Development of Ecological Environment Monitoring Network System in China

Qiao Wang; Shaomin Liu; Guoqiang Wang; Yinglan A; Baolin Xue; Ziwei Xu; Jin Wu

doi:10.15302/J-SSCAE-2024.05.015

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Strategic Study of CAE ›› 2024, Vol. 26 ›› Issue (5) : 212-222. DOI: 10.15302/J-SSCAE-2024.05.015

Development of Ecological Environment Monitoring Network System in China

Qiao Wang¹^,² ,
Shaomin Liu¹^,² ,
Guoqiang Wang¹^,² ,
Yinglan A¹^,² ,
Baolin Xue¹^,² ,
Ziwei Xu¹^,² ,
Jin Wu¹^,²

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Abstract

Ecological environment monitoring is an essential foundation for ecological and environmental protection and will play a key role in building a grand ecological and environmental protection and governance framework. Although China has built a large-scale, comprehensive, and well-structured ecological environment monitoring network, it is insufficient to meet the major national demands of the new era, such as reducing pollution and carbon emissions, ecological protection and restoration, and addressing climate change. This study elaborates on the development demand of China for an ecological environment monitoring network system, outlining the current status of the system in terms of monitoring network, monitoring technologies and equipment, monitoring indicators, and monitoring applications. It further identifies existing problems, including the lack of an integrated ecological environment monitoring network, shortage of independent and advanced monitoring equipment, delayed development of indicators and insufficient data processing and sharing, as well as lack of an integrated coordination and support mechanism. The study argues for several key tasks to address these problems, including integrating the ecological environment monitoring network, advancing the independent development of monitoring technologies and equipment, unifying the monitoring indicator system, and integrating the applications of the ecological environment monitoring network. The study also proposes the following recommendations: (1) building an ecological environment monitoring system that integrates air, space, land, and sea, (2) promoting the independent research and development of monitoring equipment and its application, (3) establishing a new system for ecological environment monitoring standards, technologies, and services, (4) ensuring the healthy development of the integrated monitoring network system, and (5) launching major scientific projects and prioritizing monitoring applications in typical regions. This study is expected to serve as a reference for the research, construction, and application of the integrated ecological environment monitoring network system in China.

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Keywords

ecological environment monitoring / integration of air, space, land, and sea / monitoring network / monitoring technology and equipment / monitoring indicators

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Qiao Wang, Shaomin Liu, Guoqiang Wang, Yinglan A, Baolin Xue, Ziwei Xu, Jin Wu. Development of Ecological Environment Monitoring Network System in China. Strategic Study of CAE, 2024, 26(5): 212‒222 https://doi.org/10.15302/J-SSCAE-2024.05.015

References

Publishing order | Descend order by publishing year | Descend order by cited within

[1]	彭令, 殷志强, 金爱芳, 等. 国内外自然资源监测与观测网络建设现状及经验启示 [J]. 地质通报, 2023, 42(12): 2156‒2164. Peng L, Yin Z Q, Jin A F, et al. Status and enlightenment of natural resources monitoring and observation network construction in China and aboard [J]. Geological Bulletin of China, 2023, 42(12): 2156‒2164.

[2]	王桥. 中国环境遥感监测技术进展及若干前沿问题 [J]. 遥感学报, 2021, 25(1): 25‒36. Wang Q. Progress of environmental remote sensing monitoring technology in China and some related frontier issues [J]. National Remote Sensing Bulletin, 2021, 25(1): 25‒36.

[3]

张丽娟, 杨艺, 张建辉, 等. “五基”协同大气环境立体遥感监测系统应用研究 [J]. 大气与环境光学学报, 2023, 18(3): 214‒226.

Zhang L J, Yang Y, Zhang J H, et al. Research on the application of stereoscopic remote sensing monitoring system based on multilevel platform collaboration for atmospheric environment [J]. Journal of Atmospheric and Environmental Optics, 2023, 18(3): 214‒226.

[4]

张毅. 覆盖“天空地海”的自然资源智能感知监测监管体系建设的构想——以江苏省为例 [J]. 国土资源信息化, 2021 (6): 7‒14.

Zhang Y. Thoughts on the construction of intelligent sensing monitoring and supervision system of natural resources covering "sky, air, land and sea"—A case study of Jiangsu Province [J]. Land and Resources Informatization, 2021 (6): 7‒14.

[5]	沈运华, 张秀荣, 刘晓煌, 等. 天空地一体化自然资源要素监测体系及其应用 [J]. 资源科学, 2022, 44(8): 1696‒1706. Shen Y H, Zhang X R, Liu X H, et al. An integrated space‒aerial‒ground monitoring system and applications for natural resources elements [J]. Resources Science, 2022, 44(8): 1696‒1706.

[6]	唐国强, 龙笛, 万玮, 等. 全球水遥感技术及其应用研究的综述与展望 [J]. 中国科学: 技术科学, 2015, 45(10): 1013‒1023. Tang G Q, Long D, Wan W, et al. An overview and outlook of global water remote sensing technology and applications [J]. Scientia Sinica Technologica, 2015, 45(10): 1013‒1023.

[7]

中共中央、国务院关于全面推进美丽中国建设的意见 [EB/OL]. (2023-12-27)[2024-09-05]. https://www.gov.cn/gongbao/2024/issue_11126/202401/content_6928805.html.

Opinions of the CPC Central Committee and State Council on comprehensively promoting the construction of a beautiful China [EB/OL]. (2023-12-27)[2024-09-05]. https://www.gov.cn/gongbao/2024/issue_11126/202401/content_6928805.html.

