Suitability evaluation of rural sewage treatment facilities in China considering lifcycle environmental impacts and regional differences.

Centralized vs. decentralized sewage treatment is one of the key issues in the planning of rural sewage treatment (RST) in China due to the country's diverse regional characteristics. There are very limited comprehensive evaluation models for selecting regionally suitable schemes and facilities, particularly for national or provisional scale planning. As a scenario-based multi-attribute decision-making (MADM) issue, this paper develops a novel RST suitability evaluation model by integrating the multi-attribute analytic hierarchy process (AHP) with the technique for order preference by similarity to an ideal solution (TOPSIS). The suitability evaluation model sets up 3 small-centralized and 4 decentralized RST facilities as candidates and includes 12 evaluation indicators that cover economic cost, life cycle environmental impacts, technical features and operations management. Eight generic scenarios are classified for Chinese rural areas based on differences in three major characteristic factors, i.e., population density (PD), the economic development level (EDL), and topographic slope (TS). The universal evaluation results show that a centralized sewage treatment scheme is more suitable for areas with a high PD/high EDL/low TS, while a decentralized scheme is more suitable for areas with a low PD/low EDL/high TS. Sensitivity analysis shows that in regions with a high PD/low EDL, the indicator weight of the construction investment cost in the model has a great influence on the facility suitability ranking. However, in regions with a high PD/high EDL, the ranking is the most sensitive to the indicator weights of the global warming potential and sewage treatment effect. Furthermore, as a spatial decision issue, an RST suitability map of Hunan Province in China is produced at the county level of resolution, and the map is generally consistent with our field knowledge of several counties in Hunan Province. The presented evaluation framework can be integrated into environmental decision support systems in the future to help local and central governments, water utilities, design institutes and other stakeholders scientifically plan RST projects.

An integrated supervision framework to safeguard the urban river water quality supported by ICT and models.

Models and information and communication technology (ICT) can assist in the effective supervision of urban receiving water bodies and drainage systems. Single model-based decision tools, e.g., water quality models and the pollution source identification (PSI) method, have been widely reported in this field. However, a systematic pathway for environmental decision support system (EDSS) construction by integrating advanced single techniques has rarely been reported, impeding engineering applications. This paper presents an integrated supervision framework (UrbanWQEWIS) involving monitoring-early warning-source identification-emergency disposal to safeguard the urban water quality, where the data, model, equipment and knowledge are smoothly and logically linked. The generic architecture, all-in-one equipment and three key model components are introduced. A pilot EDSS is developed and deployed in the Maozhou River, China, with the assistance of environmental Internet of Things (IoT) technology. These key model components are successfully validated via in situ monitoring data and dye tracing experiments. In particular, fluorescence fingerprint-based qualitative PSI and Bayesian-based quantitative PSI methods are effectively coupled, which can largely reduce system costs and enhance flexibility. The presented supervision framework delivers a state-of-the-art management tool in the digital water era. The proposed technical pathway of EDSS development provides a valuable reference for other regions.

Road runoff as a significant nonpoint source of parabens and their metabolites in urban rivers.

Parabens are widely added to food, cosmetics, and medicines as preservatives and are typical contaminants of pharmaceuticals and personal care products (PPCPs). However, their fate and transport in urban watersheds remain largely unexplored. This study investigated the role of road runoff as a critical nonpoint source of parabens and their metabolites in urban rivers based on 73 multimedia (road runoff and dust in different urban land uses, wastewater, stormwater discharge and river water) samples collected from a highly urbanized drainage area. Seven parabens and five metabolites were detected in the road runoff, with mean concentrations of ∑parabens and ∑metabolites equal to 47.5 ng/L and 4710 ng/L, respectively. The concentrations in road runoff were comparable to those in treated wastewater and river water and showed a land use pattern of residential > industrial > commercial. A first flush effect of the contaminants was observed in a heavy rainfall event with an antecedent dry period. In general, the population-based and area-based emission intensities of ∑parabens and ∑metabolites in road runoff were one order of magnitude higher than those in wastewater effluent during the rainfall events. This study provides quantitative evidence that road runoff can be a major pollution source of parabens and their metabolites in rapidly growing cities during the wet season and calls for the integrated management of nonpoint sources to prevent urban river contamination by typical PPCPs.

The telomerase activity and expression of hTERT gene can serve as indicators in the anti-cancer treatment of human ovarian cancer.

OBJECTIVE: The aim of this study was to evaluate the clinicopathological significance of telomerase activity and expression of hTERT gene in human ovarian cancer. The potential value of them as indicators for chemotherapy in ovarian cancer cells was also studied. MATERIALS AND METHODS: A total of 73 samples and ovarian cancer cell lines HO-8910 and COC1 were studied. Telomerase activity was detected by PCR-TRAP-ELISA assay and the expression of the hTERT mRNA was analyzed by semi-quantitative RT-PCR. Alteration of the telomerase activity and hTERT mRNA were also analyzed in the ovarian cancer cells treated with different concentration and different time of cisplatin. Cytogenetic analysis was performed to compare the telomere status in the OH-8910 cells pre- and post-cisplatin treatment. The associations between these two markers and cisplatin induced-apoptosis were respectively analyzed in COC1 cells by the flow cytometry. RESULTS: Telomerase activity are highly increased in malignancy (0.795+/-0.168(A450-655 nm)) than borderline (0.389+/-0.174(A450-655 nm)), benign tumors (0.236+/-0.102(A450-655 nm)) and normal ovary (0.213+/-0.070(A450-655 nm)) (p < 0.05). Twenty samples showed detectable levels of hTERT. The hTERT gene positive lesion showed significantly higher telomerase activity than negative (p = 0.004). There is a significant correlation between the telomerase activity and expression of hTERT (r = 0.921). Both telomerase activity and expression of hTERT can reflect the chemotherapeutic effect of cisplatin in a time-dependent and dose-dependent manner. Treatment with 10 microM cisplatin, the hTERT mRNA decreased after 12h and completely disappeared after 48 h, whereas the telomerase activity did not decrease until 24h. Results from cytogenetic analysis and flow cytometry assay confirmed that the alterations of these two markers are associated with the anti-cancer treatment of cisplatin. CONCLUSION: Expression of hTERT gene is rate-limiting with the activation of telomerase. Both of they may be useful in the predicting of chemotherapeutic effect in ovarian cancer.