PSO和SVM混合算法确定太湖入湖河流水质主要影响因子

以影响太湖入湖河流水质的24个因子值为研究对象，将PSO算法与SVM算法相结合。PSO算法用于优化SVM算法的参数c和g，以利于快速、高效地确定c和g的全局最优值；SVM算法基于最优的c和g，分别以24，21，18，15，12，9和6个因子作为特征向量预测水质的污染程度。结果表明，当特征向量为9个影响因子时预测率最高。其参数c=18.56，g=1.35，对应的预测率为：全局预测率92.59%，重度污染水质预测率88.89%，轻度污染水质预测率94.45%。因此，通过PSO和SVM混合算法，可以确定影响太湖入湖河流水质的主要因子，利用这些主要因子对水质进行预测预警，不但可以节省时间，而且可以得到精确的结果。     

1986-2020年上海苏州河水质时空变化特征

以1986-2020年苏州河水质监测数据为依据,将水质变化过程划分成1986-1996年、1997-2006年和2007-2020年3个阶段,系统分析了苏州河水质状况及多年时空变化特征。结果表明,在第1阶段(1986-1996年),苏州河整体处于重度污染水平,从上游到下游水质显著恶化,市区段污染严重;在第2阶段(1997-2006年),苏州河市区段水质显著改善,有机污染指标消除劣Ⅴ类,氨氮和总磷仍处于较高污染水平,上下游水质逐渐趋同;在第3阶段(2007-2020年),苏州河水质持续改善,特别是2016年以来改善明显,2020年水质达到34年来的最好水平。苏州河水质改善与上海市实施的全市及苏州河多轮环境综合治理工程、上游来水水质改善等密切相关,反映了苏州河30多年环境综合治理的突出成效,并为城市黑臭水体治理提供经验。     

湘江流域永州段水质和水文气象因素变化规律及其相关分析

为推进湘江流域永州段水资源保护,加强水质预测,利用2014—2018年冷水滩断面水文气象和水质监测数据,基于相关分析、主成分分析等多元统计方法,研究分析了湘江冷水滩断面水质、水文气象因素变化规律以及两者的相关关系、量化关系。结果表明:该地区水文气象因素对水质影响最大,水质与水文气象因素之间的相关关系显著,水文气象因素是影响湘江流域水质的重要因素;溶解氧与水温、降水量呈线性回归关系,高锰酸盐指数与水位呈线性回归关系,高锰酸盐指数拟合回归方程的精度略低于溶解氧拟合回归方程。     

BP神经网络改进算法预测水质浓度的应用

探讨了黄河兰州段地表水水质浓度预测的BP神经网络法，建立了一种动态的、及时的、超前的BP神经网络预测模型。并在标准算法的基础上用2种改进算法同时进行比较。结果表明，改进的BP算法在水质浓度预测中更能胜任，时间短、准确度高。     

河流水质变化趋势的灰色多变量予测模型

关于水体水质预测,目前尚处于发展形成阶段.其方法大体可分为相关法与模型法两类[1].相关法是指将水质参数与影响该水质参数的主要因素建立相关关系,由此作为预测依据.模型法是选用合适的水质模型进行水质预测.一般而言,由于相关法是基于概率统计原理,这就要求有较大的样本量,而模型法则需较深入地研究扩散、降解特性,以求得方程中的有关参数.相比之下,灰色预测方法在此     

2002-2021年渤海叶绿素a浓度变化及环境响应分析

基于2013-2021年渤海遥感反射率和叶绿素a浓度等实测数据,开展了该海域MODIS影像的叶绿素a浓度遥感反演模型研究。选择OC3经典模型形式,采用渤海的实测数据进行拟合分析,获取了适用于渤海的模型局地化参数,通过真实性检验得到叶绿素a浓度的遥感反演结果与实测值的决定系数为0.84,平均相对误差为24.77%,均方根误差为5.56 μg/L,反演精度较佳。利用该算法反演获取了渤海2002-2021年叶绿素a的月度、季度和年度平均浓度,分析了其时空变化特征,同时结合2001-2021年渤海非优良水质比例开展了环境响应分析。分析结果显示:2001-2021年,渤海非优良水质比例与同时期叶绿素a浓度变化趋势基本一致,呈现先变差后变好的倒V形趋势;5年平均的非优良水质比例与叶绿素a浓度变化趋势更直观地反映了2001-2021年渤海整体的水环境变化趋势,与非优良水质比例相比,叶绿素a浓度对渤海水环境的改善响应更快。     

水环境质量综合评价的新模型

为检验已订的水环境质量评价标准的合理性,解决各单项水质指标的评估结果的不相容性问题,提高水质等级模型的分辨率,提出了一种新的水质评价模型-逻辑斯谛曲线(LOG)模型,它的水质等级是连续的实数值;根据LOG模型的参数值可以分析各水质指标值对水质等级的影响程度,从而检验原订水质等级标准的合理性;并给出了基于实码遗传算法的LOG建模的实施方案.实例研究说明,这套方案是实用的和通用的,在其它环境质量综合评价中也具有广泛的应用价值.     

