TY - GEN
T1 - Calibrating a holistic water resources-economic model
AU - Cai, Ximing
PY - 2004
Y1 - 2004
N2 - This paper presents a calibration approach to a holistic water resources-economic model, which involves essential water resources and economic components in a consistent model. The model is often formulated as an optimization model, with the objective of maximizing economic welfares/profits from water uses. When we apply the model to a baseline scenario against real world conditions, the economic outputs are often expected to match the observations, since a wide divergence between model outcomes under the baseline case and actual results is not appropriate for policy options starting from the baseline. Following the concept of "positive mathematical programming", which has been widely used in agricultural and applied economics, this paper presents a procedure to convert an existing normative model to a positive one through calibrating the model to the baseline level using both programming constraints and "positive" inferences from base-level observations. A genetic algorithm is used to implement the calibration process.
AB - This paper presents a calibration approach to a holistic water resources-economic model, which involves essential water resources and economic components in a consistent model. The model is often formulated as an optimization model, with the objective of maximizing economic welfares/profits from water uses. When we apply the model to a baseline scenario against real world conditions, the economic outputs are often expected to match the observations, since a wide divergence between model outcomes under the baseline case and actual results is not appropriate for policy options starting from the baseline. Following the concept of "positive mathematical programming", which has been widely used in agricultural and applied economics, this paper presents a procedure to convert an existing normative model to a positive one through calibrating the model to the baseline level using both programming constraints and "positive" inferences from base-level observations. A genetic algorithm is used to implement the calibration process.
KW - Calibration
KW - Genetic algorithm
KW - Modeling
KW - Water resources management
UR - http://www.scopus.com/inward/record.url?scp=23844452767&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=23844452767&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:23844452767
SN - 0784407371
SN - 9780784407370
T3 - Proceedings of the 2004 World Water and Environmetal Resources Congress: Critical Transitions in Water and Environmetal Resources Management
SP - 3058
EP - 3066
BT - Proceedings of the 2004 World Water and Environmetal Resources Congress
A2 - Sehlke, G.
A2 - Hayes, D.F.
A2 - Stevens, D.K.
T2 - 2004 World Water and Environmental Resources Congress: Critical Transitions in Water and Environmental Resources Management
Y2 - 27 June 2004 through 1 July 2004
ER -