17β-Estradiol mineralization under field and laboratory incubations

Mineralization studies of natural steroid hormones (e.g., 17β-estradiol, E2) are performed in environmental incubators, usually under a constant temperature such as 20°C. In this paper, we present a microcosm protocol that quantified the mineralization of E2 in soils under field temperatures. The nine agricultural soils tested had a wide range of soil organic carbon (1.1 to 5.2%) and clay (9 to 57%) contents. The calculated time over which half of the applied E2 was mineralized (E2-½) ranged from 299 to 910 d, and total E2 mineralization at 48 d (E2-TOT48) ranged from 4 to 13%. In subsequent laboratory incubations, the same soils were incubated under a constant temperature of 20°C, as well as under cyclic temperatures of 14.5°C (14 h) and 11.5°C (10h), which was within the temperature extremes observed in the field microcosms. E2-½ ranged from 157 to 686 d at 20°C and from 103 to 608 d at the cyclic temperatures, with the E2-TOT48 ranging from 6 to 21% at 20°C and from 7 to 30% under cyclic temperatures. Despite the overall 6.75°C lower mean temperatures under the cyclic versus constant temperatures, E2 mineralization was stimulated by the temperature cycles in three soils. Regardless of the incubation, the same loamy sand soil always showed larger E2 mineralization than the other eight soils and this loamy sand soil also had the smallest E2 sorption. Current modeling approaches do not take into consideration the effects of temperature fluctuations in the field because the input parameters used to describe degradation are derived from laboratory incubations at a constant temperature. Across the eight soils, E2-½ was on average 1.7 times larger and E2-TOT48 was on average 0.8 times smaller under field temperatures than under a constant 20°C. Hence, we conclude that incubations at 20°C give a reasonable representation of E2 mineralization occurring under field conditions to be expected in a typical Prairie summer season.     

Does Including Soil Moisture Observations Improve Operational Streamflow Forecasts in Snow‐Dominated Watersheds?

Changing climate and growing water demand are increasing the need for robust streamflow forecasts. Historically, operational streamflow forecasts made by the Natural Resources Conservation Service have relied on precipitation and snow water equivalent observations from Snow Telemetry (SNOTEL) sites. We investigate whether also including SNOTEL soil moisture observations improve April‐July streamflow volume forecast accuracy at 0, 1, 2, and 3‐month lead times at 12 watersheds in Utah and California. We found statistically significant improvement in 0 and 3‐month lead time accuracy in 8 of 12 watersheds and 10 of 12 watersheds for 1 and 2‐month lead times. Surprisingly, these improvements were insensitive to soil moisture metrics derived from soil physical properties. Forecasts were made with volumetric water content (VWC) averaged from October 1 to the forecast date. By including VWC at the 0‐month lead time the forecasts explained 7.3% more variability and increased the streamflow volume accuracy by 8.4% on average compared to standard forecasts that already explained an average 77% of the variability. At 1 to 3‐month lead times, the inclusion of soil moisture explained 12.3‐26.3% more variability than the standard forecast on average. Our findings indicate including soil moisture observations increased statistical streamflow forecast accuracy and thus, could potentially improve water supply reliability in regions affected by changing snowpacks.     

Designing and Implementing a Network for Sensing Water Quality and Hydrology across Mountain to Urban Transitions

Water resources are increasingly impacted by growing human populations, land use, and climate changes, and complex interactions among biophysical processes. In an effort to better understand these factors in semiarid northern Utah, United States, we created a real‐time observatory consisting of sensors deployed at aquatic and terrestrial stations to monitor water quality, water inputs, and outputs along mountain to urban gradients. The Gradients Along Mountain to Urban Transitions (GAMUT) monitoring network spans three watersheds with similar climates and streams fed by mountain winter‐derived precipitation, but that differ in urbanization level, land use, and biophysical characteristics. The aquatic monitoring stations in the GAMUT network include sensors to measure chemical (dissolved oxygen, specific conductance, pH, nitrate, and dissolved organic matter), physical (stage, temperature, and turbidity), and biological components (chlorophyll‐a and phycocyanin). We present the logistics of designing, implementing, and maintaining the network; quality assurance and control of numerous, large datasets; and data acquisition, dissemination, and visualization. Data from GAMUT reveal spatial differences in water quality due to urbanization and built infrastructure; capture rapid temporal changes in water quality due to anthropogenic activity; and identify changes in biological structure, each of which are demonstrated via case study datasets.     

