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Open AccessArticle

Gridded Water Resource Distribution Simulation for China Based on Third-Order Basin Data from 2002

by 1,2,*, 1,*, 1 and 1
1
Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China
2
Institute of Remote Sensing and Digital Earth, University of Chinese Academy of Sciences, Beijing 100101, China
*
Authors to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Sustainability 2016, 8(12), 1309; https://doi.org/10.3390/su8121309
Received: 16 October 2016 / Revised: 8 December 2016 / Accepted: 9 December 2016 / Published: 13 December 2016
Water resources are a key factor for regional sustainable development. However, the published water resource data in China is based on a large geographical scale, such as watershed units, and the data cannot reflect subtle differences in water resource distribution. The paper aimed to distribute water resources of the third-order basin of China into grid-cells of 1 km × 1 km. First, we used Moran’s I index to analyze the spatial pattern of water resources of the third-order basin. Second, we constructed a spatial autocorrelation model between water resources of third-order basins and the associated factors. Third, we applied the model to simulate the gridded water resource distribution and evaluated the simulation accuracy. The results indicated that significant spatial autocorrelation existed among the water resources of third-order basins. Northern China was the low-value clustering area of water resources and Southeast China was the high-value clustering area of water resources. Slope and precipitation were the main factors that influenced the amount of water resources. The simulating accuracy of water resource distribution was very high, apart from some extremely arid regions (Gurbantunggut Desert, Kumtag Desert, and Hexi Desert). On the whole, the gridded water resource distribution map was valid and was helpful for regional water resource management. View Full-Text
Keywords: water resources; data gridding; distribution simulation; Moran’s I index; spatial autocorrelation model; precipitation; evapotranspiration; land cover; slope water resources; data gridding; distribution simulation; Moran’s I index; spatial autocorrelation model; precipitation; evapotranspiration; land cover; slope
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MDPI and ACS Style

Tu, M.; Wang, F.; Zhou, Y.; Wang, S. Gridded Water Resource Distribution Simulation for China Based on Third-Order Basin Data from 2002. Sustainability 2016, 8, 1309.

AMA Style

Tu M, Wang F, Zhou Y, Wang S. Gridded Water Resource Distribution Simulation for China Based on Third-Order Basin Data from 2002. Sustainability. 2016; 8(12):1309.

Chicago/Turabian Style

Tu, Mingguang; Wang, Futao; Zhou, Yi; Wang, Shixin. 2016. "Gridded Water Resource Distribution Simulation for China Based on Third-Order Basin Data from 2002" Sustainability 8, no. 12: 1309.

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