scholarly journals Suitable oasis scales under a government plan in the Kaidu-Konqi River Basin of northwest arid region, China

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e4943
Author(s):  
Aihong Fu ◽  
Weihong Li ◽  
Yaning Chen ◽  
Yuting Liu

The Yanqi Basin and the Konqi River Basin of the Kaidu-Konqi River Basin were chosen as the study sites in this paper in order to investigate suitable scales of natural and artificial oases with a specified water resource and water quantity planned by the local government. Combined with remote-sensing images from 2013, water resources in 2013, 2025 and 2035, and weather and socioeconomic data, suitable scales of oases were analyzed. The results showed that: (1) The total available water quantities in the Yanqi Basin and the Konqi River Basin without river base flow, and the input of water into Bosten Lake and Tarim River, over high-, normal and low-flow periods, in 2025 and 2035, were 19.04 × 108 m3, 10.52 × 108 m3, 4.95 × 108 m3, 9.95 × 108 m3 and 9.95 × 108 m3, as well as 21.77 × 108 m3, 13.95 × 108 m3, 10.11 × 108 m3, 12.50 × 108 m3, and 9.74 × 108 m3. (2) The water demand of the natural oasis in the Yanqi Basin and the Konqi River Basin was 2.59 × 108 m3, and 4.59 × 108 m3, respectively. (3) The total water consumption of the artificial oasis in 2013, 2025, and 2035 were 10.51 × 108 m3, 10.99 × 108 m3 and 10.74 × 108 m3 in the Yanqi Basin, respectively, and 18.59 × 108 m3, 14.07 × 108 m3 and 13.30 × 108m3 in the Kongqi River Basin, respectively. (4) Under government planning, the optimal area in 2025 and 2035 should be 5,100.06 km2 and 5,096.15 km2 in the Yanqi Basin oases, and 6,008.53 km2 and 4,691.36 km2 in the Konqi River Basin oases, respectively, under the different inflow variations, and 4,972.71 km2 and 4,969.22 km2 in the Yanqi Basin oases, and 5,975.17 km2 and 4,665.67 km2 in the Kongqi River Basin oases, respectively, under the appropriate proportion. (5) The artificial oases in these basins should be greatly decreased in the future due to limited water resources.

2017 ◽  
Author(s):  
Aihong Fu ◽  
Weihong Li ◽  
Yaning Chen ◽  
Yuting Liu

The Kaidu-Konqi River Basin was chosen as the study site in this paper in order to investigate suitable scales of natural and artificial oases with a specified water resource and water quantity planned by the local government. Combined with remote-sensing images in 2013, water resources in 2013, 2020 and 2030, and weather and socioeconomic data, suitable scales of oases were analyzed. The results showed that: (1) The total available water quantities in the Yanqi Basin and the Konqi River Basin without river base flow, and the input of water into Bosten Lake and Tarim River, over high-, normal and low-flow periods, in 2020 and 2030, were 19.04×108m3, 10.52×108m3, 4.95×108m3, 9.95×108m3 and 9.95×108m3, as well as 21.77×108m3, 13.95×108m3, 10.11×108m3, 12.50×108m3, and 9.74×108m3. (2) The water demand of the natural oasis in the Yanqi Basin and the Konqi River Basin was 5.33×108m3, and 5.91×108m3, respectively. (3) The total water consumption of the artificial oasis in 2013, 2020, and 2030 were 18.16×108m3, 17.63×108m3 and 17.63×108m3 in the Yanqi Basin, respectively, and 17.11×108m3, 16.54×108m3 and 16.54×108m3 in the Konqi River Basin, respectively. (4) Under government planning, the optimal area in 2020 and 2030 should be 3198.98 km2 in the Yanqi Basin oases, and 3858.87 km2 and 3081.17 km2 in the Konqi River Basin oases, respectively, under the different inflow variations, and 3129.07 km2 in the Yanqi Basin oases, and 3834.58 km2 and 3061.78 km2 in the konqi River Basin oases, respectively, under the appropriate proportion. (5) The natural and artificial oases in these basins should be greatly decreased in the future due to limited water resources.


