A probabilistic conceptual model to attribute runoff variations to human activity-Reference-Cited by-同舟云学术

A probabilistic conceptual model to attribute runoff variations to human activity

Published:2021-01-22 Issue:2 Volume:66 Page:309-321
ISSN:0262-6667
Container-title:Hydrological Sciences Journal
language:en
Short-container-title:Hydrological Sciences Journal

Author:

Liu Dan¹²,Wang Xuan¹²,Jaramillo Fernando³⁴^ORCID,Yi Yujun¹²,Li Chunhui²,Yang Zhifeng¹²⁵

Affiliation:

1. State Key Laboratory of Water Environment Simulation, Beijing Normal University, Beijing, China

2. Key Laboratory for Water and Sediment Sciences of Ministry of Education, Beijing Normal University, Beijing, China

3. Department of Physical Geography, Stockholm University, Stockholm, Sweden

4. Baltic Sea Centre, Stockholm University, Stockholm, Sweden

5. Beijing Engineering Research Center for Watershed Environmental Restoration & Integrated Ecological Regulation, Beijing Normal University, Beijing, China

Funder

National Natural Science Foundation of China

Innovative Research Group of the National Natural Science Foundation of China

National Key Research and Development Program of China

Major Science and Technology Program for Water Pollution Control and Treatment of China

Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning FORMAS

Swedish National Space Agency

Publisher

Informa UK Limited

Subject

Water Science and Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/02626667.2020.1857387

Reference60 articles.

1. Quantifying the relative impact of climate and human activities on streamflow

2. Attribution for decreasing streamflow of the Haihe River basin, northern China: Climate variability or human activities?

3. Changes in the winter precipitation in Romania and its relation to the large-scale circulation

4. Separating the impacts of climate change and human activities on streamflow: A review of methodologies and critical assumptions

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