基于非本地物种的毒性数据推导出的水质基准一直存在争议,质疑者提出应有针对不同生物区系的水质基准。而这个问题在中国尤为突出。本文作者搜集了38种污染物对本地物种和非本地物种的毒性数据,比较了这些生物的HC5和物种敏感度分布,结果显示,基于非本地物种推导的水质基准有74%的确定性可以有效保护中国的水生态系统。如果采用评价因子(AF=5)来校正基准,那么可以获得90%的确定性。
精选自Xiaowei Jin, Zijian Wang, Yeyao Wang, Yibing Lv, Kaifeng Rao, Wei Jin, John P. Giesy and Kenneth M. Y. Leung. Do water quality criteria based on nonnative species provide appropriate protection for native species? Environmental Toxicology and Chemistry: Volume 34, Issue 8, pages 1744–1750, August 2015. DOI: 10.1002/etc.2985
详情请见http://onlinelibrary.wiley.com/doi/10.1002/etc.2985/full 相似文献
根据文献报道,我国地表水中已检出至少144种药物及个人护理用品(pharmaceuticals and personal care products,PPCPs),包括抗生素、激素、其他药物、个人护理品(personal care products,PCPs)4大类,其中检出浓度最高的达到了μg·L~(-1)量级,在长期的污染下有可能对水生生物产生内分泌干扰效应或繁殖毒性,进而影响到整个水生生物种群的繁衍变化。因此,有必要根据我国地表水中PPCPs的污染水平,筛查出具有潜在生态风险的PPCPs。由于目前缺乏针对PPCPs类污染物的筛选体系,以国内外优先控制污染物筛选体系为基础,借鉴基于风险的欧洲兽药分级方法,利用风险指数(risk index,RI),筛选得出目前我国的地表水中有16种具有繁殖毒性的PPCPs的RI1,包括1种抗生素,5种激素类药物,3种其他药物和7种PCPs,其中乙炔雌二醇(ethinylestradiol,EE2)的RI最高(115 730),其次是壬基酚(nonylphenol,NP)(1 796)、邻苯二甲酸二丁酯(dibutyl phthalate,DBP)(255.31),对水生态环境有较高的风险的PPCPs需进一步进行较高层次的风险评价。 相似文献
Aibi Lake in north Xinjiang is a typical lake of the arid area, but with a peculiar wetland–arid area ecosystem. Due to the
climate becoming drier and the disturbance of human activities, the eco-environment of Aibi Lake catchment has degraded. It
was found in our study that there were spatial–temporal changes of vegetation cover, plant species, and soil physical and
chemical properties in the catchment. In the upper section of alluvial–fluvial plains, the desertified steppe of Stipa and Artemisia spp. is developed with vegetation cover of some 50%. Haloxylon ammodendron desert occupies the lower section with vegetation cover of some 60%. In these regions with an intensive human disturbance,
vegetation has degraded into herb vegetation of annual plant complexes. On the margins of the alluvial–fluvial fans, the lakeshore,
and the surrounding regions where the river mouths join the lake, different azonal vegetation—Phragmites communis marsh, Phragmites communis meadow, and Tamarix shrubs—have developed with a vegetation cover of some 80%. On heavier, salinized land, succulent halophyte desert vegetation
dominated by Halocnemum strobilaceum has formed with a fractional canopy cover of 10–15%. Haloxylon persicum, Aristida pennata, and other species with a vegetation cover of 30–50% grow in the sand desert zone on the periphery in the lake. In contrast
with the 1950s, the vegetation cover around the lakebed and at the river deltas has slightly increased; however, the vegetation
cover around the periphery of the lake has decreased and the plant species have still degraded. The surface soils on the windward
area and the dried lakebed that have lost vegetation protection have become coarser, whereas the land on the leeward side
of the lake has accumulated fine particles. In contrast with the 1980s, soil organic matter has declined markedly. The analyses
of climatic data show that the number of days of drifting dust in Jinghe County and Bole City increased in the last 20 years.
In the investigation, we found that intensively developed land, the bare lakebed, and abandoned cultivated land provided a
great deal of material for drifting dust. In conclusion, we consider the eco-environmental degradation resulting from the
inappropriate human activities and put forward recommendations for land-use adjustment and dust control. 相似文献
The objective of this study was to estimate the residential infiltration factor (Finf) of fine particulate matter (PM2.5) and to develop models to predict PM2.5 Finf in Beijing. Eighty-eight paired indoor–outdoor PM2.5 samples were collected by Teflon filters for seven consecutive days during both non-heating and heating seasons (from a total of 55 families between August, 2013 and February, 2014). The mass concentrations of PM2.5 were measured by gravimetric method, and elemental concentrations of sulfur in filter deposits were determined by energy-dispersive x-ray fluorescence (ED-XRF) spectrometry. PM2.5 Finf was estimated as the indoor/outdoor sulfur ratio. Multiple linear regression was used to construct Finf predicting models. The residential PM2.5 Finf in non-heating season (0.70 ± 0.21, median = 0.78, n = 43) was significantly greater than in heating season (0.54 ± 0.18, median = 0.52, n = 45, p < 0.001). Outdoor temperature, window width, frequency of window opening, and air conditioner use were the most important predictors during non-heating season, which could explain 57% variations across residences, while the outdoor temperature was the only predictor identified in heating season, which could explain 18% variations across residences. The substantial variations of PM2.5 Finf between seasons and among residences found in this study highlight the importance of incorporating Finf into exposure assessment in epidemiological studies of air pollution and human health in Beijing. The Finf predicting models developed in this study hold promise for incorporating PM2.5 Finf into large epidemiology studies, thereby reducing exposure misclassification.
Implications: Failure to consider the differences between indoor and outdoor PM2.5 may contribute to exposure misclassification in epidemiological studies estimating exposure from a central site measurement. This study was conducted in Beijing to investigate residential PM2.5 infiltration factor and to develop a localized predictive model in both nonheating and heating seasons. High variations of PM2.5 infiltration factor between the two seasons and across homes within each season were found, highlighting the importance of including infiltration factor in the assessment of exposure to PM2.5 of outdoor origin in epidemiological studies. Localized predictive models for PM2.5 infiltration factor were also developed. 相似文献