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1.
文章以千岛湖 1998~ 2 0 0 1年连续监测资料为基础 ,运用多元线性回归手段 ,以水温等 7项环境因子对叶绿素a、藻类细胞密度、鱼腥藻细胞密度作回归统计 ,建立多元回归方程 ,初步建立千岛湖蓝藻鱼腥藻细胞密度的预报模型。结果表明 ,水温和溶解氧是千岛湖藻类细胞密度的显著相关因子 ,在控制蓝藻鱼腥藻方面 ,削减入湖的 COD和磷元素总量具有现实意义  相似文献   

2.
基于BP神经网络的藻类水华预测模型研究   总被引:2,自引:0,他引:2  
以宁波大学校内池塘2009年3—10月间30周的监测数据为基础,运用BP人工神经网络方法构建预测模型,探求颤藻生物量与总氮、总磷、透明度等6项环境因子之间的关系,选出最佳预测模型,并对模型进行敏感度分析。结果显示:①BP神经网络模型对颤藻生物量预测值与实测值之间拟合程度良好,相关系数达到了0.984,说明BP神经网络模型可以用于水体中藻类水华的短期预测。②通过对构建的BP神经网络模型进行敏感度分析,阐明了宁波大学校内池塘藻类水华的主要驱动因素,并指出控制水体的pH是宁波大学校内池塘藻类水华防治工作的重点。  相似文献   

3.
于2016年4月对秦山岛周边海域5个断面20个站位浮游植物进行调查,共鉴定出浮游植物5门84种,平均密度1.10×10^5个/m^3,优势类群硅藻(70种)平均密度为8.75×10^4个/m^3,甲藻9种,平均密度为8.10×10^3个/m^3;优势种主要为琼氏圆筛藻(Coscinodiscus jonesianus)(Y=0.095)、星脐圆筛藻(Coscinodiscus asteromphalus)(Y=0.087)、针状蓝纤维藻(Dactylococcopsis acicularis)(Y=0.087)、中肋骨条藻(Skeletonema costatum)(Y=0.070)、夜光藻(Noctiluca scientillans)(Y=0.058)、刚毛根管藻(Rhizosolenia setigera)(Y=0.051)等11种;多样性指数平均值为2.76,种类分布相对均匀。受沿岸4条河口淡水径流及营养元素输入影响,靠近河口的C、D断面浮游植物密度较高,琼氏圆筛藻、星脐圆筛藻、中肋骨条藻、针状蓝纤维藻等具有较高优势度,但密度较低,赤潮风险较低;各断面优势种组成存在一定更迭。  相似文献   

4.
以大宁河春季水华期间调查数据为基础,运用数理统计分析手段,通过描述大宁河春季水华期藻类及主要理化因子分布特征,揭示出影响藻类生长的主要因子。结果表明:大宁河春季水华期水华河段水体氮、磷含量较高,总氮浓度为1.2~4.11mg/L,平均值为1.748mg/L,总磷浓度为0.027~0.615mg/L,氮磷比均值为17.5。春季水华藻类适宜的光照强度为1400~3800lx,水温为13.0~14.0℃时叶绿素a含量有最大增长,平均水温为13.4℃,藻密度与总氮、总磷、水温、DO、pH、浊度、高锰酸盐指数呈显著正相关关系,与透明度呈负相关关系。回水河段流速小于0.05m/s,流速是藻类生长最主要的限制因子。大宁河回水河段春季水华藻类分布较广,主要有甲藻门、绿藻门、硅藻门、隐藻门、蓝藻门、裸藻门和黄藻门7门28属,其中甲藻门分布最广,其次是绿藻门。春季水华优势种主要有甲藻门的拟多甲藻,绿藻门的衣藻、小球藻,硅藻门的直链藻,蓝藻门的色球藻等。  相似文献   

5.
新安江水库浮游植物群落特征及影响因素分析   总被引:4,自引:2,他引:2       下载免费PDF全文
为了解新安江水库浮游植物群落特征及影响因素,于2008年1月—2009年12月,对其浮游植物和相关理化因子进行了单月1次的采样。共检测到浮游植物103种(属),浮游植物密度为1.46×106~2.55×107cells/L,年平均密度为6.09×106cells/L,春、秋季出现2个密度峰值;浮游植物组成随季节变化有所不同,春、冬季硅藻、隐藻占优势,夏季蓝藻、绿藻占优势,秋季蓝藻、硅藻占优势;浮游植物密度与TP、Chl-a及上月降水量均呈显著正相关,与透明度呈显著负相关,与TN相关性不明显;水库的水文形势季节性变化显著影响浮游植物结构和密度的变化,浮游植物生长短期效应明显受流域降水和温度双重影响;从大尺度生态效应角度看,食物网的下行效应可能是目前影响新安江水库浮游植物密度的主导因素,大规模滤食性的杂食性鱼类对浮游动物造成较高的捕食压力,间接促进了浮游植物种群的增长;磷是关键的营养盐因子,保持水体低磷浓度和氮磷比大于100,对降低浮游植物密度有现实意义。  相似文献   

