Uncertainty based load reduction scenario analysis for Lake Dianchi using nonlinear response function-embedded Monte Carlo simulation
Uncertainty based load reduction scenario analysis for Lake Dianchi using nonlinear response function-embedded Monte Carlo simulation
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发表时间:
2011
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通讯作者:
G. Huaicheng
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作者:
G. Huaicheng
Water quality modeling can provide an effective way to determine permissible waste load and predict consequences of different waste load allocation scenarios,while related uncertainty analysis can provide decision makers useful information regarding the potential risk in decision makings.For Lake Dianchi,the key management problem is to determine how the water quality would respond to the load reduction in the watershed.To support risk based decision making,an analytical response function was derived based on the numerical water quality model and was embedded into a Monte Carlo simulation as a surrogate of the time-consuming simulation model for computational efficiency.Two different levels of uncertainties,5% and 10% stochastic variability,are considered in this analysis.The model results indicated that under the two uncertainty levels,the load reduction corresponding to Class Ⅲ and Ⅴ water quality targets are relatively safer with lower water quality violation risk.On the contrary,the load reduction corresponding to the Class Ⅳ water quality target is moderately risky that has higher probability of violating the corresponding water quality targets than the scenarios for Class Ⅲ and Ⅴ targets.The Monte Carlo simulation for Chlorophyll-a response showed that the reduction of nutrient can result in significant decrease in chlorophyll-a.However,there is still relatively higher risk of algal bloom even though the water quality target achieves the most aggressive Class Ⅲ target in Lake Dianchi.