Ein kompetitiver Immunoassay zur Bestimmung des Herbizids Fluazifop in Trink- und Grundwasser

A Competitive Immunoassay for the Determination of the Herbicide Fluazifop in Drinking Water and Groundwater A competitive solid-phase enzyme immunoassay using rabbit polyclonal antibodies was developed for the detection of the herbicide fluazifop [(RS)-2-[4-(5-trifluoromethyl-2-pyridyloxy)phenoxy]propionic acid] in drinking water and groundwater. Present regulatory limits for drinking water in Germany were taken as the critical level. The carrier protein was bovine serum albumin; horseradish peroxidase was used as marker enzyme with 3,3′,5,5′-tetramethylbenzidine as substrate. A high concentration of high-affinity antibodies in the serum, optimization of test conditions (antibody and enzyme tracer concentration, incubation time etc.), and very low cross reactivities to substances of similar structures led to a highly sensitive and specific ELISA with a detection limit below 0.1 μg/L for fluazifop as free acid. On testing the suitability of the assay's use as a screening test with one hundred drinking-water samples, the three samples which had been spiked in the laboratory were recognized as positive with respect to their fluazifop content. Confirmation by gas chromatography-mass spectrometry showed the test results of two other samples to be false positive. False negative results did not appear. The concentration was in the detection limit region of 0.1 μg/L.     

Distribution of trace metals in the Odra River system: Water–suspended matter–sediments

Extensive investigations of trace metals concentrations in water, suspended particulate matter (SPM) and bottom sediments of the whole Odra River system were carried out over the years 1997–2000. The vertical distribution of selected metals and their mobility were also studied in the sediment cores from upper and middle river sections. Significant levels of metal contamination were found. Median concentrations (Cd, Pb, Cu, Zn and As) in the SPM and sediments were (mg kg⁻¹) 7.1 and 8.9 Cd, 128 and 146 Pb, 81 and 119 Cu, 1198 and 1204 Zn, 48 and 54 As, respectively. The highest metal pollution of the Odra River solids was found with cadmium, zinc, lead and arsenic, showing high similarity in their frequency distributions in both SPM and sediments. Cd, Zn and As appear to be of particular concern because of the high levels, that appear to be bioavailable, and their high mobility. The exchangeable and carbonate chemical forms of Cd and Zn reached up to 50% of their total amount. Besides the determination of total metal concentration, the metal chemical forms in river solids were investigated. The results of very wide studies of the Odra River system through 4 years suggest that metal pollution decreased, especially for Zn, Pb and Cu. Among all metals studied in the Odra River sediments, substantial reductions of Cd contamination were observed neither in the period after ’97 flood, nor if compared with the earlier results obtained before ’97. No essential differences of the metal contents were observed among the samples for the same river compartment, from the same locality, taken within the five sampling campaigns. The pattern of spatial and vertical metal distributions in the river solids indicates that a variety of sources might be responsible for the contamination; very intensive, historical and current mining and smelting activities probably are the most important ones.     

Temporal and spatial variations in water flow and sediment load in Narmada River Basin, India: natural and man-made factors

The Narmada River flows through the Deccan volcanics and transports water and sediments to the adjacent Arabian Sea. In a first-ever attempt, spatial and temporal (annual, seasonal, monthly and daily) variations in water discharge and sediment loads of Narmada River and its tributaries and the probable causes for these variations are discussed. The study has been carried out with data from twenty-two years of daily water discharge at nineteen locations and sediment concentrations data at fourteen locations in the entire Narmada River Basin. Water flow in the river is a major factor influencing sediment loads in the river. The monsoon season, which accounts for 85 to 95% of total annual rainfall in the basin, is the main source of water flow in the river. Almost 85 to 98% of annual sediment loads in the river are transported during the monsoon season (June to November). The average annual sediment flux to the Arabian Sea at Garudeshwar (farthest downstream location) is 34.29×10⁶ t year⁻¹ with a water discharge of 23.57 km³ year⁻¹. These numbers are the latest and revised estimates for Narmada River. Water flow in the river is influenced by rainfall, catchment area and groundwater inputs, whereas rainfall intensity, geology/soil characteristics of the catchment area and presence of reservoirs/dams play a major role in sediment discharge. The largest dam in the basin, namely Sardar Sarovar Dam, traps almost 60–80% of sediments carried by the river before it reaches the Arabian Sea.     

长江漫滩区深大异形基坑施工对紧邻特大型桥梁影响及变形控制研究

随着地下空间资源的开发利用,越来越多深基坑呈现出开挖深、规模大、形状不规则等特点,其支护结构设计复杂,施工难度大,具有明显的空间效应。本文以南京地铁某基坑工程为例,分析基坑施工对邻近桥梁的影响。其场区位于长江下游漫滩相二元结构地层分布地段,上部软土层厚度大,下部承压含水层地下水位高、水量丰富,地质条件复杂,该基坑为典型的深大异形基坑,距离某大桥的双曲拱引桥仅为7. 2 m,由于之前桥梁已遭受其他地下工程施工产生的较大变形,所以后续工程对其影响变形控制要求极高。为此,该车站基坑支护结构设计基于地下空间实际功能采用设置分隔墙分区开挖及MJS超深工法墙综合变形控制方案。本文通过有限元数值模拟计算,开展复杂环境下基坑开挖引起的围护结构及桥梁桩基的变形预测分析,计算结果显示,该深大狭长异形基坑开挖对邻近桥梁沉降变形影响显著,通过设置分隔墙分区开挖及MJS工法墙进行变形控制,能够较好地控制基坑的空间效应,减少“长边效应”、“异形效应”等对桥梁沉降变形的影响。通过现场基坑开挖过程实际监测结果,验证这一综合变形控制方案的可行性。该研究成果对于类似复杂地质条件下深大狭长异形基坑的支护及施工设计具有很好的借鉴意义。     

