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How technology boosts Beijing's air pollution governance_我的网站

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    This photo taken on July 10, 2026 shows a data-driven environmental governance system, known as the innovative regulation-monitoring-inspection linkage model, showcased at the Beijing Municipal Ecological and Environmental Monitoring Center in Beijing, capital of China. (Xinhua/Sun Suying)Beijing's blue skies have become a visible sign of the city's progress in tackling air pollution, and behind that progress, digital technologies are playing an increasingly important role.
In 2025, Beijing recorded 311 days with good air quality and only one heavily polluted day, compared with 58 heavily polluted days in 2013, when the city officially began releasing PM2.5 monitoring data. The annual average PM2.5 concentration, a key indicator of air quality, fell from 89.5 micrograms per cubic meter in 2013 to 27 micrograms per cubic meter in 2025, a decline of nearly 70 percent.
The progress has drawn international attention. The United Nations Environment Programme has highlighted Beijing's experience in improving air quality as a model for other cities.
According to experts at the Beijing Municipal Ecological and Environmental Monitoring Center, the cleaner air is the result of a comprehensive system integrating environmental monitoring, scientific analysis, policymaking, regional cooperation and law enforcement -- with digital technologies now woven into every link of that chain.
MORE TARGETED APPROACH
Effective governance begins with accurate monitoring. Beijing has established a multi-level air-quality monitoring network. Figures show 35 standard monitoring stations across the city continuously measure six major pollutants, while more than 1,000 compact sensors deployed across communities and townships provide more detailed information on local air-quality variations.
The monitoring system was gradually built by the Beijing Municipal Ecological and Environmental Monitoring Center, one of China's earliest ecological and environmental monitoring institutions, responsible for monitoring Beijing's air, water, noise, soil environments and ecosystems.
The center has developed an analytical system that can identify around 125 components of PM2.5, covering most of its composition and helping researchers trace pollution sources.
"Source analysis helps us identify the major contributors to pollution at different stages, providing a scientific basis for policymakers to target key emission sources," said Li Yunting, technical director at the center.
Coordinated by the Beijing Municipal Ecology and Environment Bureau, the center has conducted four rounds of PM2.5 source analysis studies with other institutions, with results released in 2014, 2018, 2021 and 2025.
The latest analysis showed that regional transport contributed 57 percent of Beijing's PM2.5 pollution. Among local sources that accounted for the remaining 43 percent, vehicle emissions and residential sources represented the largest share of pollution, a distinctive characteristic of a major international metropolis.
The monitoring results have provided scientific support for a series of pollution-control measures. For example, Beijing has promoted new-energy vehicles to reduce transport emissions and adopted advanced techniques, including air-supported membrane structures, to control dust emissions. Meanwhile, coal combustion pollution, once a major contributor, has almost been eliminated and is no longer listed among the main sources, reflecting broader national efforts to reduce coal consumption, promote clean energy and upgrade heavily polluting industries.
With PM2.5 concentrations now at relatively low levels, further gains in air quality will depend on more targeted, science-driven approaches.
    This photo taken on July 10, 2026 at the Beijing Municipal Ecological and Environmental Monitoring Center in Beijing, capital of China, shows the changes in the annual average concentration and spatial distribution of PM2.5 in Beijing from 2013 to 2025. (Xinhua/Sun Suying)
SMARTER ENVIRONMENTAL GOVERNANCE
Beyond monitoring pollution, Beijing has built a data-driven environmental governance system that links monitoring, regulation and enforcement in a closed loop from detection to action and follow-up evaluation.
Developed by the center and known as the innovative regulation-monitoring-inspection linkage model, the system integrates artificial intelligence, the Internet of Things, satellite remote sensing and vehicle-mounted monitoring technologies to pull together environmental data from multiple sources onto a unified platform.
"The system brings information that was once scattered across different departments onto a single platform," said Zhang Likun, director of the smart system division at the center, adding that this enables off-site enforcement and joint cross-sector actions involving housing, water resources and transportation, significantly improving the efficiency and precision of environmental management.
Using more than 30 intelligent algorithms, the platform automatically analyzes data and identifies potential pollution risks, based on which monitoring staff identify the most pressing problems and forward them to enforcement departments.
The approach has already drawn international attention. Clean Air Asia, an international nongovernmental organization focused on improving air quality across Asia, featured the system as a representative case study in its "China Air 2025" report. The model was also presented at the 2026 Better Air Quality Conference and recognized with the Certificate for Clean Air Best Practice Sharing.
China has integrated ecological conservation into its modernization drive. As the country speeds up efforts under the Beautiful China Initiative, Beijing's experience demonstrates how technology can support more precise, coordinated and sustainable environmental governance.
。    　　作为AI交易的重要风向标，英伟达财报已成为全球投资者关注的关键事件。但随着市场预期不断升高，投资者对英伟达再次凭借超预期业绩推动股价大涨的期待似乎正在降温。　　美东时间周三（8月26日）美股盘后，AI芯片巨头英伟达将公布2027财年第二季度财报。

