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近些年来,水库水源地藻类暴发频繁,对水库的水生态环境造成了严重的破坏,因此构建一套水库藻类暴发预警指标体系对监控水库生态环境有着重要的意义。文章以浙江省6座水库为研究对象,通过分析研究水库藻类暴发时各理化指标的监测数据,得到以下研究结果:(1)确定了水温、透明度、pH值、总氮、总磷、溶解氧、藻类数量和叶绿素a含量8个理化指标作为水库藻类暴发的预警指标;(2)预警指标的警戒值分别为水温25℃、透明度低于1 m、pH值8、总氮1.0 mg/L、总磷0.5 mg/L、溶解氧8 mg/L、藻类数量100万个/L、叶绿素a含量20μg/L;(3)以藻类数量、叶绿素a含量为控制指标,将浙江省水库藻类暴发预警划分为4级。 相似文献
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以2011年青狮潭水库藻类暴发期的监测数据为基础,分析水体浮游藻类参数(藻类种群结构、优势种类、藻细胞密度)以及水体水质的理化参数(水温、总氮、总磷、叶绿素a)对藻类繁殖的影响,从而研究青狮潭水库藻类水华暴发的机理。 相似文献
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以2009、2010年苏烟水库藻类暴发期的监测数据为基础,分析水体浮游藻类参数(藻类种群结构、优势种类、藻细胞密度)以及水体水质物化参数(水温、总氮、总磷、叶绿素a)等有关参数对藻类繁殖的影响,从而研究苏烟水库藻类水华暴发机理。 相似文献
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为了解水中藻密度与影响因子的关系,本文对李家河水库2021年16种水质监测指标值进行分析研究,明确了藻密度与叶绿素含量的强相关性,确定了影响藻密度的环境因子主要为总磷、水温、p H值和浊度。分别采用多元线性回归和MLP神经网络构建藻密度与环境因子类水质指标的相关模型。对2022年上半年藻密度分布曲线预测发现,两个模型相结合预测效果比单独模型更为准确。研究结果对中小型水库藻类预测与防治具有一定的推广应用价值。 相似文献
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为研究三峡水库汛期调度对支流水华的抑制效果,于2022年6月24日—7月3日,跟踪监测三峡水库调度前期、调度期、调度后期代表性支流小江的藻类群落结构与水体理化因子,采用Kruskal-Wallis秩检验分析调度前后的水环境变化,采用Pearson相关分析和逐步回归分析探究藻类与环境因子的关系,采用RDA分析探究不同环境因子对藻类群落结构变化的贡献度,构建结构方程模型解析水库调度对水华的影响。结果显示,调度前期小江常年回水区发生蓝藻水华,以叶绿素a浓度表征的藻类生物量最高达到58.33μg/L;通过调度水位抬升后,藻类生物量降至6.41μg/L。回水区水温、pH值、总氮(TN)浓度降低,总磷(TP)浓度、硝酸盐(NO-3-N)浓度升高(p<0.01);逐步回归分析结果表明藻类生物量受水位变化过程中的TN、NO-3-N、磷酸盐(PO■-P)、水温、电导率(Cond)和化学需氧量(COD)的影响,共解释了79%的生物量变化。结构方程模型表明,水位抬升能降低COD浓度,显著降低支流水体的叶绿素a含量。... 相似文献
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闹德海水库叶绿素a与生态因子的灰关联分析 总被引:1,自引:0,他引:1
本文应用灰关联分析方法进行数据分析,在水温、水深等7项环境因素中找出影响叶绿素a的主要因素。结果表明,闹德海水库浓度大小即藻类含量高低主要由总氮、总磷,水温及有机污染决定。 相似文献
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福建省山仔水库富营养化特征 总被引:6,自引:0,他引:6
通过水质主要指标的时空变化以及气象、水文条件等因素,研究山仔水库富营养化特征。研究表明,山仔水库1997~2005年年平均质量浓度总氮为0.59~2.89mg/L,总磷为0.035~0.063mg/L,总氮、总磷从1997年开始呈现下降趋势,2001年后又有所回升,水库的进口、支流入口的总磷、总氮、COD、藻类数量相对较高。在1年内藻类种群冬、春季以硅藻为主,其余季节以蓝藻为主,水花微囊藻为优势种群持续的时间最长,每年的春末、秋初有2个藻类生长的高峰期。枯水年份水库水体滞留时间长,水力交换能力差,是导致2000~2004年水库水华频繁暴发的主要原因。 相似文献
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洋河水库污染现状及对策分析 总被引:1,自引:0,他引:1
通过对洋河水库污染源进行了调查分析,结果表明:(1)西洋河淀粉废水和东洋河地表径流是水库的主要污染源;(2)2004年西洋河淀粉废水排入洋河水库的总磷量为19.4 t,占全年入库总磷量的68.5%;(3)东洋河流域含氮量比较高,2004年通过地表径流带入水库的总氮量为292.8 t,占全年入库总氮量的50.2%。在调查水库污染源的基础上,建立水库水质经验模型并分别对模型进行验证,结果表明,OECD模型能较好预测洋河水库总氮、总磷浓度。最后利用该模型,对所提出的洋河水库富营养化防治方案进行计算分析比较,并确定合适的防治方案。 相似文献
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Kaishan Song Lin Li Lenore Tedesco Shuai Li Kun Shi Bob Hall 《Water Resources Management》2014,28(9):2563-2581
