Iowa Statewide Stream Nitrate Load Calculated Using In Situ Sensor Network

Various techniques exist to estimate stream nitrate loads when measured concentration data are sparse. The inherent uncertainty associated with load estimation, however, makes tracking progress toward water quality goals more difficult. We used high‐frequency, in situ nitrate sensors strategically deployed across the agricultural state of Iowa to evaluate 2016 stream concentrations at 60 sites and loads at 35 sites. The generated data, collected at an average of 225 days per site, show daily average nitrate‐N yields ranging from 12 to 198 g/ha, with annual yields as high as 53 kg/ha from the intensely drained Des Moines Lobe. Thirteen of the sites that capture water from 82.5% of Iowa's area show statewide nitrate‐N loading in 2016 totaled 477 million kg, or 41% of the load delivered to the Mississippi–Atchafalaya River Basin (MARB). Considering the substantial private and public investment being made to reduce nitrate loading in many states within the MARB, networks of continuous, in situ measurement devices as described here can inform efforts to track year‐to‐year changes in nitrate load related to weather and conservation implementation. Nitrate and other data from the sensor network described in this study are made publicly available in real time through the Iowa Water Quality Information System.     

Landscape Hydrogeology and its Influence on Patterns of Groundwater Flux and Nitrate Removal Efficiency in Riparian Buffers

This study uses data from 46 riparian sites to examine the influence of landscape hydrogeology on patterns of groundwater flux and the buffer width required for effective nitrate removal in humid temperate agricultural regions. There is a considerable imbalance in the research focus on different hydrogeologic settings. More than 40% of the buffers are located in landscapes with surficial sand aquifers, whereas few buffers have been studied in glacial till and weathered bedrock landscapes which cover large areas. Annual groundwater fluxes for 29 of these sites ranged from <20 L/m/day for buffers on flat sand plains and uplands with fine‐textured deposits to 50‐1,200 L/m/day for many sites with upland sand aquifers. Despite a similar range of water fluxes, buffers in gently to moderately sloping landscapes with <4 m depths of sand sediments reached a 90% removal efficiency within 30‐60 m while sites with >4 m depths required a 150‐200 m width. The width for 90% efficiency in buffers with loamy sand and sandy loam sediments also increased from 10‐20 m with <4 m sediment depths to 50‐100 m for >4 m depths. Limited data for buffers with fine‐textured sediments suggest that 90% of the nitrate flux was often depleted in a 10‐20 m width. Groundwater flux did not have a significant relationship with nitrate removal percent per meter buffer width because of the variation in efficiency that occurred in buffers with similar fluxes in different hydrogeologic settings.     

从银铅锌废渣中回收硝酸银的研究

介绍了用灼烧、浸取、沉淀、溶转和离子交换等方法,从银铅锌废渣中直接回收硝酸银,收率可达80.12%,AgNO3纯度为99.9%。考察了试料粒度、FeCl3质量浓度、溶液酸度、固液比,反应温度及浸取时间对银浸出率的影响。     

硝酸镧对铜绿微囊藻生长特性的影响

在实验室内利用BG₁₁培养液培养,研究了不同硝酸镧[La(NO₃)₃]浓度下铜绿微囊藻(Microcystis aeruginosa)FACHB526的生长特性,并在实验后期测定了藻细胞中的藻毒素含量.以藻细胞数和叶绿素a含量所表示的最大比生长率和最大现存量为指标,在一定浓度范围内,La(NO₃)₃可明显刺激铜绿微囊藻FACHB526的生长.但当培养液中La(NO₃)₃浓度很高时(125000g/L),却对铜绿微囊藻FACHB526的生长表现出明显的抑制作用.稀土盐类La(NO₃)₃对藻生长的低浓度刺激和高浓度抑制效应对全面了解水华爆发机制有一定的意义.从FACHB526藻中可分离检测出4种藻毒素变型MC-LR,MC-RR,MC-LW,MC-LF.     

