Next Article in Journal
Research on Generating an Indoor Landmark Salience Model for Self-Location and Spatial Orientation from Eye-Tracking Data
Previous Article in Journal
A Multi-Mode PDR Perception and Positioning System Assisted by Map Matching and Particle Filtering
Open AccessArticle

Numerical Simulation of Donghu Lake Hydrodynamics and Water Quality Based on Remote Sensing and MIKE 21

1
School of Hydropower Engineering & Information Engineering, Huazhong University of Science & Technology, Wuhan 430074, China
2
Shanghai Academy of Spaceflight Technology, Shanghai 200000, China
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(2), 94; https://doi.org/10.3390/ijgi9020094
Received: 3 December 2019 / Revised: 20 January 2020 / Accepted: 27 January 2020 / Published: 4 February 2020
Numerical simulation is an important method used in studying the evolution mechanisms of lake water quality. At the same time, lake water quality inversion technology using the characteristics of spatial optical continuity data from remote sensing satellites is constantly improving. It is, however, a research hotspot to combine the spatial and temporal advantages of both methods, in order to develop accurate simulation and prediction technology for lake water quality. This paper takes Donghu Lake in Wuhan as its research area. The spatial data from remote sensing and water quality monitoring information was used to construct a multi-source nonlinear regression fitting model (genetic algorithm (GA)-back propagation (BP) model) to invert the water quality of the lake. Based on the meteorological and hydrological data, as well as basic water quality data, a hydrodynamic model was established by using the MIKE21 model to simulate the evolution rules of water quality in Donghu Lake. Combining the advantages of the two, the best inversion results were used to provide a data supplement for optimization of the water quality simulation process, improving the accuracy and quality of the simulation. The statistical results were compared with water quality simulation results based on the data measured. The results show that the water quality simulation of chlorophyll a and nitrate nitrogen mean square errors fell to 17% and 24%, from 19% and 31% respectively, after optimization using remote sensing spatial information. The model precision was thus improved, and this is consistent with the actual pollution situation of Donghu Lake. View Full-Text
Keywords: numerical simulation; remote sensing; MIKE21; lake; GA-BP Table numerical simulation; remote sensing; MIKE21; lake; GA-BP Table
Show Figures

Figure 1

MDPI and ACS Style

Li, X.; Huang, M.; Wang, R. Numerical Simulation of Donghu Lake Hydrodynamics and Water Quality Based on Remote Sensing and MIKE 21. ISPRS Int. J. Geo-Inf. 2020, 9, 94.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop