高压粉末制样-X射线荧光光谱法测定海洋沉积物中28种组分

常规粉末压片制样是一种简单、高效的绿色环保制样技术,但是应用于某些沉积物样品制备存在样片表面粗糙和粉末容易脱落的问题。实验采用高于常规的压力进行样品制备,建立了X射线荧光光谱法(XRF)分析海洋沉积物样品中包括硫、氧化钠、氧化镁、三氧化二铝、二氧化硅、五氧化二磷、氧化钾、氧化钙、二氧化钛、氧化锰、三氧化二铁、钴、镍、铜、锌、钒、铬、镓、铌、锆、钇、锶、铷、铅、钡、镧、钕和铪在内的28种主、微量组分的方法。探讨了压力为300 kN和1 600 kN时的制样效果,并尝试引入BP神经网络模型利用其非线性拟合能力校正主量组分的基体效应。结果表明,采用1 600 kN压力制备的样片,表面致密、光滑、不龟裂和不掉粉,制样重复性和测试精密度也有较大提高。以55个有证标准物质中17种组分的数据集为训练样本,建立了海洋沉积物样品中主、微量组分的遗传算法-BP神经网络预测模型。按照实验方法对各组分含量相对较低的实际样品连续测试12次,计算得方法的检出限在 0.63～634 μg/g之间;精密度试验结果表明,各组分测定值的相对标准偏差(RSD, n=7)为0.16%～25.1%。方法用于海洋沉积物实际样品分析,其分析结果与国标法的测定结果吻合,能够满足海洋沉积物样品中多种组分准确分析的要求。     

利用ADCP回波强度估算河流悬移质含沙量的应用研究

通过简要介绍利用声学多普勒水流剖面仪(ADCP)回波强度估算悬移质含沙量的基本原理,结合梧州水文站的应用实例,利用ADCP的回波强度数据和现场采集的水样含沙量建立相关关系,根据相关关系由回波强度反演估算的水体悬移质含沙量验证了利用ADCP的回波强度估算悬移质含沙量的可行性。应用于梧州水文站的实践表明,左河道推算的系统误差为-0.1%,右河道推算的系统误差为1.5%。这种方法具有不扰动流场、测量剖面同步性较好、数据空间分辨率较高的优点,与传统的取样过滤称量法相比,计算效率显著提高。     

森林植被改善对鄱阳湖流域径流和输沙过程的影响

以河流基流为切入点,研究流域植被调节径流、水土保持等微观作用影响大中型河流湖泊径流过程和水沙过程宏观效应的机理。鄱阳湖流域60年来天然降水没有发生趋势性变化。流域森林覆盖率由34.73%上升到63.00%,植被质量改善,赣江等入湖河流基流增加83 m~3/s,河流输沙量减少。2000年以后和2000年以前相比较,枯水期降水径流系数增大,年流量过程平坦化,一定程度上减小洪灾风险,有利于水资源利用和生态环境保护。2001年以后进入鄱阳湖泥沙平均每年减少1 007×10~4t;出湖泥沙增加314×10~4t。因此,鄱阳湖入江水道由淤积转变为冲刷,但出湖流量过程没有趋势性变化。     

连云港海域悬沙和表层沉积物交换研究

采用粒度谱计算方法分析连云港及邻近海域悬沙和表层沉积物交换特征,为徐圩防波堤口门布置和连云港港航道回淤研究提供理论支撑。连云港港主航道和徐圩航道5 m等深线以外的区域悬沙和表层沉积物交换率为0.1~0.2,表明航道回淤强度将处于较低水平,对今后航道维护有利;5 m等深线以内区域的交换率为0.3~0.4,悬沙落淤对航道回淤有一定贡献,表明该航道段回淤量相对较大,计算结果与实测航道回淤强度分布特征基本一致。灌河口沙嘴正常天气条件下交换率小于0.2,说明悬沙落淤对沙嘴的影响较小;5 m等深线以内破波带水域交换率大于0.5,表明悬沙和表层沉积物交换频繁。连云港港及邻近海域悬沙和表层沉积物交换主要为粒径小于62 μm的细颗粒组分。分析结果表明,为减少泥沙回淤对徐圩港区港池正常运行的影响,兴建防浪挡沙堤并将堤头布置在破波带之外十分必要。     

超声辅助提取-固相萃取净化-高效液相色谱法测定沉积物中的2甲4氯残留

[目的]2甲4氯(MCPA)是农业生产和市政管理中一种广泛使用的除草剂,具有使用量大、生物毒性强、易迁移累积于水体沉积物等特点。针对其在沉积物中潜在环境风险大的现状,一种简单、有效的残留测定方法迫切需要建立。[方法]建立了一种C18为分离色谱柱,甲醇-水(体积比80:20)为流动相,PDA为检测器,检测波长为280 nm的MCPA高效液相检测法,并比较了不同提取方法和净化方法对检测的影响。[结果]对于提取方法,回收率:超声萃取2次>超声萃取1次>涡旋振荡萃取;对于净化方法,回收率:固相萃取净化法>QuEChERS法>未净化法。因此,应采用2次超声辅助提取-固相萃取净化作为前处理方法。所建立的方法在0.5~40 mg/L范围内线性良好,检出限为0.02 mg/kg,定量限为0.06 mg/kg;在0.08~0.8 mg/kg的添加水平范围内,回收率为85.12%~98.66%,相对标准偏差为2.86%~4.24%。[结论]该方法准确性高、稳定性好,适用于沉积物中MCPA的测定。     

