Fecal source tracking by antibiotic resistance analysis on a watershed exhibiting low resistance

The ongoing development of microbial source tracking has made it possible to identify contamination sources with varying accuracy, depending on the method used. The purpose of this study was to test the efficiency of the antibiotic resistance analysis (ARA) method under low resistance by tracking the fecal sources at Turkey Creek, Oklahoma exhibiting this condition. The resistance patterns of 772 water-isolates, tested with nine antibiotics, were analyzed by discriminant analysis (DA) utilizing a five-source library containing 2250 isolates. The library passed various representativeness tests; however, two of the pulled-sample tests suggested insufficient sampling. The resubstitution test of the library individual sources showed significant isolate misclassification with an average rate of correct classification (ARCC) of 58%. These misclassifications were explained by low antibiotic resistance (Wilcoxon test P < 0.0001). Seasonal DA of stream E. coli isolates for the pooled sources human/livestock/deer indicated that in fall, the human source dominated (P < 0.0001) at a rate of 56%, and that human and livestock respective contributions in winter (35 and 39%), spring (43 and 40%), and summer (37 and 35%) were similar. Deer scored lower (17–28%) than human and livestock at every season. The DA was revised using results from a misclassification analysis to provide a perspective of the effect caused by low antibiotic resistance and a more realistic determination of the fecal source rates at Turkey Creek. The revision increased livestock rates by 13–14% (0.04 ≤ P ≤ 0.06), and decreased human and deer by 6–7%. Negative misclassification into livestock was significant (0.04 ≤ P ≤ 0.06). Low antibiotic resistance showed the greatest effect in this category.     

Using Multiple Antibiotic Resistance and land use characteristics to determine sources of fecal coliform bacterial pollution

Multiple Antibiotic Resistance (MAR) analysis and regression modeling techniques were used to identify surface water areas impacted by fecal pollution from human sources, and to determine the effects of land use on fecal pollution in Murrells Inlet, a small, urbanized, high-salinity estuary located between Myrtle Beach and Georgetown, South Carolina. MAR analysis was performed to identify areas in the estuary that are impacted by human-source fecal pollution. Additionally, regression analysis was performed to determine if an association exists between land use and fecal coliform densities over the ten-year period from 1989 to 1998. Land-use variables were derived using Geographic Information System (GIS) techniques and were used in the regression analysis.MAR analyses were conducted by comparing the frequency and patterns of antibiotic resistance found in Escherichia coli isolates derived from surface water samples and from sewage sources in the Murrells Inlet sewage collection system. The MAR results suggest that the majority of the fecal pollution detected in the Murrells Inlet estuary may be from non-human sources, including fecal coliforms isolated from areas in close proximity to high densities of active septic tanks.A MAR Index, which measures the frequency of antibiotic resistance, was calculated for each of twenty-three water samples and nine sewage samples. The antibiotic resistance pattern comparisons were performed using cluster analysis. Although the MAR indices indicated that several surface water sites had potential human-source contamination, the cluster analysis suggests that only one sampling site had MAR patterns that were similar to those found in the sewage samples. This site was in close proximity to several large pleasure boats as well as a sewage collection system lift station, but was not near areas with active septic tanks. The results of the regression analysis also suggest that sewage sources and rainfall runoff from urbanized areas may contribute to fecal pollution in the estuary.     

玉米淀粉生产废水综合利用的效益分析

生产玉米淀粉过程中排放大量高浓度有机废水、将其进行综合利用，可以提取蛋白粉、玉米浆等多种物质，这里以年产１万ｔ玉米淀粉为例，具体分析了玉米淀粉生产废水综合利用的经济效益与环境效益．表明：玉米淀粉生产废水综合利用前景广阔，是解决该部分废水污染，实现经济效益与环境效益相统一的重要途径．     

Persistently elevated AFP and AChE in amniotic fluid from a normal fetus following demise of its twin

Intrauterine fetal demise (IUFD) in one of twins at 12 weeks of gestation was accompanied by markedly elevated maternal serum alpha-fetoprotein (AFP) at 17 and 18 weeks. Amniotic fluid AFP from the healthy surviving twin's sac at 18·5 and 23 weeks was also greatly increased along with a positive acetylcholinesterase (AChE) band. Persistently elevated AFP and positive AChE so long after fetal demise–-6·5 and 11 weeks post IUFD–-has not, to our knowledge, been previously described. In similar cases, high level ultrasound and careful placental examination at birth should be utilized to search for fetal abnormalities or multiple pregnancy with IUFD.     