二 | 　　媒体近日援引英伟达期权市场最新数据表示，财报公布后的次日（当地时间本周四），英伟达股价预计可能出现约5.4%的双向波动，即上涨或下跌幅度均可能达到5.4%左右。　　该波动预期源于期权价格所反映的隐含波动率，代表市场通过期权交易形成的财报后股价波动预期，但并不判断股价上涨或下跌方向。　　据期权数据分析机构Option Research&Technology Services（ORATS）数据，5.4%的预期波动幅度对应英伟达约2800亿美元的市值变化空间，这一规模超过标普500指数中约90%成分股的各自市值。　　值得注意的是，该波动幅度低于其5月财报公布前期权定价反映的6.5%波动预期，同时也显著低于英伟达过去12个季度7.4%的历史平均股价波动幅度。

三 | 　　ORATS创始人Matt Amberson表示：“这表明市场对英伟达财报后股价大幅波动的担忧有所下降，也意味着该股走势正变得更可预测。”　　衍生品策略机构Susquehanna衍生品策略联合主管Chris Murphy指出，本次期权市场反映出的波动预期相对温和，印证了过去两年的一个常见现象——财报公布后，股价实际波动幅度往往低于期权市场此前定价所反映的预期水平。　　Murphy表示：　　“人工智能时代初期，英伟达财报大幅超出预期，股价动辄走出10%、15%、20%的行情，屡屡震惊市场，这个阶段基本已经过去。市场并不认为英伟达会再度爆出超大规模业绩利好，带动股价大幅拉升。”　　英伟达股价当地时间本周一收跌2.91%，报208.48美元，录得连续第七个交易日下跌。　　尽管近期遭遇回调，英伟达今年以来仍累计上涨11.7%，过去12个月累计涨幅达15.94%。

四 | 对比同期大盘表现，年内标普500指数累计上涨11.8%，费城半导体指数累计上涨61%。注：图为英伟达过去一年股价走势　　大盘承压　　英伟达股价回调正值美股大盘承压。　　近日，美国政府债务规模攀升引发普遍担忧，美债收益率持续走高，30年期美债收益率上周创下19年新高。　　当地时间周一，有报道称美国财政部长贝森特或将动用规模近1万亿美元的财政部一般账户资金，为债券回购提供资金。受此消息影响，30年期美债收益率周一小幅回落，但仍维持在5%上方。　　业内指出，美债收益率飙升对美国成长股与科技股形成冲击，华尔街主要股指走低。　　上周，纳斯达克综合指数下跌2.05%，标普500指数和道琼斯工业平均指数分别下跌1.43%、0.85%；科技板块表现更弱，标普500信息技术板块当周下跌3.51%，费城半导体指数当地时间8月18日单日下跌4.98%。　　在此背景下，投资者将重点关注英伟达的营收指引、芯片需求、利润率水平，以及各大云服务商是否会继续扩大AI相关资本开支。（文章来源：财联社）。

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