Variations in lake water storage over Inner Mongolia during recent three decades based on multi-mission satellites

Gun, Zhao; Xu, Yuyue; Xing, Cheng

doi:10.1016/j.jhydrol.2022.127719

Cited by 30 publications

(10 citation statements)

References 67 publications

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“…Larger disparities in long‐term trends are also observed in the MP and YG from 2001 to 2018. While the FLake model underestimated the warming trend of LSWT in the MP, potentially influenced by human activities (Xu et al., 2022), this discrepancy does not prevent us from understanding how climate change could have affected LSWT given its wide application in exploring the mechanisms of LSWT changes and high performance in reproducing the magnitude and the inter‐annual variations in LSWT (Figure 2). The deviation between observations and simulations in the YG may be related to the frequent absence of LSWT observations during rainy season (Figure S4 in Supporting Information ).…”

Section: Discussionmentioning

confidence: 98%

Attribution of Lake Surface Water Temperature Change in Large Lakes Across China Over Past Four Decades

Huang,

Wang,

Yan

et al. 2023

JGR Atmospheres

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Lake surface water temperature (LSWT) is a key parameter in lake energy budget and is highly vulnerable to climate change. However, the long‐term trends in LSWT across China and their driving factors remain uncertain. Here, we used a calibrated lake model to simulate LSWT over 1979–2018 for 91 large lakes (>100 km2) across China. Simulations reveal an overall LSWT warming trend (0.040°C yr−1, p < 0.05), but with large spatial variations. The majority of these lakes show significant warming trends (84%, 0.053°C yr−1), while a significant cooling trend is found in the seven lakes in the northwestern Tibetan Plateau (−0.064°C yr−1). LSWT of approximately 42% of the lakes increases more rapidly than the corresponding ambient air temperature. Regionally, the warming trend is highest for lakes in the Eastern Plain (0.049°C yr−1) and the lowest in the Yunnan‐Guizhou Plateau (0.016°C yr−1). The increases in simulated LSWT also vary across seasons, with a higher rate in winter and spring than in summer and autumn. Changes in air temperature, downward longwave radiation, and wind speed are the most important climatic drivers for LSWT changes. Lake surface warming could be more rapid under future global warming, necessitating greater attention to lake‐atmosphere interactions.

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Section: Discussionmentioning

confidence: 98%

Attribution of Lake Surface Water Temperature Change in Large Lakes Across China Over Past Four Decades

Huang,

Wang,

Yan

et al. 2023

JGR Atmospheres

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“…These data sets were returned to the background model, and glacial isostatic adjustment (GIA) correction was applied. All processed data are presented as anomalies relative to the time‐mean baseline of the period from January 2005 to December 2010, and the time‐variable gravity field is shown in the form of the equivalent‐water‐thickness that represents the TWSA (Liu et al., 2023; Xu et al., 2020; Yin et al., 2021). Each grid has multiplied by the corresponding scale factor to reduce the introduction of uncertainty (Swenson & Wahr et al., 2006).…”

Section: Methodsmentioning

confidence: 99%

“…Climate change is crucial to the changes in water storage by regulating the hydrological cycle, which was selected as an influencing factor in many studies (Sun et al, 2020;Xie et al, 2019;Xu et al, 2022;Zhang et al, 2021aZhang et al, , 2021b. To investigate the effect of precipitation on TWS before and after SNWDP-ER1 was implemented, we used annual average precipitation values of 818.58 mm in P1 and 710.65 mm in P2.…”

Section: Effect Of Hydroclimatic Variability and Ndvi On Twsamentioning

confidence: 99%

Continuing Severe Water Shortage in the Water‐Receiving Area of the South‐To‐North Water Diversion Eastern Route Project From 2002 to 2020

