土壤溶解性有机质荧光特征及其与铜的络合能力

选取4种不同类型土壤和腐熟鸡粪,透析提取溶解性有机质(DOM),通过凝胶色谱、三维荧光光谱测定并分析了DOM的相对分子质量(M_r)分布、化学结构特征及其与铜的结合能力.结果表明,鸡粪DOM相对分子质量积分面积远高于其他样品,表现出其具有较高的有机物含量,泥炭土次之.暗棕壤、褐土和黑土较低,仅为鸡粪积分面积的4.5%~5%.鸡粪在中分子量段积分面积约占总物质的34.1%,低分子量段和高分子量段分别约占41.7%和24.2%.荧光光谱分析表明,各样品均出现类蛋白荧光峰(E_x/E_m=240~270/300~350 nm),在中、高分子量段(M_r500)暗棕壤存在的荧光峰消失.泥炭土出现了较为独特的可见光区类富里酸荧光峰(E_x/E_m=325/420 nm),该荧光峰和黑土的荧光峰在中、高分子量段(M_r500)都产生了红移现象.鸡粪分别出现了和黑土类似的紫外区类富里酸荧光峰,以及和泥炭土类似的可见光区类富里酸荧光峰,以及一类独特的类蛋白荧光峰(E_x/E_m=280/350 nm),但这种类蛋白荧光峰在中分子量段(500M_r12 000)消失.分析表明泥炭土与Cu的络合常数(lg K)为4.13,其他3种土壤与Cu的络合常数较小且差别不大,集中在2.10~3.10之间.鸡粪与Cu的结合能力最大,络合常数达到6.66.     

三峡库区水体中可溶性C、N变化及影响因素

为了解三峡库区水体中可溶性C、N的变化,本研究于2011年3月至2012年8月在三峡水库涪陵段进行了每周一次的水样采集,分析其中可溶性C、N成分的变化及其来源特征.结果表明,库区水中DOC浓度范围为0.64~9.07 mg·L~(-1),且有明显的季节变化,表现为:夏季春季、秋季冬季,DOC年入库总量为1.78×109kg,入库量具有与浓度相似的季节变化趋势;DTN的浓度范围为2.59~4.35 mg·L~(-1),春季冬季夏季秋季,年入库总量为1.32×109kg,入库量的季节变化特征:夏季秋季春季冬季,其中DON、NO-3-N分别占DTN的30.35%~63.45%、35.87%~67.72%.DOC受降水和温度的影响明显,水中DOC主要来自外源输入,春季、夏季降雨径流其外源输入量增加,而秋季、冬季则内源贡献有所增加;DTN受人为排放和水体稀释的影响相对较大.相关分析表明,DOC与DON呈显著负相关(P0.05),通常以DOC/DON比值反映水中DOM的来源,库区DOC/DON范围为0.35~7.28,DOM来源具有明显的季节特征.夏季DOC/DON较高,DOM主要来自流域侵蚀;冬季DOC/DON较低,DOM主要来自生活污水排放和内源现场产生;春季、秋季DOC/DON介于两者之间,DOM来源包括流域侵蚀、生活污水排放及现场产生等.     

