天津污灌区土壤中多环芳烃的提取、净化和测定

研究了天津污灌区严重污染土壤中 1 6种多环芳烃的提取和测定方法 .考察了加速溶剂提取的提取条件、样品净化方法和GC MS测定条件 .结果表明 ,在 1 4 0℃用1∶1二氯甲烷和丙酮提取 5min ,硅胶柱净化后用GC MS测定可以得到很好的效果 .方法回收率在 5 7%— 1 4 0 %之间 ,检测限为 3 5× 1 0 - 4— 1 1× 1 0 - 3 mg·l- 1,且重现性较好 .天津代表性污灌水稻土中 1 6种PAHs的实测浓度为 0 0 7— 1 2 7mg·kg- 1.     

天津污灌区苯并（a）芘、荧蒽和菲生态毒性的风险表征

运用概率风险评价方法表征和比较了天津污灌区3种多环芳烃对生物影响的风险性。根据各物质的环境暴露浓度和相应急性毒性值的累计概率分布曲线估计了各物质相对风险性的大小。采用联合概率曲线方式比较了不同暴露概率水平条件下3种多环芳烃的相对风险。结果表明，该地区目前菲的总体风险性高于另两种化合物，苯并（a)芘的总体风险性最低。而低暴露风险条件下（受威胁生物不超过20％），苯并（a)芘的风险较大，菲次之，荧蒽风险相对较低。     

Detection of Class I and II integrons for the assessment of antibiotic and multidrug resistance among Escherichia coli isolates from agricultural irrigation waters in Bulacan,Philippines

Contaminated irrigation water may greatly affect not only the quality of produce but also the people exposed to it. In this study, agricultural irrigation waters in Bulacan, Philippines were assessed and found to be contaminated with Escherichia coli (E. coli) ranging from 0.58 to 4.51 log₁₀ CFU/mL. A total of 79 isolates of E. coli were confirmed through polymerase chain reaction (PCR) amplifying the uidA gene and were tested for phenotypic resistance using 10 antimicrobials through the Kirby–Bauer disc diffusion method. Forty-six isolates (58.22%) were noted to be multidrug resistant (MDR) with high resistance rate to cephalothin, tetracycline, streptomycin, ampicillin, trimethoprim, nalidixic acid, and chloramphenicol. Moreover, this study also examined the prevalence of Class I and II integrons accounting to 67.39% and 17.39%, respectively, of the MDR E. coli strains using multiplex PCR. The results imply that the agricultural water used in Bulacan is contaminated with the fecal material of man or other animals present in the area, and the presence of MDR bacteria, which pose a potential threat to individuals in these areas, is alarming. In addition, detection of integrons could be a good marker for the identification of MDR isolates. Lastly, this study could develop strategies for the proper management of farming sites leading to the detection of food-borne pathogens and prevention of infectious diseases.     

Pesticide in the Mississippi River floodplain and its possible linkage to colon cancer risk in the US

Result of this study shows that elevated colorectal cancer risk in Mississippi River floodplain of the United States is likely linked to historically high pesticide application. Mississippi River basin produces about 80% of major US crops and has about two-thirds of US pesticides used for agriculture. Historically, heavy pesticide application and agricultural irrigation were reported to result in high pesticide residues in surface water, fish and wells of Mississippi embayment. Risk ratio of colorectal cancer incidence in 86 counties of Mississippi River floodplain was about 29% higher than that of other counties in the 48 contiguous states. Risk ratio of colon cancer mortality in 63 counties of Mississippi embayment was 33% higher than that of other counties in the 48 states between 1999 and 2016. Risk ratios of colorectal cancer incidence and colon cancer mortality in Mississippi River floodplain are higher after smoking and diabetes factors were filtered off. Previous studies have linked exposure to pesticide with type-II diabetes and the latter was linked to increasing colon cancer risk by about 27%. Result here suggests that pesticide may be an independent risk factor directly associated with elevated colon cancer risk in Mississippi River floodplain.     

Spatial and Seasonal Response of Municipal Water Use to Weather across the Contiguous U.S.

