Variations in the lake area, water level, and water volume of Hongjiannao Lake during 1986–2018 based on Landsat and ASTER GDEM data
- 4 September 2019
- journal article
- research article
- Published by Springer Nature in Environmental Monitoring and Assessment
- Vol. 191 (10) , 1-25
Abstract
In this paper, 329 Landsat images combined with the Deeply Clear Water Extraction Index were applied to delineate boundaries of Hongjiannao Lake during 1986–2018. The net shoreline movement (NSM) and linear regression rate (LRR) achieved by Digital Shoreline Analysis System (DSAS) were employed to depict the distance and rate change of lake shorelines. Based on the waterline method and lake boundaries, the water levels were derived from ASTER GDEM V2. Water volume variations were evaluated using the combination of lake area and water level. The variations in Hongjiannao Lake can be grouped into three stages: (i) The lake area, water level, and volume variations slightly declined from 57.25 km2, 1211.15 m, and − 0.0220 km3 in 1986 to 56.36 km2, 1210.66 m, and − 0.036 km3 in 1997, respectively. The average degradation distance (NSM) and rate (LRR) of lake shorelines were 74.26 m and 3.48 m/a, respectively. Although these three aspects slightly decreased, they maintained a stable high level due to stability of natural factors. (ii) A rapid decrease in these three aspects during 1998–2015 was expressed by rates of − 1.15 km2/a (the total decrease was − 21.72 km2), − 0.18 m/a (the total decrease was − 3.45 m), and − 0.0068 km3/a (the total decrease was − 0.1419 km3), respectively. The average shrinkage distance (NSM) and rate (LRR) of lake boundaries were 1049.35 m and 55.00 m/a, respectively, and gradually intensifying human activities were the leading factor. (iii) These three aspects increased from 31.75 km2, 1207.03 m, and − 0.1852 km3 in 2016 to 36.19 km2, 1207.23 m, and − 0.1883 km3, respectively, in 2018. The average enlargement distance (NSM) and rate (LRR) of lake shorelines were 196.87 m and 67.85 m/a, respectively, mainly caused by closing of small mines, sluicing activities, and increase in annual precipitation.Keywords
Funding Information
- National Natural Science Foundation of China (41401496)
- Xi’an University of Science and Technology (No. 2019YQ3-04)
- Key Laboratory of Mine Geological Hazards Mechanism and Control (KF2018-04)
This publication has 34 references indexed in Scilit:
- Shoreline changes interpreted from multi-temporal aerial photographs and high resolution satellite images: Wotje Atoll, Marshall IslandsRemote Sensing of Environment, 2013
- A simple and effective method for filling gaps in Landsat ETM+ SLC-off imagesRemote Sensing of Environment, 2011
- A half‐century of changes in China's lakes: Global warming or human influence?Geophysical Research Letters, 2010
- Quantifying colocalization by correlation: The Pearson correlation coefficient is superior to the Mander's overlap coefficientCytometry Part A, 2010
- Satellite microwave remote sensing of North Eurasian inundation dynamics: development of coarse-resolution products and comparison with high-resolution synthetic aperture radar dataEnvironmental Research Letters, 2010
- Application of satellite remote sensing to coastal topography generation: case study of Chongming Island in Shanghai, ChinaJournal of Applied Remote Sensing, 2009
- Large-scale monitoring of snow cover and runoff simulation in Himalayan river basins using remote sensingRemote Sensing of Environment, 2009
- Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTMISPRS Journal of Photogrammetry and Remote Sensing, 2008
- A Geomatics Approach to Multitemporal Shoreline Analysis in Western Mediterranean: The Case of Platamona-Maritza Beach (Northwest Sardinia, Italy)Journal of Coastal Research, 2008
- Waterline extraction from Landsat TM data in a tidal flatA case study in Gomso Bay, KoreaRemote Sensing of Environment, 2002