男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語(yǔ)Fran?ais
China
Home / China / Environment

Nation sets up comprehensive green tracker

Monitoring network integrates advanced tech such as big data and AI

By HOU LIQIANG | China Daily | Updated: 2025-09-20 07:45
Share
Share - WeChat

China has established the world's largest ecological and environmental monitoring network supported by advanced technologies, and this will help strengthen the enforcement efficiency of environmental laws, the Ministry of Ecology and Environment said.

At a news conference organized by the State Council Information Office on Friday, Minister of Ecology and Environment Huang Runqiu disclosed that the number of monitoring stations that the ministry directly oversees across the country stands at over 33,000.

These facilities cover all prefecture-level cities and above, key river basins, and sea areas, monitoring a wide range of elements including water, air, soil, noise, oceans and ecosystems, he said.

The minister also noted significant strides in making the monitoring network more digital and intelligent by integrating advanced technologies such as big data, artificial intelligence, and cloud computing.

"As China advances its pollution control efforts and the Beautiful China initiative, demand has grown for more accurate, comprehensive, and timely monitoring data," he stated.

Against this backdrop, he said the ministry must urgently transition its primary methods of sampling, analysis, operation, and maintenance in environmental monitoring from manual approaches to automated, digital, and intelligent ones.

The country has managed to achieve full-process automation in environmental monitoring procedures such as sampling, sample delivery, and analytical testing, he said.

While monitoring surface water, for instance, the use of drones for automated sample collection reduces the time required by over 70 percent, he said, adding that such an application has unique advantages, particularly in remote areas.

In the analytical testing phase, some laboratories can perform automated, continuous analysis and testing without human intervention even in complete darkness, increasing efficiency by more than eightfold compared to manual operations, he added.

The country's air and water monitoring network is slated for a smart overhaul of its operational diagnostics and maintenance, Huang said.

After the upgrade, he said the maintenance frequency of such facilities will be reduced from once a week to once a month, cutting manual involvement by over 70 percent.

He revealed that the intelligent transformation has been underway in 143 air automatic monitoring stations in the Beijing-Tianjin-Hebei region.

Huang also went on to highlight the rapidly accelerating use of AI in environmental monitoring.

The ministry has established ecological environment spectrum databases and sound signature libraries in its efforts to leverage AI to accurately pinpoint the sources of environmental problems.

With the help of sound recognition AI technology, for example, noise sources can be rapidly identified — whether they originate from construction, transportation, or social activities, he said.

This enables more targeted and efficient supervision, allowing public noise pollution concerns to be addressed more effectively, he said.

Yu Huiwen, vice-minister of ecology and environment, said intelligent environmental monitoring means as well as facilities, including satellite remote sensing, infrared imaging, drones, and unmanned ships, have significantly reduced the workload of environmental law enforcement officers.

In the domain of air pollution control, for instance, the ministry has developed data models that can help identify 48 types of problems across seven major scenarios, including high-concentration pollutant zones and abnormal emissions from key sources, he said.

Leveraging leads provided by such technological means, Yu said the ministry has managed to unearth and promote the verification of 260,000 environmental violations regarding air pollution so far in the 14th Five-Year Plan (2021-25) period.

"The accuracy rate of those identified clues has increased from 40 percent at the very beginning to over 85 percent now," he said.

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: 昌图县| 台江县| 霍邱县| 伊川县| 习水县| 区。| 嫩江县| 淮滨县| 沽源县| 米泉市| 虎林市| 安宁市| 临澧县| 张家口市| 于都县| 庆城县| 乌拉特前旗| 兴山县| 雷山县| 务川| 柏乡县| 高清| 宁夏| 封丘县| 上林县| 楚雄市| 黎平县| 城市| 北宁市| 神木县| 文化| 许昌市| 太保市| 怀远县| 洞口县| 正蓝旗| 绥棱县| 翼城县| 木兰县| 禹州市| 涪陵区| 梅州市| 蒙自县| 京山县| 克山县| 凉城县| 敖汉旗| 德令哈市| 岑溪市| 分宜县| 临洮县| 台州市| 涞水县| 宜君县| 寻乌县| 平利县| 鄂托克旗| 临朐县| 林州市| 福贡县| 措美县| 正宁县| 马尔康县| 忻州市| 和田县| 兴义市| 定陶县| 崇礼县| 凌云县| 应城市| 葫芦岛市| 吴忠市| 汤原县| 德阳市| 苏州市| 封开县| 荃湾区| 荣成市| 金门县| 沙坪坝区| 扎鲁特旗| 潼关县|