Body chlorophyll a is an important index to reflect the quality of water quality, and it is also the primary consideration for water quality monitoring based on satellite remote sensing images. Taking five typical lakes in southeastern Hubei as an example, this paper studied the chlorophyll inversion model applicable to five lakes in southeastern Hubei on November 11, 2021 under the combination mode of various bands of Landsat-8 images. Based on the measured chlorophyll a data on the ground, the accuracy of different chlorophyll inversion methods was evaluated, and the chlorophyll content and spatial distribution were obtained by the final inversion. The experimental results show that the accuracy of the multiband combination is high, and the correlation between the B5/B4 band combination and the chlorophyll a content is the highest. The fitting coefficient of the model is higher than 60%, and the inversion accuracy is good. The distribution of chlorophyll was different in different degrees. The chlorophyll concentration in most lakes was higher on the shore and lower in the center of the lake.
This article predominantly studies the application of water quality models in Danjiangkou Reservoir and explores the principles and research progress of water quality models. Subsequently, the application of water quality models in Danjiangkou Reservoir was introduced. This article analyzes the water quality data of Danjiangkou in 2012 and looks forward to the next step of using the Environmental Fluid Dynamics Code (EFDC) model to study the Danjiangkou Reservoir. This study has important theoretical and practical significance for a deeper understanding of the principles and research progress of water quality models, as well as their application in the Danjiangkou Reservoir.
KEYWORDS: Water quality, 3D modeling, Solar radiation models, Nitrogen, Phosphorus, Water, Pollution, Data modeling, Computer simulations, 3D applications
As one of the important drinking water sources in Fuzhou City, the ecological management of Shanzai Reservoir cannot be ignored. Based on previous water quality simulation studies, this paper utilizes the MIKE numerical simulation software to conduct two-dimensional water quality simulation and three-dimensional water quality simulation of Shanzai Reservoir and proposes measures for preventing and controlling eutrophication. The research on this simulation method can better address the threat of eutrophication to the water source security of Shanzai Reservoir.
Hydrological forecast technology plays an important role in water resources management for agricultural irrigation, water supply and flood control in urban and rural areas. However, how to improve the applicability of runoff forecast models has always been a major difficulty in water resources research. As the largest water system in North China, the Haihe River Basin has experienced severe water shortages in recent years, which has put tremendous pressure on water supply in northern China. Based on monthly runoff observed at 15 hydrological stations from 2001 to 2018, this paper takes the Haihe River Basin as the study area and applies the simple ANN (artificial neural network) model, the GAANN coupling model, and the SWAT model to forecasting monthly runoff respectively. Four evaluation criteria (R2, NSE, RMSE, MAE) for prediction performance of models are used with a view to discussing the applicability of different models to hydrological forecast of rivers in resource-deficient areas of North China.
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