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Polycyclic aromatic hydrocarbons (PAHs), a large group of persistent organic pollutants (POPs), have caused wide environmental pollution and ecological effects. Chromophoric dissolved organic matter (CDOM), which consists of complex compounds, was seen as a proxy of water quality. An attempt was made to understand the relationships of CDOM absorption parameters and parallel factor analysis (PARAFAC) components with PAHs under seasonal variation in the riverine, reservoir, and urban waters of the Yinma River watershed in 2016. These different types of water bodies provided wide CDOM and PAHs concentration ranges with CDOM absorption coefficients at a wavelength of 350 nm (a (350)) of 1.17-20.74 m and total PAHs of 0-1829 ng/L. CDOM excitation-emission matrix (EEM) presented two fluorescent components, e.g., terrestrial humic-like (C1) and tryptophan-like (C2) were identified using PARAFAC. Tryptophan-like associated protein-like fluorescence often dominates the EEM signatures of sewage samples. Our finding is that seasonal CDOM EEM-PARAFAC and PAHs concentration showed consistent tendency indicated that PAHs were un-ignorable pollutants. However, the disparities in seasonal CDOM-PAH relationships relate to the similar sources of CDOM and PAHs, and the proportion of PAHs in CDOM. Overlooked and poorly appreciated, quantifying the relationship between CDOM and PAHs has important implications, because these results simplify ecological and health-based risk assessment of pollutants compared to the traditional chemical measurements.

Background The ultimate objective of rural health reform and development is to establish a mature healthcare service system that adapts to the socialist market economy and the developmental level of the Chinese economy and meets the health demands of the people. Reform of the payment system is one of the key elements. This article explores the effect of the system and the causes of benefit inequity, provides an objective evaluation of policy implementation and offers data support for policy adjustment. Methods A two-stage stratified random sampling data collection method comprising a survey in 2009 (the sample size was 3832 families) and a follow-up survey in 2015 (the sample size was 3992 families) was used. Qualitative data are presented as rates or ratios and the χ2 test was used for descriptive statistics. Quantitative data were analysed using a t test. A generalized linear model (GLM) with gamma distribution of the log connection function was adopted to analyse the factors of the compensation benefit inequity. The degree of the compensation benefit inequity contribution was analysed using the concentration index (CI) decomposition method and the Oaxaca decomposition method. Results Reimbursement refers to the reimbursement expense received by inpatients from the New Cooperative Medical System (NCMS). In the GLM, there were some positive factors for reimbursement in the NCMS, including economic level, level of health facility and deductibles. The CI decomposition analysis results show that the main factors that increased the compensation benefit inequity were economic levels and deductibles over the past 2 y. However, inpatient days (2009) and the actual reimbursement ratio (2015) decreased the inequity. The Oaxaca decomposition analysis results suggest that changes in compensation benefit inequity between 2009 and 2015 were more attributable to changes in economic status and variables related to policy compensation than to demographic variables. Conclusions: This study showed that inequity decreased from 2009 to 2015, which could be the result of adjustment of the compensation policy. However, we should remain vigilant lest the gap between the rich and the poor leads to an increase in inequity.

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