宁夏彭阳水质监测断面的水质评价及预测

基于2011—2015年茹河彭阳水质监测断面的水质数据,采用物元分析法对其断面水质进行评价;建立适用于该监测断面的马尔可夫预测模型对断面水质类别进行预测;同时依据平稳分布对各类水质的重现期作了分析。结果表明:彭阳水质监测断面水质为Ⅲ类;对马尔可夫链预测模型进行验证,满足预测精度;2015年9月和11月的水质类别预测结果均为Ⅲ类,且Ⅲ类水质出现的周期最短,属河流水质常态,其重现期为4.9个月,整体水质较好。     

密云水库浮游藻类和细菌污染现状及趋势分析

为评价密云水库水体富营养化的现状及发展趋势,在水库水面不同方位和不同水深分别布点采样,对水库水质的浮游藻类群落结构、密度和卫生学性状进行了初步监测和评价。结果显示,水体浮游藻类总量有增加趋势,但主要群落结构变化不大,仍以绿藻-硅藻型为主;但蓝藻的比例随水温的增加显著;各项卫生学指标基本在正常范围;同时发现其内湖的蓝藻污染较为严重,对大库区水质形成潜在威胁,应予重视。     

乌伦古湖水质现状、变化趋势及预测

通过对乌伦古湖现状水质及近十年来水质变化趋势的评价,分析了污染成因,并采用灰色预测法预测乌伦古湖未来几年的水质状况,为区域水环境保护和水体污染防治提供科学依据。     

温度对现场荧光法测定水体中叶绿素a的影响

基于高温条件下叶绿素a易降解的性质,分别以纯品叶绿素a和活体藻为实验对象探讨了温度对荧光法测定叶绿素a的影响程度及影响机理。结果显示,温度升高会提高叶绿素a的降解率,在一定温度范围内叶绿素a的相对荧光强度与温度呈良好的负线性相关;首次计算导出了叶绿素a、斜生栅藻、蛋白核小球藻及铜绿微囊藻的温度系数分别为0.30%、1.09%、1.17%及1.14%;此外,验证了在现场测定中当环境温度为15~35℃时温度对水体叶绿素现场检测仪的影响甚微,测定结果在可接受范围内。     

考虑水温变化的变降解系数在北京市北运河水质模拟中的应用

综合降解系数是水质模拟预测、水环境容量计算中的关键参数之一,并且受温度影响较大。首先基于北京市北运河代表站2010年逐日水温资料,根据描述氨氮降解系数与温度之间数量关系的经验公式,得到随水温变化的动态降解系数以及年均水温对应的恒定降解系数,并采用模型试错法进行修正。然后基于MIKE11模型,模拟了采用变降解系数和恒定降解系数2种情景下北运河榆林庄断面氨氮浓度的变化。结果表明:2种情景均能较好地模拟氨氮浓度的年变化趋势,但采用变降解系数下大多月份模拟得到的月均质量浓度相对实测值误差较小,尤其是4—12月各月平均质量浓度模拟误差控制在15%以内,全年日均质量浓度模拟误差不足4%,模型表现更为稳定。     

室温平衡顶空气相色谱法测定水中挥发性卤代烃影响因素的研究

对室温下用顶空气相色谱法测定水听军发性卤代烃的影响因素进行了研究，结果表明，随着样品浓度的增高，平衡时间缩短；气液平衡瓶体积增大，平衡时间加长；同一瓶样品重复进样次数不得多于2次；适宜的气液体积比为1：2。室温平衡顶空气相色谱法简单易行。     

Toward a Practical Method for Setting Screening-Level, Ecological Risk-Based Water Temperature Criteria and Monitoring Compliance

We integrated basic concepts from fisheries science and toxicological risk assessment to form a potential method for setting screening-level, risk-based, site-specific water quality objectives for temperature. In summary, the proposed approach: (a) uses temperature impacts upon specific growth as a measure of chronic (cumulative) temperature effects; (b) explicitly incorporates the consequences of both magnitude and cumulative duration of exposures; (c) adjusts the result for local watershed conditions, reducing the likelihood that naturally warm systems are identified as thermally polluted while helping to ensure that naturally cool systems are closely monitored for ecologically harmful changes in thermal regime; and (d) expresses the net result both graphically and as a risk quotient, RQ, closely analogous to that used in toxicological risk assessments. The latter yields a site-specific, risk-based water quality objective and may serve as a straightforward decision rule for environmental managers. The method was applied to historical data from a small British Columbia stream subject to increasing urban development pressures. We also illustrate how the technique might be used to explore potential climatic change impacts, using coupled general circulation model predictions in conjunction with empirical downscaling. Overall, the method and results are presented as an introduction and illustration of concept, intended as a step toward the development of a logistically feasible risk-based approach to establishing screening-level, site-specific water temperature objectives, and monitoring compliance, in the context of large-scale, many-site, environmental monitoring networks. With further work, the technique offers potential to fill the gap between the temperature threshold-based targets typically specified in regulatory guidelines, which may be hydroecologically unrealistic, and detailed biophysical modelling, which typically is logistically infeasible in a day-to-day environmental monitoring and management context.     

