便携式气相色谱-氢火焰离子化检测器法测定低浓度总烃的氧气干扰特征研究

研究了采用便携式气相色谱-氢火焰离子化检测器法测定气体中的总烃浓度时,氧气浓度对测定结果的影响,并采用多元线性回归模型对总烃的测定结果进行了校准。当总烃的实际浓度不低于9 mg/m³时,氧气的干扰较小(相对标准偏差≤2%)。在试验的所有总烃实际浓度下(1~200 mg/m³),当氧气浓度为1%~7%时,也无需考虑氧气干扰的影响(相对标准偏差≤2%)。当总烃的实际浓度低于9 mg/m³且氧气浓度为9%~21%时,需依据多元线性回归分析原理并采用模型对测得的总烃浓度进行校准。线性回归方程分析结果显示,模型拟合情况良好(R²=0.999),可以用来修正测试结果,从而得到更加准确的总烃实际浓度。     

重点生态功能区生态资产保护成效及驱动力研究

重点生态功能区是保障国家生态安全、扩大绿色生态空间的重要区域,在实现全国生态资产保值增值方面发挥着重要作用。然而,现阶段围绕重点生态功能区生态资产保护成效及驱动力开展的研究较少。为明确重点生态功能区生态资产保护的驱动力以及存在的问题,本文利用遥感影像并结合图像解译、GIS空间分析和数理统计等方法对重点生态功能区内生态资产展开分析,并将其与非重点生态功能区进行比较。研究结果显示:重点生态功能区内森林、灌丛、草地和湿地生态资产总面积为349.30万km~2,优级和良级生态资产占生态资产总面积的42.42%,生态资产综合指数为21.19。15年间,重点功能区内生态资产总面积增加0.05%,优级和良级生态资产面积占比分别增加0.59%和0.85%,生态资产综合指数增加2.94。重点生态功能区生态资产面积和质量增幅均小于非重点生态功能区,然而重点生态功能区生态资产指数增量高于非重点生态功能区。生态恢复是驱动重点生态功能区生态资产面积变化的主因,对原有生态资产的保护是促进生态资产指数增加的最主要驱动力(贡献率达81%),城镇化和农业开发对生态资产的不利影响不容忽视(贡献率达-6.81%)。研究表明,对重点生态功能区生态资产保护成效显著,同时还有较大提升空间。本研究也为优化重点生态功能区的城镇化和农业开发的管理提供了证据和参考。     

南水北调东线水资源配置中的期权契约研究

针对南水北调东线实际和传统水资源配置方法的局限性。借鉴金融工程的理念。引入水期权契约作为市场机制下水资源配置的一种方式．用以提高干旱年水供给保证率、规避水价波动风脸，从而提高东线水资源使用价值。分析期权契约理论用于南水北调水资源配置的可行性。并根据东线受水区流域水资源供求缺口的影响因素分析．得出水价的均值回复特性。在上述分析基础上引入多次执行期权契约。考虑应用动态规划方法对期权价值进行求解。并通过算例分析验证了该方法的可行性．最后根据南水北调东线实际构建了水期权契约在东线的应用流程。     

Individual variation in pheromone emission and termination patterns in female Anomala cuprea

Summary. Individual variations in pheromone emission patterns were examined in a scarab beetle, Anomala cuprea Hope (Coleoptera: Scarabaeidae), by headspace collection of airborne volatiles from individual females. The amount of pheromone obtained varied among virgin females, and about 16% of these females (“silent” females) did not emit detectable amount of pheromone throughout the experimental period. There was no clear temporal pattern of peak pheromone emission for 19 days after the onset. More than half of the laboratory mated females completely stopped releasing pheromone after the first mating, while the rest of them continued releasing pheromone, frequently followed by additional mating. Received 26 March 2001; accepted 28 January 2002.     

