Instream sensor results suggest soil–plant processes produce three distinct seasonal patterns of nitrate concentrations in the Ohio River Basin

The Ohio River Basin (ORB) is responsible for 35% of total nitrate loading to the Gulf of Mexico yet controls on nitrate timing require investigation. We used a set of submersible ultraviolet nitrate analyzers located at 13 stations across the ORB to examine nitrate loading and seasonality. Observed nitrate concentrations ranged from 0.3 to 2.8 mg L⁻¹ N in the Ohio River's mainstem. The Ohio River experiences a greater than fivefold increase in annual nitrate load from the upper basin to the river's junction with the Mississippi River (74–415 Gg year⁻¹). The nitrate load increase corresponds with the greater drainage area, a 50% increase in average annual nitrate concentration, and a shift in land cover across the drainage area from 5% cropland in the upper basin to 19% cropland at the Ohio River's junction with the Mississippi River. Time-series decomposition of nitrate concentration and nitrate load showed peaks centered in January and June for 85% of subbasin-year combinations and nitrate lows in summer and fall. Seasonal patterns of the terrestrial system, including winter dormancy, spring planting, and summer and fall growing-harvest seasons, are suggested to control nitrate timing in the Ohio River as opposed to controls by river discharge and internal cycling. The dormant season from December to March carries 51% of the ORB's nitrate load, and nitrate delivery is high across all subbasins analyzed, regardless of land cover. This season is characterized by soil nitrate leaching likely from mineralization of soil organic matter and release of legacy nitrogen. Nitrate experiences fast transit to the river owing to the ORB's mature karst geology in the south and tile drainage in the northwest. The planting season from April to June carries 26% of the ORB's nitrate and is a period of fertilizer delivery from upland corn and soybean agriculture to streams. The harvest season from July to November carries 22% of the ORB's nitrate and is a time of nitrate retention on the landscape. We discuss nutrient management in the ORB including fertilizer efficiency, cover crops, and nitrate retention using constructed measures.     

反相高效液相色谱法(RPHPLC)测定水体中硝酸盐及亚硝酸盐

文章提出了一个快速RPHPLC同时测定水体中NO_3~-和NO_2~-的新方法。使用UV210检测,磷酸为流动相,最低检出量(S/N=2):NO_3~-为0.08ng,NO_2~-为0.6ng。文章对流动相的pH及浓度进行了优化并对某地自来水及城市排放水进行了测定。全部分析时间仅为3min。     

硝酸盐对降解对苯二甲酸厌氧污泥驯化的影响

硝酸盐在通过反硝化作用加速菌体生长的同时,对污泥中降解ＴＡ菌群的形成有进一步的诱导作用。经过６周的驯化其对ＴＡ的比降能力达到１８．７５ｍｇ／（ｄＶＳＳ．ｄ）,而对照组为１０．２８ｍｇ／（ｇＶＳＳ．ｄ）研究结果还显示,经过２－３周可以完成从反硝化作用到产甲烷作用的转化。     

序批式膜生物反应器中反硝化聚磷菌的富集

采用序批式膜生物反应器（SBMBR）对以硝酸盐作为电子受体的反硝化聚磷菌的富集进行了研究.结果表明,经过厌氧-好氧和厌氧-缺氧-好氧2个阶段的富集,反硝化聚磷菌占全部聚磷菌的比例从19.4%上升到69.6%,每周期缺氧段投加硝酸盐氮120 mg时,SBMBR系统运行最为稳定.稳定运行的SBMBR反硝化强化除磷体系具有良好的强化除磷和反硝化脱氮性能,缺氧段脱氮和除磷效率分别达到100%和84%,膜出水总磷浓度平均低于0.5mg/L,系统除磷率达到96.1%.此外,氨氮去除率保持在92.2%,氨氮被去除的同时并没有发现亚硝酸盐氮和硝酸盐氮的明显积累.     

基于氮氧同位素技术的黄河上游清水河硝酸盐来源解析

对清水河灌溉季和非灌溉季各采样点位的水化学指标和硝酸盐的时空分布特征进行分析,运用贝叶斯混合模型MixSIAR模型定量识别了该河流硝酸盐来源,以期了解灌溉对地表水硝酸盐含量的影响.结果表明,清水河水体呈弱碱性,水体氮类以硝酸盐为主,Cl^-和SO₄^2-时空变化特征一致,通过NO₃^-/Cl^-比值和Cl^-浓度的关系,结合清水河地区土地利用、工农业生产的实际情况,揭示了清水河水体硝酸盐受生活污水、畜禽养殖和化学氮肥源的影响较大.MixSIAR模型计算结果表明土壤有机氮、化学氮肥和畜禽养殖对灌溉季水体的贡献率较大,分别为24.8%、24.5%和22.8%,生活污水和大气氮沉降的贡献率分别为14.4%和13.6%;而生活污水、畜禽养殖和土壤有机氮对非灌溉季水体的贡献率较大,分别为26.7%、23.4%和20.4%,大气氮沉降和化学氮肥贡献率分别为16.5%和12.9%.农业灌溉增加了地表水硝酸盐的含量,灌溉季中农用氮肥的施用率较高,贡献了主要的硝...     