Weather variability has the potential to influence municipal water use, particularly in dry regions such as the western United States (U.S.). Outdoor water use can account for more than half of annual household water use and may be particularly responsive to weather, but little is known about how the expected magnitude of these responses varies across the U.S. This nationwide study identified the response of municipal water use to monthly weather (i.e., temperature, precipitation, evapotranspiration [ET]) using monthly water deliveries for 229 cities in the contiguous U.S. Using city‐specific multiple regression and region‐specific models with city fixed effects, we investigated what portion of the variability in municipal water use was explained by weather across cities, and also estimated responses to weather across seasons and climate regions. Our findings indicated municipal water use was generally well‐explained by weather, with median adjusted R² ranging from 63% to 95% across climate regions. Weather was more predictive of water use in dry climates compared to wet, and temperature had more explanatory power than precipitation or ET. In response to a 1°C increase in monthly maximum temperature, municipal water use was shown to increase by 3.2% and 3.9% in dry cities in winter and summer, respectively, with smaller changes in wet cities. Quantifying these responses allows urban water managers to plan for weather‐driven variability in water use.     

Use of Predictive Weather Uncertainties in an Irrigation Scheduling Tool Part II: An Application of Metrics and Adjoints

We apply predictive weather metrics and land model sensitivities to improve the Colorado State University Water Irrigation Scheduler for Efficient Application (WISE). WISE is an irrigation decision aid that integrates environmental and user information for optimizing water use. Rainfall forecasts and verification performance metrics are used to estimate predictive rainfall probabilities that are used as input data within the irrigation decision aid. These input data errors are also used within a land model sensitivity study to diagnose important prognostic water movement behaviors for irrigation tool development purposes simultaneously performing the analysis in space and time. Thus, important questions such as “how long can a crop water application be delayed while maintaining crop yield production?” are addressed by evaluating crop growth stage interactions as a function of soil depth (i.e., space), rainfall events (i.e., time), and their probabilistic uncertainties. Editor’s note : This paper is part of the featured series on Optimizing Ogallala Aquifer Water Use to Sustain Food Systems. See the February 2019 issue for the introduction and background to the series.     

Health risks of heavy metals in contaminated soils and food crops irrigated with wastewater in Beijing, China

Consumption of food crops contaminated with heavy metals is a major food chain route for human exposure. We studied the health risks of heavy metals in contaminated food crops irrigated with wastewater. Results indicate that there is a substantial buildup of heavy metals in wastewater-irrigated soils, collected from Beijing, China. Heavy metal concentrations in plants grown in wastewater-irrigated soils were significantly higher (P相似文献   

小凌河污水灌溉对水稻作物影响的分析

通过小凌河水灌溉水稻的清水不地比清沙漠为分析污灌给水稻作物带来的生长发育，产量及稻米品质等方面的生态效应，初步了解米质品质下降的不利因素，并提出审慎考虑污灌问题。     

灰色生长曲线与万元产值废水量预测

基于ＧＩＭ（１）灰色线性幂函数曲线，研究开发出ＧＰＭ（１）这一新的灰色生长曲线，并建立了ＧＰＭ（１）简捷的参数辨别方法。研究表明，ＧＰＭ（１）概念明确，结论可信，精度令人满意，比传统的皮尔生长曲线在应用上有着更大的优越性。为具有生长规律的非线性灰色环境系统的分析、预测和决策提供了新途径。     

内蒙古农业灌区夏、秋浇的氮磷流失变化

通过对内蒙古农业灌区引黄灌溉的2次主要大规模灌溉（夏浇、秋浇）的跟踪监测,研究了农业灌区的氮磷流失情况.分析了2次灌溉期的各引水渠和排水渠中总氮（TN）、氨氮（NH4＋-N）、硝氮（NO3--N）、总磷（TP）、溶解性无机磷（DIP）、溶解性有机磷（DOP）、颗粒磷（PP）的变化情况.研究表明：夏浇时,由于植物吸收、灌水量小等因素,基本不产生污染.而秋浇期间,由于灌水量大、土地裸露成为非点源污染产生的主要时期.在对第8排域的TN、TP的连续监测中发现,排干沟中的总氮总磷含量基本维持在4.16mg.L^-1和0.1725mg.L^-1,且氮为主要的污染控制因子;排干沟中的N/P为24,排入乌梁素海中极易引起水华发生.结合河套农业灌区的自然条件、耕作方式等因素,综合分析了河套灌区在夏浇及秋浇时期的非点源污染产生过程及污染特点.为该地区非点源污染管理和控制提供科学依据.