Climate- and human-driven variations in lake area and number in North Xinjiang, China

Jie, Zhang; Zhou, Jing; Zhang, Guoqing; Ji, Yuanyuan; Zeng, Yanyan; Fan, Wei; Aikelamu, Ailihamu

doi:10.1080/01431161.2020.1809740

Cited by 16 publications

(8 citation statements)

References 50 publications

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“…Compared with the impact of climatic factors, the main reason for the reduction in Lake Ebinur area was interception of surface runoff. Since the early 1950s, the area of Lake Ebinur had changed with the population and farmland area of the basin (Zhang et al, 2015b;Zhang et al, 2017;Zhang et al, 2021): from the early 1970s to the mid-1990s, population and farmland growth was slow, the lake area changed slightly, and the lake area was basically maintained at about 600 km 2 except for dry years. At the beginning of the 21st Century, the population and farmland area increased significantly, resulting in a continuous degradation trend of the lake area, which reached its lowest value of 417.29 km 2 in 2015.…”

Section: Effects Of Human Activities On Lake Areamentioning

confidence: 99%

Expansion of typical lakes in Xinjiang under the combined effects of climate change and human activities

Wang

Jiao²,

Shan³

et al. 2022

Front. Environ. Sci.

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Lakes are important guarantees of regional economic development and ecological security. Previous studies focused on trends of surface area and water level of lakes in Xinjiang, but paid less attention to nonlinear change and driving mechanisms of lake areas at annual and monthly scales. To address this issue, this study used a remote-sensing Big Data cloud platform and mathematical statistical methods to investigate the change in typical lakes and its attribution in Xinjiang during 1986–2020. The results showed that: 1) there was a significant linear trend in Xinjiang lakes: except for Jili Lake, the plains lakes showed an insignificant (p > 0.1) expansion trend, while the mountain lakes showed an significant expansion trend (p < 0.01). 2) There was a significant nonlinear trend in Xinjiang lakes: most of the plains lakes showed periodicity at 14 and 21 years, however most of the mountain lakes showed periodicity at 17 and 21 years. Most of the mutation trends of plains lakes were not significant, yet the mutation trends of mountain lakes showed significant expansion. 3) Human activities were the dominant factor leading to changes in the plains lakes: among the anthropogenic factors, farmland area, GDP, and population had significant effects on lake area (p < 0.1), and lake expansion was closely related to population and farmland area. Among climatic elements, precipitation mainly affected the changes in plains lakes. 4) Climate change was the dominant factor leading to changes in mountain lakes. The effects of temperature change on mountain lakes were all significantly positive (p < 0.05). In the future, it will be necessary to build lake protection schemes that adapt to climate change and human disturbances. This study can provide an important scientific basis for the rational development and utilization of lakes in Xinjiang.

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Section: Effects Of Human Activities On Lake Areamentioning

confidence: 99%

Expansion of typical lakes in Xinjiang under the combined effects of climate change and human activities

Wang

Jiao²,

Shan³

et al. 2022

Front. Environ. Sci.

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“…The southeastern monsoon provides the water vapor for the P around the Qilian Mountains [37]. Surface water bodies (e.g., rivers and lakes) are generally expanding to accommodate the growth of P and/or glacier meltwater [26,[38][39][40][41].…”

Section: A Study Regionmentioning

confidence: 99%

“…The NWC region has been getting warmer and wetter in recent decades [19], which is widely manifested as P growth [33,64], increasing ET [31], lake expansion [40,41,65], glacier shrinkages [25,38], runoff increase [25], and so on. Despite the obvious growth of surface water bodies (runoff and lake volume) and P, the TWS has been generally decreasing in Xinjiang and the Hexi Corridor during 2002-2020 (Table 2, Fig.…”

Section: A Regional Comparison Of Twsa Variationmentioning

confidence: 99%

Regional Characteristics and Impact Factors of Change in Terrestrial Water Storage in Northwestern China From 2002 to 2020

