouri
{"title":"Design and Application of the Tank Simulation Model (TSM): Assessing the Ability of Rainwater Harvesting to Meet Domestic Water Demand","authors":"C. Schuster-Wallace, S. Dickson-Anderson, S. Papalexiou, A. El Ganzouri","doi":"10.3808/jei.202200477","DOIUrl":"https://doi.org/10.3808/jei.202200477","url":null,"abstract":"","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"199 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77263906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
. The purpose of determining impact significance is to place value on impacts. Environmental impact assessment review is a process that judges whether impact significance is acceptable or not in accordance with the scientific facts regarding environmental, ecological and socio-economical impacts described in environmental impact statements or environmental impact assessment reports. The first aim of this paper is to summarize the criteria of significance evaluation from the past review results and accordingly utilize fuzzy rule-based system to incorporate these criteria into scientific facts. The second aim is to employ data mining technique to construct an environmental impact statement or environmental impact assessment report prediction model for reviewing results which can assist developers to prepare and revise better environmental management plans in advance. The validity of the previous prediction model proposed by authors in 2009 is 92.7%. The enhanced validity in this study can attain 100.0% after taking significance criteria into account. In the case study, some indicators are over-standard in first and second-order significance but all indicators ultimately fall into the category of conditional approval in third-order significance.
{"title":"Combining Scientific Facts and Significance Criteria to Predict the Result of an Environmental Impact Assessment Review","authors":"K. F. Liu, H. Liang, C. W. Chen, J. Chen, Y. Shen","doi":"10.3808/jei.201200212","DOIUrl":"https://doi.org/10.3808/jei.201200212","url":null,"abstract":". The purpose of determining impact significance is to place value on impacts. Environmental impact assessment review is a process that judges whether impact significance is acceptable or not in accordance with the scientific facts regarding environmental, ecological and socio-economical impacts described in environmental impact statements or environmental impact assessment reports. The first aim of this paper is to summarize the criteria of significance evaluation from the past review results and accordingly utilize fuzzy rule-based system to incorporate these criteria into scientific facts. The second aim is to employ data mining technique to construct an environmental impact statement or environmental impact assessment report prediction model for reviewing results which can assist developers to prepare and revise better environmental management plans in advance. The validity of the previous prediction model proposed by authors in 2009 is 92.7%. The enhanced validity in this study can attain 100.0% after taking significance criteria into account. In the case study, some indicators are over-standard in first and second-order significance but all indicators ultimately fall into the category of conditional approval in third-order significance.","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"36 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72811144","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Liu, Y. Zhang, X. Sheng, N. Li, Q. Ping, M. Niu, P. Lu, J. Zhang
Slow-release materials have the property of controlling the slow-release of drugs. At present, polymer slow-release materials have been widely studied, but the stability is poor and the release effect of components is difficult to control. The diatomite mineral is light in weight, small in volume and stable in physical and chemical properties. A series of diatomite based porous slow-release materials were prepared to explore the adsorption-release performance. The prepared slow-release materials have excellent porous structure and adsorption-release properties. The adsorption process of phoxim onto slow-release materials accorded with Freundlich model. The maximum adsorption capacity reached 217.86 mg g-1 at 25 oC. In addition, the release effect of phoxim from slow-release materials was obvious under acid or high temperature conditions. The limit release amount was 60.04 and 80.2% respectively. The slow-release time was up to 25 days which will reduce the phoxim residues efficiently. According to the fitting results of Ritger-Peppas model, the release process was controlled by Fick diffusion mechanism.
{"title":"Preparation of Diatomite Based Porous Slow-Release Materials and its Adsorption-Release Properties on Phoxim","authors":"Y. Liu, Y. Zhang, X. Sheng, N. Li, Q. Ping, M. Niu, P. Lu, J. Zhang","doi":"10.3808/jei.202100468","DOIUrl":"https://doi.org/10.3808/jei.202100468","url":null,"abstract":"Slow-release materials have the property of controlling the slow-release of drugs. At present, polymer slow-release materials have been widely studied, but the stability is poor and the release effect of components is difficult to control. The diatomite mineral is light in weight, small in volume and stable in physical and chemical properties. A series of diatomite based porous slow-release materials were prepared to explore the adsorption-release performance. The prepared slow-release materials have excellent porous structure and adsorption-release properties. The adsorption process of phoxim onto slow-release materials accorded with Freundlich model. The maximum adsorption capacity reached 217.86 mg g-1 at 25 oC. In addition, the release effect of phoxim from slow-release materials was obvious under acid or high temperature conditions. The limit release amount was 60.04 and 80.2% respectively. The slow-release time was up to 25 days which will reduce the phoxim residues efficiently. According to the fitting results of Ritger-Peppas model, the release process was controlled by Fick diffusion mechanism.","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"26 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86688456","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Y. Pan, X. Zeng, X. Gao, H. X. Xu, Y. Y. Sun, D. Wang, J. Wu
The human health risk (HHR) assessment to dense non-aqueous phase liquids (DNAPLs) exposure has become an important part of groundwater environment management. Usually, DNAPL transport models are applied to simulate the concentration distribution of contaminant for HHR assessment. The present paper studied the influences of model uncertainties on the HHR assessment, and the metric of Incremental Lifetime Cancer Risk (ILCR) was used to quantify HHR. The impacts of permeability’s heterogeneity and the structure of DNAPL transport model (e.g., the constitutive model) on HHR assessment were evaluated based on a synthetical DNAPL transport model. The results demonstrate that, compared with the low heterogeneity, the high heterogeneity leads to lower average ILCR value at the control planes near the source zone, and higher average ILCR value at the control planes far away from the source zone. In addition, the HHR assessments would be inconsistent for the two constitutive models, i.e., Stone-Parker (S-P) and Coreyvan Genuchten (C-v) models. Compared with the HHR assessment depending on C-v model, the mean of ILCR’s probability distribution produced by S-P model is larger at the control planes near the source zone, and smaller at the control planes far away from the source zone. Moreover, based on a sandbox experiment, the impact of parameter uncertainty of DNAPL transport model on HHR assessment was evaluated by Markov chain Monte Carlo (MCMC) simulation. The results show that it is infeasible and risky to assess HHR by the specific parameters of contaminant transport model and ignoring parameter uncertainty. The HHR assessment by incorporating Bayesian uncertainty analysis could provide more flexible information. In addition, the sparse grid (SG) surrogate is an effective way to reduce computation burden caused by the larger number of model executions in the MCMC based HHR assessment.
