Abstract: The coastal ecosystem carbon pool estimation method of the invention belongs to the field of environmental assessment, and includes the following steps: (a) determining the spatial boundary of the coastal ecosystem; (b) determining the dominant plant classification area of the coastal ecosystem; (c) calculating the carbon source of the freshwater plant dominant area; (d) size setting of carbon source sampling point in coastal ecosystem; (e) sampling method of carbon source sampling point in coastal ecosystem; (f) carbon source estimation method in coastal ecosystem.
Type:
Grant
Filed:
May 13, 2022
Date of Patent:
November 12, 2024
Assignee:
NANJING INSTITUTE OF ENVIRONMENTAL SCIENCES, MINISTRY OF ECOLOGY AND ENVIRONMENT OF THE P.R.C
Inventors:
Fei He, Weixin Li, Jie Ma, Han Qiu, Zhuang Liu, Yufeng Xie, Jian Li, Xuhan Zhang, Jianhui Liu, Chao Fu
Abstract: The coastal ecosystem carbon pool estimation method of the invention belongs to the field of environmental assessment, and includes the following steps: (a) determining the spatial boundary of the coastal ecosystem; (b) determining the dominant plant classification area of the coastal ecosystem; (c) calculating the carbon source of the freshwater plant dominant area; (d) size setting of carbon source sampling point in coastal ecosystem; (e) sampling method of carbon source sampling point in coastal ecosystem; (f) carbon source estimation method in coastal ecosystem.
Type:
Application
Filed:
May 13, 2022
Publication date:
April 20, 2023
Applicant:
NANJING INSTITUTE OF ENVIRONMENTAL SCIENCES, MINISTRY OF ECOLOGY AND ENVIRONMENT OF THE P.R.C.
Inventors:
Fei HE, Weixin LI, Jie MA, Han QIU, Zhuang LIU, Yufeng XIE, Jian LI, Xuhan ZHANG, Jianhui LIU, Chao FU
Abstract: A risk prediction and early warning method for water environments based on a water environment model predicting pollution discharge information for all pollution sources in a watershed, and including: selecting pollution sources requiring environmental risk prediction and early warning and dividing these into different risk prediction/early warning levels; determining from official environmental monitoring data and literature research initial elements for environmental pollution risk evaluation; obtaining principal pollution elements affecting pollution events; generating a plurality of environmental risk prediction and early warning models; forming a comprehensive fuzzy risk prediction and early warning model by combining the several risk prediction and early warning models having the best selective performance; inputting principal pollution element values into the comprehensive fuzzy risk prediction and early warning model, and predicting risk values for pollution events at pollution sources.
Type:
Application
Filed:
December 28, 2020
Publication date:
May 19, 2022
Applicant:
Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of the P.R.C.
Inventors:
Fei HE, Weixin LI, Bin XU, Zhuang LIU, Jianying CHAO, Yufeng XIE, Wei ZHUANG, Hanbei DU, Jian LI