基于改进水生态系统模拟模型的城市湖泊富营养化调控与管理

IF 6 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Journal of Environmental Informatics Pub Date : 2021-07-08 DOI:10.3808/jei.202100461
Z. Yan, M. Jiao, Y. F. Wang, B. Xia
{"title":"基于改进水生态系统模拟模型的城市湖泊富营养化调控与管理","authors":"Z. Yan, M. Jiao, Y. F. Wang, B. Xia","doi":"10.3808/jei.202100461","DOIUrl":null,"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":null,"pages":null},"PeriodicalIF":6.0000,"publicationDate":"2021-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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\":null,\"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\":null,\"pages\":null},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2021-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Environmental Informatics\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.3808/jei.202100461\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Informatics","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.3808/jei.202100461","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

基于分析系统和动态结构的模型构建是湖泊管理的一项重要技术。yan模型基于主要水生物种的动态进行系统模拟,但不包括对富营养化有重要影响的滤食性鱼类和N元素。在yan模型的基础上,构建了滤食性nobilis鱼和N循环的模型,并将其组合为yan -模型II。在模型校正和验证后,进行情景分析,模拟富营养化调控和外部污染影响。结果表明:(1)湖泊生态系统模拟值与实测值高度一致(R > 0.9, RSR < 0.7);(2)种植水草可有效恢复富营养化湖泊。原草生物量密度低;(3)假设城市污水排入湖泊,等于或大于600 m3的城市污水将导致Chl-a浓度增加到超过富营养化阈值的水平;(4)鳙鱼密度为50 g/m3时,对浮游植物的抑制能力较强。利用改进后的模型,成功地指导了东山湖的生态恢复。该模型可用于湖泊管理和城市生态系统的可持续发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Regulation and management of lake eutrophication in urban regions based on an improved model for aquatic ecosystem simulations
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Environmental Informatics
Journal of Environmental Informatics ENVIRONMENTAL SCIENCES-
CiteScore
12.40
自引率
2.90%
发文量
7
审稿时长
24 months
期刊介绍: Journal of Environmental Informatics (JEI) is an international, peer-reviewed, and interdisciplinary publication designed to foster research innovation and discovery on basic science and information technology for addressing various environmental problems. The journal aims to motivate and enhance the integration of science and technology to help develop sustainable solutions that are consensus-oriented, risk-informed, scientifically-based and cost-effective. JEI serves researchers, educators and practitioners who are interested in theoretical and/or applied aspects of environmental science, regardless of disciplinary boundaries. The topics addressed by the journal include: - Planning of energy, environmental and ecological management systems - Simulation, optimization and Environmental decision support - Environmental geomatics - GIS, RS and other spatial information technologies - Informatics for environmental chemistry and biochemistry - Environmental applications of functional materials - Environmental phenomena at atomic, molecular and macromolecular scales - Modeling of chemical, biological and environmental processes - Modeling of biotechnological systems for enhanced pollution mitigation - Computer graphics and visualization for environmental decision support - Artificial intelligence and expert systems for environmental applications - Environmental statistics and risk analysis - Climate modeling, downscaling, impact assessment, and adaptation planning - Other areas of environmental systems science and information technology.
期刊最新文献
Modelling Soil δ13C across the Tibetan Plateau Using Deep-Learning Impact of Carbon Emissions and Advance Payment on Optimal Decisions for Perishable Products via Parametric Approach of Interval Prediction of the Breeding and Wintering Ranges of Pomacea canaliculata in China Using Ensemble Models Decentralized Algae Removal Technologies for Lake Diefenbaker Irrigation Canals: A Review Real-Time LNG Buses Emissions Prediction Based on a Temporal Fusion Trans-Formers Model
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1