6.
基于多元回归理论的太湖湖泛预警模型研究   总被引:1,自引:0,他引:1  
在太湖宜兴段藻源性湖泛高发区设立4个监测点,以湖泛发生的物质基础"藻类生物量"为研究对象,运用数据分析软件SPSS对监测点的藻类生物量、水质、气温等数据进行相关分析,建立了以藻密度为因变量的多元逐步回归模型。结合往年太湖藻源性湖泛发生时的气象条件等历史资料以及相关藻密度阈值的报道,构建了太湖宜兴段藻源性湖泛高发区监测预警模型系统,该模型能够基于监测点的实时水质数据和气象预报数据,对监控区域湖水在未来某时间段内发生湖泛风险的可能性进行分级预警。  相似文献   

7.
基于BP神经网络的齐齐哈尔地区地下水水质评价   总被引:7,自引:0,他引:7       下载免费PDF全文
阐述了人工神经网络基本原理,介绍了BP网络的地下水水质评价模型.在传统的评价方法基础上,根据各评价因子对环境和人类影响程度不同,给水质监测指标分组,从实用角度对水质进行评价.与传统评价方法相比,该评价模型在某评价因子数值极大的情况下,也能准确反映地下水的污染情况,并且通过GIS技术利用评价结果得到地下水水质分布图,从空间反映地下水水质变化规律.  相似文献   

8.
氮、磷等环境因子对太湖微囊藻与水华鱼腥藻生长的影响   总被引:3,自引:0,他引:3  
为探索太湖主要水华藻类(微囊藻与水华鱼腥藻)在多种环境因子作用下的生长变化机理,在实验室内对部分水华藻类(微囊藻、鱼腥藻)进行分离培养,研究氮、磷、温度等环境因子对水华藻类生长增殖的影响。研究表明,高水温(30℃)是微囊藻的最适生长温度;随着氮、磷浓度的提高,微囊藻的生长速率加快;低磷是鱼腥藻生长的限制因子。同时,通过野外测定的各项指标发现,当藻类密度较低时,其与总氮、总磷呈正相关。  相似文献   

9.
利用"哨兵-3"卫星OLCI影像数据,基于其619,665,681,709,753和885 nm中心波长对应的6个波段构建的最大特征峰高度(MPH)算法,采用SNAP 7. 0遥感专业软件,计算了典型日期太湖MPH算法得到的叶绿素a浓度、浮藻区、藻水混悬区、水草区的分布。结果表明:(1) MPH算法能够精确地识别太湖水草和蓝藻;(2) MPH算法能够提取稠密铺集水表层的"浮藻区",并区分出藻密度较小、水华现象轻微~轻度、蓝藻主要浸没在水面以下的"藻水混悬区"。与MODIS、VIIRS等常用的蓝藻水华遥感传感器相比,OLCI展现了更出色、更精细化的水生态遥感监测能力,可提高蓝藻水华预警预报水平。  相似文献   

10.
为研究抚仙湖浮游植物群落结构及其与环境因子的关系。基于2017年4月(春季)、7月(夏季)、11月(秋季)和2018年2月(冬季)抚仙湖浮游植物和部分水质理化指标的监测数据,分析了浮游植物群落结构特征,通过冗余分析(RDA)研究了影响浮游植物群落结构的主要环境因子,同时运用藻类生物学法和综合营养状态指数法TLI(∑)对抚仙湖水质进行综合评价。结果表明,共鉴定出浮游植物7门54属,绿藻在种类组成上占绝对优势。不同季节浮游植物细胞密度存在明显变化,春季细胞密度最高(401.74×10~4 cells/L),其次为夏季(247.31×10~4 cells/L)和秋季(143.41×10~4 cells/L),冬季最低(88.98×10~4 cells/L)。浮游植物优势属在不同季节有所不同,各季节绝对优势属为伪鱼腥藻属(春季)、转板藻属(夏秋季)、小环藻属和蓝隐藻属(冬季)。Shannon-Wiener多样性指数(H′)和Pielou均匀度指数(J)变化趋势一致,夏季值最高,分别为2.76和0.64,冬季值最低,分别为2.13和0.50。Berger-Parker优势度指数(D)变化与H′和J相反,冬季最高(0.945),夏季最低(0.922)。RDA表明,水温、溶解氧和高锰酸盐指数是影响抚仙湖浮游植物群落结构的主要环境因子。综合评价认为,抚仙湖水质处于贫中营养状态。  相似文献   

