Abstract. Snowmelt is a major fresh water resource, and quantifying snowmelt and its variability under climate change is necessary for the planning and management of water resources. Spatiotemporal changes in snow properties in China have drawn wide attention in recent decades; however, country-wide assessments of snowmelt are lacking. Using precipitation and temperature data with a high spatial resolution (0.5′; approximately 1 km), this study calculated the monthly snowmelt in China for the 1951–2017 period, using a simple temperature index model, and the model outputs were validated using snowfall, snow depth, snow cover extent and snow water equivalent. Precipitation and temperature scenarios developed from five CMIP5 models were used to predict future snowmelt in China under three different representative concentration pathway (RCP) scenarios (RCP2.6, RCP4.5 and RCP8.5). The results show that the mean annual snowmelt in China from 1951 to 2017 is 2.41×1011 m3 yr−1. The mean annual snowmelt values in Northern Xinjiang, Northeast China and the Tibetan Plateau – China's three main stable snow cover regions – are 0.18×1011, 0.42×1011 and 1.15×1011 m3 yr−1, respectively. From 1951 to 2017, the snowmelt increased significantly in the Tibetan Plateau and decreased significantly in northern, central and southeastern China. In the whole of China, there was a decreasing trend in snowmelt, but this was not statistically significant. The mean annual snowmelt runoff ratios are generally more than 10 % in almost all third-level basins in West China, more than 5 % in third-level basins in North and Northeast China and less than 2 % in third-level basins in South China. From 1951 to 2017, the annual snowmelt runoff ratios decreased in most third-level basins in China. Under RCP2.6, RCP4.5 and RCP8.5, the projected snowmelt in China in the near future (2011–2040; mid-future –2041–2070; far future – 2071–2099) may decrease by 10.4 % (15.8 %; 13.9 %), 12.0 % (17.9 %; 21.1 %) and 11.7 % (24.8 %; 36.5 %) compared to the reference period (1981–2010), respectively. Most of the projected mean annual snowmelt runoff ratios in third-level basins in different future periods are lower than those in the reference period. Low temperature regions can tolerate more warming, and the snowmelt change in these regions is mainly influenced by precipitation; however, the snowmelt change in warm regions is more sensitive to temperature increases. The spatial variability in snowmelt changes may lead to regional differences in the impact of snowmelt on water supply.

Human leukocyte antigen HLA-B*13:01 is identified currently as a marker of individual susceptibility to drug-induced hypersensitivity reaction, such as dapsone-induced hypersensitivity reactions (DIHRs) and trichloroethylene-induced dermatitis. Therefore, screening for the HLA-B*13:01 allele can assist clinics in identifying patients at risk of developing DIHRs. By combining the allele-specific primers with TaqMan probes, we established a single tube, triplex real-time PCR to detect HLA-B*13:01. The reliability of this assay was validated by the comparison of genotyping results with those by sequence-based typing (SBT). With this assay, the distribution of HLA-B*13:01 in a total of 350 blood samples from four ethnic groups: Han, Tibetan, Uighur, and Buyei were determined. A 100% concordance was observed between the results with the established real-time PCR and SBT in 100 samples. The detection limit of this assay was 0.016 ng genomic DNA. The prevalence of HLA-B*13:01 carriers were 11%, 8%, 1%, and 2% in the Buyei (n = 100), Northern Han (n = 100), Tibetan (n = 100), and Uighur (n = 50) populations, respectively. The multiplex real-time PCR assay provided a fast and reliable method for accurate detection of HLA-B*13:01 allele prior to dapsone administration in clinical practice and onset of the reaction after exposure to trichloroethylene.