Spatio\|temporal variability of groundwater and land coverage in Qira oasis
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DOI:10.7606/j.issn.1000-7601.2020.06.27
Key Words: groundwater depth  land coverage  spatio\|temporal variability  K-means clustering  overlay analysis  desert oasis
Author NameAffiliation
GAO Yuting State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
Cele National Station of Observation and Research for Desert\|Grassland Ecosystems, Qira, Xinjiang 848300, China
University of Chinese Academy of Sciences, Beijing 100049, China 
YU Yang State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
Cele National Station of Observation and Research for Desert\|Grassland Ecosystems, Qira, Xinjiang 848300, China 
SUN Lingxiao State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
University of Chinese Academy of Sciences, Beijing 100049, China 
FAN Liufei State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
University of Chinese Academy of Sciences, Beijing 100049, China 
YU Ruide State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, Xinjiang 830011, China
University of Chinese Academy of Sciences, Beijing 100049, China
School of Environmental and Material Engineering, Yantai University, Yantai, Shandong 264005, China 
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Abstract:
      Qira oasis is a typical desert oasis in Xinjiang and groundwater is the key factor to maintain vegetation growth in the oasis and transition zone. In this paper, oasis irrigation area as the main body and spatio\|temporal variations of groundwater from 2008 to 2015 were taken as the main line, remote sensing, GS+ geostatistics, optimization K-means clustering and spatial overlay analysis were used to analyze the variations characteristics of groundwater and land coverage in oasis. The results indicated that: (1) The maximum variation of groundwater depth in oasis was well 11 (9.66 m). The minimum amplitude of variation was well 25 (0.1 m). The groundwater depth had obvious spatial auto\|correlation, and the space\|related distance was 11.852 km. The groundwater depth in the northeast of the oasis decreased significantly, the area of the descending area was 184.85 km2, accounting for 72% of the oasis area. (2) Through the K-means clustering on the groundwater depth of oasis, it was divided into four sub\|areas, among which the groundwater depth of the first and second clustering center all decreases. (3) From 2000 to 2015, the land cover type of oasis changed greatly, woodland area decreased significantly by 26.02 km2, while the grassland area increased by 11.15 km2, farmland expanded significantly in the northeastern area. (4) The groundwater burial depth of different land coverage types in oasis was: farmland > woodland > grassland.