微囊藻毒素-LR的全内反射荧光免疫传感器研究

在开发全内反射荧光免疫传感器的基础上,研究水中微囊藻毒素-LR(MC-LR)的检测方法。建立了基于MC-LR平面波导免疫芯片的制备方法,并结合流动分析和荧光检测开发检测系统,针对MC-LR的免疫检测条件进行优化。结果表明,全内反射荧光免疫传感器对MC-LR抗体的检测限为0.001μg/mL;在间接竞争免疫检测模式下,最优检测条件是预反应时间5min、预反应温度37℃、进样停留时间500s;在最优检测条件下,对MC-LR的检测限为0.100μg/L,线性区间为0.200~4.000μg/L;全内反射荧光免疫传感器检测MC-LR的加标回收率均在100.0%±20.0%,平行测定的相对标准偏差小于5%。     

不同种植方式蔬菜中农药残留的差异及污染控制研究

采集了陕西地区不同种植方式的瓜果类、叶菜类蔬菜样品,研究了其中各种农药的残留情况,并分析了农药残留对环境的污染及其控制措施。结果表明:露地种植蔬菜与设施种植蔬菜相比,无论是农药残留检出率还是超标率都略高,两者的农药残留检出率分别为42.0%、36.5%,超标率分别为12.0%、8.2%;叶菜类蔬菜与瓜果类蔬菜相比,无论是农药残留检出率还是超标率都较高,两者的农药残留检出率分别为52.6%、29.6%,超标率分别为17.3%、5.4%;设施种植的瓜果类蔬菜和叶菜类蔬菜的农药残留检出率基本接近,而叶菜类蔬菜的农药残留超标率明显高于瓜果类蔬菜,露地种植的叶菜类蔬菜的农药残留检出率和超标率都远高于瓜果类蔬菜;设施种植蔬菜与露地种植蔬菜相比,甲胺磷、对硫磷、甲基对硫磷、毒死蜱、三氟氯氰菊酯和氰戊菊酯的残留检出率更高;瓜果类蔬菜与叶菜类蔬菜相比,毒死蜱、甲氰菊酯、三氟氯氰菊酯、氰戊菊酯的残留检出率更高;叶菜类蔬菜的农药施用浓度较高,施用农药后要间隔一定时间后再上市销售,并应采用更科学的施药方式,以减少农药在蔬菜中的残留和降低对环境的危害;一方面要开发并积极倡导使用高效、低毒、低残留的无公害农药,另一方面则要开发能够高效、快速降解残留农药的物质,同时还要进行农产品的清洁生产,以提高农产品的安全性,并降低环境中农药的残留危害。     

污泥膜覆盖好氧发酵堆体流场模拟及应用研究简

运用Gambit软件建立了污泥好氧发酵堆体的多孔介质模型,通过自行设计的实验装置获得了堆体的通风粘性阻力系数和惯性阻力系数以及功能膜压差与透气量之间的关系,用Fluent软件分析了堆体不同截面形状及底部通风管数量对堆体通风均匀性的影响,为确定合理的通风管数量及截面几何形状提供理论依据。对上海奉贤区城镇污水厂污泥处理工程发酵仓进行堆体流场模拟,确定堆体采用小拱形截面形状,堆高2 m,宽8 m,底部设置4条通风管,实际运行效果良好。     

Comprehensive Environmental Investigation at Former Industrial/Petroleum Underground Storage Tank Sites in Long Beach,CA: A Forensic Perspective

