Study on Water Resources Problems of Arid Areas Under the Influence of Urbanization

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.