太阳成8722(中国)有限公司-GREEN NO.1

标题：Predicting lake water quality responses to load reduction: a three-dimensional modeling approach for total maximum daily load作者：Wang, Z.; Zou, R.; Zhu, X.; He, B.; Yuan, G.; Zhao, L.; Liu, Y.

来源出版物：INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY 卷：11 期：2 页：423-436 DOI：10.1007/s13762-013-0210-7 出版年：MAR 2014

摘要：Water quality restoration efforts often suffer the risk of ineffectiveness and failure due to lack of quantitative decision supports. During the past two decades, the restoration of one of China's most heavily polluted lakes, Lake Dianchi, has experienced costly decision ineffectiveness with no detectable water quality improvement. The governments are planning to invest tremendous amount of funds in the next 5 years to continue the lake restoration process; however, without a quantitative understanding between the load reduction and the response in lake water quality, it is highly possible that these planned efforts would suffer the similar ineffectiveness as before. To provide scientifically sound decision support for guiding future load reduction efforts in Lake Dianchi Watershed, a sophisticated quantitative cause-and-effect response system was developed using a three-dimensional modeling approach. It incorporates the complex three dimensional hydrodynamics, fate and transport of nutrients, as well as nutrient-algae interactions into one holistic framework. The model results show that the model performs well in reproducing the observed spatial pattern and temporal trends in water quality. The model was then applied to three total maximum daily load scenarios and two refined restoration scheme scenarios to quantify phytoplankton responses to various external load reduction intensities. The results show that the algal bloom in Lake Dianchi responds to load reduction in a complex and nonlinear way, therefore, it is necessary to apply the developed system for future load reduction and lake restoration schemes for more informed decision making and effective management.

入藏号：WOS:000331804300018

文献类型：Article

语种：English

作者关键词：Algae bloom, Water quality modeling, Scenario analysis, Total maximum daily load, Lake Dianchi

扩展关键词：ECOSYSTEMS; EUTROPHICATION; UNCERTAINTY; MANAGEMENT; PHOSPHORUS; MARINE; TMDL

通讯作者地址：Liu, Y.; Peking Univ, Coll *Environm* Sci & Engn, Key Lab Water & Sediment Sci, Minist Educ, Beijing 100871, Peoples R China.

电子邮件地址：yongliu@pku.edu.cn

地址：

[Wang, Z.] Wuhan Univ, Sch Resource & Environm Sci, Wuhan 430079, Peoples R China.

[Zou, R.] Tetra Tech Inc, Fairfax, VA 22030 USA.

[Zhu, X.; He, B.; Yuan, G.; Zhao, L.] Yunnan Key Lab Pollut Proc & Management Plateau L, Kunming 650034, Peoples R China.

[Liu, Y.]Peking Univ, Coll *Environm* Sci & Engn, Key Lab Water & Sediment Sci, Minist Educ, Beijing 100871, Peoples R China.

研究方向：Environmental Sciences & Ecology

ISSN：1735-1472