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Determination of river cross section for 1-D water quality model in area without observation data
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Science & Technology Review | 2017, 35(16) : 74 - 83
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Science & Technology Review | 2017, 35(16): 74-83
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Determination of river cross section for 1-D water quality model in area without observation data
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LU Min1, JIN Tiantian2, YIN Jing2, SU Huidong1
Affiliations
    1. College of Earth Environmental Science, Lanzhou University, Lanzhou 730000, China;
    2. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing 100038, China
Published: 2017-08-28 doi: 10.3981/j.issn.1000-7857.2017.16.010
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The hydrodynamic and water quality model is widely used in the water environmental capacity calculation. However, the establishing of the model depends very much on the cross section data, which are sometimes not available, especially in medium and small river areas of West China. In this paper, the Google Earth remote sensing images, the maximum river water depth obtained from the field measurement and a piecewise mathematical model are combined to acquire the generalized cross section data. The MIKE, the hydrodynamic and water quality model worldwidely used, is adopted to test the generalized cross section data. The 1-D hydrodynamic and water quality models are established with the generalized cross section data and the cross section data obtained from field measurement, respectively. The method is tested through a comparison of the outputs (including the water level, the flow velocity, and the pollutant density) of the two models with different cross section inputs. According to the result, no significant differences are found between the two models in the water level, the flow velocity, and the pollutant density at the upper, middle and lower sections of the simulated river segment. It is emphasized that identical parameters, except the cross section data, are used for the models. The consistency of two model outputs can be improved further through the input of the field water level, the flow velocity, and the pollutant density. This research provides a simple and convenient way to establish the cross section file for building the 1-D Hydrodynamic and quality model under the MIKE11 in the areas where the measured cross section data are not available.
river with less data  /  1-D model hydrodynamic and water quality  /  generalized cross section  /  Google Earth remote sensing image
卢敏, 靳甜甜, 尹婧, 苏辉东. 少资料河流一维水动力水质模型概化断面参数获取方法. 科技导报, 2017 , 35 (16) : 74 -83 . DOI: 10.3981/j.issn.1000-7857.2017.16.010
LU Min, JIN Tiantian, YIN Jing, SU Huidong. Determination of river cross section for 1-D water quality model in area without observation data[J]. Science & Technology Review, 2017 , 35 (16) : 74 -83 . DOI: 10.3981/j.issn.1000-7857.2017.16.010
Year 2017 volume 35 Issue 16
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doi: 10.3981/j.issn.1000-7857.2017.16.010
  • Receive Date:2017-03-03
  • Online Date:2017-08-26
  • Published:2017-08-28
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  • Received:2017-03-03
  • Revised:2017-07-28
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
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属
Genus
种数
Number of
species
占总种数比例
Percentage of total
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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