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DOI	10.1016/j.scitotenv.2021.149034
	Accuracy assessment of remotely sensed data to analyze lake water balance in semi-arid region
	Bhattacharjee, Joy; Rabbil, Mehedi; Fazel, Nasim; Darabi, Hamid; Choubin, Bahram; Khan, Md. Motiur Rahman; Marttila, Hannu; Haghighi, Ali Torabi
通讯作者	Bhattacharjee, J (corresponding author), Univ Oulu, Water Energy & Environm Engn Res Unit, POB 4300, Oulu 90014, Finland.
来源期刊	SCIENCE OF THE TOTAL ENVIRONMENT
ISSN	0048-9697
EISSN	1879-1026
出版年	2021
卷号	797
英文摘要	Lake water level fluctuation is a function of hydro-meteorological components, namely input, and output to the system. The combination of these components from in-situ and remote sensing sources has been used in this study to define multiple scenarios, which are the major explanatory pathways to assess lake water levels. The goal is to analyze each scenario through the application of the water balance equation to simulate lake water levels. The largest lake in Iran, Lake Urmia, has been selected in this study as it needs a great deal of attention in terms of water management issues. We ran a monthly water balance simulation of nineteen scenarios for Lake Urmia from 2003 to 2007 by applying different combinations of data, including observed and remotely sensed water level, flow, evaporation, and rainfall. We used readily available water level data from Hydrosat, Hydroweb, and DAHITI platforms; evapotranspiration from MODIS and rainfall from TRMM. The analysis suggests that the consideration of field data in the algorithm as the initial water level can reproduce the fluctuation of Lake Urmia water level in the best way. The scenario that combines in-situ meteorological components is the closest match to the observed water level of Lake Urmia. Almost all scenarios showed good dynamics with the field water level, but we found that nine out of nineteen scenarios did not vary significantly in terms of dynamics. The results also reveal that, even without any field data, the proposed scenario, which consists entirely of remote sensing components, is capable of estimating water level fluctuation in a lake. The analysis also explains the necessity of using proper data sources to act on water regulations and managerial decisions to understand the temporal phenomenon not only for Lake Urmia but also for other lakes in semi-arid regions. (c) 2021 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
英文关键词	Inland water Scenario Water management Meteorological data
类型	Article
语种	英语
开放获取类型	Green Published, hybrid
收录类别	SCI-E
WOS记录号	WOS:000701204400001
WOS关键词	LEVEL FLUCTUATIONS ; URMIA LAKE ; CLIMATE ; SENSITIVITY ; RAINFALL ; STRATEGIES ; BASIN
WOS类目	Environmental Sciences
WOS研究方向	Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364586
作者单位	[Bhattacharjee, Joy; Rabbil, Mehedi; Fazel, Nasim; Darabi, Hamid; Khan, Md. Motiur Rahman; Marttila, Hannu; Haghighi, Ali Torabi] Univ Oulu, Water Energy & Environm Engn Res Unit, POB 4300, FI-90014 Oulu, Finland; [Fazel, Nasim] Finnish Environm Inst SYKE, Freshwater Ctr, Helsinki, Finland; [Choubin, Bahram] AREEO, West Azarbaijan Agr & Nat Resources Res & Educ Ct, Soil Conservat & Watershed Management Res Dept, Orumiyeh, Iran
推荐引用方式 GB/T 7714	Bhattacharjee, Joy,Rabbil, Mehedi,Fazel, Nasim,et al. Accuracy assessment of remotely sensed data to analyze lake water balance in semi-arid region[J],2021,797.
APA	Bhattacharjee, Joy.,Rabbil, Mehedi.,Fazel, Nasim.,Darabi, Hamid.,Choubin, Bahram.,...&Haghighi, Ali Torabi.(2021).Accuracy assessment of remotely sensed data to analyze lake water balance in semi-arid region.SCIENCE OF THE TOTAL ENVIRONMENT,797.
MLA	Bhattacharjee, Joy,et al."Accuracy assessment of remotely sensed data to analyze lake water balance in semi-arid region".SCIENCE OF THE TOTAL ENVIRONMENT 797(2021).