Yin

Wei

2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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This study characterized the linear trends and interannual signals of terrestrial water storage (TWS) and meteorological variables including precipitation (P) and evapotranspiration (ET) over the arid Northwestern China (NWC). The relative impaction of P, ET, and human water utilization (HU) on TWS variation among the 10 watersheds of NWC (i.e., 5 watersheds in Xinjiang, 3 watersheds in Hexi Corridor, and 2 watersheds in Qinghai) were then investigated. The result indicated that Groundwater storage (GWS) was the main contributor to the TWS variation and matched well with TWS in spatial features or watershed-scale variations. The entire NWC presented growth trends for P (0.05 cm/year) and ET (0.22 cm/year) and decline trends for TWS (-0.19 cm/year) and GWS (-0.20 cm/year). The watersheds in Qinghai province where mainly affected by natural factors showed the increasing TWS/GWS trend. The watersheds in Xinjiang and Hexi Corridor which had strong impact from human activities generally showed the declining TWS/GWS trends, but Xinjiang showed more intensive declining trend than Hexi Corridor. The analysis of HU indicated that water sustainable management and water-saving technologies had effectively kept down the tendency of TWS/GWS declining in the watersheds in Hexi Corridor, however, they were not sufficient to address the water shortage caused by farmland expansion, slight P growth, and high ET growth in Xinjiang. Groundwater use, as the main source to compensate for the increase in HU (especially agricultural water use), exacerbated TWS/GWS loss in Xinjiang. This study provides valuable information for the water management over the arid Northwestern China.

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“…Our study area includes the Bortala River basin, the Jing River basin and the adjacent wetland of Lake Ebunur, and parts of the Kuitun River basin extending from 4°20’N to 45°23’N and 79°53’E to 83°53’E; the area is located in the arid inland region of northwest China [ 31 ]. The total area of the study area is 50 000 km 2 and includes the Mongolian autonomous prefecture of Bortala and part of the city of Kuitun in the Xinjiang Uygur autonomous region, China [ 32 ]. Average July and January temperatures in the basin are about 27.3°C and -17.2°C, respectively, and average annual precipitation ranges from 89 to 169 mm, indicating a typical dry continental climate [ 33 ].…”

Section: Study Area Datasetmentioning

confidence: 99%

Quantifying the effects of human activities and climate variability on runoff changes using variable infiltration capacity model

2022

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Detecting and assessing changes in the hydrologic cycle and its response to a changing environment is essential for maintaining regional ecological security and restoring degraded ecosystems. There is no clear scientific evidence on the effects of human activities and climate variability on runoff and its components in typical arid areas. Therefore, in this study, a heuristic segmentation algorithm, a variable infiltration capacity model (VIC), and remote sensing data to quantify the effects of human activities and climate variability on runoff in the catchment of Lake Ebinur, Xinjiang, China. The results found: (1) The heuristic segmentation algorithm divided the study period into reference period (1964–1985) and two impact periods: I (1986–2000) and II (2001–2017). (2) Cropland and forest land showed an increasing trend, with grassland and barren land accounting for most of the increase. At the same time, the leaf area index (LAI) increased by 0.002 per year during the growing season. (3) Compared with the reference period, runoff depth decreased by 108.80 mm in impact period I due to human activities, but increased by 110.5 mm due to climate variability, resulting in an overall increase in runoff depth of 1.72 mm. Runoff depth increased by 11.10 mm in the impact period II compared to the reference period, with climate variability resulting in an increase of 154.40 mm, but human activities resulted in a decrease of 143.30 mm. Our results shed light on decision-making related to water stress in changing circumstances in arid regions.

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Climate- and human-driven variations in lake area and number in North Xinjiang, China

Cited by 16 publications

References 50 publications

Expansion of typical lakes in Xinjiang under the combined effects of climate change and human activities

Expansion of typical lakes in Xinjiang under the combined effects of climate change and human activities

Regional Characteristics and Impact Factors of Change in Terrestrial Water Storage in Northwestern China From 2002 to 2020

Quantifying the effects of human activities and climate variability on runoff changes using variable infiltration capacity model

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