Distributional assumptions in chance-constrained programming models of stochastic water pollution

Environmental Modeling and Assessment

Volumn 15, Issue 4, 2010, Pages 273-281

  Kataria, Mitesh ^a   Elofsson, Katarina ^b   Hasler, Berit ^c  

^a MAX PLANCK INSTITUTE FOR THE SCIENCE OF HUMAN HISTORY   (Germany)

^b SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

^c NATIONAL ENVIRONMENTAL RESEARCH INSTITUTE   (Denmark)

Author keywords

Chance constrained programming; Cost effectiveness; Log normal distribution; Truncated normal distribution; Water pollution

Indexed keywords

COMPUTER PROGRAMMING; COST EFFECTIVENESS; NORMAL DISTRIBUTION; OIL SPILLS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WATER MANAGEMENT;

CENTRAL LIMIT THEOREM; CHANCE-CONSTRAINED PROGRAMMING; CHANCE-CONSTRAINED PROGRAMMING MODEL; COST MINIMIZATION MODELS; LOG-NORMAL DISTRIBUTION; POLLUTION LOADS; PROBABILISTIC CONSTRAINTS; TRUNCATED NORMAL DISTRIBUTIONS;

WATER POLLUTION;

COMPUTER SIMULATION; COST ANALYSIS; NUMERICAL MODEL; STOCHASTICITY; WATER MANAGEMENT; WATER POLLUTION;

ATLANTIC OCEAN; BALTIC SEA;

EID: 77954222014     PISSN: 14202026     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10666-009-9205-7     Document Type: Article

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