3种生物滞留设计对城市地表径流溶解性氮的去除作用

城市地表径流溶解性氮(N)的有效控制具有挑战性.2015构建了3种不同设计的生物滞留设施:壤砂种植紫穗狼尾草(CB)、壤砂种植紫穗狼尾草设置饱和带(MB1)、壤砂种植紫穗狼尾草设置饱和带并添加10%木块(MB2).在模拟城市地表径流水文、水质变化条件下,研究3种生物滞留种植植物、设置饱和带以及添加碳源对城市地表径流溶解性N(NH_4~+-N、NO_3~--N)的去除作用.通过为期1年试验监测表明,在进水NH_4~+-N浓度平均值为(5.45±2.21)mg·L-1情况下,3种生物滞留对NH_4~+-N均具有显著的去除作用(去除率95%).基质吸附、硝化与植物吸收是生物滞留有效去除城市地表径流NH_4~+-N的主要途径.在进水NO_3~--N平均值为(5.88±2.32)mg·L-1情况下,CB、MB1和MB2出水NO_3~--N浓度的平均值分别为(4.04±2.64)、(0.84±1.18)和(0.26±0.48)mg·L-1,相应去除率分别为31.3%、85.7%和95.6%.生物滞留种植紫穗狼尾草、设置饱和带以及添加碳源均可显著降低出水NO_3~--N浓度,减少NO_3~--N淋溶输出,提高NO_3~--N去除率.植物吸收和微生物反硝化是生物滞留去除NO_3~--N的主要途径.进水NO_3~--N浓度、水量、间隔天数是影响生物滞留出水NO_3~--N浓度的主要因素.生物滞留种植紫穗狼尾草、设置饱和带并添加碳源,在水文、水质变化情况下,仍可有效去除城市地表径流溶解性N.     

长江口及邻近海域春夏季有色溶解有机物时空分布特征及主要影响因素

利用三维荧光光谱(EEMs)-平行因子(PARAFAC)分析技术对长江口及邻近海域春季(2015年3月)和夏季(2015年7月)有色溶解有机物(CDOM)的荧光组成及分布特征进行分析.共识别出2类4个荧光组分,即类腐殖质组分C1(370/495nm)、C2(330/405 nm)、C3(365/440 nm)及类蛋白质组分C4(295/345 nm).春夏季各层4个荧光组分分布模式基本一致,从长江口到邻近海域逐渐降低.春季类腐殖质组分的高值区分布在长江口内,而类蛋白组分高值区位于南槽附近区域,表层的CDOM主要来源于陆源输入和人类活动;中层荧光强度值比表层低,受陆源影响减弱;底层荧光强度值比中层略高,是由沉积物再悬浮造成的.各荧光组分在岱山县附近海域均有一个较高值,这与岛上的居民活动有关.夏季荧光组分高值区与春季相似,各层荧光组分值接近,说明夏季研究区域水体混合较均匀.春夏季腐殖化指数(HIX)在长江口较高,而生物指数(BIX)在邻近海域较高.将4个荧光组分(C1~C4)、吸收系数(a355)与盐度(S)、溶解有机碳(DOC)、总氮(TN)、总磷(TP)、叶绿素a(Chl-a)、溶解氧(DO)做冗余分析.结果表明,4个荧光组分(C1~C4)与总氮(TN)、总磷(TP)主要受陆源输入、人类活动的影响,溶解有机碳(DOC)受陆源与海源的共同影响.本文利用三维荧光光谱-平行因子分析(EEMs-PARAFAC)技术结合多元统计方法解析了CDOM组成,清晰揭示了长江口及邻近海域CDOM的来源及主要影响因子,可为河口海域生源要素海洋生物地球化学研究提供有益的补充.     

基于距离相关系数和支持向量机回归的PM2.5浓度滚动统计预报方案

针对目前空气质量统计预报方法存在的主要缺陷,本文提出了距离相关系数和支持向量机回归相结合的统计预报方案DC-SVR.利用淮安市2013年1—12月PM_(2.5)观测资料和常规气象观测资料,首先在选入预报当日气象要素的基础上,增加选取前期污染物和气象要素作为预报因子,再采用距离相关系数分季节从预报因子中筛选出重要预报因子,最后采用支持向量机回归对PM_(2.5)浓度值进行逐日滚动统计预报.研究发现,淮安地区气温和气压对PM_(2.5)的距离相关性要高于其他气象要素,夏秋季PM_(2.5)与气象要素的距离相关性较春冬季好.基于距离相关系数和支持向量机回归建立DC-SVR模型,PM_(2.5)的试预报值和实测值的全年相关系数高达0.76,平均偏差仅为1.13μg·m~(-3),平均绝对误差为23.47μg·m~(-3).通过与支持向量机回归、人工神经网络的统计预报效果对比,DC-SVR模型有效降低预报因子维数且能自适应选取最佳参数,预报精度显著优于其他3种统计预报方案,可为业务化预报提供参考.     

