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Under the background of global warming, extreme flood disasters occur frequently, with a particularly significant impact on Xinjiang, which is located in arid and semi-arid regions. The risk of flood disasters in this region is significantly increased. In order to improve the flood disaster response capacity of Xinjiang Province, reduce losses caused by flood disasters, and provide an example for rivers in arid areas to respond to flood disasters, this paper selects Kushan River in Xinjiang to carry out flood process simulation research. Kushan River is located at the western edge of Tarim Basin in southern Xinjiang, which is a typical river in arid inland areas. This paper constructs a flood analysis and calculation model for the Kushan River, determines the key parameters and boundary conditions of the model. A typical flood is selected to validate the constructed model, and four indicators, absolute error (AE), relative error (RE), determination coefficient (R2), and Nash coefficient (NSE), are selected for model evaluation. The calculation results show that the average absolute error of water depth is 24.1 cm, the relative error is 24%, and the determination coefficient is 0.66. The Nash coefficient of flow is 0.86, and the determination coefficient reaches 0.97, indicating that the constructed model and parameter settings have high accuracy. Using high-precision river terrain, flood disaster risk survey results, remote sensing information, a basin data base is established to calculate the flood progression, inundation range, water depth distribution, and inundation duration of the Kushan River under five typical frequencies of 10 year, 20 year, 50 year, 100 year, and 200 year, achieving large-scale simulation of flood routing in arid areas of the entire basin. The research results can provide a technical basis for flood risk analysis of rivers in arid inland areas. [ABSTRACT FROM AUTHOR]

Layikeleke copper deposit is a large-scale porphyry copper polymetallic buried deposit, which has been discovered recently in the eastern Junggar area of Xinjiang. Mineralization occurred in the Late Silurian and Early Devonian with the copper body mainly confined to tonalite. To find new ore bodies, it is necessary to map the 3D spatial distribution of the tonalite. For this reason, we deployed audio-magnetotelluric (AMT) sounding in the research area, collected 26 profiles and 1198 measuring points, carried out 3D inversion calculations of off-diagonal elements in the impedance tensor data using the nonlinear conjugate gradient method, and obtained a 3D electrical structure model. The electrical structure reveals two groups of NW-SE trending middle and middle low resistivity anomaly zones, which intersect the high resistivity bedrock area in the northwest of the study area. Based on the electrical data, it can be inferred that the medium low resistance tonalite in the northern part of the study area is the host rock of the porphyry copper polymetallic deposit, which has been verified by borehole data. The results of 3D AMT inversion depict the spatial distribution and depth variation characteristics of the tonalite electrical structure model, providing a basis for further prospecting and exploration. Therefore, this method of identifying lithology by 3D inversion can provide an important basis for mineral exploration and mining of buried rock masses, and is an effective prospecting method. [ABSTRACT FROM AUTHOR]