Probabilistic description of crop development and irrigation water requirements with stochastic rainfall

Water Resources Research

Volumn 49, Issue 3, 2013, Pages 1466-1482

  Vico, Giulia ^a,b   Porporato, Amilcare ^b,c  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^b Duke University   (United States)

^c DUKE UNIVERSITY   (United States)

Author keywords

dichotomic Markov process; irrigation; rainfall unpredictability; soil moisture; yield probability density function

Indexed keywords

CROPS; DECISION MAKING; DECISION THEORY; IRRIGATION; MARKOV PROCESSES; PROBABILITY DENSITY FUNCTION; PROFITABILITY; RAIN; SOIL MOISTURE; STOCHASTIC SYSTEMS; SUSTAINABLE DEVELOPMENT; WATER CONSERVATION;

APPROXIMATE EXPRESSIONS; DECISION MAKING UNDER UNCERTAINTY; EXPECTED UTILITY THEORY; FUTURE CLIMATE SCENARIOS; IRRIGATION WATER REQUIREMENTS; PROBABILISTIC DESCRIPTIONS; PROBABILITY DENSITY FUNCTION (PDF); SUSTAINABLE WATER MANAGEMENT;

WATER MANAGEMENT;

AGRICULTURAL ECOSYSTEM; CLIMATE VARIATION; CROP YIELD; DECISION MAKING; IRRIGATION SYSTEM; MARKOV CHAIN; PROBABILITY; RAINFALL; SOIL MOISTURE; STOCHASTICITY; WATER MANAGEMENT; WATER RESOURCE;

EID: 84876708251     PISSN: 00431397     EISSN: 19447973     Source Type: Journal    
DOI: 10.1002/wrcr.20134     Document Type: Article

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