[8]	崔洋, 王鹏祥, 常倬林, 等. ECN、US-LTER和CNERN网络发展现状、比较与思考 [J]. 干旱区资源与环境, 2019, 33(2): 96‒102. Cui Y, Wang P X, Chang Z L, et al. ECN, US-LTER and CNERN network development progress, comparison and suggestions [J]. Journal of Arid Land Resources and Environment, 2019, 33(2): 96‒102.

[9]	Liu S M, Li X, Xu Z W, et al. The Heihe integrated observatory network: A basin-scale land surface processes observatory in China [J]. Vadose Zone Journal, 2018, 17(1): 1‒21.

[10]	李新, 刘绍民, 柳钦火, 等. 黑河生态水文遥感试验 [M]. 北京: 科学出版社, 2022. Li X, Liu S M, Liu Q H, et al. Heihe ecohydrological remote sensing experiment [M]. Beijing: Science Press, 2022.

[11]	于贵瑞, 何洪林, 周玉科. 大数据背景下的生态系统观测与研究 [J]. 中国科学院院刊, 2018, 33(8): 832‒837. Yu G R, He H L, Zhou Y K. Ecosystem observation and research under background of big data [J]. Bulletin of Chinese Academy of Sciences, 2018, 33(8): 832‒837.

[12]	杨萍. 中国科学院野外观测研究网络未来发展的思考 [J]. 中国科学院院刊, 2021, 36(1): 104‒112. Yang P. Thoughts on future development of field observation and research network of Chinese Academy of Sciences [J]. Bulletin of Chinese Academy of Sciences, 2021, 36(1): 104‒112.

[13]	李颖虹, 王凡, 王东晓. 中国科学院近海海洋观测研究网络建设概况与展望 [J]. 中国科学院院刊, 2008, 23(3): 274‒279. Li Y H, Wang F, Wang D X. General situation and prospect of offshore ocean observation and research network construction of China Academy of Sciences [J]. Bulletin of Chinese Academy of Sciences, 2008, 23(3): 274‒279.

[14]	张朝忙, 叶远智, 邓轶, 等. 我国自然资源监测技术装备发展综述 [J]. 国土资源遥感, 2020, 32(3): 8‒14. Zhang C M, Ye Y Z, Deng Y, et al. Review on the development of natural resources monitoring technology and equipment in China [J]. Remote Sensing for Land & Resources, 2020, 32(3): 8‒14.

[15]	王军成, 孙继昌, 刘岩, 等. 我国海洋监测仪器装备发展分析及展望 [J]. 中国工程科学, 2023, 25(3): 42‒52. Wang J C, Sun J C, Liu Y, et al. Research progress and prospect of marine monitoring instruments and equipment in China [J]. Strategic Study of CAE, 2023, 25(3): 42‒52.

[16]	王运涛, 王国强, 王桥, 等. 我国生态环境大数据发展现状与展望 [J]. 中国工程科学, 2022, 24(5): 56‒62. Wang Y T, Wang G Q, Wang Q, et al. Development status and prospects of ecological environment big data in China [J]. Strategic Study of CAE, 2022, 24(5): 56‒62.

[17]	程春明, 李蔚, 宋旭. 生态环境大数据建设的思考 [J]. 中国环境管理, 2015, 7(6): 9‒13. Cheng C M, Li W, Song X. Thinking on the big data construction for ecological environment [J]. Chinese Journal of Environmental Management, 2015, 7(6): 9‒13.

[18]	张皓, 赵岑, 陈传忠, 等. 发达国家和地区生态环境监测发展经历对中国的启示 [J]. 中国环境监测, 2021, 37(1): 34‒39. Zhang H, Zhao C, Chen C Z, et al. Insights of development experience of ecological and environmental monitoring in developed countries and regions to China [J]. Environmental Monitoring in China, 2021, 37(1): 34‒39.

[19]	Fan Y Q, Long S J, Zhang R B, et al. Effect evaluation of eco-environmental big data resource integration and data sharing construction [J]. Wireless Communications and Mobile Computing, 2022: 5496629.

[20]

王琦华, 陈城, 洪岚, 等. 数字赋能大气环境智能化“监、采、控”一体化系统设计与实现 [J]. 电子器件, 2023, 46(5): 1236‒1241.

Wang Q H, Chen C, Hong L, et al. Design and implementation of digital enabling atmosphere environment intelligent "monitoring, mining, control" integration system [J]. Chinese Journal of Electron Devices, 2023, 46(5): 1236‒1241.

[21]	司林波, 张盼. 黄河流域生态环境治理如何跨越“数据鸿沟”——基于整体性治理理论的分析框架 [J]. 学习论坛, 2022, 38(6): 60‒68. Si L B, Zhang P. How to cross the "data gap" in ecosystem governance of the Yellow River Basin: An analytical framework based on holistic governance theory [J]. Tribune of Study, 2022, 38(6): 60‒68.

[22]	郎鹏, 赵楠, 董颜, 等. 京津冀区域生态治理网络构建研究 [J]. 环渤海经济瞭望, 2019 (9): 87. Lang P, Zhao N, Dong Y, et al. Study on the construction of Beijing‒Tianjin‒Hebei regional ecological governance network [J]. Economic Outlook the Bohai Sea, 2019 (9): 87.

感谢项目组刘文清院士、赵春江院士、陈军院士、王业耀研究员等专家学者的大力支持。

Funding

Funding project: Chinese Academy of Engineering project "Strategic Research on the Integrated Ecological Environment Monitoring Network System of 'Sky, Air, Land and Sea' from Mountain Top to Ocean"(2023-XBZD-18)