高陡山区开采自然坡失稳分析的神经网络方法

针对山区地下开采自然边坡稳定性分析问题,根据大量工程实测资料,建立了人工神经网络预测模型。通过对人工神经网络算法的改进,选取适当的动量项系数及变步长方法,对已有的实测资料进行了训练和测试,并对丁家河磷矿自然边坡稳定性进行了具体的预测分析,理论计算结果与工程实际情况一致。分析结果表明,所建立的理论模型可用于山区磷矿开采自然边坡稳定性预测分析。     

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.     

Comparative ecophysiology of active zoobenthic filter feeding, essence of current knowledge

The present contribution gives an overview of current knowledge of a comprehensive and steadily growing research field. The first section deals with water pumping and particle retention mechanisms in ciliary and muscular filter feeders. The second section examines the biological filter pumps in order to assess adaptation to the environment. Filter-feeding benthic invertebrates have evolved filter pumps to solve common basic problems. This has led to a large degree of similarity between otherwise distant standing species, which makes comparative studies interesting and important. The present review of zoobenthic filter feeding aims at accentuating such recognition.     

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。     

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。     

三峡库区消落区表层沉积物磷吸附特征

以三峡库区消落区表层沉积物为研究对象,通过对干湿交替沉积物中磷的赋存形式、吸附等温曲线的分析,揭示了干湿交替过程中沉积物磷的分布规律、吸附特征以及磷的源汇变化。结果表明:上覆水总磷变化呈现11月总磷<5月总磷<8月总磷。消落区覆水到出露沉积物最大磷吸附量、土壤最大缓冲能力在增加,磷零吸持平衡浓度、易解吸磷在降低,表明沉积物在夏季出露落干的过程中,固磷能力增强,释磷能力减弱;消落区土壤首次覆水过程中土壤磷呈现出由源到汇的转变。成库初期,覆水时沉积物主要表现为磷的积累,次年水库开闸放水排沙时,消落区表层富磷沉积物被冲刷排出。     

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。     

流域非点源磷素输出负荷估算方法研究

目前水质常规监测频率较低,难以客观反映流域非点源污染物浓度随降雨径流过程的变化情况,结果会低估了流域非点源污染物的输出负荷。本文利用流域次降雨过程的连续水质水量同步监测资料,研究分析次降雨过程与流域非点源磷素输出负荷之间的因果关系,并建立次降雨总量与磷素输出负荷的定量相关关系。研究结果表明,流域次降雨总量与非点源磷素输出负荷之间存在较好的相关关系。通过这种定量关系,以流域次降雨总量为输入,可以更为合理地估算出流域非点源磷素输出负荷。     

Vertical variation of phosphorus forms in surface sediments from Wuli Bay, Taihu Lake, China

1IntroductionPhosphorus,an essential nutrient for the primaryproductivity in freshwater systems,is an important fac-tor controlling lacustrine eutrophication.Although ex-ternal input of phosphorus has been assumed as the vi-tal responsibility for the eutrophication of lakes(ZhuJun et al.,2005),the remobilization of phosphorus insediments has a distinct influence on it as well(Bostr m et al.,1982).The concentrations of totalphosphorus(Ptotal)in the sediments are often related tothe trophic st…