An integrated risk assessment framework using information theory-based coupling methods for basin-scale water quality management: A case study in the Danjiangkou Reservoir Basin, China.

Zhang C, Nong X, Shao D, Chen L

Open source

DOI
10.1016/j.scitotenv.2023.163731
Published
2023 Aug 1
Container
The Science of the total environment
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.scitotenv.2023.163731,
  title = {An integrated risk assessment framework using information theory-based coupling methods for basin-scale water quality management: A case study in the Danjiangkou Reservoir Basin, China.},
  author = {Zhang C and Nong X and Shao D and Chen L},
  year = {2023},
  journal = {The Science of the total environment},
  doi = {10.1016/j.scitotenv.2023.163731},
  url = {https://doi.org/10.1016/j.scitotenv.2023.163731}
}

RIS

TY  - JOUR
TI  - An integrated risk assessment framework using information theory-based coupling methods for basin-scale water quality management: A case study in the Danjiangkou Reservoir Basin, China.
AU  - Zhang C
AU  - Nong X
AU  - Shao D
AU  - Chen L
PY  - 2023
JO  - The Science of the total environment
DO  - 10.1016/j.scitotenv.2023.163731
UR  - https://doi.org/10.1016/j.scitotenv.2023.163731
ER  - 

APA

C, Z., X, N., D, S., & L, C. (2023). An integrated risk assessment framework using information theory-based coupling methods for basin-scale water quality management: A case study in the Danjiangkou Reservoir Basin, China.. The Science of the total environment. https://doi.org/10.1016/j.scitotenv.2023.163731

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