Microcosm experiments on the effect of nutrient enrichment and a soil layer on the development of freshwater plankton

We investigated the response of phytoplankton and zooplankton to experimental alteration of nitrate and phosphate levels in outdoor enclosures. Experiments were conducted in summer and winter and in the absence and presence of a layer of soil. The tubs (12 in all) except the two plain water controls were manured initially with a mixture of fresh cowdung (50g 1⁻¹), mustard oil cake (25 g l⁻¹) and poultry wastes (25 g l⁻¹; mostly excreta), prior to enrichment. Water samples were collected from the experimental tubs twice a week to measure selected physico-chemical and biological variables. Water temperature in the summer experiments ranged from 20–30 °C and during the winter experiments from 11–15 °C. The pH values ranged from 8.0 to 9.5 and the dissolved oxygen levels from 8.2–10.0 mg l⁻¹. The levels of soluble reactive phosphorus and nitrate nitrogen ranged from undetectable levels to 1800 μg l⁻¹ and 6000 μg l⁻¹, respectively. The increase in chlorophyll-a following enrichment was rapid (3–7 days) during summer, but slower in winter (7–14 days). The predominant phytoplankton species observed in the tubs belong to the genera Sphaerocystis, Chlorella, Scenedesmus, Cosmarium, Ulothrix, Zygnema, Gonium and Pandorina. The rotifer species observed were Brachionus calyciflorus, Rotaria neptunia, Lecane bulla, L. luna, L. unguitata, Euchlanis dilatata, Asplanchna intermedia, Pseudoharringia spp., Eosphora spp., Lepadella ovalis, Epiphanes brachionus, Hexarthra mira and Cephalodella gibba. The cladocerans observed were Macrothrix spp. and Alona spp.     

花鸟山外海域几种形态磷在柱状沉积物中的分布及环境意义

综合运用 SEDEX化学法、ASPILA化学法和 XRF仪器分析法 ,对在东海赤潮多发区花鸟山外海域采集的柱状沉积物进行了总磷及其不同形态磷含量的系统分析。研究表明 ,总磷及其不同形态磷在沉积柱垂向上的分布有一定的变化规律。在采样深度范围内 ,总磷 (TP)、有机磷 (OP)和铁结合态磷 (Fe - P)的含量自下而上增高 ,而吸附态磷 (Ad - P)、自生钙结合态磷 (Ca- P)与碎屑态磷 (De- P)的含量向上递减。样品柱具有较均匀的粒度及矿物、化学组成 ,基本可以排除沉积物质来源和沉积环境变化对沉积物中磷含量的影响 ,而且也不能仅仅用早期成岩作用来解释磷的上述行为。不同形态磷在柱状沉积物中的分布规律 ,在一定程度上反映了近年来陆源区环境污染加剧的趋势。     

Geochemical characteristics of phosphorus near the Huanghe River estuary

INTRODUCTIONPhosphorus (P)isanimportantlimitingelementinglobaloceanicproductivity (Holland ,1 978) ,soknowledgeofPisakeytobetterunderstandingofthecyclingofcarbon ,nitrogen,sulfur,andothernu trientelements.Inasimplemassbalancemodel,thelevelofdissolvedPintheoceanisafunctionoftherateofinputviarivers,andtherateofoutputviadepositioninsediments.Inthepresentstudy,thefocusisontheriverinePinputbytheHuangheRiver (YellowRiver)totheBohaiSea,andespeciallyontheamountofPsolubilizedfromsolidphasesupo…     

Spatial variability of soil nutrients in Punta Fort William,Greenwich Island,maritime Antarctic

This study aims to report baseline soil nutrients, specifically the organic carbon, nitrogen and phosphorus profile, in soil samples collected from Puntta Fort William on Greenwich Island in maritime Antarctic. Samples were collected along two transect lines during the early summer of 2008. Ward＇s method of hierarchical agglomerative clustering was employed to group the sampling points based on their physico-chemical properties. In this context, the soil samples can be grouped into three major clus- ters： （1） Samples with intensive biological activities, （2） samples from the area recently exposed by glacial retreat and （3） samples from barren and dried areas. Nutrient contents in Punta Fort William are driven by the intensity of biological activities as well as melt water from the Qnito glacier.     