一种大气质量评价方法的改进及应用

将模糊数学应用于上海指数法 ,在评价函数中引入半梯形隶属函数和倍斜率隶属函数 ,提出模糊上海指数法 ;将此法应用于延安市的大气质量评价工作 ,与欧几里德贴近度法和上海指数法的评价结果进行比较表明 ,模糊上海指数法的评价结果是科学合理的。     

基于主成分分析-多元线性回归的松花江水体中多环芳烃源解析

对松花江全流域14个监测断面的16种美国环保局优先控制的多环芳烃(PAHs)的主要来源及其贡献率应用主成分因子分析-多元线性回归模型(PCA-MLR)进行了来源解析。结果表明:松花江全流域为化石和石油燃料的复合PAHs污染,水体环境中PAHs首要污染源为化石燃料燃烧和交通污染,合计贡献率为63.1%,第二大污染源为工业和民用燃煤污染,合计贡献率为36.9%,沿江的石化、石油基地、大型焦化厂、电厂都是PAHs的主要来源。     

“互联网+”智慧环保生态环境多元感知体系发展分析

在大数据技术以及信息化快速稳定持续发展的实践背景之下,"互联网+"智慧环保发展时代的悄然来临,使得对"互联网+"智慧环保多元感知体系的研究与发展工作,逐步被提升到了极其重要的地位。文章结合雄安新区生态环境智慧监测体系建设项目,展开了简要的阐释分析。     

Investigation of multiple domino scenarios caused by fragments

A model of multiple domino scenarios and the risk of the domino effect, which is a sequential chain escalating from the primary unit to the last unit, is presented in this paper. The trajectories of fragments from all units, the ground distribution of projectiles, and the risk of the sequential chain of the domino effect were calculated using Monte Carlo simulations. The results showed that the range affected by the fragments from each tank included the other tanks, meaning that fragments from one tank could hit the other tanks and cause multiple accidents, and that the sequential chain of the domino effect could indeed happen. The distributions of ground impacts showed that tank fragments were projected over long distances, up to 1200 m from the source. The spatial distribution of the kinetic energy at ground impact for tank fragments was also obtained. Moreover, the magnitudes of the probabilities of the primary, secondary, third, and fourth accidents in the domino chain were respectively about 10⁻⁷, 10⁻¹¹, 10⁻¹⁵, and 10⁻¹⁹. These results showed that for neighboring domino effect units in the same accident chain, the risk of the most recent domino effect was 10⁴ times that of the following domino effect.     

环境保护系统参与空间规划的思考与建议

空间规划体系下,环境规划在空间落地性以及精细化程度上存在短板。建议环境规划进一步完善生态保护红线制度,探索环境质量底线、环保负面清单的划定技术思路与技术路线,推动环境保护系统化参与空间规划。     

选矿废水污染的土壤铜量与生物累积的研究

通过对花石头河沿岸研究区植物的根部、茎叶进行采样分析,探讨了土壤铜含量和铜在植物体内的累积状况。结果表明,光叶蕨、三叶鬼针草、野牡丹、紫茎泽兰4种植物体内铜含量随着土壤铜含量的增加而增加,光叶蕨增量最大。植物根部铜生物累积系数(BF)与茎叶铜生物累积系数(BF)之间相关性不显著,但根部BF为1.311,茎叶BF为0.159,前者是后者的8.2倍。光叶蕨铜的累积能力最强,其次是紫茎泽兰,植物间铜生物累积系数没有显著性差异。各采样区土壤铜含量差异大,它们之间的差异达到显著性水平。无论是全株植物、根部,还是茎叶,BF值:公路边>山坡上>河边。青蒿铜的迁移系数(TF)最大,与其余植物的迁移系数存在显著性差异,而这4种植物之间铜的迁移系数没有显著性差异,不同采样区TF均值以公路边TF值最高,其次是河边,最后才是山坡上。