Optimized Coagulation of High Alkalinity, Low Temperature and Particle Water: pH Adjustment and Polyelectrolytes as Coagulant Aids

The Yellow River in winter as source water is characterized as high alkalinity, low temperature and low particle concentrations, which have brought many difficulties to water treatment plants. This study fully examines the optimized coagulation process of the Yellow River by conventional and pre-polymerized metal coagulants, pH adjustment and polyelectrolytes as the primary coagulants or coagulant aids. For all the metal coagulants, polyaluminum chlorides are superior to traditional metal coagulants due to their stable polymeric species and low consumption of alkalinity. The removal of natural organic matter by monomeric metal coagulants can be improved through pH adjustment, which is in accordance with the higher concentration of polymeric species formed at corresponding pH value. With the addition of polyelectrolytes as coagulant aids, the coagulation performance is significantly improved. The effective removal of dissolved organic matter is consistent with high charge density, while molecular weight is relatively important for removing particles, which is consistent with polyelectrolytes as primary coagulants. These results suggest that the coagulation mechanisms in the removal of dissolved organic matter and particles are different, which may be exploited for optimized coagulation for the typical source water in practice.     

淮安市区饮用水源水环境现状调查

为了解淮安市区饮用水源水质状况，江苏省水环境监测中心淮宿分中心于1998年—2002年对淮安市区饮用水源地水质进行了监测，结果表明，二河闸水质达Ⅱ类水标准，五毒项目未检出；杨庄闸上游废黄河水质除1999年达Ⅲ类水标准外，其他年份水质均达Ⅱ类水标准，五毒项目未检出；京杭大运河淮安市区段及里运河水质较差，主要是氨氮超标严重，近5年水质基本都是劣于V类水标准。指出，淮河污染问题还没有根本解决，沿淮上游积蓄的污水，时常以小流量下泄，并不时有所增大，经常发生水污染事故；淮阴第二抽水站抽水流量超过40m^3／s时，京杭大运河及里运河污水对淮安市区北京路地面水厂、淮阴区地面水厂两取水口水质产生一定的影响。     

新疆地表水水质现状分析

以2008年新疆环保系统的水质例行监测结果为基础，分析了新疆地表水水质现状。结果显示，全疆57条监测河流Ⅰ～Ⅲ类优良水质断面比例为81．9％，29座监测湖库Ⅰ～Ⅲ类优良水质比例为55．2％，总体上全疆地表水污染尚不严重，水质污染主要集中在少数流经城市河流的下游河段以及尾间湖和纳污水库，且不同区域间的水体污染程度和比例存在一定差别。     

DPX快速萃取程序升温大体积进样GC/MS法测定水中19种多溴联苯化合物

建立DPX快速吸附萃取、程序升温(PTV)大体积进样与气相色谱/质谱(GC/MS)联用,SIM模式同时测定水中19种多溴联苯(PBBs)单体的方法。该方法在PBBs质量浓度1~50μg/L范围内线性良好,19种PBBs单体检出限为0.147~0.230μg/L,相对标准偏差为6.61%~10.5%,加标回收率为61.5%~82.6%。     

伊犁州县市饮用水源地水质现状及水安全保障措施

城市饮用水源地水质直接关系到人民群众的健康和经济发展与社会稳定的大局.根据监测资料,采用国家有关标准,本文对伊犁州县市饮用水源地(河流、水库、地下水)的水质状况进行了分析评价,并提出了相应的保护措施和建议.     

Monitoring of Distribution Water Qualities Under Various Source Water Blending

The main goal of this large-scale pilot distribution study was to systematically investigate the impacts of blending different source waters on distribution water qualities. The principal source waters investigated were conventionally treated ground water (G1), surface water processed by enhanced treatment (S1), and desalted seawater by reverse osmosis membranes (RO). Due to the nature of raw water quality and associated treatment processes, G1 water had high alkalinity, while S1 and RO sources were characterized as high sulfate and high chloride waters, respectively. One year of pilot pipe study demonstrated that water quality was significantly deteriorated by increased color when source water blends with characteristics different from historic groundwater were introduced to pipe distribution systems. Elevated color was associated with release of iron corrosion products, mainly from aged unlined cast iron pipes. Iron release increased significantly when exposed to RO and S1 waters: that is, the greater iron release was experienced with alkalinity reduced below the background of G1 water. Lead and copper release to water, on the other hand, enhanced with the application of RO and G1 waters, respectively.