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作 者:范可欣 高健[1] 陕亮 陈嘉翊 马彤 高锐 陈建华[1] 刘翰青 FAN Kexin;GAO Jian;SHAN Liang;CHEN Jiayi;MA Tong;GAO Rui;CHEN Jianhua;LIU Hanqing(State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences;State Grid Commercial Big Data Co.,Ltd.)
机构地区:[1]环境基准与风险评估国家重点实验室,中国环境科学研究院 [2]国网商用大数据有限公司
出 处:《环境工程技术学报》2025年第1期193-202,共10页Journal of Environmental Engineering Technology
基 金:国家重点研发计划项目(2022YFC3703400)。
摘 要:为有效应对生态环境挑战并实现“双碳”目标,我国实施了一系列的生态环境保护策略,为重点行业制定了更为严格的治理标准,对工业源的监管提出了新要求。回顾了我国工业源大气污染排放现状及其对环境空气质量的影响,综合评价了当前采用的固定源污染排放检测手段以及相应的排放监管方法。结果表明,在加强工业源管控的背景下,污染状况已得到明显改善。未来通过多源数据融合,有望进一步提升工业源污染监测的准确性和时效性,从而实现对工业源排放更为精准和实时的监管。随着信息技术的发展,物联网、大数据在工业源监管领域的应用越来越广泛,在一定程度上弥补了目前工业源监管精准性和时空分辨率上的不足。企业用电数据覆盖面广、实时性强、数据质量高,可设计开发用电监管指标,作为工业污染源排放的辅助监管手段推广应用。In order to effectively address eco-environmental challenges and achieve the"dual carbon"goals,China has implemented a series of environmental protection strategies.These strategies set stricter governance standards for key industries and propose new requirements for supervising industrial sources.The authors reviewed the current status of industrial air pollutant emissions in China and their impacts on ambient air quality.Additionally,they comprehensively evaluated the emission detection methods for current stationary source emissions and the corresponding supervision methods.The results indicated that the pollution situation had improved under the control of industrial sources.In the future,it was expected that the accuracy and timeliness of industrial source emissions monitoring would be further enhanced through the integration of multi-source data,thereby achieving more accurate and real-time supervision of industrial source emissions.With the development of information technology,the application of the Internet of Things and big data in industrial sources supervision is becoming increasingly widespread,which could compensate for the shortcomings in the precision and spatiotemporal resolution of current industrial sources supervision.Industrial electricity consumption data,which has broad coverage,strong real-time capabilities,and high data quality,could be used to design and develop electricity monitoring indicators.These indicators could serve as an auxiliary means for supervising industrial source emissions.
分 类 号:X51[环境科学与工程—环境工程]
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