LOW-HEAD HYDROPOWER IMPACTS ON STREAM DISSOLVED OXYGEN1

ABSTRACT: A method to evaluate the effect of hydropower development on downstream dissolved oxygen (DO) is presented for a low head dam. Water, previously aerated during release over spillways and under gates, is diverted through the hydropower facility without further aeration. The oxygen transfer that occurs as a result of air entrainment at the various release points of a dam is measured. Oxygen transfer efficiencies are calculated and incorporated into an oxygen transfer model to predict average release DO concentrations. This model is used to systematically determine the effect of hydropower operation on downstream DO. Operational alternatives are investigated and a simple operational guide is developed to mitigate the effects of hydropower operation. Combinations of reduced generation and optimal releases from the dam allow the hydropower facility to operate within DO standards.     

GEOHYDROLOGY AND HYDROCHEMISTRY OF THE DAKOTA AQUIFER,CENTRAL UNITED STATES1

ABSTRACT: The Dakota aquifer, composed of the Dakota Sandstone and stratigraphically equivalent sandstone units of Cretaceous age, is the upper-most regional aquifer underlying the extensively developed High Plains aquifer of the midwestern United States. The concentration of dissolved solids in ground water of the Dakota aquifer ranges from less than 500 milligrams per liter in calcium bicarbonate type water in the eastern outcrop area to more than 100,000 milligrams per liter in sodium chloride type oilfield brine in the Denver Basin to the west. Preliminary maps showing the distribution of dissolved solids confirm the complex nature of the Dakota aquifer as inferred from stratigraphic and hydraulic evidence. Extensive vertical leakage through confining layers, local recharge at the truncated eastern boundary, and a barrier to recharge along the western edge of the Denver Basin are consistent with the distribution of hydraulic head and dissolved solids.     

DIGITAL SIMULATION OF THE EFFECT OF THERMAL DISCHARGE ON STREAM WATER QUALITY1

A modified transient version of the Streeter-Phelps model along with the energy balance equation is employed to analyze the effects of waste heat discharge from power plants on stream water quality. Analysis is also made to examine the effects of the upstream water quality and stream velocity on the downstream DO concentration level. The resulting coupled nonlinear hyperbolic partial differential equations representing the energy, BOD and DO concentrations are solved by the method of characteristics and simulated on a digital computer. Final numerical results indicate that the allowable quantity of thermal discharge does heavily depend on the upstream quality.     

Time series in M dimensions: The one-dimensional case: Pollution in the Chicago Sanitary and Ship Canal

A nonstationary time-series model is used to examine the changes occurring at sampling stations on the Chicago Sanitary and Ship Canal. Using data from upstream sampling sites, downstream levels of dissolved oxygen, total dissolved solids, nitrates and nitrites, and ammonia are accurately predicted. The method is simple, insensitive to extreme values, and responsive to changes in the system.     

DESK TOP METHODOLOGY FOR MODELING BIOCHEMICAL OXYGEN DEMAND IN STREAMS1

: The modeling of dissolved oxygen in streams is a widely used technique, upon which a great deal of money has been spent. This paper concludes that the standard methods of DO modeling by computer are unnecessarily complex, and that for some purposes, they can be replaced without loss of accuracy by desk top BOD models. Taking as an example, a set of data used in DO modeling, it is shown (a) that the data are grossly inconsistent, (b) that simultaneous gathering of data introduces errors in streams of long travel time, (c) that much more data as to pollutant concentrations should have been obtained, and (d) that 24-hour DO data could have been dispensed with.