2017 ◽  
Author(s):  
Aihong Fu ◽  
Weihong Li ◽  
Yaning Chen ◽  
Yuting Liu

The Kaidu-Konqi River Basin was chosen as the study site in this paper in order to investigate suitable scales of natural and artificial oases with a specified water resource and water quantity planned by the local government. Combined with remote-sensing images in 2013, water resources in 2013, 2020 and 2030, and weather and socioeconomic data, suitable scales of oases were analyzed. The results showed that: (1) The total available water quantities in the Yanqi Basin and the Konqi River Basin without river base flow, and the input of water into Bosten Lake and Tarim River, over high-, normal and low-flow periods, in 2020 and 2030, were 19.04×108m3, 10.52×108m3, 4.95×108m3, 9.95×108m3 and 9.95×108m3, as well as 21.77×108m3, 13.95×108m3, 10.11×108m3, 12.50×108m3, and 9.74×108m3. (2) The water demand of the natural oasis in the Yanqi Basin and the Konqi River Basin was 5.33×108m3, and 5.91×108m3, respectively. (3) The total water consumption of the artificial oasis in 2013, 2020, and 2030 were 18.16×108m3, 17.63×108m3 and 17.63×108m3 in the Yanqi Basin, respectively, and 17.11×108m3, 16.54×108m3 and 16.54×108m3 in the Konqi River Basin, respectively. (4) Under government planning, the optimal area in 2020 and 2030 should be 3198.98 km2 in the Yanqi Basin oases, and 3858.87 km2 and 3081.17 km2 in the Konqi River Basin oases, respectively, under the different inflow variations, and 3129.07 km2 in the Yanqi Basin oases, and 3834.58 km2 and 3061.78 km2 in the konqi River Basin oases, respectively, under the appropriate proportion. (5) The natural and artificial oases in these basins should be greatly decreased in the future due to limited water resources.


2021 ◽  
Vol 13 (14) ◽  
pp. 7589
Author(s):  
Yang Yang ◽  
Shiwei Liu ◽  
Cunde Xiao ◽  
Cuiyang Feng ◽  
Chenyu Li

In Tarim River Basin (TRB), the retreat of glacier and snow cover reduction due to climate warming threatens the regional economy of downstream basins that critically depends on meltwater. However, the quantitative evaluation of its impact on multiple sectors of the socioeconomic system is incomplete. Based on compiled regional input–output table of the year 2012, this study developed a method to analyze the relationships between economic activities and related meltwater withdrawal, as well as sectoral transfer. The results show that the direct meltwater withdrawal intensity (DMWI) of agriculture was much higher than other sectors, reaching 2348.02 m3/10,000 CNY. Except for A01 (agriculture) and A02 (mining and washing of coal), the embodied meltwater withdrawal (EMW) driven by the final demand of other sectors was greater than direct meltwater withdrawal, and all sectors required inflows of virtual water (72.45 × 108 m3, accounting for 29% of total supply from cryospheric water resources) for their production processes in 2012. For sectors with high DMWI, improving water-use efficiency is an effective way to reduce water withdrawal. To some extent, the unbalanced supply of cryospheric water resources due to geographical segregation can be regulated by virtual water flows from water-saving to water-intensive sectors. Such decisions can affect the balance between socioeconomic development and environment conservation for long-term sustainability.


2014 ◽  
Vol 11 (11) ◽  
pp. 12659-12696 ◽  
Author(s):  
G. H. Fang ◽  
J. Yang ◽  
Y. N. Chen ◽  
C. Zammit

Abstract. Water resources are essential to the ecosystem and social economy in the desert and oasis of the arid Tarim River Basin, Northwest China, and expected to be vulnerable to climate change. Regional Climate Models (RCM) have been proved to provide more reliable results for regional impact study of climate change (e.g. on water resources) than GCM models. However, it is still necessary to apply bias correction before they are used for water resources research due to often considerable biases. In this paper, after a sensitivity analysis on input meteorological variables based on Sobol' method, we compared five precipitation correction methods and three temperature correction methods to the output of a RCM model with its application to the Kaidu River Basin, one of the headwaters of the Tarim River Basin. Precipitation correction methods include Linear Scaling (LS), LOCal Intensity scaling (LOCI), Power Transformation (PT), Distribution Mapping (DM) and Quantile Mapping (QM); and temperature correction methods include LS, VARIance scaling (VARI) and DM. These corrected precipitation and temperature were compared to the observed meteorological data, and then their impacts on streamflow were also compared by driving a distributed hydrologic model. The results show: (1) precipitation, temperature, solar radiation are sensitivity to streamflow while relative humidity and wind speed are not, (2) raw RCM simulations are heavily biased from observed meteorological data, which results in biases in the simulated streamflows, and all bias correction methods effectively improved theses simulations, (3) for precipitation, PT and QM methods performed equally best in correcting the frequency-based indices (e.g. SD, percentile values) while LOCI method performed best in terms of the time series based indices (e.g. Nash–Sutcliffe coefficient, R2), (4) for temperature, all bias correction methods performed equally well in correcting raw temperature. (5) For simulated streamflow, precipitation correction methods have more significant influence than temperature correction methods and the performances of streamflow simulations are consistent with these of corrected precipitation, i.e. PT and QM methods performed equally best in correcting flow duration curve and peak flow while LOCI method performed best in terms of the time series based indices. The case study is for an arid area in China based on a specific RCM and hydrologic model, but the methodology and some results can be applied to other area and other models.


Water ◽  
2018 ◽  
Vol 10 (4) ◽  
pp. 470 ◽  
Author(s):  
Peng Sun ◽  
Qiang Zhang ◽  
Rui Yao ◽  
Vijay Singh ◽  
Changqing Song

2018 ◽  
Vol 119 ◽  
pp. 243-252
Author(s):  
Xiu-Yu Zhang ◽  
Qi-Ting Zuo ◽  
Qi-Xiang Yang

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