太湖地区农田土壤中硝态氮垂直运移的规律

用模拟土柱和田间定期采样的方法对太湖地区农田土壤中硝态氮垂直运移规律进行了研究.结果表明,在饱和条件下,硝态氮垂直运移过程的穿透曲线呈现不对称形状和拖尾现象,主要由于土壤中存在着动水和不动水的比例不同和土壤的物理性质所致.在非饱和条件下,硝态氮运移过程的时间明显加长,穿透曲线的峰值增高,优先流不明显,穿透曲线平缓.与硝态氮结合的阳离子价数对硝态氮的垂直运移没有影响.试验区的硝态氮在土壤中的含量随季节的不同而呈现规律性的变化,冬、春季硝态氮在土壤中的含量较高;夏、秋季则较低.地下水中的硝态氮污染现象不显著,主要由于土壤质地黏重,阻碍了硝态氮向地下水中的运移.     

LANDSCAPE ATTRIBUTES AS CONTROLS ON GROITHD WATER NITRATE REMOVAL CAPACITY OF RIPARIAN ZONES1

ABSTRACT: Inherent site factors can generate substantial variation in the ground water nitrate removal capacity of riparian zones. This paper examines research in the glaciated Northeast to relate variability in ground water nitrate removal to site attributes depicted in readily available spatial databases, such as SSUIRGO. Linking site‐specific studies of riparian ground water nitrate removal to spatial data can help target high‐value riparian locations for restoration or protection and improve the modeling of watershed nitrogen flux. Site attributes, such as hydric soil status (soil wetness) and geomorphology, affect the interaction of nitrate‐enriched ground water with portions of the soil ecosystem possessing elevated biogeochemical transformation rates (i.e., biologically active zones). At our riparian sites, high ground water nitrate‐N removal rates were restricted to hydric soils. Geomorphology provided insights into ground water flowpaths. Riparian sites located on outwash and organic/alluvial deposits have high potential for nitrate‐enriched ground water to interact with biologically active zones. In till deposits, ground water nitrate removal capacity may be limited by the high occurrence of surface seeps that markedly reduce the time available for biological transformations to occur within the riparian zone. To fully realize the value of riparian zones for nitrate retention, landscape controls of riparian nitrate removal in different climatic and physiographic regions must be determined and translated into available spatial databases.     

粒状活性炭处理水样并采用紫外分光光度法快速测定水中的硝酸盐氮

介绍一种通过用粒状活性炭处理水样并采用紫外分光光度法快速测定水中硝酸盐氮的方法,用粒状活性炭处理水样以消除干扰,使水中硝酸盐氮得到了快速而又准确的测定。     

低浓度下4个取代苯污染物与硝酸铅的混合对发光菌的联合毒性

多种污染物混合特别是低浓度下的混合对生物的联合毒性是生态毒理学研究的热点之一。选择了3类污染物苯酚、间甲基苯酚、苯胺、对硝基苯胺、硝酸铅，采用美国微板光度计测定了它们对发光菌青海弧菌．Q67（Vibrio-qinghaiensissp-Q67）的单一及联合毒性。应用非线性拟合技术模拟了这5种物质及其混合物的剂量．效应曲线，硝酸铅可用Logit模型模拟，其它4个物质能用Weibull模型准确描述，所有拟合相关系数在0．98以上，均方根误差在O．02以下。根据纯物质的EC50值，获得这5个物质的毒性强弱顺序：硝酸铅〉对硝基苯胺〉间甲基苯酚〉苯酚〉苯胺。混合实验设计了各物质在EC50、EC1、无观察效应浓度（noobserved effectcon centration，NOEC）比例的混合。用浓度加和（doseaddition，DA）和独立作用模型（independentaction，IA）对混合物毒性进行预测。IA基本准确预测了这5个物质在各自EC50混合的毒性。DA与队模型都稍微过高地预测了以EC。及NOEC浓度比例混合的联合毒性，但都在毒理学实验容许的范围之内。这5个物质以NOEC混合时对测试生物Q67没有产生明显毒性，但是还不能判定这些物质在此浓度下混合是安全的。污染物在各自的NOEC浓度下混合是否对其它生物有潜在的威胁还需更多毒理学实验支持。     