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。     

闹德海水库水环境氮磷容量预测及防治对策

为保障饮用水源地闹德海水库的水质安全,通过选取不同氮磷允许负荷量的测算模式进行综合分析。结果表明:闹德海水库实际负荷量总氮为139.98 t/a、总磷为28.28 t/a,目前已处于中—富营养化状态;水库若要达到贫—中营养化状态,应削减总氮129.96 t/a,总磷27.27 t/a。为此,从发展农业节水、综合防治化肥、农药、畜禽养殖业污染及治理水土流失等方面提出了科学的污染防治思路及削减对策。     

保靖葫芦磷矿床地质特征及矿床成因

葫芦磷矿床位于古丈背斜南西端,含磷岩系赋存于震旦系陡山沱组下部,总厚度10m、分为A—B—C—D—E—F沉积序列。矿体呈层状,产状稳定,平均厚1m。P_2O_5平均品位氧化矿石为27％;原生矿石为20％,主要由胶磷矿(氟磷灰石)和隐晶石英、以及有机碳和黄铁矿组成。磷矿形成于陆棚至陆坡的静水环境。成矿物质来自海底岩石溶解、地壳深部、海底火山和海洋生物的磷质,它们在盆地中浓缩,在化学和生物化学作用下,磷质局部富集、沉淀成矿。矿床被认为是化学和生物化学沉积成因。     

利用液态磷渣制备乳浊玻璃

为实现炼磷排放的高温液态磷渣的热能、物质的同步回收利用, 并消除其环境污染问题, 通过现场试验, 以高温液态磷渣为主要原料, 直接与16.5%的石英粉和8.5%的高岭土热配合, 再经1450℃熔炼、浇铸成型和850℃乳化热处理, 制得了乳浊玻璃板材.磷渣乳浊玻璃的抗折强度为43.68MPa, 耐酸性为0.51%, 耐碱性为0.04%, 能满足建筑装饰材料的质量要求.ESEM、XRD和EDS分析结果共同表明, 母玻璃的乳浊机理在于主体玻璃中析出了富Ca元素的粒径为0.1~0.4μm的非晶质球形颗粒.由于高温液态磷渣掺量高达75%, 改性剂掺量低且成本低廉, 生产线易于配置, 本研究具有较高的工业化生产可行性、较佳的经济效益和应用前景.      

磷灰石结晶法降低天然水体中磷浓度Ⅰ.不同反应物对降磷效果的影响

利用矿物磷灰石低溶度积特征,以晶体磷灰石作晶胞,引入氟、钙等离子,诱使水中溶解性磷酸盐在磷灰石晶体上沉淀、结晶,使水溶液中磷浓度明显降低。探讨了钙、磷灰石、氟、氯的加入对降磷效果的影响,初步分析了生成产物的结构。实验溶液中磷初始浓度约为5 mg/L,经磷灰石结晶后,最低可降至10μg/L以下,除磷效率可达99%以上。     

露天煤矿周围的四种植被重金属富集和转移特征分析

采用野外调查和室内化学分析相结合的方法,对新疆准东露天煤矿周围常见的假木贼（Anabasis aphylla）、梭梭（Haloxylon ammodendron）、琵琶柴（Reaumuria songoonica）、蛇麻黄（Ephedradistachya）等四种植物对重金属的吸收、富集能力和来源进行了分析。结果表明：植物体内重金属含量大小来看,Zn、Cu、Cr含量较大,Pb、As和Hg含量较少。假木贼根部的Cr含量以及四种植被体内Hg含量均超过了植被生长的正常范围。从植物与相应土壤中的重金属相关性来看,假木贼,琵琶柴体内Zn、Cu元素,琵琶柴体内Zn、Hg、As元素,梭梭体内的Zn、Cu、As元素与相应土壤中的重金属含量相关性较好,植物体内的重金属主要来自于土壤,交通运输,大气降尘等多种来源。植物对重金属的富集和转移能力表明,假木贼（2.89）,琵琶柴（1.14）,梭梭（1.72）对Hg有一定的富集能力,其富集能力大小顺序为假木贼>梭梭>琵琶柴,它们属于潜在的Hg富集植物。蛇麻黄对Cu具有较强富集能力。假木贼,琵琶柴和梭梭对Zn、Cr和Pb具有较好的转移能力。这三种植物对重金属均有一定的耐性,可作为矿区土壤植物修复的优选物种。