11.
Radioactivity, physical and chemical parameters of underground boreholes and surface waters in the region of Qua Iboe River Estuary involved in oil production activities were measured. The physical and chemical parameters measured included pH, temperature, turbidity, and concentrations of total dissolved and suspended solids, dissolved oxygen, chemical and biochemical oxygen demand, oils and grease, salinity, hardness (carbonates and bicarbonates), chlorine, sulphide, and metal ions. The work reveals that the radioactivity, physical and chemical parameters determined for both the underground and surface waters are safely below the international permissible limits except that of carbonate (68.6 mg/d – 228.7 mg/l) and bicarbonate (22.9 mg/l – 76.3mg/l) which renders both sources of water hard. The exceedingly high concentration range of hydrogen sulphide (40 mg/l–440 mg/l) in both sources is also beyond the international limit of 0.05mg/l. The ammonium ion concentration (1.40–2.80mg/l) was determined to be slightly higher in both the underground and surface waters than the international limit of 0.5mg/l.  相似文献   

12.
To assess the environmental impacts of large floating structures, various physical, chemical, and biological parameters were measured. The current and water quality were monitored around a prototype floating structure called the Phase-II Mega-Float model (MF-II model), which was moored off Yokosuka in Tokyo Bay during the period 1999–2000. The effects of the MF-II model on the condition of the physical environment, e.g., the direction and flow rate of water currents and the stratification structure, were negligible. Analysis of water quality showed that the concentrations of chlorophyll a and nutrients only varied just below the MF-II model. However, such variations were localized to within 5 m below the MF-II model since the waters were exchanged because of the tidal current. The minor changes in water quality are attributable to the impedance of photosynthesis due to the sea-covering effect and the activities of sessile organisms fouling the bottom surface of the MF-II model.  相似文献   

13.
The ability of general regression neural networks (GRNN) to forecast the density of cyanobacteria in the Torr?o reservoir (Tamega river, Portugal), in a period of 15 days, based on three years of collected physical and chemical data, was assessed. Several models were developed and 176 were selected based on their correlation values for the verification series. A time lag of 11 was used, equivalent to one sample (periods of 15 days in the summer and 30 days in the winter). Several combinations of the series were used. Input and output data collected from three depths of the reservoir were applied (surface, euphotic zone limit and bottom). The model that presented a higher average correlation value presented the correlations 0.991; 0.843; 0.978 for training, verification and test series. This model had the three series independent in time: first test series, then verification series and, finally, training series. Only six input variables were considered significant to the performance of this model: ammonia, phosphates, dissolved oxygen, water temperature, pH and water evaporation, physical and chemical parameters referring to the three depths of the reservoir. These variables are common to the next four best models produced and, although these included other input variables, their performance was not better than the selected best model.  相似文献   

14.
Water quality has degraded dramatically in the Chocancharava River (Río Cuarto, Córdoba, Argentina) due to point and non-point sources. This paper aims to assess spatial and temporal variations of physical and chemical parameters of the river. Six sampling sites and six sampling campaigns were developed. During the period 2007–2008, wet and dry seasons were included. A statistical analysis was carried out with 23 physical and chemical variables. Then, a new statistical analysis was carried out including the Riparian Corridors Quality Index and the physical and chemical variables (24 variables). Considering a multivariate system, analysis of variance, principal component analysis and cluster analysis were used. From the statistical analysis, the river was divided into two zones with different degrees of contamination. The most polluted zone is due to pollution inputs of urban, industrial and agricultural sources. This area showed a remarkable deterioration in water quality, mainly due to wastewater discharges. According to Riparian Quality, better results were found in sections of poor water quality, due to the fact that the river bank forest was less degraded downstream of the sewage discharge.  相似文献   

