Changes in Lake Area in Response to Climatic Forcing in the Endorheic Hongjian Lake Basin, China

Liang, Kang; Li, Yanzhong

doi:10.3390/rs11243046

Cited by 10 publications

(14 citation statements)

References 61 publications

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“…This study provides a valuable supplement to these previous studies and can address the gaps in simulating detailed hydrologic processes related to lakes. In the HJN watershed, previous studies identified precipitation and evaporation (or temperature) as the meteorological driving factors influencing lake variations [68][69][70], and surface runoff and evaporation were identified as the hydrologic driving factors [30]. These results were consistent with the annual mass balance in our study.…”

Section: Comparison With Previous Studiessupporting

confidence: 91%

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Analysis of Detailed Lake Variations and Associated Hydrologic Driving Factors in a Semi-Arid Ungauged Closed Watershed

et al. 2023

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Lakes are key factors in maintaining ecosystems in semi-arid regions. However, due to data shortage, most studies used remote-sensing data and water-balance models to analyze lake variations in semi-arid ungauged closed watersheds, resulting in the oversimplified assessment of lake variations and their associated hydrologic processes. This study aimed to enhance the understanding of the mechanisms behind the water supplement and consumption of lakes and reveal the influences of hydrological processes on lake variations in such watersheds. Physically based and lake-oriented hydrologic modeling, remote-sensing technology, and results from previous studies were comprehensively integrated to achieve the research objective. The Hongjiannao (HJN) watershed in Northwest China was selected as the study area of this research. The calibration and validation results demonstrated that remote-sensing data and results from previous studies indeed guaranteed the accuracy of the lake-oriented model. Further hydrologic and statistical analyses revealed the linkage between lake variations and their associated hydrologic processes, and the mechanisms behind the linkage. Specifically, rainfall and snowmelt were found to be the most stable sources of HJN Lake, particularly in dry years. Due to the differences in recession rates, groundwater inflow was more stable than upstream inflow and inflow from the contributing area of HJN Lake. The correlations between hydrologic processes and the storage variation of HJN Lake varied significantly at daily and monthly time scales, which can be explained by the generation mechanisms of these processes. This study provided valuable guidance for water resources management and ecosystem protection in the HJN watershed and can be further applied for hydrologic simulations in other similar watersheds.

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Section: Comparison With Previous Studiessupporting

confidence: 91%

“…Liang and Li (2019) [69] reported that precipitation and ET had a positive and negative correlation, respectively, with the area of HJN Lake. The coefficient of correlation varied at monthly, seasonal, and annual time scales.…”

Section: Comparison With Previous Studiesmentioning

confidence: 99%

Analysis of Detailed Lake Variations and Associated Hydrologic Driving Factors in a Semi-Arid Ungauged Closed Watershed

et al. 2023

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“…Liang et al (2017), Li (2020), and Wang(2018b) found that severe human activity, as well as climate warming, lead to a fast decrease in the area of Hongjiannao Lake in 1999-2015. When considering time lag, the correlation coefficient between climatic factors and human activities significantly increased (Liang and Li, 2019). Yue and Liu (2019a) used a ridge regression method to establish a regression model between lake area, water level, lake volume variations, and influencing factors.…”

Section: Discussionmentioning

confidence: 99%

“…Various studies have been put forward to analyze the changes of the lake area, water level, and lake volume and the dynamics to climate change and human activities by using remote sensing techniques and hydrological models (Ma et al, 2014;Liang, 2019;Liang and Yan, 2017;Yan et al, 2018;Wang et al, 2018a;Zhao et al, 2018;Liang and Li, 2019;Yue and Liu, 2019). Indeed, Hongjiannao Lake has been largely neglected in hydrological research, as it receives less attention and lacks management compared with large lakes and reservoirs which have traditionally been managed and monitored.…”

Section: Introductionmentioning

confidence: 99%

Water balance and influence mechanism analysis: a case study of Hongjiannao Lake, China

