Shijiazhuang Environmental Monitoring Center

Shijiazhuang, China

Shijiazhuang Environmental Monitoring Center

Shijiazhuang, China
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Jin X.,China National Environmental Monitoring Center | Jin X.,CAS Research Center for Eco Environmental Sciences | Wang Y.,China National Environmental Monitoring Center | Jin W.,Shijiazhuang Environmental Monitoring Center | And 8 more authors.
Environmental Science and Technology | Year: 2014

It has been recognized that ecological risk assessment based on traditional endpoints of toxicity are unable to provide adequate protection because some chemicals may affect reproductive fitness of aquatic organisms at much lower concentrations. In this paper, predicted no effect concentrations (PNECs) for 4-nonylphenol (NP) were derived based either on endpoints of survival, development, and growth or on some nonlethal biomarkers of reproduction, biochemical and molecular biology data. The PNECs derived from reproductive lesion ranged from 0.12 to 0.60 μg NP L-1, which was significantly lower than those derived from other endpoints. An assessment of ecological risks posed by NP to aquatic organisms in surface waters of China was conducted based on concentration levels of NP in 16 surface waters of 4 major river basins and PNECs derived from reproductive fitness by a tiered ecological risk assessment (ERA). The results showed that 14.2% and 76.5% of surface waters in China may have ecological risks resulting from reproductive fitness if the thresholds of protection for aquatic organisms were set up as 5% (HC5) and 1% (HC1), respectively. The risks were significantly greatest in the Yangtze River Basin than in other major river basins. In comparison with the risks assessed based on traditional endpoints, such as lethality, for those chemicals causing adverse effects on reproduction due to modulation of endocrine function, to be protective of ecosystem structure and function, lesser PNECs, based on sublethal effects of reproduction, were appropriate. © 2013 American Chemical Society.


Jin X.,China National Environmental Monitoring Center | Wang Z.,CAS Research Center for Eco Environmental Sciences | Wang Y.,China National Environmental Monitoring Center | Lv Y.,China National Environmental Monitoring Center | And 8 more authors.
Environmental Toxicology and Chemistry | Year: 2015

The potential use of toxicity data for nonnative species to derive water quality criteria is controversial because it is sometimes questioned whether criteria based on species from one geographical region provide appropriate protection for species in a different region. However, this is an important concept for the development of Chinese water quality criteria or standards. Data were assembled on 38 chemicals for which values were available for both native and nonnative species. Sensitivities of these organisms were compared based on the 5% hazardous concentration values and the species sensitivity distribution from a literature review. Results of the present study's analysis showed that there is approximately 74% certainty that use of nonnative species to generate water quality criteria would be sufficiently protective of aquatic ecosystems in China. Without applying any assessment factor to the water quality criteria generated from nonnative species, the uncertainty would be 26% when the native Chinese species might be under protection. Applying an assessment factor of 10 would offer adequate protection to native Chinese species for approximately 90% of tested chemicals and thus reduce the uncertainty from 26% to 10%. © 2015 SETAC.


PubMed | University of Hong Kong, CAS Research Center for Eco Environmental Sciences, University of Saskatchewan, Shijiazhuang Environmental Monitoring Center and China National Environmental Monitoring Center
Type: Journal Article | Journal: Environmental toxicology and chemistry | Year: 2015

The potential use of toxicity data for nonnative species to derive water quality criteria is controversial because it is sometimes questioned whether criteria based on species from one geographical region provide appropriate protection for species in a different region. However, this is an important concept for the development of Chinese water quality criteria or standards. Data were assembled on 38 chemicals for which values were available for both native and nonnative species. Sensitivities of these organisms were compared based on the 5% hazardous concentration values and the species sensitivity distribution from a literature review. Results of the present studys analysis showed that there is approximately 74% certainty that use of nonnative species to generate water quality criteria would be sufficiently protective of aquatic ecosystems in China. Without applying any assessment factor to the water quality criteria generated from nonnative species, the uncertainty would be 26% when the native Chinese species might be under protection. Applying an assessment factor of 10 would offer adequate protection to native Chinese species for approximately 90% of tested chemicals and thus reduce the uncertainty from 26% to 10%.


Han Y.,CAS Research Center for Eco Environmental Sciences | Li N.,CAS Research Center for Eco Environmental Sciences | Oda Y.,Japan Institute for Environmental Sciences | Ma M.,CAS Research Center for Eco Environmental Sciences | And 6 more authors.
Ecotoxicology and Environmental Safety | Year: 2016

