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人工智能背景下生态修复规划发展路径探析

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科学推进人工智能在生态修复规划过程中的应用,重点从遥感技术和卫星监测、大数据分析与决策支持、智能化植被恢复方案、自动化水质监测治理、生态修复智能监管、社会公众意识提升、风险评估应急响应、可持续发展策略制定等方面加以深入阐述,逐步提高生态修复效率和效果,促进经济发展、社会进步和环境保护的有机结合,合理推动生态修复规划向智能、高效、科学的方向发展.未来研究有望聚焦跨学科合作、公众参与、智能监管、风险评估、策略制定、经验分享等诸多方面,从而为推动生态修复在经济、社会和环境方面平衡、高效和可持续发展提供重要路径和有效参考.
Analyzing the Development Path of Ecological Restoration Planning based on Artificial Intelligence
Scientifically advancing the application of artificial intelligence in the planning process of ecological restoration,this analysis emphasizes in-depth exploration in several key areas including remote sensing technology and satellite monitoring,big data analysis and decision support,intelligent vegetation restoration schemes,automated water quality monitoring and management,intelligent supervision of ecological restoration,enhancing public awareness,risk assessment and emergency response,and the formulation of sustainable development strategies.By incrementally improving the efficiency and effectiveness of ecological restoration efforts,this approach fosters the organic integration of economic development,social progress,and environmental protection,and judiciously propels the planning of ecological restoration towards a direction that is intelligent,efficient,and scientifically grounded.Future research is expected to concentrate on interdisciplinary collaboration,public participation,intelligent supervision,risk assessment,strategy formulation,and the sharing of experiences,thereby providing crucial pathways and effective references for advancing balanced,efficient,and sustainable development in ecological restoration across economic,social,and environmental aspects.

Artificial IntelligenceEcological RestorationPlanningDevelopment Path

李国营、李瑞冬、李文彦

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甘肃省地质矿产勘查开发局第二地质矿产勘查院,甘肃 兰州 730000

甘肃工程地质研究院,甘肃 兰州 730000

甘肃省地质灾害监测预警技术创新中心,甘肃 兰州 730000

人工智能 生态修复 规划 发展路径

甘肃省2024年度联合科研基金项目

M0602

2024

世界有色金属
有色金属技术经济研究院

世界有色金属

影响因子:0.138
ISSN:1002-5065
年,卷(期):2024.(8)
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