Two industrial sites were investigated based on years of available hydrogeologic information and monitoring data for soil and groundwater. Collected data were forensically evaluated using age-dating and fingerprinting methods. The previous business uses of the project sites were as a gas station, laundry/dry-cleaning service, and car wash with petroleum underground storage tanks (USTs). As a result, these sites were exposed to a number of toxic contaminants at relatively high concentrations. Source control was necessary for successful remediation and the ultimate removal of the remaining compounds from these industrial sites. Although contaminated soil around the source was excavated during the remedial action and the high concentrations of contaminants were reduced, typical groundwater contaminants such as petroleum hydrocarbons as gasoline (TPH-G), benzene, toluene, ethylbenzene, xylenes (BTEX), and oxygenates including methyl tert-butyl ether (MTBE), diisopropyl ether (DIPE), ethyl tert-butyl ether (ETBE), tert-amyl methyl ether (TAME), and tert-butyl alcohol (TBA) were persistently found at the studied sites around the source points. The plume and concentration of contaminants had changed their shapes and strength for all monitoring periods. Thus, additional source control seems to be a requirement for the complete removal of source contamination, which must be ascertained with groundwater and soil monitoring on a regular time base. For the study sites, monitored natural attenuation was relatively feasible for the long-term plan; however, it did not offer a perfect remediation solution for an ultimate goal because of residual toxic compounds that might have affected the surrounding residential areas at higher concentrations than their health limits. Therefore, as a remediation strategy, the combination of clean-up technology and natural attenuation with monitoring activities are more highly recommended than either clean-up or natural attenuation used separately.     

SCR脱硝系统烟道内流场优化

为了改善选择性催化还原法(SCR)催化剂上游烟气的流场、温度场和浓度场分布,基于CFD仿真分析技术,建立了整个脱硝系统三维模型,并通过优化导流板及整流格栅,使得速度标准偏差、浓度标准偏差、温度偏差、速度偏转角以及压降等性能指标都满足设计要求,在满足脱硝效率和氨逃逸率前提下,大大降低了烟气对催化剂层的冲刷,保证催化剂的使用寿命。最后,为了合理布置吹灰器,对优化结构下粉尘颗粒在烟道内的运动情况进行了仿真分析研究,为设计提供了依据。     

Effects of combinations of malathion and cypermethrin on survivability and time of metamorphosis of tadpoles of Indian cricket frog (Fejervarya limnocharis)

This study was undertaken to determine the effect of environmentally realistic concentrations of two commonly used pesticides viz., malathion and cypermethrin, using a fully 3 × 3 factorial experiments on the survivability and time of metamorphosis in a common rice paddy field frog (cricket frog) Fejervarya limnocharis under laboratory conditions. The results suggest that cypermethrin is more toxic than malathion and combinations of higher concentrations of cypermethrin (50 μg/L) with malathion (250 and 500 μg/L) are more deleterious to the survivability of tadpoles. With increasing cypermethrin concentration, the survivability of tadpole decreased (r = ?0.986, P = 0.108). But cypermethrin alone induced early metamorphosis among the surviving tadpoles. However, there was a delay in the time required for metamorphosis induced by malathion and its combination with cypermethrin. The delay in metamorphosis may indicate the altered physiological fitness of the individual. The emergent froglets will be subjected to environmental stressors like high temperature and less humidity of post-monsoon tropical climate that could enhance negative influence triggered by pesticides.     

珠江三角洲蔬菜基地蔬菜中邻苯二甲酸酯的含量特征

邻苯二甲酸酯是一类重要的环境激素类污染物。本文以气相色谱/质谱(GC/MS)联用检测技术,对珠江三角洲地区典型蔬菜生产基地蔬菜中6种邻苯二甲酸酯化合物进行测试分析。结果发现:(1)珠江三角洲地区典型蔬菜生产基地的蔬菜样品中,多数样品检测出6种邻苯二甲酸酯,总含量为0.46～12.02mg/kg。(2)基地蔬菜中单个邻苯二甲酸酯化合物的种类和含量因蔬菜种类、品种、部位和生长环境等因素而异。(3)同种类蔬菜在不同基地或同一基地不同种类蔬菜中邻苯二甲酸酯的含量分布不同。(4)大部分蔬菜中以邻苯二甲酸正二丁酯(DnBP)和邻苯二甲酸双(2-乙基己基)酯(DEHP)为主。