火焰原子吸收法测定水中的总铬

用火焰原子吸收光谱法测定水中总铬,乙炔流量100L/h、燃烧头高度为9mm、狭缝宽度0.2 nm时,灵敏度和重现性最好.1 mg/L铬溶液中盐酸含量5％、氯化铵含量0.5％时,吸光度较高,相对标准偏差最低.该方法操作简便,灵敏度好,精确度和准确度高,便于推广,适合水中总铬的测定.     

基于均匀分布的滑坡数值模拟参数取值概率研究--以甘肃黑方台黄土滑坡为例

针对数值模拟参数选取主观性强、量化难度大的问题,在高精度无人机地形数据的基础上,通过对11起滑坡案例进行了407组参数反演实验,对结果准确度定量评价后,得到基于Massflow数值软件关键参数λ0的分布范围,进而运用小样本极大似然估计理论,分析区间边界长度对反演精度的影响,最终提出基于均匀分布的参数取值概率模型,并选用案例验证该模型的准确性。结果表明:地形约束会导致反演过程中所需的内聚力减小,反演获得的11组最优λ0的极差和方差分别为0.29、0.01,在置信度为95%下,极大似然法得到区间边界估计长度仅为0.0998,表明参数λ收敛性较好;反演过程中质心滑动距离ψ准确度优于堆积面积重叠率η,在λ0±0.05的范围,参数估计区间内任意值对模拟误差影响较小,评价指标ψ、η与λ0对应案例的相对误差不超过15%;所选案例验证了在置信度为95%下,以反演得到的最优参数区间边界中点构建概率分布函数的可行性和准确性,研究方法可为单体滑坡数值模拟风险评价提供理论支撑。     

汞分析仪直接测定土壤中总汞的方法研究

建立了利用RP91C-RA915M汞分析仪直接测定土壤中总汞的方法。该方法直接固体进样,省去了常规方法加酸消解、赶酸、定容等繁琐的前处理步骤;利用标准土壤绘制工作曲线,无需反复稀释标准储备液配制标准溶液,测定了方法检出限、精密度及准确度。结果表明此方法准确、可靠,是一个比较理想的分析方法。本方法的检出限为0.25μg/kg,相对标准偏差为1.98%~4.92%,标准样品测定准确,加标回收率为92.8%~106%。     

黑龙江省平水期地表水总磷构成的研究

通过对黑龙江省平水期地表水总磷监测结果分析,探讨地表水总磷的构成、成因;提出了从源头治理地表水总磷污染建议。     

数值预报产品在长江干流段面雨量概率预报中的释用

运用2003年6～8月国家气象中心T213L31、武汉暴雨所MAPS数值预报产品,读取一定经纬度范围内的格点资料进行处理,得到最初因子。应用统计软件对最初因子与面雨量实况值进行聚类分析,并依据最优化的原则,将因子分为若干“段”,面雨量实况值（R）分为4个等级：无雨、0＜R≤5 mm、5 mm＜R＜15 mm和R≥15 mm。针对不同的等级,分别求出因子各“段”的降水频率作为X样本序列;相应地,R取“0”或“1”形成Y样本序列,用多元线性回归统计方法建立长江干流段面雨量概率预报方程。     

EDTA滴定法测定高锰水体总硬度的干扰和消除

测定水质总硬度最常用的是EDTA 滴定法,该法易受到多种因素的影响,而锰是重要影响因素之一。分析了锰对EDTA滴定法的影响,对比了两种掩蔽剂对不同浓度锰的掩蔽效果和对检测结果的影响。对实验结果进行了总结分析,为EDTA滴定法测定高锰水体总硬度过程中不同掩蔽剂的选择提供一定的依据。     

国内外总量管理制度发展历程对南京市的启示

本文介绍了国内外总量管理制度的发展历程,特别是"十三五"以来我国总量管理工作新的规定,并由此产生的针对南京市主要污染物总量管理工作的几点启示。     

Optimization of capture–recapture monitoring of elusive species illustrated with a threatened grasshopper

Information on population sizes and trends of threatened species is essential for their conservation, but obtaining reliable estimates can be challenging. We devised a method to improve the precision of estimates of population size obtained from capture–recapture studies for species with low capture and recapture probabilities and short seasonal activity, illustrated with population data of an elusive grasshopper (Prionotropis rhodanica). We used data from 5 capture–recapture studies to identify methodological and environmental factors affecting capture and recapture probabilities and estimates of population size. In a simulation, we used the population size and capture and recapture probability estimates obtained from the field studies to identify the minimum number of sampling occasions needed to obtain unbiased and robust estimates of population size. Based on these results we optimized the capture–recapture design, implemented it in 2 additional studies, and compared their precision with those of the nonoptimized studies. Additionally, we simulated scenarios based on thresholds of population size in criteria C and D of the International Union for Conservation of Nature (IUCN) Red List to investigate whether estimates of population size for elusive species can reliably inform red-list assessments. Identifying parameters that affect capture and recapture probabilities (for the grasshopper time since emergence of first adults) and optimizing field protocols based on this information reduced study effort (−6% to −27% sampling occasions) and provided more precise estimates of population size (reduced coefficient of variation) compared with nonoptimized studies. Estimates of population size from the scenarios based on the IUCN thresholds were mostly unbiased and robust (only the combination of very small populations and little study effort produced unreliable estimates), suggesting capture–recapture can be considered reliable for informing red-list assessments. Although capture–recapture remains difficult and costly for elusive species, our optimization procedure can help determine efficient protocols to increase data quality and minimize monitoring effort.     

基于改进的SPAR-H化工实验室人因可靠性分析

近年来化工实验室事故屡禁不止,其中人的不安全行为是导致事故发生的主要原因.为评估实验人员可靠性,进一步管控化工实验室人的不安全行为,基于标准化工厂人因可靠性分析(SPAR-H)方法,结合化工实验室人因失误的特点,确定了更加适用于化工实验室的人因可靠性分析方法.首先依据"S-O-P"认知模型对人因失误类型进行划分;然后基...     

Can we gain precision by sampling with probabilities proportional to size in surveying recent landscape changes in the Netherlands?

Seventy-two squares of 100 ha were selected by stratified random sampling with probabilities proportional to size (pps) to survey landscape changes in the period 1996–2003. The area of the plots times the urbanization pressure was used as a size measure. The central question of this study is whether the sampling with probabilities proportional to size leads to gain in precision compared to equal probability sampling. On average 1.03 isolated buildings per 100 ha have been built, while 0.90 buildings per 100 ha have been removed, leading to a net change of 0.13 building per 100 ha. The area with unspoiled natural relief has been reduced by 2.3 ha per 100 ha, and the length of linear relicts by 137 m per 100 ha. On average 74 m of linear green elements have been planted per 100 ha, while 106 m have been removed, leading to a net change of −31 m per 100 ha. For the state variables ‘unspoiled natural relief', ‘ linear relicts', ‘removed linear green elements', and ‘new – removed linear green elements' there is a gain in precision due to the pps-sampling. For the remaining state variables there is no gain or even a loss of precision (`new buildings', ‘removed buildings', ‘new – removed buildings', ‘new linear green elements'). Therefore, if many state variables must be monitored or when interest is not only in the change but also in the current totals, we recommend to keep things simple, and to select plots with equal probability.