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首页> 外文期刊>Limnologica >Ecological-economic modeling as a tool for watershed management: A case study of Lake Qionghai watershed, China
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Ecological-economic modeling as a tool for watershed management: A case study of Lake Qionghai watershed, China

机译：生态经济模型作为流域管理的工具：以中国琼海流域为例

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摘要

This paper presents an ecological-economic model for a lake and its watershed systems. We describe the linkage between the watershed system and the lake aquatic ecosystem and the modeling process. The take-watershed system was divided into six subsystems: social system, economic system, terrestrial ecosystem, lake water system, pollutant system, and lake aquatic ecosystem. The model equations were constructed based on five main assumptions. The Lake Qionghai watershed in southwestern China, which is undergoing rapid eutrophication, was used as a case study. The targeted goals for total phosphorus (TP) and chlorophyll a (Chl a) concentrations in the lake in 2015 are 0.025 and 10.0 mg m(-3), respectively. We present two scenarios from 2004 to 2015 based on the ecological-economic model. In both scenarios, the TP and Chl a concentrations in the lake are predicted to increase under the effects of watershed pressures and the targeted goals cannot be met. The application of techniques to reduce pollutants loading and the corresponding pollutants reductions are reflected again in the constructed model. The model predicts that TP and Chl a concentrations will decrease to 0.024 and 7.71 mg m(-3), respectively, which meet the targeted thresholds. The model results provide directions for local government management of watersheds and lake aquatic ecosystem restoration.
机译：本文提出了湖泊及其流域系统的生态经济模型。我们描述了流域系统与湖泊水生生态系统之间的联系以及建模过程。分水岭系统分为六个子系统：社会系统，经济系统，陆地生态系统，湖泊水系统，污染物系统和湖泊水生生态系统。模型方程是基于五个主要假设构建的。以中国西南部琼海流域为例，该流域正在快速富营养化。 2015年湖中总磷（TP）和叶绿素a（Chla）的目标浓度分别为0.025和10.0 mg m（-3）。基于生态经济模型，我们提出了2004年至2015年的两种情景。在这两种情况下，预计在分水岭压力的影响下，湖中的TP和Chla浓度会增加，并且无法实现目标。建立的模型再次反映了减少污染物负荷的技术应用和相应的污染物减少。该模型预测TP和Chla的浓度将分别降低至0.024和7.71 mg m（-3），满足目标阈值。模型结果为地方政府对流域和湖泊水生生态系统的恢复提供了指导。

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