A Sensitivity Analysis of Nitrogen Losses from Dairy Farms

International attention has focused on agricultural production systems as non-point sources of pollution affecting the quality of streams, estuaries and ground water resources. The objective of the current study was to develop a model of nitrogen management on the dairy farm, and to perform sensitivity analyses in order to determine the relative importance of manipulating herd nutrition, manure management and crop selection in reducing nitrogen (N) losses from the farm. The importance of the method of N input to the farm (purchased feed, legume fixation, inorganic fertilizer, imported manure) was investigated, and the potential to reduce N losses from dairy farms was evaluated. Nitrogen balance equations were derived, and related efficiency coefficients were set to reference values representing common management practices. Total farm N efficiency (animal product N per N input), and N losses per product N were determined for different situations by solving the set of simultaneous equations. Improvements in animal diet and management that increase the conversion of feed N to animal product by 50% would increase total farm N efficiency by 48% and reduce N losses per product by 36 to 40%. In contrast, reducing losses from manure collection, storage and application to improve the percentage of manure N that becomes available in soil by 100% would only improve total farm N efficiency by 13% and reduce total N losses by 14%. Selecting crops and management that can use soil nutrients 50% more efficiently would improve total farm efficiency by up to 59% and reduce N losses by up to 41% depending on the predominant nitrogen sources to the farm. Legume production would reduce N losses per product compared with non-legumes. There was more than a five fold difference in N losses per animal product N between the most extreme scenarios suggesting considerable opportunity to reduce N losses from dairy farms.     

NUTRIENT CONCENTRATIONS IN WASTEWATER TREATMENT PLANT EFFLUENTS,SOUTH PLATTE RWER BASIN1

ABSTRACT: Accurate data about nutrient concentrations in wastewater treatment plant effluents are needed for river basin water-quality studies. As part of the U.S. Geological Survey's National Water-Quality Assessment Program in the South Platte River Basin, nutrient data were requested from 31 wastewater-treatment plants located in the basin. This article describes the types of nutrient data available from the plants, examines the variability of effluent nutrient concentrations, and discusses methods for estimation of nutrient concentrations where data are lacking. Ammonia was monitored at 88 percent of the plants, nitrite plus nitrate was monitored at 40 percent of the plants, and organic nitrogen and phosphorus were monitored at less than 25 percent of the plants. Median total nitrogen concentrations and median total phosphorus concentrations were small compared to typical literature estimates for wastewater-treatment plants with secondary treatment. Nutrient concentrations in effluent from wastewater-treatment plants varied widely between and within plants. For example, ammonia concentrations varied as much as 5 mg/L during a day, as much as 10 mg/L from day to day, and as much as 30 mg/L from summer to winter within a plant. In the South Platte River Basin, estimates of median annual ammonia and nitrite plus nitrate concentrations can be improved based on plant processes; and nitrite plus nitrate and organic nitrogen concentrations can be estimated based on ammonia concentrations. However, to avoid large estimation errors, more complete nutrient data from wastewater-treatment plants are needed for integration into river basin water quality studies. The paucity of data hinders attempts to evaluate the relative importance of point source and nonpoint source nutrient loadings to rivers.     

人工湿地污水处理系统脱氮研究进展

系统地介绍了人工湿地去除污水中氮污染物的机理及国内外研究进展，详细阐述了影响人工湿地污水处理系统脱氮的内、外界因素，对于人工湿地污水处理工艺的推广应用提供科学依据。     

周至国家级自然保护区综合评价体系研究

根据周至国家级自然保护区的实际情况，从3个准则、24个基层指标因子出发，运用定性和定量相结合的德尔菲法、模糊数学法以及层次分析相结合的综合方法进行评价。其中，运用对称贴近度进行各个指标因子排序比较；运用非对称贴近度评价出生态质量、有效管理质量、社会经济价值分别处于较好、较差、较好水平，同时得出周至自然保护区综合水平较好。     

安徽省区域经济差异的时空特征分析

在建立安徽省市域经济差异衡量指标体系的基础上，以安徽省17个地市为研究单元，采用层次分析法和ArcView GIS技术，探讨了安徽省市域经济差异变化的时间特征、空间格局及其发展变化过程，并对当前安徽省各市经济发展水平进行了分类。     

