Managing Lake Hartwell through Modeling of Lake Water Surface Elevations

2014 ◽  
2013 ◽  
Vol 303-306 ◽  
pp. 744-747
Author(s):  
Xing Hua Le ◽  
Mei Ying Wan ◽  
Zhe Wen Fan ◽  
Yu Fang ◽  
Ling Quang Huang

. In the paper, we use med-resolution image data-MODIS to monitor Poyang Lake water surface. The resolution of images is 250 meters. The cycle of the monitoring frequence is 8 days. The monitoring time is from Jan, 1st to June, 25th, 2012. We select water surface in the embankment of Poyang Lake as the research object. The results show that Modis image can extracte water surface information quickly for water monitoring in time. The technology can be supplied to trail the change of Poyang Lake eco-system frequently.


Author(s):  
X. Wen ◽  
Z. Li ◽  
D. Xiang ◽  
S. Shen ◽  
D. Hu ◽  
...  

The new data source of China’s civilian high resolution earth observation system ZY-3, GF-1 were applied in the application of the monitoring and protection of the inland-lakes in Wuhan, Hubei Province. After the pre-process of these high resolution satellite images, the object-oriented classification and object-oriented change detection technology were applied in the inland-lakes protection of Wuhan, China. In this paper, the Xiwanhu Lake and Tangxunhu Lake including their surrounding areas were selected as an example, with the experiments the status of these lakes including the lake boundary, lake area and the change of these lakes including the lake water surface increased area, lake water surface decreased area were be obtained. Compared with the pixel-based method, the object-oriented classification and change detection technology shows its intuitive and higher precision in inland-lake protection. Remote sensing technology should be applied in monitoring and protection the inland-lake and other respects of water resource management more widely and deeply in China.


2019 ◽  
Vol 23 (10) ◽  
pp. 4051-4076 ◽  
Author(s):  
Margarita Choulga ◽  
Ekaterina Kourzeneva ◽  
Gianpaolo Balsamo ◽  
Souhail Boussetta ◽  
Nils Wedi

Abstract. Water bodies influence local weather and climate, especially in lake-rich areas. The FLake (Fresh-water Lake model) parameterisation is employed in the Integrated Forecasting System (IFS) of the European Centre for Medium-Range Weather Forecasts (ECMWF) model which is used operationally to produce global weather predictions. Lake depth and lake fraction are the main driving parameters in the FLake parameterisation. The lake parameter fields for the IFS should be global and realistic, because FLake runs over all the grid boxes, and then only lake-related results are used further. In this study new datasets and methods for generating lake fraction and lake depth fields for the IFS are proposed. The data include the new version of the Global Lake Database (GLDBv3) which contains depth estimates for unstudied lakes based on a geological approach, the General Bathymetric Chart of the Oceans and the Global Surface Water Explorer dataset which contains information on the spatial and temporal variability of surface water. The first new method suggested is a two-step lake fraction calculation; the first step is at 1 km grid resolution and the second is at the resolution of other grids in the IFS system. The second new method involves the use of a novel algorithm for ocean and inland water separation. This new algorithm may be used by anyone in the environmental modelling community. To assess the impact of using these innovations, in situ measurements of lake depth, lake water surface temperature and ice formation/disappearance dates for 27 lakes collected by the Finnish Environment Institute were used. A set of offline experiments driven by atmospheric forcing from the ECMWF ERA5 Reanalysis were carried out using the IFS HTESSEL land surface model. In terms of lake depth, the new dataset shows a much lower mean absolute error, bias and error standard deviation compared to the reference set-up. In terms of lake water surface temperature, the mean absolute error is reduced by 13.4 %, the bias by 12.5 % and the error standard deviation by 20.3 %. Seasonal verification of the mixed layer depth temperature and ice formation/disappearance dates revealed a cold bias in the meteorological forcing from ERA5. Spring, summer and autumn verification scores confirm an overall reduction in the surface water temperature errors. For winter, no statistically significant change in the ice formation/disappearance date errors was detected.


ARCTIC ◽  
1963 ◽  
Vol 16 (1) ◽  
pp. 26 ◽  
Author(s):  
Kirk H. Stone

Description and partial interpretation of the natural emptying of this ice-dammed lake in south-central Alaska. Regional and site characteristics, the 1951 observations and other emptyings since 1935 are described; and the age of the lake as evidenced by terracettes, willows, alders, and exposed deltas, is considered. When studied July 20, 1951, it was about 2-4 mi wide, 11-12 mi long, 114 ft deep, and dammed by Knik Glacier. In 12 days, the lake water had undercut the glacier ice and escaped, leaving three small, shallow lakes with 42 % less water surface. The drop in level (up to 12 in/hr) was accompanied by the rise of Knik River from 7 to nearly 20 ft depth, and flooding. A trend is noted toward earlier emptying and greater flooding.


2019 ◽  
Vol XII ◽  
pp. 1-1
Author(s):  
Zygmunt Miatkowski ◽  
Paweł Pepliński

The changes in area size and elevation of water surface of the Miedzno lake were studied in the paper. The study was carried out on the basis of the analysis of archival cartographic materials, technical documentations and published works. From the first half of the 19th century the Miedzno lake area was about 125 - 135 ha and the lake water level elevation approx. 85.0 m a.s.l. In the period from the mid-19th century to the 1990s the Miedzno lake water table elevation decreased to about 81.0 m a.s.l. and the lake surface area decreased to approx. 8-10 ha.


2019 ◽  
Vol 141 (10) ◽  
Author(s):  
Hairui Wang ◽  
Ning Zhang

In this study, a hydrodynamic and a salinity transport models were developed for simulations of Sabine Lake water system located on the Texas-Louisiana border. The target simulation area includes several major water bodies, such as Sabine Lake, Sabine River, Sabine Pass, Sabine Neches Canal (Ship Channel), and part of Gulf Intracoastal Waterway (GIWW) and Sabine River Diversion Canal (SRDC). The SRDC supplies fresh water to the area industry, mainly petrochemical. High salinity in SRDC could significantly affect the daily production of the industry. Two-dimensional (2D) depth-averaged shallow water equation set and 2D depth-averaged salinity transport equation were used for developing the hydrodynamic and salinity transport numerical models in order to carry out the simulation. The major purposes of this study are to calibrate and validate hydrodynamic and salinity transport models in order to assess and predict the salinity in SRDC under severe weather conditions such as hurricane storm surges in future study. Measurement data from National Oceanic and Atmospheric Administration (NOAA) and United States Geological Survey (USGS) were used to calibrate the boundary conditions as well as to validate the model. Boundary conditions were calibrated at locations in Sabine Pass and in the north edge of the lake by using water–surface elevation data. Hydrodynamic model was validated at the USGS location using water–surface elevation data. Then, the simulation estimations of water surface level and salinity were compared at three locations, and the results show the accuracy of the validated model. Parallel computing was conducted in this study as well, and computational efficiency was compared.


2016 ◽  
Vol 8 (3) ◽  
pp. 224-233 ◽  
Author(s):  
Shanlong Lu ◽  
Li Jia ◽  
Lei Zhang ◽  
Yongping Wei ◽  
Muhammad Hasan Ali Baig ◽  
...  

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