Arid Zone Research ›› 2024, Vol. 41 ›› Issue (9): 1456-1467.doi: 10.13866/j.azr.2024.09.03

• The Third Xinjiang Scientific Expedition • Previous Articles     Next Articles

Evolution characteristics of spatial and temporal distribution pattern and driving force analysis of reservoirs in the economic zone on the north slope of Tianshan Mountains

WANG Ting1(), SHEN Ganhua2, LIU Bing1,3(), SUN Yinglin1, WANG Zaiguang4   

  1. 1. Colleye of Water Conservancy & Architectural Engineerring, Shihezi University, Shihezi 832000, Xinjiang, China
    2. Xinjiang Derun Economic Construction and Development Co. Ltd., Urumqi 830000, Xinjiang, China
    3. Key Laboratory of Cold and Arid Regions Eco-Hydraulic Engineering of Xinjiang Production & Construction Corps, Shihezi University, Shihezi 832000, Xinjiang, China
    4. Shihezi Tianxing Water Conservancy Survey and Design Institute, Shihezi 832000, Xinjiang, China
  • Received:2024-04-19 Revised:2024-06-03 Online:2024-09-15 Published:2024-09-25
  • Contact: LIU Bing E-mail:2496878250@qq.com;515441180@qq.com

Abstract:

The temporal continuity and spatial equilibrium of reservoir group construction in the north slope of the Tianshan Mountain Economic Belt was verified, by extracting the water area of each reservoir from the 1990-2020 remote sensing data. The variation process of reservoir quantity and storage capacity was also analyzed by combining statistical data. The Moran index was used to quantify the aggregation degree of reservoir spatial distribution, and geographically and temporally weighted regression was established to analyze the driving factors of the reservoir. The results showed that in the past 30 years, the reservoir water area in the study region first increased by 46.25% from 1990 to 2015 and then decreased by 1.63% from 2015 to 2020. The number of reservoirs and storage capacity enhanced by 64.94% and 71.06% respectively. From 1990 to 2020, the Moreland index of the reservoirs in each representative year was 0.81, 0.83, 0.79, 0.91, 0.66, 0.73, and 0.78, respectively, along with a positive correlation between the spatial distribution of the reservoirs. The high-value area of reservoir distribution was mainly concentrated in the agricultural irrigation region of the Kuitun River Basin, and the low-value area in the industrial region was represented by Urumqi City. The main factors affecting the variation in reservoir capacity were evaporation, rainfall, elevation, population, and GDP. Evaporation adversely affected storage capacity, and the effect of rainfall was not uniform in space. Altitude and population had a positive impact on the construction of the reservoir in the west section and a negative influence in the east section. The GDP had a positive association with reservoir construction in the eastern section and a part of the western section, but a negative correlation in the middle section. These results can provide a reference for reservoir planning, construction, and operation management in similar areas.

Key words: reservoir, temporal variation, spatial distribution characteristics, driving forces, geographically and temporally weighted regression