| 高空间分辨率环境数据库及其应用 |
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| 引用本文： | 常玮岑,李雨萌,钟秋萌,梁赛.高空间分辨率环境数据库及其应用[J].环境工程,2022,40(6):1-11. |
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| 作者姓名： | 常玮岑 李雨萌 钟秋萌 梁赛 |
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| 作者单位： | 1. 广东工业大学 生态环境与资源学院 大湾区城市环境安全与绿色发展教育部重点实验室, 广州 510006; |
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| 基金项目： | 广东省引进创新创业团队项目(2019ZT08L213) |
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| 摘 要： | 高空间分辨率环境数据库的构建和应用对于解决日益突出的环境问题至关重要。高空间分辨率数据能够在精细尺度上体现研究对象的具体分布和特点,识别环境污染重点地区,有助于制定因地制宜的环境管控政策。国内外学者已构建大量的高分辨率环境数据库并将其应用于解决多种环境问题。然而,目前尚未有学者对高空间分辨率环境数据库的类型和应用进行系统性阐述。因此,从尺度和物质类型2个方面总结了常见的高空间分辨率环境数据库,并对这些数据集在排放源分析、环境影响评估和经济影响因素分析3个方面的应用进行疏理,并对未来研究提出了进一步提高分辨率、提高数据质量、拓宽应用研究范围的建议。
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| 关 键 词： | 高空间分辨率 数据集 排放清单 环境影响评估 |
| 收稿时间： | 2021-12-21 |
HIGH SPATIAL RESOLUTION ENVIRONMENTAL DATASET AND ITS APPLICATION |
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| Affiliation: | 1. Key Laboratory for City Cluster Environmental Safety and Green Development of the Ministry of Education, School of Ecology, Environment and Resources, Guangdong University of Technology, Guangzhou 510006, China;2. School of Environment, Beijing Normal University, Beijing 100875, China |
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| Abstract: | The construction and application of high-spatial-resolution environmental databases are critical to addressing increasingly prominent environmental issues.High-spatial-resolution data reflects the specific distribution and characteristics of research subjects at a fine scale,which can identify the hotspots of environmental pollution and help formulate environmental control policies tailored to the local conditions.Scholars at home and abroad have built a large number of high-spatial-resolution environmental databases and applied them to solve different environmental problems.Therefore,this paper systematically summarizes the common high-spatial-resolution environmental databases from the aspects of scale and substance type.Moreover,the application of high-spatial-resolution environmental databases has been summarized in three different aspects,including emission source analysis,environmental impact assessment,and economic influencing factors.This article proposes several recommendations to improve the existing high-spatial-resolution environmental databases,including further improving the resolution to ensure data accuracy,improving data quality and broadening the scope of research application. |
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