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Changes monitoring in Hongjiannao Lake from 1987 to 2023 using Google Earth Engine and analysis of climatic and anthropogenic forces

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dc.contributor.author Huq, Md. Enamul
dc.contributor.author Wu, Xijun
dc.contributor.author Javed, Akib
dc.contributor.author Dong, Ying
dc.contributor.author Li, Bingbing
dc.contributor.author Carr, David Lopez-
dc.contributor.author Wu, Jiang
dc.contributor.author Liu, Jing
dc.contributor.author Zhang, Yaning
dc.contributor.author Zhang, Fanping
dc.contributor.author Soufan, Walid
dc.contributor.author Almutairi, Khalid F.
dc.contributor.author Tariq, Aqil
dc.date.accessioned 2025-11-12T07:22:51Z
dc.date.available 2025-11-12T07:22:51Z
dc.date.issued 2024-12-24
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/15505
dc.description Article en_US
dc.description.abstract The research aimed to quantify the lake area dynamics, evaluate the changes in distance and rate of lake shorelines quantitatively and spatially and investigate the key factors influencing the Hongjiannao Lake (HL) area shrinkage. The study used remote sensing (RS) data from Landsat TM/ETM+ and OLI images and Google Earth Engine (GEE), a cloud platform for obtaining the lake surface area and island information from 1987 to 2023. A modified normalized difference water index (MNDWI) was applied to water area extraction. Digital Shoreline Analysis System (DSAS) was employed to assess net shoreline movement (NSM) and depict the lake shoreline length and rate changes. Furthermore, the water level was derived by ASTER GDEM V2 using the waterline method and lake boundaries. Six climatic features (temperature, precipitation, potential and actual evaporation, aridity index, and actual water difference) were investigated to find the driving factors of lake area shrinkage by correlation and factor analysis. The results reveal that during 1987–2023, the HL area has undergone four separate phases: stable (1987–1997), shrinkage (1998–2015), growth (2016–2019), and reduction (2020–2023). The most substantial negative change (−7.45%) in the HL area was observed in 1998. NSM analysis demonstrates that the lake has experienced both expansion and shrinkage at various times and locations. According to Water Balance Method, the water volume of HL exhibited variations, ranging from −0.1895 to −0.009 km³. The average yearly change in lake volume, water level, and area displayed similar characteristics with high inconstancy. Correlation and factor analysis of lake area and climatic factors demonstrate that higher precipitation, low temperatures, less potential evaporation level, lower actual evaporation rates, and more minor differences in water levels are associated with an increase in lake area. In contrast, the opposite conditions lead to a reduction in lake size. en_US
dc.language.iso en_US en_US
dc.publisher Scopus en_US
dc.subject Hongjiannao Lake (HL) en_US
dc.subject Lake area dynamics en_US
dc.subject Remote sensing (RS) en_US
dc.subject Google Earth Engine en_US
dc.title Changes monitoring in Hongjiannao Lake from 1987 to 2023 using Google Earth Engine and analysis of climatic and anthropogenic forces en_US
dc.type Article en_US


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