气候变化领域集成服务门户(CCPortal): Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS

CCPortal

DOI	10.1016/j.rse.2020.111949
	Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS
	Wang S.; Li J.; Zhang B.; Lee Z.; Spyrakos E.; Feng L.; Liu C.; Zhao H.; Wu Y.; Zhu L.; Jia L.; Wan W.; Zhang F.; Shen Q.; Tyler A.N.; Zhang X.
发表日期	2020
ISSN	00344257
卷号	247
英文摘要	Water clarity is a well-established first-order indicator of water quality and has been used globally by water regulators in their monitoring and management programs. Assessments of water clarity in lakes over large temporal and spatial scales, however, are rare, limiting our understanding of its variability and the driven forces. In this study, we developed and validated a robust Secchi disk depth (ZSD) algorithm for lakes across China based on two water color parameters, namely Forel-Ule Index (FUI) and hue angle α, retrieved from MODIS data. The MODIS ZSD model shows good results when compared with in-situ measurements from 17 lakes, with a 27.4% mean relative difference (MRD) in the validation dataset. Compared with other empirical ZSD models, our FUI and α-based model demonstrates improved performance and adaptability over a wide range of water clarity and trophic states. This algorithm was subsequently applied to MODIS measurements to provide a comprehensive assessment of water clarity in large lakes (N = 153) across China for the first time. The mean summer ZSD of the studied lakes between 2000 and 2017 demonstrated marked spatial and temporal variations. Spatially, the ZSD of large lakes presented a distinct spatial pattern of “high west and low east” over China. This spatial pattern was found to be associated with the significant differences in lake depth and altitude between west and east China while China's population, GDP, temperature, and precipitation distribution have also contributed to a certain extent. Temporally, the ZSD of most lakes increased during this period, with an overall mean rate of 3.3 cm/yr for all lakes. Here, 38.6% (N = 59) of the lakes experienced a significant increase in their ZSD value during the past 18 years while only 8.5% (N = 13) showed a significant decreasing trend. Significant increases in lake ZSD were observed in west China, which were found to correlate with the increase of air temperature and lake surface area. This is possibly a response of the lakes in west China to climate change. In the lake systems of east China, which are predominately used as a drinking water source, the increase in lake ZSD was found to be strongly correlated with changes in local GDP (gross domestic production), NDVI (normalized difference vegetation index) and lake surface area, suggesting a combined effect of the implemented management practices and climatic variability. The results of this study provide important information for water quality conservation and management in China, and also highlight the value of satellite remote sensing in monitoring water quality over lakes at a large scale and long-term. © 2020 The Authors
英文关键词	FUI; Hue angle; Lakes and reservoirs; MODIS; Secchi disk depth; Water clarity changes
语种	英语
scopus关键词	Climate change; Color computer graphics; Lakes; Potable water; Radiometers; Remote sensing; Water quality; Comprehensive assessment; Gross domestic productions; Monitoring and management; Monitoring water quality; Normalized difference vegetation index; Precipitation distribution; Spatial and temporal variation; Temporal and spatial scale; Reservoirs (water); air temperature; algorithm; environmental assessment; environmental indicator; lake water; long-term change; model validation; MODIS; NDVI; numerical model; remote sensing; reservoir; satellite data; China
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179220
作者单位	School of Earth and Space Sciences, Peking University, Beijing, China; Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, Beijing, China; School for the Environment, University of Massachusetts Boston, Boston, MA, United States; Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, United Kingdom; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, China; Key Laboratory of Tibetan Environment Changes and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China; China Institute of Water Resources and Hydropower Research, Beijing, China; Environmental Monitoring Central Station of Heilongjiang Province, Harbin, China
推荐引用方式 GB/T 7714	Wang S.,Li J.,Zhang B.,et al. Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS[J],2020,247.
APA	Wang S..,Li J..,Zhang B..,Lee Z..,Spyrakos E..,...&Zhang X..(2020).Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS.Remote Sensing of Environment,247.
MLA	Wang S.,et al."Changes of water clarity in large lakes and reservoirs across China observed from long-term MODIS".Remote Sensing of Environment 247(2020).