Recent years have seen a surge in assessment of potential impacts of climate change. As one of the most important tools for generating synthetic hydrological model inputs, weather generators have played an important r...Recent years have seen a surge in assessment of potential impacts of climate change. As one of the most important tools for generating synthetic hydrological model inputs, weather generators have played an important role in climate change impact analysis of water management. However, most weather generators like statistical downscaling model （SDSM） and long Ashton research station weather generator （LARS-WG） are designed for single site data generation. Considering the significance of spatial correlations of hydro-meteorological data, multi-site weather data generation becomes a necessity. In this study we aim to evaluate the performance of a new multi-site stochastic model, geo-spatial temporal weather generator （GIST）, in simulating precipitation in the Qiantang River Basin, East China. The correlation matrix, precipitation amount and occurrence of observed and GiST-generated data are first compared for the evaluation process. Then we use the GiST model combined with the change factor method （CFM） to investigate future changes of precipitation （2071 2100） in the study area using one global climate model, Hadgem2 ES, and an extreme emission scenario RCP 8.5, The final results show that the simulated precipitation amount and occurrence by GiST matched their historical counterparts reasonably. The correlation coefficients between simulated and his- torical precipitations show good consistence as well. Compared with the baseline period （1961 1990）, precipitation in the future time period （2071-2100） at high elevation stations will probably increase while at other stations decreases will occur. This study implies potential application of the GiST stochastic model in investigating the impact of climate change on hydrology and water resources.展开更多
Pharmaceuticals and personal care products(PPCPs)are receiving attention as emerging pollutants due to their extensive applications and persistent emissions.The Qiantang River Basin,a representative region in eastern ...Pharmaceuticals and personal care products(PPCPs)are receiving attention as emerging pollutants due to their extensive applications and persistent emissions.The Qiantang River Basin,a representative region in eastern China that relies on surface water for drinking purposes,experiences the movement and accumulation of PPCPs in its water and sediment,which can directly affect the safety of drinking water in the basin.This study focuses on the Qiantang River Basin’s surface water,sediment,and drinking water to determine the occurrence and potential risks of 31 PPCPs.It aims to address whether PPCPs in the environment could migrate and accumulate,thereby affecting human health.The findings indicated that PPCPs are ubiquitous in various environmental media,with surface and pore water showing distinct spatial distribution characteristics,specifically,concentrations escalated with urban scale expansion,indicating that domestic sewage discharge is the primary source of PPCP input.Bisphenol A(BPA),ketoprofen(KTP),and diethyltoluamide(DEET)were the primary contaminants.The movement of PPCPs within the surface water-sediment-pore water system was affected by various circumstances.Substances like Sulfamethoxazole(SMX)(RQ>103)and KTP(RQ=22.3)present in surface water and sediment pose significant ecological concerns,and KTP and atrazine(ATZ)(0.6<RQ<2.1)also pose a high risk in drinking water.This study performed an extensive analysis of the distribution and risks associated with typical PPCPs in the Qiantang River Basin,offering a scientific foundation and theoretical support for research on the environmental behavior of PPCPs in this area and the development of targeted pollution control strategies.展开更多
基金Projcct supportcd by the International Scicncc ＆ Technology Co- operation Program of China （No. 2010DFA24320）, and the National Natural Science Foundation of China （Nos. 51379183 and 50809058） ~ Zhcjiang Univcrsity and Springcr-Vcrlag Bcrlin Hcidclberg 2014
文摘Recent years have seen a surge in assessment of potential impacts of climate change. As one of the most important tools for generating synthetic hydrological model inputs, weather generators have played an important role in climate change impact analysis of water management. However, most weather generators like statistical downscaling model （SDSM） and long Ashton research station weather generator （LARS-WG） are designed for single site data generation. Considering the significance of spatial correlations of hydro-meteorological data, multi-site weather data generation becomes a necessity. In this study we aim to evaluate the performance of a new multi-site stochastic model, geo-spatial temporal weather generator （GIST）, in simulating precipitation in the Qiantang River Basin, East China. The correlation matrix, precipitation amount and occurrence of observed and GiST-generated data are first compared for the evaluation process. Then we use the GiST model combined with the change factor method （CFM） to investigate future changes of precipitation （2071 2100） in the study area using one global climate model, Hadgem2 ES, and an extreme emission scenario RCP 8.5, The final results show that the simulated precipitation amount and occurrence by GiST matched their historical counterparts reasonably. The correlation coefficients between simulated and his- torical precipitations show good consistence as well. Compared with the baseline period （1961 1990）, precipitation in the future time period （2071-2100） at high elevation stations will probably increase while at other stations decreases will occur. This study implies potential application of the GiST stochastic model in investigating the impact of climate change on hydrology and water resources.
基金jointly supported by the Open Research Fund of State Environmental Protection Key Laboratory of Drinking Water Source Protection,Chinese Research Academy of Environmental Sciences(2022YYSYKFYB07)the Fundamental Research Funds for the Central Publicinterest Scientific Institution(2022YSKY-07)the China Geological Survey Project(DD20211414).
文摘Pharmaceuticals and personal care products(PPCPs)are receiving attention as emerging pollutants due to their extensive applications and persistent emissions.The Qiantang River Basin,a representative region in eastern China that relies on surface water for drinking purposes,experiences the movement and accumulation of PPCPs in its water and sediment,which can directly affect the safety of drinking water in the basin.This study focuses on the Qiantang River Basin’s surface water,sediment,and drinking water to determine the occurrence and potential risks of 31 PPCPs.It aims to address whether PPCPs in the environment could migrate and accumulate,thereby affecting human health.The findings indicated that PPCPs are ubiquitous in various environmental media,with surface and pore water showing distinct spatial distribution characteristics,specifically,concentrations escalated with urban scale expansion,indicating that domestic sewage discharge is the primary source of PPCP input.Bisphenol A(BPA),ketoprofen(KTP),and diethyltoluamide(DEET)were the primary contaminants.The movement of PPCPs within the surface water-sediment-pore water system was affected by various circumstances.Substances like Sulfamethoxazole(SMX)(RQ>103)and KTP(RQ=22.3)present in surface water and sediment pose significant ecological concerns,and KTP and atrazine(ATZ)(0.6<RQ<2.1)also pose a high risk in drinking water.This study performed an extensive analysis of the distribution and risks associated with typical PPCPs in the Qiantang River Basin,offering a scientific foundation and theoretical support for research on the environmental behavior of PPCPs in this area and the development of targeted pollution control strategies.
