<tt id="6hsgl"><pre id="6hsgl"><pre id="6hsgl"></pre></pre></tt>
          <nav id="6hsgl"><th id="6hsgl"></th></nav>
          国产免费网站看v片元遮挡,一亚洲一区二区中文字幕,波多野结衣一区二区免费视频,天天色综网,久久综合给合久久狠狠狠,男人的天堂av一二三区,午夜福利看片在线观看,亚洲中文字幕在线无码一区二区
          Global EditionASIA 中文雙語Fran?ais
          World
          Home / World / Top News

          Digital cleanup

          Pakistan deploys artificial intelligence to combat air pollution

          Updated: 2025-12-03 10:45
          Share
          Share - WeChat

          Editor's note: In this weekly feature China Daily gives voice to Asia and its people. The stories presented come mainly from the Asia News Network (ANN), of which China Daily is among its 20 leading titles.

          People walk across a railway track amid smoggy conditions in Lahore, Pakistan, on Oct 25. AFP

          Lahore, once celebrated as the City of Gardens, now chokes each winter under a grey shroud of smog — its skies thick with toxic haze that has become the city's defining feature.

          Every November, as the monsoon fades, a suffocating layer of smoke and dust engulfs Lahore, India's capital New Delhi, and much of northern South Asia.

          The mix of crop burning, vehicle exhaust and industrial emissions drives air pollution to deadly levels, forcing authorities to shut schools, businesses and highways.

          This winter, as air quality plummets again, the Punjab government is betting on an unconventional ally to fight back: artificial intelligence.

          Authorities say they are deploying one of the region's most technologically advanced clean-air programs, with AI systems at the center of forecasting, enforcement and public response.

          Some 100 AI-powered air-quality monitoring stations have been established across Punjab, home to nearly 130 million people, according to Punjab Environment Minister Marriyum Aurangzeb.

          These smart stations continuously analyze pollution data using machine learning algorithms to predict air quality surges before they occur. The information feeds into a 24-hour "smog war room" — a real-time climate intelligence hub that integrates satellite feeds, ground sensors, and international databases.

          Aurangzeb said that across major industrial and urban centers, 8,500 cameras, drones and thermal sensors are linked to this AI dashboard, tracking emissions from factories and brick kilns. "Each emission source is geo-tagged, QR-coded, and algorithmically-assessed for compliance," she said.

          Smoke to smart

          Punjab has also created a specialized Environmental Protection Force digitally connected to the AI command center. When sensors detect an emission spike, the nearby force units receive automatic alerts and they are dispatched with drones and smart devices to verify violations and seal polluting sites.

          Another innovation is the deployment of AI-guided anti-smog guns across Lahore, programmed to activate automatically when particulate levels exceed safe limits.

          Early pilot tests showed a 70 percent improvement in air quality in Lahore's Kahna area within hours of operation, Aurangzeb said.

          Citizens are also part of the digital ecosystem. Through the Air Quality Index Punjab app, the Green Punjab app and the helpline 1373, residents can report pollution sources directly. The system categorizes complaints and assigns them automatically — with a reported 96 percent closure rate.

          1 2 Next   >>|
          Most Viewed in 24 Hours
          Top
          BACK TO THE TOP
          English
          Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
          License for publishing multimedia online 0108263

          Registration Number: 130349
          FOLLOW US
          主站蜘蛛池模板: 亚洲精品一区二区三区大| 国产成人午夜福利院| 中文字幕国产精品自拍| 亚洲午夜性猛春交XXXX| 综合偷自拍亚洲乱中文字幕| 亚洲av日韩av一区久久| 国产精品美女久久久久久麻豆| 日韩欧美卡一卡二卡新区| 久久国产乱子伦免费精品无码| 日韩精品人妻黄色一级片| 日韩精品亚洲精品第一页| 中文字幕精品人妻丝袜| 国产亚洲制服免视频| √在线天堂中文最新版网| 精品久久综合1区2区3区激情| 亚洲日本乱码熟妇色精品| 成人啪精品视频网站午夜| 久久不见久久见www日本| www成人国产高清内射| 久久人妻少妇嫩草av无码专区| 国产在线中文字幕精品| 亚洲欧美自偷自拍视频图片| 日韩人妻一区中文字幕| 狠狠色丁香久久婷婷综合蜜芽五月| 天天色天天综合网| 年日韩激情国产自偷亚洲| 国内精品自线在拍| 无码成人一区二区三区| 亚洲AV综合色区无码一区| 久久综合老鸭窝色综合久久| 少妇爽到爆视频网站免费| 99爱在线精品免费观看| 最新国产AV最新国产在钱| 天天综合网网欲色| 国产精品熟女乱色一区二区| 在线观看无码av五月花| 日韩有码中文在线观看| 野花社区www视频日本| 国产精品极品美女免费观看| 日韩精品国产精品十八禁| 国产精品一区中文字幕|