This study investigated the occurrence, seasonal-spatial distribution characteristics, and attenuation process of 15 pharmaceuticals and personal care products (PPCPs) in riverside sections of Beiyun River of Beijing. The overall PPCP levels both in surface water and riverside groundwater were moderate on the global scale, and showed higher concentrations in the dry season mainly caused by water temperature variation. Caffeine (CF), carbamazepine (CBZ), metoprolol (MTP), N,N-diethyl-meta-toluamide (DEET), diclofenac (DF), bezafibrate (BF), and gemfibrozil (GF) were seven representative PPCPs, because the rest eight studied compounds occurred in low concentrations and less than 15% of the total concentration of PPCPs. Caffeine and bezafibrate, respectively, was the most abundant compound in surface water and riverside groundwater, with median concentrations of 3020.0 and 125.0 ng L. Total concentrations of PPCPs in surface water were much higher than those in the riverside groundwater spatially. Attenuation of PPCPs during riverbank filtration was largely depending on the sources, site hydrogeological conditions, and physical-chemical properties of PPCPs, also was influenced by dissolved organic matter and environmental physicochemical parameters. CF, MTP, DEET, and CBZ were potential groundwater attenuation contaminants; DF, BF, and GF were groundwater-enriched contaminants based on their removal rates. Predominant removal mechanism of PPCPs like CF was biodegradation. Attenuation simulation showed that the one-way supply between Beiyun River and riverside groundwater, and further confirmed Beiyun River, was the main source of pharmaceutical compounds in the riverside groundwater.

Purpose – The purpose of this paper is to investigate the principles on how to reuse the reclaimed wastewater in urban areas and furthermore, to determine appropriate reuse targets and optimize the selection of reuse targets on wastewater. Design/methodology/approach – Use Analytic Hierarchy Process (AHP) to suggest the assessment criteria and subject weights of wastewater reuse. Candidate reclaimed wastewater reuse targets in this study includes “agriculture irrigation,” “industrial use,” “environmental use,” “urban use,” “groundwater recharge,” “life-use water,” and “infusion reservoir.” Findings – The analysis results of the pairwise comparison of the water targets under different assessment criteria level show that in all water targets, agriculture irrigation is more important than industrial use under the “public acceptance” at first. Then, the order results were used to suggest the future wastewater reuse targets under different assessment criteria levels and conducted an acceptance survey on the people of the urban areas. Originality/value – The results of this study can be a useful information for the system analysis of wastewater reclamation and reuse.

No abstract

No abstract

PM 2.5 air pollution has been a growing concern worldwide. Previous studies have conducted several techniques to estimate PM 2.5 exposure spatiotemporally in China, but all these have limitations. This study was to develop a data fusion approach and compare it with kriging and Chemistry Module. Two techniques were applied to create daily spatial cover of PM 2.5 in grid cells with a resolution of 10 km in North China in 2013, respectively, which was kriging with an external drift (KED) and Weather Research and Forecast Model with Chemistry Module (WRF-Chem). A data fusion technique was developed by fusing PM 2.5 concentration predicted by KED and WRF-Chem, accounting for the distance from the central of grid cell to the nearest ground observations and daily spatial correlations between WRF-Chem and observations. Model performances were evaluated by comparing them with ground observations and the spatial prediction errors. KED and data fusion performed better at monitoring sites with a daily model R 2 of 0.95 and 0.94, respectively and PM 2.5 was overestimated by WRF-Chem (R 2 =0.51). KED and data fusion performed better around the ground monitors, WRF-Chem performed relative worse with high prediction errors in the central of study domain. In our study, both KED and data fusion technique provided highly accurate PM 2.5 . Current monitoring network in North China was dense enough to provide a reliable PM 2.5 prediction by interpolation technique.