基于塞罕坝生态模型的生态保护区评价与选址方法

Shuyang Wang, Huiying Liu, Yuhuai Chen, Zengyang Li
{"title":"基于塞罕坝生态模型的生态保护区评价与选址方法","authors":"Shuyang Wang, Huiying Liu, Yuhuai Chen, Zengyang Li","doi":"10.1109/icaci55529.2022.9837756","DOIUrl":null,"url":null,"abstract":"The Saihanba ecological model has achieved brilliant success in environmental protection. Given that desertification and environmental pollution are serious problems in many areas, it is valuable to copy the success of the Saihanba Forest to other areas in need of China. In this paper, we first proposes an ecological protected area (EPA) evaluation method focusing on (1) the impact of the EPA on the environment before and after the establishment of the EPA, and (2) the environmental influence of the EPA on surrounding areas. Specifically, the principal component analysis method is used to evaluate the environmental impact of Saihanba before and after its restoration. Taking the impact of Saihanba on sandstorms in North China as an example, the multiple linear regression method is used to establish the impact model in the surrounding areas. According to the impact model, the construction of Saihanba reduces about 9.8 days of sand-dust weather in North China every year. In addition, this paper also proposes an EPA site selection method. To be specific, this paper explores how to promote the Saihanba ecological model to establish EPA in China. Through cluster analysis, Ordos and Alxa League in Inner Mongolia as well as Yulin in Shaanxi are selected as the sites to establish ecological reserves. To balance ecological, economic, and industrial land and to ensure that target areas have enough land, the area (size) of the EPA is estimated according to the Markov model. Besides, the impact on China’s carbon neutrality goals is assessed and the contribution rates of Ordos, Alxa, and Yulin to the reduction of national carbon emissions are 2.8%0,1.1%0, and 1.7%0,, respectively.","PeriodicalId":412347,"journal":{"name":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ecological Protected Area Evaluation and Site Selection Methods Based on the Saihanba Ecological Model\",\"authors\":\"Shuyang Wang, Huiying Liu, Yuhuai Chen, Zengyang Li\",\"doi\":\"10.1109/icaci55529.2022.9837756\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Saihanba ecological model has achieved brilliant success in environmental protection. Given that desertification and environmental pollution are serious problems in many areas, it is valuable to copy the success of the Saihanba Forest to other areas in need of China. In this paper, we first proposes an ecological protected area (EPA) evaluation method focusing on (1) the impact of the EPA on the environment before and after the establishment of the EPA, and (2) the environmental influence of the EPA on surrounding areas. Specifically, the principal component analysis method is used to evaluate the environmental impact of Saihanba before and after its restoration. Taking the impact of Saihanba on sandstorms in North China as an example, the multiple linear regression method is used to establish the impact model in the surrounding areas. According to the impact model, the construction of Saihanba reduces about 9.8 days of sand-dust weather in North China every year. In addition, this paper also proposes an EPA site selection method. To be specific, this paper explores how to promote the Saihanba ecological model to establish EPA in China. Through cluster analysis, Ordos and Alxa League in Inner Mongolia as well as Yulin in Shaanxi are selected as the sites to establish ecological reserves. To balance ecological, economic, and industrial land and to ensure that target areas have enough land, the area (size) of the EPA is estimated according to the Markov model. Besides, the impact on China’s carbon neutrality goals is assessed and the contribution rates of Ordos, Alxa, and Yulin to the reduction of national carbon emissions are 2.8%0,1.1%0, and 1.7%0,, respectively.\",\"PeriodicalId\":412347,\"journal\":{\"name\":\"2022 14th International Conference on Advanced Computational Intelligence (ICACI)\",\"volume\":\"81 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 14th International Conference on Advanced Computational Intelligence (ICACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/icaci55529.2022.9837756\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 14th International Conference on Advanced Computational Intelligence (ICACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/icaci55529.2022.9837756","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

塞罕坝生态模式在环境保护方面取得了辉煌成就。鉴于许多地区存在严重的荒漠化和环境污染问题,将塞罕坝森林的成功经验复制到中国其他需要的地区是有价值的。本文首先提出了一种生态保护区评价方法,主要关注(1)生态保护区建立前后对环境的影响,(2)生态保护区对周边地区的环境影响。具体而言,采用主成分分析法对塞罕坝修复前后的环境影响进行了评价。以塞罕坝对华北地区沙尘暴的影响为例,采用多元线性回归方法建立了塞罕坝对周边地区的影响模型。根据影响模型,塞罕坝的建设每年减少华北地区约9.8天的沙尘天气。此外,本文还提出了一种EPA选址方法。具体而言,本文探讨了如何在中国推广塞罕坝生态模式,建立环境保护体系。通过聚类分析,选择内蒙古鄂尔多斯、阿拉善盟和陕西榆林作为生态保护区的选址。为了平衡生态、经济和工业用地,并确保目标地区有足够的土地,根据马尔可夫模型估计EPA的面积(大小)。此外,对中国碳中和目标的影响进行了评估,鄂尔多斯、阿拉善和榆林对全国碳排放减少的贡献率分别为2.8%、1.1%和1.7%。
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
Ecological Protected Area Evaluation and Site Selection Methods Based on the Saihanba Ecological Model
The Saihanba ecological model has achieved brilliant success in environmental protection. Given that desertification and environmental pollution are serious problems in many areas, it is valuable to copy the success of the Saihanba Forest to other areas in need of China. In this paper, we first proposes an ecological protected area (EPA) evaluation method focusing on (1) the impact of the EPA on the environment before and after the establishment of the EPA, and (2) the environmental influence of the EPA on surrounding areas. Specifically, the principal component analysis method is used to evaluate the environmental impact of Saihanba before and after its restoration. Taking the impact of Saihanba on sandstorms in North China as an example, the multiple linear regression method is used to establish the impact model in the surrounding areas. According to the impact model, the construction of Saihanba reduces about 9.8 days of sand-dust weather in North China every year. In addition, this paper also proposes an EPA site selection method. To be specific, this paper explores how to promote the Saihanba ecological model to establish EPA in China. Through cluster analysis, Ordos and Alxa League in Inner Mongolia as well as Yulin in Shaanxi are selected as the sites to establish ecological reserves. To balance ecological, economic, and industrial land and to ensure that target areas have enough land, the area (size) of the EPA is estimated according to the Markov model. Besides, the impact on China’s carbon neutrality goals is assessed and the contribution rates of Ordos, Alxa, and Yulin to the reduction of national carbon emissions are 2.8%0,1.1%0, and 1.7%0,, respectively.
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
自引率
0.00%
发文量
0
期刊最新文献
Speed Estimation of Video Target Based on Siamese Convolutional Network and Kalman Filtering Aspect Term Extraction and Categorization for Chinese MOOC Reviews A Global Harmony Search Algorithm Based on Tent Chaos Map and Elite Reverse Learning An Improved Superpixel-based Fuzzy C-Means Method for Complex Picture Segmentation Tasks New Results on Finite-Time Synchronization of Delayed Fuzzy Neural Networks
×
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