Morse Reservoir, a major water supply for the Indianapolis metropolitan area, IN, USA, experiences nuisance cyanobacterial blooms due to agricultural and point source nutrient loadings. Hyperspectral remote sensing data from both in situ and airborne AISA measurements were applied to an adaptive model based on Genetic Algorithms-Partial Least Squares (GA-PLS) by relating the spectral signal with total nitrogen (TN) and phosphorus (TP) concentrations. Results indicate that GA-PLS relating in situ spectral reflectance to the nutrients yielded high coefficients of determination (TN: R 2?=?0.88; TP: R 2?=?0.91) between measured and estimated TN (RMSE?=?0.07 mg/L; Range: 0.6–1.88 mg/L), and TP (RMSE?=?0.017; Range: 0.023–0.314 mg/L). The GA-PLS model also yielded high performance with AISA imaging data, showing close correlation between measured and estimated values (TN: RMSE?=?0.11 mg/L; TP: RMSE?=?0.02 mg/L). An analysis of in situ data indicated that TN and TP were highly correlated with chlorophyll-a and suspended matter in the water column, setting a basis for remotely sensed estimates of TN and TP. Spatial correlation of TN, TP with chlorophyll-a and suspended matters further confirmed that remote quantification of nutrients for inland waters is based on the strong association of optically active constituents with nutrients. Based on these results, in situ and airborne hyperspectral remote sensors can provide both quantitative and qualitative information on the distribution and concentration of nutrients in Morse Reservoir. Our modeling approach combined with hyperspectral remote sensing is applicable to other productive waters, where algal blooms are triggered by nutrients. 相似文献
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青岛棘洪滩水库氮磷营养盐分析 总被引:2,自引:0,他引:2
根据棘洪滩水库2000—2009年水质监测数据,分析该水库水体中总氮(TN)、总磷(TP)及叶绿素(Ch-l a)等水质指标的变化情况,并进行富营养化评价。结果表明:TN质量浓度超出地表水Ⅴ类标准,TP质量浓度满足地表水Ⅱ类标准,ρ(TN)/ρ(TP)值为80.6~246.2,水库属于磷(P)限制型。TN质量浓度冬季、春季较高,夏季、秋季逐渐降低;TP、Ch-la质量浓度在夏末和秋季较高,春季和冬季较低。水库营养盐主要来源是引水,水库水质2000—2009年近10年的营养程度均为中营养。 相似文献
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分析官厅水库夏季(8月份)叶绿素a浓度短时变化特征,对于水库水体富营养化研究具有重要意义。利用以分钟为步长的水温、水深及叶绿素a浓度实测数据及气象数据,对叶绿素a浓度垂向及昼夜变化特征进行了分析。结果表明:叶绿素a浓度最高值是表层浓度的1.5~2倍,其出现位置与温度跃层位置基本一致。叶绿素a浓度具有昼夜周期性变化特征。白昼,温度跃层以上叶绿素a浓度随水深增加逐渐增加,在温度跃层以下,随水深增加逐渐降低;夜间,温跃层以上叶绿素a浓度基本稳定不变,在温度跃层以下与白昼变化趋势相同。表层水体叶绿素a浓度夜间大于白天,且与光照及表层水温呈负相关。水库叶绿素a浓度短时分布特征主要与温度分层以及限制性营养盐磷的释放有关。 相似文献
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针对目前关于叶绿素a(Chl-a)与水质因子关系的研究成果多是基于分析水华发生后水质资料的现状,以我国南方某水库2003年2月—2009年12月的水质资料为基础,分析水华(2006年)前后水库Chl-a随时间的变化特征和Chl-a与总氮(TN)、总磷(TP)、pH值、透明度(SD)和溶解氧(DO)的相关关系。结果表明:水华发生前(2003—2005年)叶绿素a峰值主要出现在夏季,水华发生后(2007—2009年)叶绿素a峰值集中在冬季出现,冬季发生水华的可能性增加;水华发生前Chl-a与TN、TP、SD、pH值、DO均无显著的相关关系,水华发生后Chl-a与TP、SD、pH值、DO的相关关系显著增强,表现为直接或间接的线性关系。 相似文献
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丁二峰 《南水北调与水利科技(中英文)》2011,9(6):87-89
采用2010年衡水湖监测数据,运用回归统计方法,分析衡水湖水体叶绿素a浓度变化特征,及其与TN、TP、TN/TP的相关关系,建立相应的回归方程.结果表明:衡水湖叶绿素a浓度在时间上变化规律与TP的变化较为一致,为7月、8月>9月>10月>6月、11月>5月,其对数与TP的对数呈明显正相关,与TN/TP的对数有显著负相关关系,而与TN的对数则无明显的相关性. 相似文献
