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1.
为了确定百花水库营养盐变化特征,选取百花水库5个监测点2014年1月-2018年7月共28个月份的水质实测数据,分析溶解氧、高锰酸盐指数、氨氮、总磷和总氮的年际变化特征.采用基于熵权法赋权的贝叶斯理论对5个监测点的水质综合状况进行评价,并结合水库的实际状况,从生态修复、工业污染源、沉积物中营养盐、水库季节性热分层及农业与生活污染源5个方面对其水质变化的影响因素进行分析.结果表明:2014-2018年水体环境波动较大;除总氮外,各污染指标浓度均有不同程度的下降;综合水质后验概率表明百花水库水质有逐渐变差的趋势;总氮和总磷治理应成为百花水库污染治理的主要方面;生态修复工程的开展和工业污染源的削减是百花水库水质转好的主要影响因素,农业与生活污染源的增加是百花水库水质转差的主要影响因素.  相似文献   
2.
为了解黔中地区浮游植物群落结构特征,同时为了研究功能群对水环境的指示,选取黔中2座典型水库——普定水库和桂家湖水库,分别于2015年的枯水期(1月)和丰水期(8月)进行浮游植物采样分析.结果表明:(1)2座水库营养盐无显著性差异,水动力学参数(水温、混合层深度、透明度、真光层深度、水柱相对稳定性、光的可获得性)存在显著性差异.(2)普定水库共归类出18个功能类群,桂家湖水库共归类出15个功能类群.普定水库优势功能群水期分布特征:枯水期LO→丰水期B+P;桂家湖水库优势功能群水期分布特征:枯水期B+J+Y→丰水期B+J.垂直层面上,普定水库枯水期以甲藻组成的优势功能群LO在三岔街采样点表层藻类生物量达到峰值(18529μg/L),远高于中层和底层水体以及其他采样点,与该点水文特性以及组成LO的甲藻特征有关.丰水期以硅藻组成的功能群P在小河采样点的中层藻类生物量最大(2741μg/L),远高于该点的表层水体及其他采样点,与P类群耐受低光有关.而桂家湖水库由于面积小、水位浅且少有人为干扰,故样点间环境因子差异小,整个水体优势功能群分布高度一致.(3)经RDA分析,水动力学参数、营养盐、p H和电导率是影响普定水库浮游植物群落分布的主要环境因子;桂家湖水库仅水动力学参数(水温和水柱相对稳定性)是主要因子.(4)从浮游植物功能群适宜生境来看,普定水库为富营养水体,桂家湖水库为中到富营养水体.由分析得出隶属于不同水域的2座水库浮游植物群落结构及水环境均存在显著性差异.  相似文献   
3.
我国近些年加快了不动产登记与交易系统的监管力度,而不动产信息的登记与信息整理技术应用还需进一步完善与提升。对不动产登记的相关整合技术进行研究探讨具有现实指导意义。  相似文献   
4.
为了能够准确、快速、大范围地对湖泊富营养化进行监测评价,以贵阳市百花湖为实例,首先,对其水体进行光谱实测与水体采样实验,以及对水体光谱进行归一化、一阶微分、二阶微分等处理,诊断各水质参数的敏感波段,建立其水质参数的高光谱遥感定量模型;其次,探讨湖泊水质高光谱反射率与水质参数浓度之间的定量关系,并采用综合营养状态指数法(TLI)对百花湖富营养化进行评价。结果表明:(1)利用水体光谱的一阶微分反射率分析光谱与水质参数之间的相关性,得出水质参数(Chl-a、TP、TN、SD、CODMn)的敏感波段分别为699nm、823nm、399 nm、563nm、504nm;(2)利用水质参数敏感波段对湖泊水质参数进行估测的效果较为理想,各估测模型R2分别达到0.8276、0.7711、0.7917、0.9213、0.8328;(3)采用水质参数的实测值与估测值对百花湖富营养化评价结果是一致的,且均为中营养化,说明采用高光谱技术对湖泊富营养化的监测与评价是可行的。  相似文献   
5.
Phytoplankton and environmental variables were measured monthly from July 2009 to August 2011 in the Maixi River from the estuary to Baihua Reservoir in the Maotiao River catchment,southwestern China,to understand phytoplankton community structure and environmental factors.The relationship between phytoplankton community structure and environmental factors including hydrological,meteorological,physical,and chemical variables were explored using multivariate analysis.A total of 81 taxa of phytoplankton were identified,which were mainly composed of chlorophyta,bacillariophyta,and cyanobacteria.The phytoplankton community was dominated by Pseudanabaena limnetica during summer and fall and by Cyclotella meneghiniana during winter and spring.The abundance of phytoplankton ranged from 0.24×104 cells/L to 33.45×106 cells/L,with the minimum occurring during February 2010 and the maximum during July 2009.The phytoplankton community was dominated mainly by cyanobacteria from April to September,and by bacillariophyta and pyrrophyta from October to March.Canonical correspondence analysis showed that temperature,pH values,and orthophosphate were the most important driving factors regulating the composition and dynamics of the phytoplankton community in the estuary.Cyanobacteria and euglenophyta abundance and biomass were affected mainly by temperature and pH values,while most chlorophyta and bacillariophyta were influenced by the concentrations of nutrients.  相似文献   
6.
