Work

A Bayesian assessment of the current irrigation water supplies capacity under projected droughts for the 2030s in China

Year: 2012

Type: article

Source: Agricultural and Forest Meteorology

DOI: 10.1016/j.agrformet.2012.06.002

Authors: Tianyi Zhang, Elisabeth Simelton, Yao Huang, Ying Shi

Institutions: Chinese Academy of Sciences, Institute of Atmospheric Physics, State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, University of Leeds, Centre for Climate Change Economics and Policy, World Agroforestry Centre, Institute of Botany, State Key Laboratory of Vegetation and Environmental Change, China Meteorological Administration

Language: English

Topic: Climate change impacts on agriculture

Subfield: Agronomy and Crop Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDGs: Zero hunger, Climate action, Clean water and sanitation

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, China Meteorological Administration, Ministry of Water Resources

Award: G2132607973

OpenAlex ID: W1998500857

FWCI: 3.077

Cites: 48

Cited by: 20

Related to: 10