Yue

Liu

2021

Environ Monit Assess

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Hongjiannao groundwater exchange was the largest desert freshwater lake in China (57.25 km 2 in 1986). However, it shrank sharply over the past 34a (1986-2019), with the smallest lake area 31.41 km 2 in 2015. The objective of this study was to use the Landsat images, ASTER GDEM V2 data, and meteorology and statistics data, in combination with the water balance model to calculate the dynamics of water balance elements, quantify and characterize the interannual variations in lakegroundwater exchanges, and analyzed its influencing factors by using the geographical detector. The results showed that in the stable stage (1986-1997), the average rate of the lake area, water level, and lake volume change was-0.26 km 2 /a,-0.0483 m/a, and-0.0009 km 3 /a, respectively. Precipitation, river inflow, and groundwater were 0.0203 km 3 , 0.0485 km 3 , and 0.0098 km 3 , which accounts for the whole input were 25.83%, 61.70%, and 12.47%, respectively, evaporation was 0.0786 km 3. In the reduction stage (1998-2015), the average rate of the lake area, water level, and lake volume change was-1.21 km 2 /a,-0.2422 m/a, and-0.0101 km 3 /a, respectively. Before 2006, precipitation, river inflow, and groundwater were 0.0154 km 3 , 0.0475 km 3 , and-0.0025 km 3 , respectively; from 2006 to 2009, precipitation, river inflow, and groundwater were 0.0143 km 3 , 0.0334 km 3 , and 0.0058 km 3 , respectively; after 2009, precipitation, river inflow, and groundwater were 0.0139 km 3 , 0.0199 km 3 , and 0.0085 km 3 , respectively. Evaporation decreased from 0.0714 km 3 to 0.0480 km 3 from 1998 to 2015. In the growth stage (2016-2019), the average rate of the lake area, water level, and lake volume change were 1.38 km 2 /a, 0.27 m/a, and 0.0088 km 3 /a, respectively. Precipitation, river inflow, and groundwater were 0.0209 km 3 , 0.0005 km 3 , and 0.0373 km 3 , which accounts for the whole input were 46.63 %, 52.12 %, and 1.25 %, respectively, evaporation was 0.0187 km 3. Compared with the stable stage, groundwater in the growth stage reduced from 12.47 % (0.0098 km 3) to only 1.25 % (0.0005 km 3). From 1998 to 2004, Hongjiannao Lake experienced continuous losing conditions (discharge from the lake to groundwater), with a variable exchange volume of up to-0.01582 km 3 in 1999. Through geographical detector analysis, it was found that temperature was the dominant factor from 1988 to 1997, while human factors were the dominant factors from1998 to 2015.

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“…5). Two physical features prevail: lake water extent (Buma et al 2018; Liang and Li 2019; Nitze et al 2020; Bai et al 2021; Chowdhury et al 2021; Zhang et al 2021), and ice cover (Sun et al 2018; Wang et al 2018; Carrea et al 2023). However, during the last years few studies use EO also to address ecological shifts.…”

Section: Resultsmentioning

confidence: 99%

Detecting climate‐related shifts in lakes: A review of the use of satellite Earth Observation

Calamita,

Lever,

Albergel

et al. 2024

Limnology & Oceanography

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Climate change exerts a profound impact on lakes, eliciting responses that range from gradual to abrupt transitions. When reaching critical tipping points, the established lake dynamics stand to undergo substantial modifications, setting off a chain reaction that reverberates through the entire ecosystem. This lake shift ripples into related ecosystem services and even influences the well‐being of human communities. Despite the importance of lake shifts, we lack a systematic overview of their occurrence, mainly due to the lack of systematic data at the global scale. We reviewed the literature focusing on climate‐related lake shifts and assessed how satellite Earth Observation (EO) has contributed to the research topic, and what we can unlock from this novel data. Our results show that EO data are used in only 9% of studies on lake shifts, although this fraction has increased since 2012. EO data is most commonly used to assess shifts in surface extent, ice coverage, or phytoplankton phenology. These variables are directly observable and the spatio‐temporal resolution of EO satellites is of great advantage. But lake shifts can also be identified indirectly from EO data, as in the example of the vertical mixing of lake water, which can be described on the basis of surface patterns. In all possible applications, we expect increasing use of EO satellites in the future, including the development of early warning systems that promise to provide timely alerts regarding impending lake shifts, thus serving as a vanguard against abrupt alterations that could ripple through interconnected ecosystem services.

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Changes in Lake Area in Response to Climatic Forcing in the Endorheic Hongjian Lake Basin, China

Cited by 10 publications

References 61 publications

Analysis of Detailed Lake Variations and Associated Hydrologic Driving Factors in a Semi-Arid Ungauged Closed Watershed

Analysis of Detailed Lake Variations and Associated Hydrologic Driving Factors in a Semi-Arid Ungauged Closed Watershed

Water balance and influence mechanism analysis: a case study of Hongjiannao Lake, China

Detecting climate‐related shifts in lakes: A review of the use of satellite Earth Observation

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