Dynamic regression modeling of daily nitrate-nitrogen concentrations in a large agricultural watershed

Nitrate-nitrogen concentrations in rivers represent challenges for water supplies that use surface water sources. Nitrate concentrations are often modeled using time-series approaches, but previous efforts have typically relied on monthly time steps. In this study, we developed a dynamic regression model of daily nitrate concentrations in the Raccoon River, Iowa, that incorporated contemporaneous and lags of precipitation and discharge occurring at several locations around the basin. Results suggested that 95 % of the variation in daily nitrate concentrations measured at the outlet of a large agricultural watershed can be explained by time-series patterns of precipitation and discharge occurring in the basin. Discharge was found to be a more important regression variable than precipitation in our model but both regression parameters were strongly correlated with nitrate concentrations. The time-series model was consistent with known patterns of nitrate behavior in the watershed, successfully identifying contemporaneous dilution mechanisms from higher relief and urban areas of the basin while incorporating the delayed contribution of nitrate from tile-drained regions in a lagged response. The first difference of the model errors were modeled as an AR(16) process and suggest that daily nitrate concentration changes remain temporally correlated for more than 2 weeks although temporal correlation was stronger in the first few days before tapering off. Consequently, daily nitrate concentrations are non-stationary, i.e. of strong memory. Using time-series models to reliably forecast daily nitrate concentrations in a river based on patterns of precipitation and discharge occurring in its basin may be of great interest to water suppliers.     

Case studies in co-benefits approaches to climate change mitigation and adaptation

Attempts to mitigate greenhouse gas emissions or manage the effects of climate change traditionally focus on management or policy options that promote single outcomes (e.g., either benefiting ecosystems or human health and well-being). In contrast, co-benefits approaches to climate change mitigation and adaptation address climate change impacts on human and ecological health in tandem and on a variety of spatial and temporal scales. The article engages the concept of co-benefits through four case studies. The case studies emphasize co-benefits approaches that are accessible and tractable in countries with human populations that are particularly vulnerable to climate change impacts. They illustrate the potential of co-benefits approaches and provide a platform for further discussion of several interdependent principles relevant to the implementation of co-benefits strategies. These principles include providing incentives across multiple scales and time frames, promoting long-term integrated impact assessment, and fostering multidimensional communication networks.     

基于GIS的新疆库尔勒市耕地地力等级评价研究

以新疆库尔勒市为例,将利用测土配方施肥项目所取得的基础数据,筛选有机质、速效钾、有效磷、有效锌等可量化的指标作为评价指标。根据模糊数学理论和特尔斐法建立评价因子的隶属函数模型,利用层次分析法建立评价因子的层次分析模型。以ArcGIS统计分析模块和空间分析模块为平台,根据加法模型计算出耕地地力综合指数,划分耕地地力等级。评价结果基本符合当地实际。     

Electrokinetic remediation of organochlorines in soil: enhancement techniques and integration with other remediation technologies

Electrokinetic remediation has been increasingly used in soils and other matrices for numerous contaminants such as inorganic, organic, radionuclides, explosives and their mixtures. Several strategies were tested to improve this technology effectiveness, namely techniques to solubilize contaminants, control soil pH and also couple electrokinetics with other remediation technologies. This review focus in the experimental work carried out in organochlorines soil electroremediation, aiming to systemize useful information to researchers in this field. It is not possible to clearly state what technique is the best, since experimental approaches and targeted contaminants are different. Further research is needed in the application of some of the reviewed techniques. Also a number of technical and environmental issues will require evaluation for full-scale application. Removal efficiencies reported in real contaminated soils are much lower than the ones obtained with spiked kaolinite, showing the influence of other factors like aging of the contamination and adsorption to soil particles, resulting in important challenges when transferring technologies into the field.     

Tissue-based environmental quality benchmarks and standards

Although the use of tissue concentrations (residues) of chemical contaminants as the dose metric to characterize chemical toxicity to aquatic organisms has been gaining acceptance over the past 20 years, tissue concentrations are less commonly used in water quality management and have yet to be formally adopted as benchmarks or environmental quality standards (EQS). This synthesis paper addresses advantages and disadvantages for the development and application of tissue-based EQS as an alternative and supplement to exposure-based EQS determined with water and sediment concentration data. Tissue-based EQS can be readily developed in parallel with conventional toxicity tests, and achieved by quantification of chemical concentrations in tissue alongside traditional concentration-response toxicity testing. Tissue-residue toxicity metrics can be used as benchmarks for screening and monitoring water and sediment quality, to derive equivalent water or sediment EQS, and for ecological risk assessments and weight of evidence approaches for assessing ecosystem impairment. Tissue-based toxicity metrics and associated EQS provide several advantages; however, there are some limitations to consider and key knowledge gaps to fill.     