西江年最高水位的神经网络预报模型

对西江洪水发生的特征进行分析表明，洪水发生频率高，具有明显阶段性特征，并与流域面雨量密切相关。利用前期环流场、海表温度（SST）场及环流特征量资料选择初选预报因子，然后对初选预报因子作EOF分解构造综合预报因子，结合人工神经网络方法建立了西江年最高水位预报模型，并对预报模型进行独立样本试验。结果表明，该预报模型对历史样本拟合精度高，试报效果明显好于传统的逐步回归模型，可在汛期预测业务中应用。     

氯碱工业三氯化氮控制技术研究

三氯化氮（NCl3）是液氯生产中的一种副产物,是生产和使用过程中能够引起爆炸危害的一种易爆物质.其安全监控与防治的重要,已被我国氯碱科技工作者认同而获得共识.尽管如此,我国氯碱工业生产中三氯化氮爆鸣、爆炸事故还在经常发生,安全隐患尚未得到彻底的解决,对生产设备造成了严重的破坏,并造成不同程度的人员伤亡和氯气泄漏事故,损失惨重,危害极大.因此就三氯化氮的性能、爆炸与危害,主要来源、预防措施与消除方法进行了较为详尽的阐述.     

对安全人性化需求规律的研究

以人为本是现代安全管理的重要原则 ,在生产经营活动中 ,保障人的生命更安全、更健康 ,生活更幸福 ,既是安全管理的重要目的 ,也是人类生活的必然需求。但是 ,人民提高生命质量的安全需求是多方面的、复杂的。通过对人类生存、繁衍和发展的历史进行深入分析发现 ,人的安全需求与马斯洛的层次需求理论有相似之处 ,虽然内涵不同 ,但需求总是由低层次向高层次发展 ,当一种低层需求得到满足后 ,更高层次的需求就占据支配地位 ,成为人的行为激励因素。笔者从人性化的角度对安全需求层次类型、每一层次的特征、发展规律进行了探讨 ,其结果有助于安全管理有针对性、科学性、时效性地进行宏观决策和微观调控 ,也有助于更好地增加安全投入 ,从而提高安全生产水平。把握人性化需求规律 ,对保护人们在生产过程中的安全和健康 ,处理好人的生命价值与安全生产、经济效益、社会效益之间的关系 ,有重要的现实意义。     

南昌市环境空气质量分析和控制

利用多年的环境监测数据,分析南昌市环境空气中主要污染物尘类、二氧化硫和氮氧化物产生的原因,并提出有效控制上述污染物的具体措施。     

Application of tracer ratio and inverse dispersion methods with boat-based plume measurements to estimate ammonia emissions from seabird colonies

Ammonia emissions from two contrasting seabird colonies in Scotland were measured, based on the determination of atmospheric concentrations downwind of the colonies. Atmospheric concentrations of ammonia (NH₃) across the downwind plume were compared with the inverse application of a Gaussian dispersion model (ID) to calculate the modelled NH₃ emission that would generate the measured cross-wind-integrated plume concentration. In parallel, a tracer gas (sulphur hexafluoride, SF₆) was released from the colonies with air samples taken to allow determination of SF₆ concentrations. On the basis of the known emission rate of SF₆, the magnitude of ammonia emissions was estimated by the cross-wind-integrated tracer ratio (TR) of NH₃/SF₆ concentrations. Coupled with data on annual bird attendance, the measurements indicate annual emissions from the Isle of May and the Bass Rock of 18 and 132 tonnes NH₃-N year^–1, respectively. The measured NH₃ emissions were compared with estimates of seabird nitrogen excretion to estimate the proportion of excreted N that is volatilised as NH₃ (F_Nr). The emission estimates of the two methods compared favourably, giving 4 and 6 kg NH₃-N h^–1 (F_Nr = 15%) for the Isle of May for the ID and TR methods, respectively, and 21 and 25 kg NH₃-N h^–1 (F_Nr = 50%) for the Bass Rock for the ID and TR methods, respectively. The results provide the first measurement-based estimates to allow regional up scaling of ammonia emissions from seabirds.