Development of a system‐based water balance model to assess interrelated physical and anthropogenic constraints in lake and reservoir watersheds,applied to Coeur d'Alene Lake,Idaho, USA

This study presents a methodology for the development of a water balance model that uses publicly available data in a manner useful to water scientists and managers who manage complex lake and reservoir watersheds. The approach was applied to Coeur d'Alene Lake, a naturally occurring lake that is controlled by a dam located on its outlet (Spokane River) in North Idaho, USA. As in many other areas, the region surrounding Coeur d'Alene Lake has experienced high rates of population growth in recent years, and there is concern that, as consumptive water use increases, the lake will eventually not be able to be managed to simultaneously maintain the federally mandated minimum flow requirements in the Spokane River and also maintain the target summertime elevation of 2128 feet (648.6 m) for recreation and hydropower purposes. The complexity caused by the competing uses at Coeur d'Alene Lake makes it an excellent case study for similarly characterized watersheds. Both a natural flow model and regulated elevation model were developed, and sensitivity analysis was conducted on both models to evaluate which lake processes have the greatest effects on lake elevation, thereby requiring the most attention. A ‘low‐flow’ scenario was modelled to demonstrate the usefulness of the model and to inform Coeur d'Alene Lake regional stakeholders regarding the interrelationship between current water policy and the lake's physical behaviour under stressed conditions that could result from climate change. Model result indicates that, while lake elevation may be maintained at the summertime elevation of 2128 feet (648.6 m) under a low‐flow scenario, the outflows in the Spokane River start to approach the minimum flow requirements in the month of August. The developed approach is useful where publicly available data exist and allows for economic, yet rigorous, water resources systems evaluation without requiring significant field data collection.     

Phase transitions of canola oil sediment

Canola sediment was obtained from an industrial filter cake by solvent extraction. When heated in the differential scanning calorimeter (DSC) (5–100°C), the sediment exhibited a single narrow melting peak at around 74.8°C. No solid-state polymorphic transformation of the material could be detected over this temperature range. The X-ray powder diffraction pattern of canola sediment resembled waxes from other sources with an orthorhombic unit cell. The phase transition behavior of canola sediment in oil was studied by both DSC and polarizing microscopy. With increasing ratio of oil/sediment, a reduction in both melting temperature and transition enthalpy was observed. The shape of the supercooling curve resembled that of the melting curve. The induction time was determined by spectrophotometry and was used to calculate the interfacial free energyσ between sediment and oil; σ=4.71 erg/cm². The effect of temperature and sediment concentration on the clouding time of canola oil was studied; the clouding time was the shortest at 5°C.     

两种溃坝模型在唐家山堰塞湖溃决模拟中的对比

基于唐家山堰塞坝溃决的实测数据,使用BREACH模型及中国水科院DB-IWHR模型,对唐家山堰塞坝溃决过程进行了反演分析,并对两种模型进行参数敏感性分析。研究结果表明:使用针对唐家山的参数,两种模型均可较好地反演唐家山溃决洪水的过程,BREACH模型的下游坡比和孔隙率是对结果影响比较敏感的输入参数;DB-IWHR模型在冲刷参数和下游水深计算两方面做了改善,较好地解决了这一问题;DB-IWHR提供了一个Excel格式的计算软件,数值分析稳定性好,使用简洁客观,可供类似堰塞湖应急处置时参考。     

长江口不同河段表层细颗粒泥沙絮凝特性

利用长江口的现场观测资料分析河口不同区段表层细颗粒泥沙絮凝特性及其影响因素。结果表明:在河口上段水域,流速对絮凝表现为破坏作用,盐度是"制约"条件,流速和浊度对絮团影响明显,絮团平均粒径约为40.69mm,是分散粒径的4倍左右;口门最大浑浊带水域絮团峰值出现在憩流或者中等流速处,高盐度抑制、低盐度促进絮团生长,小潮时流速影响最明显、大潮时则是盐度,絮团平均粒径小潮为28.54mm、大潮35.17mm,是分散粒径2~3倍左右;北港口外,絮团生长或者破碎频繁,流速表现出促进作用,盐度有抑制作用,盐度对絮团影响最大,絮团平均粒径约为110.36mm,是分散粒径的18倍左右。     

云南蒋家沟黏性泥石流输沙的涨落特征

间歇性阵流是山区小流域发生的黏性泥石流活动的基本形式,其输沙特性表现出一定的间歇性和涨落特性,其涨落可达均值的2~4个数量级。利用Hurst指数分析了蒋家沟近50年的数千阵泥石流观测资料,发现间歇性阵流的流量、径流量、输沙量序列的Hurst指数均大于0.5,说明序列具有一定程度的长程关联性。同时,对比阵流序列与洪峰序列,发现泥石流阵流的长程关联性强于洪峰序列。另一方面,输沙量的累积百分比均满足统一的指数分布形式:P(S)=CS~(-μ)exp(-S/S_c),其中μ越大意味着序列中输沙量较小的阵次越多;S_c表示的是阵流输沙的涨落情况,即S_c越大,阵流输沙的涨落越大。