High-resolution simulation of the spatial pattern of water use in continental China
文献类型：SCI/SSCI论文
| 作者 | Mao Y. N.; Ye, A. Z.; Liu, X. J.; Ma, F.; Deng, X. X.; Zhou, Z. |
| 发表日期 | 2016 |
| 关键词 | DTVGM discharge water use simulation China hydrological models climate-change calibration resources river availability construction irrigation validation basin |
| 英文摘要 | High-resolution data on the spatial pattern of water use are a prerequisite for appropriate and sustainable water management. Based on one well-validated hydrological model, the Distributed Time Variant Gains Model (DTVGM), this paper obtains reliable high-resolution spatial patterns of irrigation, industrial and domestic water use in continental China. During the validation periods, ranges of correlation coefficient (R) and Nash-Sutcliffe efficiency (NSE) coefficient are 0.67-0.96 and 0.51-0.84, respectively, between the observed and simulated streamflow of six hydrological stations, indicating model applicability to simulate the distribution of water use. The simulated water use quantities have relative errors (RE) less than 5% compared with the observed. In addition, the changes in streamflow discharge were also correctly simulated by our model, such as the Zhangjiafen station in the Hai River basin with a dramatic decrease in streamflow, and the Makou station in the Pearl River basin with no significant changes. These changes are combined results of basin available water resources and water use. The obtained high-resolution spatial pattern of water use could decrease uncertainty of hydrological simulation and guide water management efficiently. |
| 出处 | Hydrological Sciences Journal-Journal Des Sciences Hydrologiques |
| 卷 | 61 |
| 期 | 14 |
| 页 | 2626-2638 |
| 语种 | 英语 |
| ISSN号 | 0262-6667 |
| DOI标识 | 10.1080/02626667.2016.1153102 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/42765]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Mao Y. N.,Ye, A. Z.,Liu, X. J.,et al. High-resolution simulation of the spatial pattern of water use in continental China. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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