Source apportionment of PAHs and n-alkanes in respirable particles in Tehran,Iran by wind sector and vertical profile

The vertical concentration profiles and source contributions of polycyclic aromatic hydrocarbons (PAHs) and n-alkanes in respirable particle samples (PM₄) collected at 10, 100, 200 and 300-m altitude from the Milad Tower of Tehran, Iran during fall and winter were investigated. The average concentrations of total PAHs and total n-alkanes were 16.7 and 591 ng/m³, respectively. The positive matrix factorization (PMF) model was applied to the chemical composition and wind data to apportion the contributing sources. The five PAH source factors identified were: ‘diesel’ (56.3 % of total PAHs on average), ‘gasoline’ (15.5 %), ‘wood combustion, and incineration’ (13 %), ‘industry’ (9.2 %), and ‘road soil particle’ (6.0 %). The four n-alkane source factors identified were: ‘petrogenic’ (65 % of total n-alkanes on average), ‘mixture of petrogenic and biomass burning’ (15 %), ‘mixture of biogenic and fossil fuel’ (11.5 %), and ‘biogenic’ (8.5 %). Source contributions by wind sector were also estimated based on the wind sector factor loadings from PMF analysis. Directional dependence of sources was investigated using the conditional probability function (CPF) and directional relative strength (DRS) methods. The calm wind period was found to contribute to 4.4 % of total PAHs and 5.0 % of total n-alkanes on average. Highest average concentrations of PAHs and n-alkanes were found in the 10 and 100 m samples, reflecting the importance of contributions from local sources. Higher average concentrations in the 300 m samples compared to those in the 200 m samples may indicate contributions from long-range transport. The vertical profiles of source factors indicate the gasoline and road soil particle-associated PAHs, and the mixture from biogenic and fossil fuel source-associated n-alkanes were mostly from local emissions. The smaller average contribution of diesel-associated PAHs in the lower altitude samples also indicates that the restriction of diesel-fueled vehicle use in the central area of Tehran has been effective in reducing the PAHs concentration.     

Levoglucosan and carbonaceous species in the background aerosol of coastal southeast China: case study on transport of biomass burning smoke from the Philippines

Introduction  

Levoglucosan and carbonaceous species in the background aerosol of coastal southeast China were measured at Jianfengling (JFL), a background mountain site in a National Reserve Park on Hainan Island, and at Hok Tsui (HT), a rural site on the southern coast of Hong Kong from April to May of 2004 during an intensive field study.     

稠油降解微生物的筛选鉴定及其降解特性

从二连油田原油和油层水中筛选驯化出3株能够降解稠油的细菌DS1、DS2和DS3,通过16S rRNA基因序列比对发现DS1、DS2和DS3分别与溶血不动杆菌(Acinetobacter haemolyticus)、鹑鸡肠球菌(Enterococcus gallinarum)和耳炎短杆菌(Brevibacterium otitidis)相似度最高,分别为99%、99%和98%。研究结果表明,DS1对温度和pH有较强耐受性,DS3对盐度的适应性较好,2株菌最适的降解条件为温度35~40℃、盐度2%~5%(W/V)、pH为7~10。在5%的原油浓度下,复合菌对原油的30 d降解率达89.2%。经GC-MS分析,微生物降解作用后,除C29其他烃类几乎被全部降解。3株菌在7d内对500 g/L粘度为1 746 mPa·s(50℃)的稠油降粘率分别为49.1%、46.6%和49.0%,而复合菌对稠油的降粘效果高于单一菌株,其降粘率达到57.0%。     

Redundant Measurements of Urban Air Monitoring Networks in Air Quality Reporting

Abstract

This paper describes a statistical method to assess site redundancy of urban air monitoring networks in reporting daily Pollutant Standards Index (PSI), average concentrations, and the number of exceedances. Such a statistical method has identified significant redundancy in monitoring sites for one-year measurements of two air monitoring networks in Taiwan. There are five redundant sites out of 15 monitoring sites in the Taipei area and eight redundant sites out of 18 monitoring sites in the Kaohsiung area. By using the statistical method presented in this paper to downsize the monitoring networks, we can determine not only the number of redundant sites but also the priority of site removals. The derived sub-networks can maintain consistency in reporting air quality without significant changes in the spatial variations of air measurements for an existing air monitoring network.     

城市化对河流着生硅藻物种和功能多样性的影响——以深圳市河流为例

着生藻类是河流生态系统的主要初级生产者,了解城市化对着生藻类多样性的影响对于城市河流管理具有重要意义.本研究以深圳市河流为例,研究了河流着生硅藻性状及物种、功能多样性对城市干扰的响应.研究发现城区和郊区的水质状况差异显著.城区样点的NH₄⁺-N、NO₂-N、TN、TP和DOC浓度是郊区的3～20倍不等.水环境的巨大变化也导致了河流着生藻类生物多样性的变化.城区组物种丰富度、Pielou指数和Simpson指数均显著高于郊区组,而功能均匀度则显著低于郊区组.并且在21个硅藻性状中,有15个性状在城区和郊区组间存在显著差异.进一步用随机森林模型拟合着生藻类生物多样性与水质指标的关系,结果发现硅藻性状对城市化反应较其他指标更为敏感.特别是小型、可动、低共位群和运动群这4个性状指标,构建的随机森林模型解释率能达到40%～60%,而生物多样性指数构建的模型解释率只有15%～25%左右.总体来说,TP和TN是影响城市河流着生硅藻多样性的主要水质指标.在营养水平高的城市样点.个体较大、能够移动的硅藻占有主导地位;而在营养水平较低的郊区...