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

Agricultural and Forest Meteorology

Volumn 178-179, Issue , 2013, Pages 56-65

  Zhang, Tianyi ^a   Simelton, Elisabeth ^b,e   Huang, Yao ^c   Shi, Ying ^d  

^a INSTITUTE OF ATMOSPHERIC PHYSICS   (China)

^b UNIVERSITY OF LEEDS   (United Kingdom)

^c INSTITUTE OF BOTANY   (China)

^d China Meteorological Administration   (China)

^e WORLD AGROFORESTRY CENTRE ICRAF   (Kenya)

Author keywords

Bayesian formula; Climate change; Drought; Irrigation; Water availability

Indexed keywords

ASSESSMENT METHOD; BAYESIAN ANALYSIS; CLIMATE CHANGE; CLIMATE CONDITIONS; CROP YIELD; DATA SET; DROUGHT STRESS; IRRIGATION; NUMERICAL MODEL; RAINFALL; RISK FACTOR; WATER AVAILABILITY; WATER SUPPLY;

CHINA;

EID: 84880327951     PISSN: 01681923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agrformet.2012.06.002     Document Type: Article

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