WASP模型在长江航道疏浚水质模拟中的应用
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摘要
目的探讨WASP模型对长江航道疏浚水质模拟的合理性和实用性。方法比选WASP模型对长江中游荆江太平口航道疏浚水域溶解氧、叶绿素a、总悬浮物进行参数率定及验证和灵敏度分析。结果溶解氧、叶绿素a、总悬浮物平均模拟误差分别为0.38%、7.01%、18.65%;溶解氧模拟值在6.0～8.5mg/L之间,叶绿素a模拟值在0.5～2.6μg/L之间,总悬浮物模拟值在0～27mg/L之间,且与实测值基本吻合;灵敏度分析显示,20℃大气复氧系数对溶解氧为最灵敏参数,温度对叶绿素a为最灵敏参数,尚未发现针对总悬浮物的最灵敏参数。结论 WASP模型在长江中游荆江太平口航道疏浚水质模拟中的应用较好,可为后期疏浚水环境管理提供理论和方法依据。
Objectives To explore the application of WASP model in simulation-based assessments of the water quality of dredged waters of the Yangtze River. Methods Waterway dredging is an important way to increase the navigation scale and to improve the navigation conditions. Dredging and dredging processes may cause changes in surrounding water quality and environment. Water quality based on the dissolved oxygen, chlorophyll a and total suspended solids in a Taipingkou dredging channel in the middle reaches of the Yangtze River was studied through a simulation by means of the WASP model. Results The simulation assessment showed that the average relative errors of dissolved oxygen, chlorophyll a and total suspended solids levels in the river were 0.38%, 7.01% and 18.65%, respectively. The dissolved oxygen was between 6.0-8.5 mg/L, chlorophyll a was between 0.5-2.6μg/L, and total suspended solids was between 0-27 mg/L. These predicted values were basically consistent with the measured values. Sensitivity analysis showed that coefficient of aeration at 20℃ was the most sensitive parameter of dissolved oxygen. Temperature was the most sensitive parameter of chlorophyll a. In addition, no sensitive parameters were identified in the analysis of total suspended solids while applying this modeling. These results indicated that the WASP model could satisfactorily be applied to the water quality simulation of a dredging river channel. Conclusion The WASP model provides a theoretical and methodological basis for monitoring and controlling dredging water quality.
Objectives To explore the application of WASP model in simulation-based assessments of the water quality of dredged waters of the Yangtze River. Methods Waterway dredging is an important way to increase the navigation scale and to improve the navigation conditions. Dredging and dredging processes may cause changes in surrounding water quality and environment. Water quality based on the dissolved oxygen, chlorophyll a and total suspended solids in a Taipingkou dredging channel in the middle reaches of the Yangtze River was studied through a simulation by means of the WASP model. Results The simulation assessment showed that the average relative errors of dissolved oxygen, chlorophyll a and total suspended solids levels in the river were 0.38%, 7.01% and 18.65%, respectively. The dissolved oxygen was between 6.0-8.5 mg/L, chlorophyll a was between 0.5-2.6μg/L, and total suspended solids was between 0-27 mg/L. These predicted values were basically consistent with the measured values. Sensitivity analysis showed that coefficient of aeration at 20℃ was the most sensitive parameter of dissolved oxygen. Temperature was the most sensitive parameter of chlorophyll a. In addition, no sensitive parameters were identified in the analysis of total suspended solids while applying this modeling. These results indicated that the WASP model could satisfactorily be applied to the water quality simulation of a dredging river channel. Conclusion The WASP model provides a theoretical and methodological basis for monitoring and controlling dredging water quality.
引文
[1] 杨朝.基于环保理念的航道疏浚工程[J].中国水运,2017,38(3):55-56.
[2] 胡秋萍,曾武.航道疏浚工程影响水环境分析及应急对策[J].中国水运,2014,14(12):150-151.
[3] 赵康平,陈岩,谢阳村,等.承德市滦河流域输入响应模型应用研究[J].环境污染与防治,2016,38(3):107-110.
[4] LIU DONGJUN, ZOU ZHIHONG.Sensitivity Analysis of Parameters in Water Quality Models and Water Environment Management[J].Journal of Environmental Protection,2012,3,863-870.
[5] 王婧,黄艳,曹艳,等. 应用SVM模型对某县级水厂水源水指标的预测[J].公共卫生与预防医学,2017,28(5):27-32.
[6] 周鹏程,王丽萍,赵璧奎,等.多水库水质模拟模型参数优化研究[J].水电能源科学, 2012,30(3): 48-50.
[7] LAI YC,CHIEN CC,YANG ZH,et al.Developing an Integrated Modeling Tool for River Water Quality Index Assessment[J].Water Environ Research,2017,89(3):260-273.
[8] Mark E, Jennifer O. Development and application of a WASP model on a large Texas reservoir to assess eutrophication control[J].Lake and Reservoir Management,2009,25(2):136-148.
[9] 王思文,齐少群,于丹丹,等.基于WASP模型的水环境质量预测与评价研究—以松花江哈尔滨江段为例[J].自然灾害科学,2015,24(1):39-45.
[10] 姜雪,卢文喜,黄鹤,等.基于WASP模型的东辽河水环境容量计算[J].节水灌溉, 2012(6):56-59.
[11] 杨平,王童,陶占盛,等.WASP水质模型在河流富营养化问题中的应用[J].世界地质,2011,3(2):265-269.
[12] 张质明,王晓燕,潘润泽.一种改进的不确定性水质模型参数率定方法[J].中国环境科学,2017,37(3):956-962.
[2] 胡秋萍,曾武.航道疏浚工程影响水环境分析及应急对策[J].中国水运,2014,14(12):150-151.
[3] 赵康平,陈岩,谢阳村,等.承德市滦河流域输入响应模型应用研究[J].环境污染与防治,2016,38(3):107-110.
[4] LIU DONGJUN, ZOU ZHIHONG.Sensitivity Analysis of Parameters in Water Quality Models and Water Environment Management[J].Journal of Environmental Protection,2012,3,863-870.
[5] 王婧,黄艳,曹艳,等. 应用SVM模型对某县级水厂水源水指标的预测[J].公共卫生与预防医学,2017,28(5):27-32.
[6] 周鹏程,王丽萍,赵璧奎,等.多水库水质模拟模型参数优化研究[J].水电能源科学, 2012,30(3): 48-50.
[7] LAI YC,CHIEN CC,YANG ZH,et al.Developing an Integrated Modeling Tool for River Water Quality Index Assessment[J].Water Environ Research,2017,89(3):260-273.
[8] Mark E, Jennifer O. Development and application of a WASP model on a large Texas reservoir to assess eutrophication control[J].Lake and Reservoir Management,2009,25(2):136-148.
[9] 王思文,齐少群,于丹丹,等.基于WASP模型的水环境质量预测与评价研究—以松花江哈尔滨江段为例[J].自然灾害科学,2015,24(1):39-45.
[10] 姜雪,卢文喜,黄鹤,等.基于WASP模型的东辽河水环境容量计算[J].节水灌溉, 2012(6):56-59.
[11] 杨平,王童,陶占盛,等.WASP水质模型在河流富营养化问题中的应用[J].世界地质,2011,3(2):265-269.
[12] 张质明,王晓燕,潘润泽.一种改进的不确定性水质模型参数率定方法[J].中国环境科学,2017,37(3):956-962.