%0 Dataset %T Experimental dataset of high salinity mine water pretreatment unit in Dahaize, Yulin City, Shaanxi Province (October November 2020) %J National Cryosphere Desert Data Center %I National Cryosphere Desert Data Center(www.ncdc.ac.cn) %U http://www.ncdc.ac.cn/portal/metadata/06e1852d-3867-4cca-b7d0-d6d4a104844e %W NCDC %R 10.12072/ncdc.UTCMW.db2123.2022 %A Zheng Xi %K Membrane flux;influent load;flushing intensity expansion rate;ultrafiltration membrane %X For the deep desalination treatment of high salinity mine water, it is necessary to use reverse osmosis (RO) membrane method to remove hardness, salinity, and other low concentration pollutants from the mine water. Due to the high water quality requirements of the reverse osmosis system, the SDI value of the sedimentation density index of the inlet water of the device needs to be This dataset was obtained using indoor experimental methods. The raw water was simulated high salinity mine water artificially prepared with tap water. The pretreatment device includes two parts: a porcelain sand filter column and an ultrafiltration device. The designed water volume is 0.5-1.0 m3/h, and the sand filter column is 1500 mm high with a diameter of 10 cm. The filtration flow direction is downward. Firstly, by comparing the physical and chemical properties and filtration performance of the three filter materials, the turbidity of the effluent and the change in the head loss of the filter column are obtained, which serve as the basis for selecting the porcelain sand filter material. The turbidity and head loss, as well as the optimal filtration rate data under different filter layer thicknesses, were obtained through experiments. The relationship between backwash strength, expansion rate, and flushing duration was also obtained, which serves as the basis for optimizing the operating parameters of the ceramic sand filter column. Secondly, by conducting ultrafiltration membrane operation experiments under different membrane fluxes, influent TDS concentrations, and temperature conditions, data on the changes in transmembrane pressure difference (TMP) during operation under different conditions were obtained, which served as the basis for optimizing the operating parameters of the ultrafiltration membrane. Finally, obtain the effluent turbidity and SDI value data under the conditions of simultaneous operation of porcelain sand filtration and ultrafiltration. The dataset contains a t