地下水中两种典型抗生素复合对反硝化作用的影响

选取氟喹诺酮类抗生素中的环丙沙星(CIP)与洛美沙星(LOM)作为典型抗生素代表,选择乙酸钠为碳源,采用批实验方法开展室内模拟试验,探究了CIP与LOM在单独作用和联合作用下对反硝化进程的影响.在此基础上,通过测定反硝化菌数量、活性和反硝化酶活性等指标变化探究其影响机理.实验结果表明,与空白组体系相比,LOM(100μg/L)组、CIP(100μg/L)组和LOM(50μg/L)+CIP(50μg/L)组对NO₃^--N降解和NO₂^--N降解均产生抑制作用,抑制率:LOM+CIP>CIP>LOM,抗生素暴露会不同程度抑制微生物数量活性及反硝化关键酶活性.NO₃^--N降解受反硝化菌活性以及硝酸盐降解酶(NaR)活性的共同影响,NO₂^--N降解则主要受到亚硝酸盐还原酶(NiR)活性的影响.对抗生素联用效果的探究表明,LOM+CIP组在NO₃^--N降解与NO     

Relation Between Flow and Temporal Variations of Nitrate and Pesticides in Two Karst Springs in Northern Alabama1

Abstract: Two karst springs in the Mississippian Carbonate Aquifer of northern Alabama were sampled between March 1999 and March 2001 to characterize the variability in concentration of nitrate, pesticides, selected pesticide degradates, water temperature, and inorganic constituents. Water temperature and inorganic ion data for McGeehee Spring indicate that this spring represents a shallow flow system with a relatively short average ground‐water residence time. Water issuing from the larger of the two springs, Meridianville Spring, maintained a constant temperature, and inorganic ion data indicate that this water represents a deeper flow system having a longer average ground‐water residence time than McGeehee Spring. Although water‐quality data indicate differing short‐term responses to rainfall at the two springs, the seasonal variation of nitrate and pesticide concentrations generally is similar for the two springs. With the exception of pesticides detected at low concentrations, the coefficient of variation for most constituent concentrations was less than that of flow at both springs, with greater variability in concentration at McGeehee Spring. Degradates of the herbicides atrazine and fluometuron were detected at concentrations comparable to or greater than the parent pesticides. Decreases in concentration of the principal degradate of fluometuron from about July to November indicate that the degradation rate may decrease as fluometuron (demethylfluometuron) moves deeper into the soil after application. Data collected during the study show that from about November to March when recharge rates increase, nitrate and residual pesticides in the soil, unsaturated zone, and storage within the aquifer are transported to the spring discharges. Because of the increase in recharge, fluometuron loads discharged from the springs during the winter were comparable to loads discharged at the springs during the growing season.     

Testing the Hydrological Landscape Unit Classification System and Other Terrain Analysis Measures for Predicting Low-Flow Nitrate and Chloride in Watersheds

Elevated nitrate concentrations in streamwater are a major environmental management problem. While land use exerts a large control on stream nitrate, hydrology often plays an equally important role. To date, predictions of low-flow nitrate in ungauged watersheds have been poor because of the difficulty in describing the uniqueness of watershed hydrology over large areas. Clearly, hydrologic response varies depending on the states and stocks of water, flow pathways, and residence times. How to capture the dominant hydrological controls that combine with land use to define streamwater nitrate concentration is a major research challenge. This paper tests the new Hydrologic Landscape Regions (HLRs) watershed classification scheme of Wolock and others (Environmental Management 34:S71-S88, 2004) to address the question: Can HLRs be used as a way to predict low-flow nitrate? We also test a number of other indexes including inverse-distance weighting of land use and the well-known topographic index (TI) to address the question: How do other terrain and land use measures compare to HLR in terms of their ability to predict low-flow nitrate concentration? We test this for 76 watersheds in western Oregon using the U.S. Environmental Protection Agency’s Environmental Monitoring and Assessment Program and Regional Environmental Monitoring and Assessment Program data. We found that HLRs did not significantly improve nitrate predictions beyond the standard TI and land-use metrics. Using TI and inverse-distance weighting did not improve nitrate predictions; the best models were the percentage land use—elevation models. We did, however, see an improvement of chloride predictions using HLRs, TI, and inverse-distance weighting; adding HLRs and TI significantly improved model predictions and the best models used inverse-distance weighting and elevation. One interesting result of this study is elevation consistently predicted nitrate better than TI or the hydrologic classification scheme.     

Zn2+/TiO2薄膜光催化剂的制备及对NO的去除

为研究Zn^2＋／TiO2薄膜光催化剂对NO的去除效果,以钛酸四正丁酯和Zn（NO3）2为前驱体、石英玻璃片为基片,用在溶胶中进行浸渍提拉的方法,于500℃下煅烧制备出Zn^2＋加入量不同的Zn^2＋／TiO2薄膜光催化剂,重点考察了Zn^2＋加入量对NO去除率的影响。实验结果表明,Zn^2＋的加入可进一步提高NO的去除率,当Zn^2＋加入量为4％时,NO最高去除率为89％。对各种试样的扫描电镜和X射线衍射表征结果表明,适当加入Zn^2＋可改善纳米TiO2的分散状态,减小粒径尺寸,从而达到提高NO去除率的目的。