Xu,

Gun,

Zhao

et al. 2023

Water Resources Research

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The water‐receiving area of the South‐to‐North Water Diversion Eastern Route Project (SNWDP‐ER) is one of the most severely affected water‐shortage areas in China, and no previous study has been conducted on the changes in water storage in this area. In this study, we combined the latest Gravity Recovery and Climate Experiment (GRACE) And GRACE Follow‐On products with global models for the first time to analyze changes in water storages in this area from 2002 to 2020, and to investigate the effects of climate change and human activity on changes in water storage. We found that SNWDP‐ER aided the recovery of surface water (nongroundwater) with a recovery rate of 9.44 ± 1.65 mm/yr after its implementation, but had little effect on the recovery of groundwater and terrestrial water storage in the water‐receiving area. Before the SNWDP‐ER was implemented, the rates of decrease of groundwater and terrestrial water storage were only −1.59 ± 0.58 and −5.18 ± 0.75 mm/yr, respectively. After implementation, the rates of decrease of groundwater and terrestrial water storage were −17.7 ± 1.27 and −8.16 ± 1.18 mm/yr, respectively. Groundwater decline, accelerated by human activity and climate change, has led to an accelerated decline in terrestrial water storage. Effects of SNWDP‐ER and stringent policies reducing groundwater use, along with largely increased precipitation in North China on groundwater storage after year 2020 need to be examined in the future. Our results have important implications for the management and evaluation of SNWDP‐ER.

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“…In this study, we found that 20.32% of the cropland in Inner Mongolia has been converted to grassland, while only 4.65% of the grassland has been turned into cropland, and the proportion of new artificial land has reached 38.66%. Xu et al [27] found that the water storage of tectonic lakes continues to decline, but the water storage of oxbow lakes has not changed significantly in Inner Mongolia over the past 30 years. The area of water bodies in this study increased by 0.91%, which may be attributed to the decrease in irrigation water for cropland and the increase in precipitation.…”

Section: Lucc Npp and Socmentioning

confidence: 99%

Evaluation of Land Degradation Neutrality in Inner Mongolia Combined with Ecosystem Services

Yuan

Cheng

et al. 2022

Land

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Currently, the internationally recognized land degradation neutrality (LDN) effort is evaluated using three indicators: land use/cover, land productivity, and carbon stocks. However, these three indicators may not completely capture the factors influencing LDN, and some evaluation rules are not in line with the land restoration goals of China. Therefore, this study introduces the ecosystem service value (ESV) indicator, assesses the differences in connotation and evaluation methods between ESV and LDN, and puts forward an evaluation rule that integrates their advantages, so as to carry out an evaluation of LDN in Inner Mongolia. The conclusions are as follows: (a) The ESVs of the Inner Mongolia Autonomous Region in 2000, 2005, 2010, 2015, and 2020 were USD 287.49, 286.04, 285.72, 286.38, and 287.90 billion, respectively, which presents a slight trend of decrease and then increase over time. (b) The modified LDN evaluation rule mainly includes the following changes to the LUCC evaluation rule: (1) the original degradation of cropland to grassland is considered as restoration, (2) water bodies participate in the transformation evaluation between land use types, and (3) the evaluation of transformed secondary land use types is added. The evaluation of net primary productivity (NPP) and soil organic carbon (SOC) still follow the method formulated by the United Nations Convention to Combat Desertification (UNCCD). (c) The proportion of degraded, stable, and restored land area within the LUCC were 11.31%, 77.34%, and 11.35%, respectively. The proportion of restored area is greater than the proportion of degraded land, which indicates that LDN has been achieved in Inner Mongolia according to the LUCC evaluation. The areas of degradation, stability, and restoration for NPP accounted for 0.10%, 40.52%, and 59.38% of the total area, respectively, with the restored area being much larger than the degraded area. The areas of SOC degradation, stability, and restoration accounted for 13.06%, 74.82%, and 12.11% of the total area, respectively, and the degraded area was slightly larger than the restored area. (d) The LDN evaluation results showed that the proportions of degraded, stable, and restored areas were 21.80%, 27.25%, and 50.96%, respectively. From these results, it is clear that Inner Mongolia has achieved the LDN target. Compared with the rules formulated by the UNCCD, for the LDN evaluation results implementing the modified rule, the proportion of degraded land increased by 2.44%, the proportion of stable land decreased by 1.52%, and the proportion of restored land decreased by 0.92%. In the future, Inner Mongolia should strengthen the implementation of a series of ecological restoration projects to obtain greater ecological benefits.

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Variations in lake water storage over Inner Mongolia during recent three decades based on multi-mission satellites

Cited by 30 publications

References 67 publications

Attribution of Lake Surface Water Temperature Change in Large Lakes Across China Over Past Four Decades

Attribution of Lake Surface Water Temperature Change in Large Lakes Across China Over Past Four Decades

Continuing Severe Water Shortage in the Water‐Receiving Area of the South‐To‐North Water Diversion Eastern Route Project From 2002 to 2020

Evaluation of Land Degradation Neutrality in Inner Mongolia Combined with Ecosystem Services

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