Phytoplankton and environment factors were investigated in 2015 and phytoplankton functional groups were used to understand their temporal and spatial distribution and their driving factors in Wanfeng Reservoir. Seventeen functional groups(B, D, E, F, G, J, Lo, MP, P, S1, T, W1, W2, X1, X2, Xph, Y) were identified based on 34 species. The dominant groups were: J/B/P/D in dry season, X1/J/Xph/G/T in normal season and J in flood season. Phytoplankton abundance ranged from 5.33×10~4 cells/L to 3.65×10~7 cells/L, with the highest value occurring in flood season and lowest in dry season. The vertical profi le of dominant groups showed little differentiation except for P, which dominated surface layers over 20 m as a result of mixing water masses and higher transparency during dry season. However, the surface waters presented higher values of phytoplankton abundance than other layers, possibly because of greater irradiance. The significant explaining variables and their ability to describe the spatial distribution of the phytoplankton community in RDA diff ered seasonally as follows: dry season, NH4-N, NO_3-N, NO_2-N, TN:TP ratio and transparency(SD); normal season, temperature(WT), water depth, TN, NH4-N and NO_3-N; flood season, WT, water depth, NO_3-N and NO_2-N. Furthermore, nitrogen, water temperature, SD and water depth were significant variables explaining the variance of phytoplankton communities when datasets included all samples. The results indicated that water physical conditions and hydrology were important in phytoplankton community dynamics, and nitrogen was more important than phosphorus in modifying phytoplankton communities. Seasonal differences in the relationship between the environment and phytoplankton community should be considered in water quality management.  相似文献   
7.
Toxic cyanobacteria(TCB) are well-known worldwide for their adverse impacts on humans. Species compositions and seasonal variations of TCB in reservoirs depend on interactions between physical and chemical factors. This study was conducted to evaluate the water quality in the Aha Reservoir, Southwest China, focusing on cyanobacteria and cyanotoxins. Water samples were collected weekly or biweekly from May to September of 2015 and used to delineate temporal variations in density and distribution of toxic cyanobacteria and cyanotoxins in the reservoir. Toxic cyanobacteria identified consisted of Aphanizomenon flos-aquae, Pseudanabaena limnetica, Cylindrospermopsis sp., and Microcystis sp., with Aphanizomenon flos-aquae and Pseudanabaena limnetica being the most common and significant toxic genera. The total biomass of cyanobacteria was 17.0 mg/L. Identification and quantification of microcystin variants were conducted by high performance liquid chromatography(HPLC) using a system equipped with a photodiode array detector. Microcystin levels were between 0–3.0 μg/L, MC-RR was around 0–3.0 μg/L and MC-LR was approximately 0–0.9 μg/L. Overall, the results of this study indicate that the investigated reservoirs should be monitored regularly to minimize potential health risks to the human population.  相似文献   
8.
贵州三板溪水库后生浮游动物群落结构的动态变化   总被引:1,自引:1,他引:0  
为探究三板溪水库后生浮游动物的群落结构及动态变化特征,于2012年11月至2013年8月枯水期、平水期及丰水期对三板溪水库后生浮游动物进行3次调查.结果表明:三板溪水库共检测到轮虫19种(属),桡足类3种(属),枝角类7种(属),曲腿龟甲轮虫(Keratella valga)、螺形龟甲轮虫(Keratella cochlearis)、中剑水蚤(Mesocyclops)、无节幼体(Nauplius)和长额象鼻溞(Bosmina longirostris)是主要的优势种.从季节上看,3个时期后生浮游动物物种组成相似度均在60.00%以上,但总丰度出现丰水期(575.03 ind./L)、平水期(541.87 ind./L)、枯水期(373.28 ind./L)逐渐降低的趋势,从空间上看,大坝总丰度变化最显著,为26.62~245.27 ind./L,加池丰度变化范围为159.80~224.10 ind./L,南加丰度变化范围为122.56~169.96 ind./L.总体来说,水库底层浮游动物的丰度相对于表层较低.除枯水期大坝在水深40 m处丰度最高(平均丰度为3.54 ind./L)以及加池在30 m处丰度最高(平均丰度为32.70 ind./L)外,每个采样点的最高丰度出现在0.5~20 m水层,平均丰度在19.03~45.31 ind./L之间.利用Shannon-Wiener指数和丰富度指数评价水质状况得到三板溪水库3个采样点在枯水期和丰水期为β-中污型,平水期除大坝为β-中污型外,南加和加池为轻度污染.  相似文献   
9.
2008年至2009年对贵州红枫湖(HF)、百花湖(BH)、阿哈水库(AH)的桡足类和枝角类动物进行4次采样调查,共发现桡足类5科11属19种,其中包含一未定种。枝角类5科9属14种。三个水库中都存在的桡足类优势种为绿色近剑水蚤、叶片剑水蚤、短尾温剑水蚤;枝角类的优势种为长刺溞、长额象鼻溞;角突网汶溞。桡足类和枝角类的总密度在红枫湖为春季最高,秋季次之,夏季最低;在百花湖为夏季最高,秋季次之,冬季最低;在阿哈水库为春季最高,秋季次之,夏季最低。三个水库季节生物多样性比较:春季的多样性是AH>BH>HF;夏季和冬季是BH>AH>HF;秋季是AH>HF>BH。季节性气候变化和污染是影响桡足类和枝角类动物群落变化的重要因素。  相似文献   
10.
2009年7月至2010年6月,以每月一次的频率对百花湖(水库)麦西河河口浮游植物群落结构和环境因子进行调查.监测到浮游植物66种(属),浮游植物主要由绿藻、硅藻和蓝藻组成,夏秋季湖泊假鱼腥藻(Pseudanabaena limnetica)为优势浮游植物,而冬春季梅尼小环藻(Cyclotella meneghinia...  相似文献   
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