ESG 数据集—国家地表水水质自动监测实时数据

pdf版本：ESG 数据集-国控地表水水质实时数据

1. 数据集名称：国家地表水水质自动监测实时数据
2. 数据集访问方式：https://data.epmap.org/product/water

下载，API，在线BI分析。

3. 数据起止时间：2014-04起到最新
4. 更新频度：每4小时
5. 数据量：2014-04-2020-11 100个自动监测断面左右，之后1600+自动监测断面
6. 地区覆盖度： 全国省份
7. 数据交付时间：T+0
8. 数据集数据来源：生态环境部地表水水质自动监测实时数据发布系统http://106.37.208.243:8068/GJZ/Business/Publish/Main.html （自2014年起已历经多次改版）
9. 数据集内容：
   1. 基础资料：含监测断面名称，所属省市，流域，经纬度。
   2. 2020-05前：监测时间，pH，溶解氧（DO），高锰酸盐指数（CODMn），总有机碳（TOC），氨氮（NH3-N）
   3. 2020-05后：水温，pH，溶解氧，电导率，浊度，高猛酸盐指数，氨氮，总磷，总氮，叶绿素α，藻密度。

 

10. 数据集推荐用途（仅为示例，不限于如下用途）：
    1. 城发债地方债等涉及水的风险评估。
    2. 对各地水处理相关企业发展前景评估。
    3. 对各地各企业所面临气候变化导致的水风险进行评估。

 

11. 数据集使用案例：
    1. 河海大学 水质时空特征及与流域人类活动的关系研究
    2. 昆山杜克大学 Duke Kunshan University 太湖地区环境参数与潜在致病菌的关系 The relationships between environmental parameters and potentially pathogenic bacteria in Taihu, China
    3. 中国农业大学 湟水河流域典型农田面源污染生态环境影响与系统防控机制研究
    4. 中国科学院大学/中国科学院生态环境研究中心 河网连通对我国河流水质水量的影响研究
    5. 中国科学技术大学 基于人工智能的水质预测模型

 

12. 联系方式：

上海闵行区青悦环保信息技术服务中心

邮箱：esg@epmap.org

网址：https://www.epmap.org

微博：上海青悦环保

微信：美丽环境行动者  ESG行动者  排污许可行动者

上海青悦ESG信息披露与评级方法论参见：https://www.epmap.org/esgmeth

 

ESG data set real time data of national surface water quality automatic monitoring

 

one Data set name: real time data of national surface water quality automatic monitoring

 

two Data set access mode: https://data.epmap.org/product/water

 

Download, API, online Bi analysis.

 

three Data start and end time: from April 2014 to the latest

 

four Update frequency: every 4 hours

 

five Data volume: about 100 automatic monitoring sections from April 2014 to November 2020, followed by 1600 + automatic monitoring sections

 

six Regional coverage: provinces in China

 

seven Data delivery time: T + 0

 

eight Data source: real time data release system of surface water quality automatic monitoring of Ministry of ecological environment http://106.37.208.243 : 8068 / GJZ / business / publish / main.html, which has been revised many times since 2014

 

nine Data set content:

 

1. a) Basic data: including monitoring section name, province, basin, longitude and latitude.

 

1. b) Before 2020-05: monitoring time, pH, dissolved oxygen (do), permanganate index (CODMn), total organic carbon (TOC), ammonia nitrogen (NH3-N)

 

1. c) After 2020-05: water temperature, pH, dissolved oxygen, conductivity, turbidity, high ferulate index, ammonia nitrogen, total phosphorus, total nitrogen, chlorophyll α， Algae density.

 

ten Recommended use of data set (for example only, not limited to the following uses)

 

1. a) Risk assessment of water related issues such as urban bonds, local bonds, etc.

 

1. b) Evaluate the development prospect of water treatment related enterprises.

 

1. c) Assess the water risk caused by climate change faced by local enterprises.

 

eleven Data set use case:

 

1. a) Hohai University Spatial and temporal characteristics of water quality and its relationship with human activities

 

1. b) Duke Kunshan University The relationships between environmental parameters and potentially pathogenic bacteria in Taihu, China

 

1. c) China Agricultural University Study on the eco-environmental impact of typical farmland non-point source pollution and system control mechanism in Huangshui River Basin

 

1. d) University of Chinese Academy of Sciences / ecological environment research center of Chinese Academy of Sciences Influence of river network connectivity on water quality and quantity of rivers in China

 

1. e) University of science and technology of China Water quality prediction model based on Artificial Intelligence

 

twelve contact information:

 

Shanghai Minhang District Qingyue environmental protection information technology service center

 

Email: esg@epmap.org

 

website: https://www.epmap.org

 

Microblog: Shanghai Qingyue environmental protection

 

Wechat: beautifulchinaactor, esgactor, permitactor

 

For the information disclosure and Rating Methodology of Shanghai Qingyue ESG, please refer to: https://www.epmap.org/esgmeth