With the burgeoning contamination of surface waters threatening human health, the genotoxic effects of surface waters have received much attention. Because mutagenic and carcinogenic compounds in water cause tumors by different mechanisms, a battery of bioassays that each indicate a different mode of action (MOA) is required to evaluate the genotoxic effects of contaminants in water samples. In this study, 15 water samples from two source water reservoirs and surrounding rivers in Shijiazhuang city of China were evaluated for genotoxic effects. Target chemical analyses of 14 genotoxic pollutants were performed according to the Environmental quality standards for surface water of China. Then, the in vitro cytokinesis-block micronucleus (CBMN) assay, based on a high-content screening technique, was used to detect the effect of chromosome damage. The SOS/umu test using strain TA1535/pSK1002 was used to detect effects on SOS repair of gene expression. Additionally, two other strains, NM2009 and NM3009, which are highly sensitive to aromatic amines and nitroarenes, respectively, were used in the SOS/umu test to avoid false negative results. In the water samples, only two of the genotoxic chemicals listed in the water standards were detected in a few samples, with concentrations that were below water quality standards. However, positive results for the CBMN assay were observed in two river samples, and positive results for the induction of umuC gene expression in TA1535/pSK1002 were observed in seven river samples. Moreover, positive results were observed for NM2009 with S9 and NM3009 without S9 in some samples that had negative results using the strain TA1535/pSK1002. Based on the results with NM2009 and NM3009, some unknown or undetected aromatic amines and nitroarenes were likely in the source water reservoirs and the surrounding rivers. Furthermore, these compounds were most likely the causative pollutants for the genotoxic effect of these water samples. Therefore, to identify causative pollutants with harmful biological effects, chemical analyses for the pollutants listed in water quality standards is not sufficient, and single-endpoint bioassays may underestimate adverse effects. Thus, a battery of bioassays based on different MOAs is required for the comprehensive detection of harmful biological effects. In conclusion, for genotoxicity screening of surface waters, the SOS/umu test system by using different strains combined with the CBMN assay was a useful approach. © 2016 Elsevier Inc.


PubMed | CAS Research Center for Eco Environmental Sciences, Shijiazhuang Environmental Monitoring Center and Japan Institute for Environmental Sciences
Type: | Journal: Ecotoxicology and environmental safety | Year: 2016

With the burgeoning contamination of surface waters threatening human health, the genotoxic effects of surface waters have received much attention. Because mutagenic and carcinogenic compounds in water cause tumors by different mechanisms, a battery of bioassays that each indicate a different mode of action (MOA) is required to evaluate the genotoxic effects of contaminants in water samples. In this study, 15 water samples from two source water reservoirs and surrounding rivers in Shijiazhuang city of China were evaluated for genotoxic effects. Target chemical analyses of 14 genotoxic pollutants were performed according to the Environmental quality standards for surface water of China. Then, the in vitro cytokinesis-block micronucleus (CBMN) assay, based on a high-content screening technique, was used to detect the effect of chromosome damage. The SOS/umu test using strain TA1535/pSK1002 was used to detect effects on SOS repair of gene expression. Additionally, two other strains, NM2009 and NM3009, which are highly sensitive to aromatic amines and nitroarenes, respectively, were used in the SOS/umu test to avoid false negative results. In the water samples, only two of the genotoxic chemicals listed in the water standards were detected in a few samples, with concentrations that were below water quality standards. However, positive results for the CBMN assay were observed in two river samples, and positive results for the induction of umuC gene expression in TA1535/pSK1002 were observed in seven river samples. Moreover, positive results were observed for NM2009 with S9 and NM3009 without S9 in some samples that had negative results using the strain TA1535/pSK1002. Based on the results with NM2009 and NM3009, some unknown or undetected aromatic amines and nitroarenes were likely in the source water reservoirs and the surrounding rivers. Furthermore, these compounds were most likely the causative pollutants for the genotoxic effect of these water samples. Therefore, to identify causative pollutants with harmful biological effects, chemical analyses for the pollutants listed in water quality standards is not sufficient, and single-endpoint bioassays may underestimate adverse effects. Thus, a battery of bioassays based on different MOAs is required for the comprehensive detection of harmful biological effects. In conclusion, for genotoxicity screening of surface waters, the SOS/umu test system by using different strains combined with the CBMN assay was a useful approach.


Du J.,Hebei Normal College for Nationalities | He W.,Hebei Normal University | Xu M.,Shijiazhuang Environmental Monitoring Center
Guti Dianzixue Yanjiu Yu Jinzhan/Research and Progress of Solid State Electronics | Year: 2010

The transmission probability and probability current density show periodic variations as the quantum ring increases. In the upper arm, the probability current density increases as the δ barrier increases. However, the probability current density decreases as the δ barrier increases in the lower arm. The transmission probability and probability current density show periodic variations as the AB flux increases. The probability current density in the left part of the upper arm and that in the right part of the upper arm are symmetrical under certain condition.


Zhao W.,Hebei University of Science and Technology | Zhao W.,Pollution Prevention Biotechnology Laboratory of Hebei Province | Qin Z.,Hebei University of Science and Technology | Ma L.,Shijiazhuang Environmental Monitoring Center
Chinese Journal of Environmental Engineering | Year: 2014

The representative roads in Shijiazhuang were selected as the research objects, the NOx pollution level in the road traffic ambient air was monitored. The fitting model was created by the Matlab software, then the pollution trend of NOx for the next period was forecasted. The results showed that the hourly average concentration of NOx in Shijiazhuang road traffic ambient air ranged from 0.047 to 0.237 mg/m3, the daily variation presented that the NOx concentration was high in the morning and in the evening, and the concentration in the after-noon was significantly lower than the one in the before-noon. The daily average concentration of NOx ranged from 0.076 to 0.211 mg/m3, and it had a significant positive correlation with the road traffic flow. The ARMA model established by the Matlab software could better predict the concentration variation trends of NOx in the road traffic ambient air.

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