Abstract
For nearly 30 years, rapid urbanization has led to water resource shortage, which has worsened the relationship between humans and nature. The large amount of groundwater pumping in areas has caused the regional groundwater table to decline. Additional factors such as human activity and climate change seriously endanger the security of land and water resources. At present, the most prominent impact is water–salt imbalance in Xinjiang. For example, excessive soil salinization and land desertification are serious threats to local social harmony and stability. Therefore, it is important to carry out runoff simulation research in this arid region. Considering the strong influences of soil, climate, and human activities on water resources, it is indispensable to understand the effects of these components in water resources simulation. Based on the characteristic of soil salinity in Xinjiang, remote sensing technology provided large-scale and high-precision data for water resources simulation, and could make the simulation process and results closer to reality surface conditions. These research results show that remote sensing technology can provide data for a large-scale watershed lacking data in an arid region. In particular, high-resolution remote sensing image data are effective for ensuring simulation accuracy. Simulation accuracy was effectively improved with this mothed in SCS-CN and the SWAT model in this arid region.For nearly 30 years, rapid urbanization has led to water resource shortage, which has worsened the relationship between humans and nature. The large amount of groundwater pumping in areas has caused the regional groundwater table to decline. Additional factors such as human activity and climate change seriously endanger the security of land and water resources. At present, the most prominent impact is water–salt imbalance in Xinjiang. For example, excessive soil salinization and land desertification are serious threats to local social harmony and stability. Therefore, it is important to carry out runoff simulation research in this arid region. Considering the strong influences of soil, climate, and human activities on water resources, it is indispensable to understand the effects of these components in water resources simulation. Based on the characteristic of soil salinity in Xinjiang, remote sensing technology provided large-scale and high-precision data for water resources simulation, and could make the simulation process and results closer to reality surface conditions. These research results show that remote sensing technology can provide data for a large-scale watershed lacking data in an arid region. In particular, high-resolution remote sensing image data are effective for ensuring simulation accuracy. Simulation accuracy was effectively improved with this mothed in SCS-CN and the SWAT model in this arid region.
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Ahl RS, Woods SW, Zuuring HR (2008) Hydrologic calibration and validation of SWAT in a snow-dominated rocky mountain watershed, Montana, U.S.A. JAWRA J Am Water Resour Assoc 44(6):1411–1430
Ding JL, Qu J, Sun YM, Zhang YF (2013) The retrieval model of soil salinization information in arid region based on MSAVI-WI feature space: a case study of the delta oasis in Weigan-Kuqa watershed. Geogr Res 32(2):223–232
Hu LW, Wang XJ, Luo DG, Jiang Y (2007) Effect of sub-watershed partitioning on flow, sediment and nutrient predictions: case study in Fengle river watershed. Adv Water Sci 18(2):235–240 (in Chinese)
Huang QH, Zhang WC (2004) Improvement and application of GIS-based distributed SWAT hydrological modeling on high altitude, cold, semi-arid catchment of Heihe River basin, China. J Nanjing For Univ (Nat Sci Ed) 28(2):22–26 (in Chinese)
Li RK, Zhu AX, Qin CZ, Chen LJ, Liu JZ (2011) Effects of spatial detail of soil data on distributed hydrological modeling. Adv Water Sci 22(2):168–174 (in Chinese)
Luo Y, Sophocleous M (2011) Two-way coupling of unsaturated-saturated flow by integrating the SWAT and MODFLOW models with application in an irrigation district in arid region of West China. J Arid Land 3(3):164–173
Metternicht GI, Zinck JA (2003) Remote sensing of soil salinity: potentials and constraints. Remote Sens Environ 85(1):1–20
Mishra SK, Sahu RK, Eldho TI, Jain MK (2006) An improved Ia S relation incorporating antecedent moisture in SCS-CN methodology. Water Resour Manage 20(5):643–660
Ponce VM, Hawkins RH (1996) Runoff curve number: has it reached maturity? J Hydrol Eng 1(1):11–19
Toomanian N, Jalalian A, Khademi H, Eghbal MK, Papritzc A (2006) Pedodiversity and pedogenesis in Zayandeh-rud Valley, Central Iran. Geomorphology 81(3–4):376–393
Zhang Y, Liu SY (2006) Progress of the application of degree-day model to study glaciers and snow cover. J Glaciol Geocryol 28(1):101–107 (in Chinese)
Acknowledgements
This work was supported by the National Natural Science Foundation of China (No. 41771470 and No. 41961059), Xinjiang Uygur Autonomous Region Natural Science Foundation Youth Fund (No. 2018D01C067), Xinjiang Uygur Autonomous Region Education Department Tianchi Doctor Program (No. 2018-282), Xinjiang University Ph.D. Startup Fund (No. 620312342).
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Ding, J., Wang, J., Ma, L., Ma, W. (2020). Study on Water Resources Problems of Arid Areas Under the Influence of Urbanization. In: Wang, F., Prominski, M. (eds) Water-Related Urbanization and Locality. Springer, Singapore. https://doi.org/10.1007/978-981-15-3507-9_5
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