三峡库区大宁河口水体富营养化三维精细化模拟

赵鑫,冯璁,吴敏

长江科学院院报 ›› 2015, Vol. 32 ›› Issue (6) : 25-31.

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长江科学院院报 ›› 2015, Vol. 32 ›› Issue (6) : 25-31. DOI: 10.3969/j.issn.1001-5485.2015.06.005
水环境模拟

三峡库区大宁河口水体富营养化三维精细化模拟

  • 赵鑫a,b,冯璁a,b,吴敏a,b
作者信息 +

Sophisticated 3D Modeling for Eutrophication in Daning River, Three Gorges Reservoir Area

  • ZHAO Xin1,2, FENG Cong1,2, WU Min1,2
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摘要

针对目前三峡库区水力控藻仍然缺乏有效工具的问题,利用2010—2011年大昌和大宁河口实测水文、水质数据,基于EFDC富营养化模块,构建了三峡库区大宁河口三维富营养化模型,并利用双龙和龙门断面实测数据进行了模型参数率定和验证。结果显示水温模拟效果最好,模拟值与实测值高度吻合,各误差统计量也较小,如相对误差均小于10%;总氮和总磷模拟值与实测值有一定偏差,吻合度依然较好,总氮相对误差均小于40%,总磷最大相对误差为67.002%;叶绿素a模拟误差较大,但仍能很好模拟叶绿素a变化趋势。该模型可为后续开展三峡水力调度抑制“水华”爆发提供技术支持。

Abstract

Effective tools of controlling algae bloom by hydraulic regulation are still in lack in the Three Gorges Reservoir Area. In view of this, a 3D eutrophication model based on EFDC (Environmental Fluid Dynamics Code) eutrophication module was built using the meteorological, hydrological and water quality data of 2010 and 2011 in Dachang section and Daning River estuary. Measured data of Shuanglong and Longmen sections were employed for model calibration and validation. Results show the water temperature modeling works best with the simulated and observed values highly consistent and error statistics small (relative error smaller than 10%). Moreover, the simulated and observed values of total nitrogen and total phosphorus are well consistent, nevertheless with some deviations: the relative error of total nitrogen is smaller than 40%, and the maximum relative error of total phosphorus is 67.002%. There are large deviations in chlorophyll-a simulation, but the trends of chlorophyll-a variation could still be well reflected. This model provides technical support for controlling algae bloom by hydraulic scheduling.

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赵鑫,冯璁,吴敏. 三峡库区大宁河口水体富营养化三维精细化模拟[J]. 长江科学院院报. 2015, 32(6): 25-31 https://doi.org/10.3969/j.issn.1001-5485.2015.06.005
ZHAO Xin, FENG Cong, WU Min. Sophisticated 3D Modeling for Eutrophication in Daning River, Three Gorges Reservoir Area[J]. Journal of Changjiang River Scientific Research Institute. 2015, 32(6): 25-31 https://doi.org/10.3969/j.issn.1001-5485.2015.06.005
中图分类号: X522   

基金

国家自然科学基金青年科学基金项目(51209012);中央级科研院所基本科研业务费项目(CKSF2013045/SH)

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