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Model for calculating suitable scales of oases in a continental river basin located in an extremely arid region, China

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Abstract

The Keriya River Basin was chosen as the study site in this paper in order to investigate the suitable scales of natural and artificial oases with a certain water resource quantity. A calculation model was constructed and the suitable scales of natural and artificial oases were analyzed using remote sensing images, water resources, weather and socioeconomic data. The results showed that (1) high- and low-flow variations were apparent for the Keriya River. The mean values for the high-flow period, normal flow period and low-flow period were 9.23 × 108 m3, 7.177 × 108 m3 and 5.741 × 108 m3, respectively. (2) The ecological water demand of natural oasis in the lower reaches of the Keriya River Basin was 2.561 × 108 m3. (3) In the Tarim Basin, the proportion of natural and artificial oases was 6:4. (4) In the middle reaches, after guaranteeing the unchangeable scale of artificial oases, the most suitable size of a natural oasis was 798–1,157 km2. Under the reasonable proportion (i.e. proportion of 6:4 for the natural and artificial oases), the respective suitable scales of natural and artificial oases in the middle reaches were 831–1,003 km2 and 554–669 km2. This study constructed a model for calculating the suitable scale of an oasis, verified the suitable proportions of natural and artificial oases and discussed the reasonable scales of oases in order to provide a new theoretical basis for determining reasonable development planning in similar river basins located in extremely arid regions.

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Acknowledgments

This work was supported by the Science and technology plan projects of the xinjiang uygur autonomous region (201230117-01-02), National Natural Science Foundation of China (51209223, 31370551, 41171427 and 30970549).

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Correspondence to Hongbo Ling.

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Lei, Y., Li, X. & Ling, H. Model for calculating suitable scales of oases in a continental river basin located in an extremely arid region, China. Environ Earth Sci 73, 571–580 (2015). https://doi.org/10.1007/s12665-014-3328-0

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