南水北调地下水回补对潮白河冲洪积扇中上部地表形变响应及控制因素

2014年南水进京后,持续开展地下水回补对于遏制和减缓地面沉降发展起到重要作用,但地下水回升由此带来的不同区域、不同层位的地面沉降与回弹机制及其控制因素尚不明确。深入探讨和研究回补时间、回补量、回补地点与水位及地表形变之间的关系,了解地表形变发生机理和识别主控因素,为后续如何科学回补,发挥最大化水资源回补效益、对地面沉降防治和超采区治理具有极其重要意义。本文以潮白河冲洪积扇中上部区域为例,采用永久散射体差分干涉测量（PS InSAR）技术获取研究区地面沉降形变信息,并结合区域分层地下水位动态变化、分层沉降变化等多手段进行耦合,查明研究区地表形变与多因素之间的响应与控制因素。结果表明:南水持续回补导致区域地面沉降减缓,并在牛栏山地区出现地表抬升,抬升范围也随着水位上升逐渐向中下游扩展,2022年最大回弹速率达46.9 mm/a;地表形变具有明显的受断裂所控制的第四系沉积差异特性,以黄庄—高丽营断裂、顺义断裂和南口—孙河断裂所分割的后沙峪凹陷范围内变化明显大于其他地区;地下水位变幅与富水性差异决定水位上升范围与响应变化,而沉积构造作用所造成第四系沉积差异在地下水流向上具有一定控制作用。结果为地面沉降防控和机理研究提供理论和科学依据,同时也为后续开展地下水科学回补和方案优化提供指导和借鉴。     

可解释性长短期记忆模型用于预测湖泊总磷浓度变化

对湖泊总磷的变化预测和来源识别对水资源调度和流域生态治理有着重要的意义,然而复杂的生化反应和水动力条件导致的非平稳性给湖泊总磷浓度的准确预测带来极大的困难。为克服这一挑战,本文引入了基于加权回归的季节趋势分解(seasonal and trend decomposition using Loess,STL)技术和夏普利加法(SHapley additive exPlanations,SHAP)结合长短期记忆网络(long short-term memory neural network,LSTM)和门控循环单元(gated recurrent unit,GRU)构建了一个可解释的预测框架,以增强对湖泊总磷浓度演变的预测并提高其可解释性。研究表明:(1)在骆马湖总磷浓度的预测中,该框架拥有较好的预报精度(R²=0.878),优于LSTM和卷积长短期记忆模型(convolutional neural networks and long short term memory network,CNN-LSTM)。当预测时间步长增加到8 h时,该框架有效提高了总磷浓度的预测精度,平均相对误差和均方根误差分别降低了47.1%和33.3%。从预测趋势来看,骆马湖在汛期的总磷平均浓度为0.158 mg/L,相较于非汛期的平均浓度,增加了202.1%。(2)运河来水是骆马湖总磷浓度最重要的影响因素,贡献权重为60.0%,并且不同断面(三湾、三场)的污染源受水动力、气象等因素的影响存在显著的时空差异。本文凸显了神经网络模型在预警水体污染方面的可实施性,并且为提高传统神经网络的学习能力和可解释性的开发与验证提供了重要方向。     

南水北调西线工程区地质图三维可视化表达及其意义

传统地质图由于采用正射投影的方法表达地质现象,只能表达地质现象在二维欧氏空间的定位,很难表达地质现象的三维空间特征。结合数字高程模型,在地理信息系统的支持下制作的南水北调西线工程区的三维可视化地质图,可更好地判读地质体的空间信息,便于分析地质体的空间展布规律。     

低密度钻井液DMZ的开发与应用

钻井液是钻探施工的血液,低密度无固相钻井液ＤＭＺ,能有效解决小口径绳索取心钻探中出现的钻杆内结泥皮、岩粉携带能力差、失水量高等问题。     

Desert vegetation and timing of solar radiation

Timing and amount of solar radiation were examined as factors influencing the distribution of seven perennial plants on a small mountain located in the Chihuahuan Desert. Average direct beam solar radiation fluxes at differing times throughout the day and year were estimated with computer calculations. Principal components analysis was used to reduce the number of solar radiation parameters and include the maximum available information with a manageable number of variables. The remaining solar radiation parameters were compared to plant distributions using redundancy analysis and generalized additive models. Unimodal, bimodal, and monotonic responses were all found depending upon the species and solar radiation parameter. Niche separation at this location depends upon the timing as well as the amount of solar radiation.     

高七井水温映震规律浅析

通过对高七井水温多年资料的整理,在总结以往震例的基础上,分析水温异常与地震预报的对应规律,对高七井水温映震效能进行初步探讨.高七井水温异常为阶跃上升型,异常形态具有继承性,水温异常对地震短临预报具有指导意义.