Winter Hydrology and NO3− Concentrations in a Forested Watershed: A Detailed Field Study in the Adirondack Mountains of New York1

Abstract: More than 85% of NO₃^? losses from watersheds in the northeastern United States are exported during winter months (October 1 to May 30). Interannual variability in NO₃^? loads to individual streams is closely related to interannual climatic variations, particularly during the winter. The objective of our study was to understand how climatic and hydrogeological factors influence NO₃^? dynamics in small watersheds during the winter. Physical parameters including snow depth, soil temperature, stream discharge, and water table elevation were monitored during the 2007‐2008 winter in two small catchments in the Adirondack Mountains, New York State. Snowpack persisted from mid‐December to mid‐April, insulating soils such that only two isolated instances of soil frost were observed during the study period. NO₃^? export during a mid‐winter rain‐on‐snowmelt event comprised between 8 and 16% of the total stream NO₃^? load for the four‐month winter study period. This can be compared with the NO₃^? exported during the final spring melt, which comprised between 38 and 45% of the total four‐month winter NO₃^? load. Our findings indicate that minor melt events were detectable with changes in soil temperature, streamflow, groundwater level, and snow depth. But, based on loading, these events were relatively minor contributors to winter NO₃^? loss. A warmer climate and fluctuating snowpack may result in more major mid‐winter melt events and greater NO₃^? export to surface waters.     

重庆市老龙洞地下河流域硝酸盐来源和生物地球化学过程的识别

为明确城市地区岩溶地下水系统硝酸盐污染来源和生物地球化学过程,于2019年7月至2020年10月期间,采集了重庆市老龙洞地下河流域内的污水、井水和地下河水,测定其水化学和硝酸盐氮氧双同位素值（δ¹⁵ N-NO₃^-和δ¹⁸ O-NO₃^-）.结果表明：①污水的δ¹⁵ N-NO₃^-和δ¹⁸ O-NO₃^-分别介于-3.3‰~14.6‰和-5.2‰~20.6‰之间,说明污水中的硝酸盐主要来源于生活污水排放及化肥渗漏;井水的δ¹⁵ N-NO₃^-和δ¹⁸ O-NO₃^-分别介于3.1‰~12.6‰和2.9‰~8.9‰之间,说明井水中的硝酸盐主要来自于粪肥及土壤有机氮矿化分解;地下河水中的δ¹⁵ N-NO₃^-和δ¹⁸ O-NO₃^-分别介于5.6‰~28.6‰和-2.0‰~15.7‰之间,说明市政污水以及农田中施用的粪肥是地下河水中主要的硝酸盐来源.②基于MixSIAR模型计算得出,粪肥污水是地下河水中硝酸盐的主要贡献源,贡献占比为89.1%,土壤有机氮、化肥和大气降水贡献率分别为4.4%、3.4%和3.1%.③流域内的COD ：ρ（NO₃^-）由低到高依次为：井水（0.14~5.15）、地下河水（0.50~9.36）和污水（4.08~89.50）.仅有50%井水样品的COD ：ρ（NO₃^-）略高于反硝化发生的化学计量比最低限（0.65）,说明COD可能不足以支撑井水中发生反硝化,井水中的硝酸盐氮氧双同位素未发生明显富集,验证了井水中未发生反硝化作用;90%地下河水样品的COD ：ρ（NO₃^-）高于0.65,硝酸盐氮氧双同位素同步富集,δ¹⁵ N ：δ¹⁸ O为1.8,介于反硝化发生时的1.3~2.1,说明地下河水在流动过程中发生了反硝化作用;所有污水样品的COD ：ρ（NO₃^-）远高于0.65,其中25%污水样品的COD ：ρ（NO₃^-）高于发生异化还原为铵（DNRA）的优势化学计量比（29.34）,δ¹⁵ N-NO₃^-和ρ（NH₄⁺）：ρ（NO₃^-）同步升高,表明污水中可能发生了DNRA.