{"title":"Assessing Human Health Risk to DNAPLs Exposure in Bayesian Uncertainty Analysis","authors":"Y. Pan, X. Zeng, X. Gao, H. X. Xu, Y. Y. Sun, D. Wang, J. Wu","doi":"10.3808/jei.202100460","DOIUrl":"https://doi.org/10.3808/jei.202100460","url":null,"abstract":"The human health risk (HHR) assessment to dense non-aqueous phase liquids (DNAPLs) exposure has become an important part of groundwater environment management. Usually, DNAPL transport models are applied to simulate the concentration distribution of contaminant for HHR assessment. The present paper studied the influences of model uncertainties on the HHR assessment, and the metric of Incremental Lifetime Cancer Risk (ILCR) was used to quantify HHR. The impacts of permeability’s heterogeneity and the structure of DNAPL transport model (e.g., the constitutive model) on HHR assessment were evaluated based on a synthetical DNAPL transport model. The results demonstrate that, compared with the low heterogeneity, the high heterogeneity leads to lower average ILCR value at the control planes near the source zone, and higher average ILCR value at the control planes far away from the source zone. In addition, the HHR assessments would be inconsistent for the two constitutive models, i.e., Stone-Parker (S-P) and Coreyvan Genuchten (C-v) models. Compared with the HHR assessment depending on C-v model, the mean of ILCR’s probability distribution produced by S-P model is larger at the control planes near the source zone, and smaller at the control planes far away from the source zone. Moreover, based on a sandbox experiment, the impact of parameter uncertainty of DNAPL transport model on HHR assessment was evaluated by Markov chain Monte Carlo (MCMC) simulation. The results show that it is infeasible and risky to assess HHR by the specific parameters of contaminant transport model and ignoring parameter uncertainty. The HHR assessment by incorporating Bayesian uncertainty analysis could provide more flexible information. In addition, the sparse grid (SG) surrogate is an effective way to reduce computation burden caused by the larger number of model executions in the MCMC based HHR assessment.","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"6 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2021-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81986672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The construction of a model based on an analytic system and dynamic structure is an important technique in lake manage-ment. The Yan-Model conducts system simulations based on the dynamics of the main aquatic species but does not include filter-feeding fish and N elements, which have important effects on eutrophication. Based on the Yan-Model, modules for the filter-feeding fish A. nobilis and the N cycle were constructed and combined to form a new model, the Yan-Model II. After model calibration and validation, a scenario analysis was performed to simulate eutrophication regulation and external pollution impacts. The results show the following: (1) the simulated and measured values of the lake ecosystem were highly consistent (R > 0.9, RSR < 0.7); (2) an eutrophic lake could be effectively restored by planting Vallisneria natans (Lour.) Hara with low biomass density; (3) assuming that urban sewage drained into the lake, equal or more than 600 m3 of urban sewage would lead to an increase in the Chl-a concentration to a level that exceeded the eutrophication threshold; and (4) an Aristichthys nobilis density of 50 g/m3 had a strong ability to control phytoplankton growth. Using the improved model, this study successfully guided the ecological restoration of Dongshan Lake. This model can be used for lake management and sustainable development in urban ecosystems.
{"title":"Regulation and management of lake eutrophication in urban regions based on an improved model for aquatic ecosystem simulations","authors":"Z. Yan, M. Jiao, Y. F. Wang, B. Xia","doi":"10.3808/jei.202100461","DOIUrl":"https://doi.org/10.3808/jei.202100461","url":null,"abstract":"The construction of a model based on an analytic system and dynamic structure is an important technique in lake manage-ment. The Yan-Model conducts system simulations based on the dynamics of the main aquatic species but does not include filter-feeding fish and N elements, which have important effects on eutrophication. Based on the Yan-Model, modules for the filter-feeding fish A. nobilis and the N cycle were constructed and combined to form a new model, the Yan-Model II. After model calibration and validation, a scenario analysis was performed to simulate eutrophication regulation and external pollution impacts. The results show the following: (1) the simulated and measured values of the lake ecosystem were highly consistent (R > 0.9, RSR < 0.7); (2) an eutrophic lake could be effectively restored by planting Vallisneria natans (Lour.) Hara with low biomass density; (3) assuming that urban sewage drained into the lake, equal or more than 600 m3 of urban sewage would lead to an increase in the Chl-a concentration to a level that exceeded the eutrophication threshold; and (4) an Aristichthys nobilis density of 50 g/m3 had a strong ability to control phytoplankton growth. Using the improved model, this study successfully guided the ecological restoration of Dongshan Lake. This model can be used for lake management and sustainable development in urban ecosystems.","PeriodicalId":54840,"journal":{"name":"Journal of Environmental Informatics","volume":"27 1","pages":""},"PeriodicalIF":7.0,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80551722","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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