Inexact Chance-constrained Quadratic Programming Model for Stream Water Quality Management

Water quality management is complicated with a variety of uncertainties and nonlinearities. This leads to difficulties in formulating and solving the resulting inexact nonlinear optimization problems. In this study, an inexact chance-constrained quadratic programming (ICCQP) model was developed for...

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Vydané v:	Water resources management Ročník 23; číslo 4; s. 661 - 695
Hlavní autori:	Qin, X. S, Huang, G. H
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Dordrecht Dordrecht : Springer Netherlands 01.03.2009 Springer Netherlands Springer Springer Nature B.V
Predmet:	Atmospheric Sciences Case studies Chance-constrained programming China Civil Engineering Computer simulation cost effectiveness Creeks & streams Decision making Earth and Environmental Science Earth Sciences Earth, ocean, space Engineering and environment geology. Geothermics Environment Exact sciences and technology Fuzzy sets Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrology Hydrology. Hydrogeology Hydrology/Water Resources Interval quadratic programming Linear programming Management Mathematical analysis Mathematical models Monte Carlo method Monte Carlo simulation Nonlinearity Optimization Planning Pollutants Pollution Pollution control Pollution, environment geology Probability probability distribution Quadratic programming Quality management Random variables risk rivers simulation models Stream water streams Studies Uncertainty waste reduction Wastewater treatment water management Water quality Water quality management Water quality standards Water resources Water treatment Far East Asia China China, People's Rep China, People's Rep., Xiangjiang R China, People's Rep., Hunan Prov., Changsha Chance-constrained programming Uncertainty Interval quadratic programming Water quality management rivers models cost waste water Monte Carlo analysis probability streams digital simulation pollution point sources water quality optimization water resource management Water quality management . Uncertainty strategy
ISSN:	0920-4741, 1573-1650
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