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With the impoundment of the Three Gorges Reservoir, algal blooms have been found in some tributaries. In this study, according to the theoretical analysis of the eutrophication mechanismin a river-type reservoir tributary, a one-dimensional eutrophication model was developed for the Xiangxi River tributary of the Three Gorges Reservoir, and the influence of hydrodynamic conditions on the primary growth rate of algae was investigated. Furthermore, numericalpredictions of hydraulic variables and eutrophication factors, such as the concentration distribution of TP, TN, and Chl-a in the spatial and temporal domains, were carded out. Comparison of computation results of TP, TN, and Chl-a concentrations along the river in the spring of 2005 with experimental data demonstrates the validity of the model. The agreement between the computation results and the experimental data of TP and TN concentrations is better than the agreement between those of Chl-a concentration. The simulated results also show that the Chl-a concentration downstream is much higher than that in the upstream tributary, which potentially indicates the outbreak of algae in this area. Therefore, this study provides a feasible method of accurately predicting the state of eutrophication in river-type reservoirs and their tributaries. 相似文献
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The water quality in the Danjiangkou Reservoir has attracted considerable attention from the Chinese public and government since the announcement of the Middle Route of the South to North Water Diversion Project(SNWDP), which commenced transferring water in 2014.Integrated research on the evaluation, prediction, and protection of water quality in the Danjiangkou Reservoir was carried out in this study in order to improve environmental management. Based on 120 water samples, wherein 17 water quality indices were measured at 20 monitoring sites, a single factor evaluation method was used to evaluate the current status of water quality. The results show that the main indices influencing the water quality in the Danjiangkou Reservoir are total phosphorus(TP), permanganate index(COD Mn), dissolved oxygen(DO), and five-day biochemical oxygen demand(BOD5), and the concentrations of TP, BOD5, ammonia nitrogen(NH3e N), COD Mn, DO, and anionic surfactant(Surfa) do not reach the specified standard levels in the tributaries. Seasonal Mann e Kendall tests indicated that the COD Mn concentration shows a highly significant increasing trend, and the TP concentration shows a significant increasing trend in the Danjiangkou Reservoir. The distribution of the main water quality indices in the Danjiangkou Reservoir was predicted using a two-dimensional water quality numerical model,and showed that the sphere of influence from the tributaries can spread across half of the Han Reservoir if the pollutants are not controlled.Cluster analysis(CA) results suggest that the Shending River is heavily polluted, that the Jianghe, Sihe, and Jianhe rivers are moderately polluted, and that they should be the focus of environmental remediation. 相似文献