气相色谱-质谱法同时测定河流沉积物中多环芳烃和有机氯农药

建立了用加速溶剂萃取,气相色谱-质谱法同时测定河流沉积物中16种多环芳烃和19种有机氯农药的分析方法,优化了萃取溶剂、萃取温度和时间、凝胶渗透色谱收集时间、固相萃取洗脱溶剂和洗脱体积等条件。16种多环芳烃的方法检出限在0.15~0.59 ng/g,加标回收率为82%~102%,相对标准偏差(RSD,n=5)为1.1%~4.5%。19种有机氯农药的方法检出限在0.14~2.23 ng/g,加标回收率为71%~108%,相对标准偏差(RSD,n=5)为1.0%~4.5%。实际样品的测定结果表明,该方法分离效果较好,能够满足沉积物样品中多环芳烃和有机氯农药的分析要求。     

急性低氧胁迫对卵形鲳鲹选育群体血液生化指标的影响

本文研究了水环境急性低氧胁迫对卵形鲳鲹Trachinotus ovatus选育群体血液生化指标的影响。实验设计了急性低氧试验组和对照组,每组3个平行。结果显示,急性低氧胁迫后选育群体的血清离子含量与对照组相比都有不同程度的升高,其中钠、氯、钙浓度与对照组相比差异显著(p0.05),铁浓度极显著高于对照组(p0.01);血清蛋白、尿酸、肌酐、血脂、血糖等指标的差异较大,其中尿酸、肌酐极显著高于对照组(p0.01),总蛋白、总胆固醇显著低于对照组(p0.05);血清中肌酸激酶含量极显著高于对照组(p0.01),肌酸激酶同工酶显著高于对照组(p0.05),γ-谷氨酰转肽酶含量显著低于对照组(p0.05);其他指标均有不同程度的升高或降低,但差异不显著。研究表明,急性低氧胁迫造成卵形鲳鲹鳃、肾、心脏和肝脏损伤,免疫力下降。     

东升庙多金属硫化物矿床主要含矿岩系地质地球化学特征及对矿床成因的指示意义

东升庙矿床是内蒙古狼山-渣尔泰山成矿带上最大的锌多金属矿床,主要含矿岩系是狼山群第2岩组。通过对矿区地质现象的野外观察和钻孔样品地球化学特征的研究,结合国际上同类矿床最新研究进展,对东升庙矿床主矿体的成矿过程提出了新观点。岩、矿石样品的岩相学研究结果显示,不同岩段的岩、矿石有不同的组构特征：第4岩性段中部菱铁矿矿石为典型的细粒镶嵌结构和块状构造,具明显的化学沉积特征;第4岩性段底部②号矿体中的闪锌矿矿石具半自形-它形晶粒结构或溶蚀结构,多为角砾状构造或块状构造,有明显的充填-交代现象;第3岩性段以绢云石墨片岩为主的黑色岩系网脉状矿化普遍,常见后期热液充填现象。岩矿石样品的地球化学研究结果显示,菱铁矿矿石和闪锌矿矿石有相似的微量元素富集特征和稀土元素配分曲线,可能具有同一物质来源。而第3岩性段的绢云石墨片岩有不同的微量元素富集特征和稀土元素配分曲线,可能是多期热液活动作用的结果。值得一提的是,在②号主矿体硫化物矿石中不但发现有来自于矿体下部的有一定磨圆度的绢云石墨片岩碎屑角砾,还有一些来自上部围岩的含炭质白云大理岩角砾。此类碎屑角砾可能是交代残余或者交代过程中垮塌的产物,无法用同时沉积解释。综合分析认为第3岩性段的网脉状矿化是后期热液充填的结果,而第4岩性段底部的②号矿体是含矿热液选择性交代碳酸盐地层而成矿,菱铁矿矿体是富铁热液运移到海底后沉积生成。相对于传统的喷流沉积成矿方式,本文认为交代作用对东升庙主矿体的形成起到了关键作用。     

池养条件下军曹鱼仔鱼的消化道内容物

采用光镜解剖观察的方法对池塘培育的1~20日龄军曹鱼仔鱼消化道内容物的种类、数量和大小进行研究。结果显示:军曹鱼仔鱼于2日龄开口,主要摄食桡足类无节幼体和桡足幼体及枝角类;在2~20日龄阶段,桡足类在军曹鱼仔鱼食谱中占据主要成分;从13日龄开始摄食虾、蟹类幼体等大型浮游动物,两个阶段的食物选择性指数存在显著差异。     

原子吸收法测定矿石中的锂铷铯

本文研究了锂、铷、铯三元素在丙酮有机溶剂中的行为,测定条件,干扰离子的影响及消除,使灵敏度分别比在水相中提高为2.5—3.5倍。方法灵敏度高,干扰少,测定范围为0～5PPM,适用于矿石中微量锂、铷、铯三元素同时测定。     

A reliability‐based selective index for regional flood frequency analysis methods

In this paper, a new index is proposed for the selection of the best regional frequency analysis method. First, based on the theory of reliability, the new selective index is developed. The variances of three regional T‐year event estimators are then derived. The proposed methodology is applied to an actual watershed. For each regional method, the reliability of various T‐year regional estimates is computed. Finally, the reliability‐based selective index graph is constructed from which the best regional method can be determined. In addition, the selection result is compared with that based on the traditional index, root mean square error. The proposed new index is recommended as an alternative to the existing indices such as root mean square error, because the influence of uncertainty and the accuracy of estimates are considered. Copyright © 2003 John Wiley & Sons, Ltd.     

福建中亚热带天然阔叶用材林择伐技术Ⅰ.基于树种特征的目标树种清单

依据树种的最大直径、干形、枝下高、生长快慢、木材价值、保护等级等6个重要特征指标,参照各指标的标准,筛选出福建中亚热带天然阔叶用材林目标树种,共计26科62属79种,其中针叶树种15种、阔叶树种64种,优质目标树种39种、良好目标树种29种、特殊目标树种11种。     

A Comparative Study of Various Supervised Learning Approaches to Selective Omission in a Road Network

Selective omission is necessary for road network generalisation. This study investigates the use of supervised learning approaches for selective omission in a road network. To be specific, at first, the properties to measure the importance of a road in the network are viewed as input attributes, and the decision of such a road is retained or not at a specific scale is viewed as an output class; then, a number of samples with known input and output are used to train a classifier; finally, this classifier can be used to determine whether other roads to be retained or not. In this study, a total of nine supervised learning approaches, i.e., ID3, C4·5, CRT, Random Tree, support vector machine (SVM), naive Bayes (NB), K-nearest neighbour (KNN), multilayer perception (MP) and binary logistic regression (BLR), are applied to three road networks for selective omission. The performances of these approaches are evaluated by both quantitative assessment and visual inception. Results show that: (1) in most cases, these approaches are effective and their classification accuracy is between 70% and 90%; (2) most of these approaches have similar performances, and they do not have any statistically significant difference; (3) but sometimes, ID3 and BLR performs significantly better than NB and SVM; NB and KNN perform significantly worse than MP, SVM and BLR.