15.
The soil ecosystem is composed of various groups of organisms which have complex relations. The physical structure and chemical characteristics of the soil provide the boundary conditions. In view of various deteriorating human activities, it is important to find soil quality characteristics with respect to its most important function: the ecological function. An enumeration has been given of chemical, physical and biological soil parameters which are more or less important for soil quality. Several of these parameters are discussed. For use as indicators of deterioration, for a given site, the optimum values of the soil parameters have to be established, as well as acceptable deviations from the optimum, taking into account natural fluctuation. It is concluded that, due to lack of data, such an approach is not possible at this moment. However, it might be possible to identify those soil parameters which should be taken into consideration when evaluating human activities.Paper presented at a Symposium held on 14 and 15 October 1982, in Utrecht, The Netherlands.  相似文献   

16.
This paper presents the results of a study on the quality of stormwater runoff from two adjacent urban watersheds in Singapore. The study involved continuous recording of rainfall and streamflow within the basins, and systematic sampling of storm runoff during rainfall events. The water samples collected were analysed for its physical and chemical constituents. The ranges and mean concentrations of common quality parameters have been established, and the flushing effects of selected parameters were studied. Correlations of event mean concentrations and pollution loads of total suspended solids and chemical oxygen demand to both antecedent dry weather period and rainfall characteristics were also carried out.  相似文献   

17.
The waste slurry generated in fertilizer plants in India has been converted into a cheap carbonaceous adsorbent material. The prepared adsorbent has been characterised and used for the removal of lead and chromium metals. The kinetics of adsorption and the extent of adsorption at equilibrium are dependent on the physical and chemical characteristics of the adsorbate, adsorbent and experimental system. Results of laboratory scale studies conducted to delineate the effect of such parameters on the kinetics of adsorption of metal ions are reported. Parameters evaluated include: hydronium ion concentration, temperature, initial adsorbate concentration, size of adsorbent, and amount of adsorbent. On the basis of these studies the various physical parameters such as effective diffusion coefficient, activation energies and entropy of activation are evaluated, as these provide some information regarding the mechanistic aspects. Mass transfer coefficient values suggest a rapid transport of the adsorbate from bulk to solid phase.  相似文献   

18.
This paper presents the preliminary results of a study, the aim of which was to analyse the pluviometric and chemical rain data, recorded by a wet only network located in Northern Italy.More in detail, precipitations were collected on a weekly basis and chemical analysis was performed on pH, electric conductivity and Ca, Mg, Na, K, NH4, NO3, SO4, Cl concentrations.The Principal Components Analysis pointed out that the first three components are enough to explain more than 90% of the variability of the parameters. Moreover each component may have a different physical interpretation, that is the first one is mainly related to the precipitation amount, while the second to the man made and natural sources and the last one to the sea/soil contribution.  相似文献   

19.
高效率颗粒物微物理模型简介与重污染过程应用分析   总被引:2,自引:2,他引:0  
中国细颗粒物(PM2.5)导致的空气污染和雾霾天气问题越来越突出,在低层对流层中很多地方都有显著的二次颗粒物生成过程,因此对颗粒物物理化学转化过程的研究具有重要意义,其转化过程对空气质量模式模拟和预报的准确性有重要影响。高效率颗粒物微物理(APM)模型经过近20多年的研究和发展,在全球化学传输模型(GEOS-Chem)、区域性气象和化学预报模型(WRF-Chem)通用地球系统模型(CESM-CAM5)等气象及环境空气质量预报模型中取得了很好的应用验证,能够在全球/区域等不同尺度对粒子生成、长大、凝聚、消除等微物理过程以及气溶胶光学厚度(AOD)、直接/间接辐射强迫等进行模拟。应用GEOS-Chem-APM模式模拟了2014年2月京津冀区域的重污染过程。结果显示,湿度模拟的准确性对其他物理和污染物浓度等模拟结果有重要作用;2月20—26日的重污染过程模拟结果与实际观测较为吻合,主要污染特点是较高的湿度(90%以上),同时,二次颗粒物和包裹了二次物种的一次颗粒物(黑碳/有机碳)是低能见度的最大贡献者。  相似文献   

20.
In this paper limnological status of river Suswa was observed for a period of two years. A water quality Beck modified Khanna Bhutiani model (BMKB model) was developed to calculate DO (dissolved Oxygen) and BOD (biochemical oxygen demand). The model was developed to calculate DO and BOD by using DO/BOD of same place and upstream in previous season which results in Single output. This model gives the seasonal value on the basis of previously taken upstream and downstream observations/concentrations of DO and BOD. The model was calibrated and verified for the water quality data (Physico-chemical data) of samples collected from river Suswa in different seasons. The model gave good agreement between data observed by it and the data observed manually, thus substantiating the validity of the model. Only minor differences were observed in physical, chemical and heavy metals of all the four sampling stations during the course of study.  相似文献   

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