水中粪大肠菌群测定方法的比较研究分析——酶底物法与多管发酵法

用酶底物法与多管发酵法分别检测地表水和污水同组样品。应用t-检验：成对双样本均值分析的统计方法比较两种检测手段测定结果的相关性。结果表明,酶底物法与多管发酵法用于水中粪大肠菌群检测,测定结果具有强相关性,但统计学意义上有差异。在置信度95%时此差异能被接受。酶底物法操作简便、快速、结果稳定,满足环境监测技术要求,可用以评价水质微生物污染程度。     

Modelling and mapping topographic variations in forest soils at high resolution: A case study

This article examines the utility of a digitally derived cartographic depth-to-water (DTW) index to model and map variations in drainage, vegetation and soil type and select soil properties within a forested area (40 ha) of the Swan Hills, Alberta, Canada. This index was derived from a LiDAR (Light Detection and Ranging) derived digital elevation model (DEM), with at least 1 ground return per m². The resulting DTW pattern was set to be zero along all DEM-derived flow channels, each with a 4 ha flow-initiation threshold. Soil type (luvisol, gleysol, mesisol), drainage type (very poor to excessive), vegetation type (hydric to xeric) and forest floor depth were determined along hillslope transects. These determinations conformed more closely to the DEM-derived log₁₀(DTW) variations (R² > 60%) than to the corresponding variations of the widely used topographic wetness index (TWI) (R² < 25%). Setting log₁₀(DTW) thresholds to represent the wet to moist to dry transitions between vegetation, drainage and soil type enabled a high-resolution mapping of these types across the study area. Also determined were soil moisture content, coarse fragment and soil particle composition (sand, silt, clay), pH, total C, N, S, P, Ca, Mg, K, Fe, Al, Mn, Zn, and available Ca, Mg, K, P and NH₄, by soil layer type and depth. Most of these variables were also more correlated with log₁₀(DTW) than with TWI, with and without soil layer depth as an additional regression variable. These variables are, therefore, subject to topographic controls to at least some extent, and can be modelled and mapped accordingly, as illustrated for soil moisture, forest floor depth and pH across the study area, from ridge tops to depressions. Further examinations revealed that the DEM-produced DTW and TWI patterns complemented one another, with DTW delineating soils in relation to local water-table influences, and with TWI delineating where the water would flow and accumulate.     

Whole genome amplification from a single cell: a new era for preimplantation genetic diagnosis

Preimplantation genetic diagnosis (PGD) is a technique used for determining the genetic status of a single cell biopsied from embryos or oocytes. Genetic analysis from a single cell is both rewarding and challenging, especially in PGD. The starting material is very limited and not replaceable, and the diagnosis has to be made in a very short time. Different whole genome amplification (WGA) techniques have been developed to specifically increase the DNA quantities originating from clinical samples with limited DNA contents. In this review, currently available WGA techniques are introduced and, among them, multiple displacement amplification (MDA) is discussed in detail. MDA generates abundant assay-ready DNA to perform broad panels of genetic assays through its ability to rapidly amplify genomes from single cells. The utilization of MDA for single-cell molecular analysis is expanding at a high rate, and MDA is expected to soon become an integral part of PGD. Copyright © 2007 John Wiley & Sons, Ltd.     

红色旅游资源地游客国家认同的影响因素与多元路径研究——基于模糊集定性比较分析

红色旅游资源及其开发具有个体和群体意义,是国家认同实现的重要途径。采用多变量交互作用的模糊集定性比较分析方法,以游客国家认同为结果变量,构建社会记忆（人物记忆、环境记忆、时间记忆、空间记忆）、景区形象（吸引物形象、设施环境形象、文创宣传形象）、旅游体验、感知价值为前因变量,探索影响国家认同的前因条件组合与多元路径。研究结果表明：（1）对于单项因素来说,虽然人物记忆的一致性相对较高,但所有单因素都无法构成国家认同的充要条件。（2）9个变量共产生512种条件组合,满足条件的路径组合共11条,总体覆盖率为0.8916,构成了空间环境模式、形象价值模式、历史体验模式和时间综合模式四大类路径模式。（3）人物记忆出现在所有路径组合中,且所有组合同时包含至少一个社会记忆下的其他的二级维度,例如环境、时间或空间记忆。当社会记忆的四个二级维度全部出现时,产生了原始覆盖率最高的路径组合。（4）在原始覆盖率大于20%的6条路径中,都同时包含社会记忆和景区形象中的二级要素;在原始覆盖率小于20%的5条路径中,皆“一定不包含”设施环境形象。本文为红色旅游目的地在新格局下的高质量发展提供了理论参照。     

碳交易政策对工业碳生产率的影响及传导机制

以2005~2017年30个省市面板数据为研究样本,采用双重差分、动态效应检验和三重差分等方法,考察了碳交易政策对工业碳生产率的影响效果及异质性,同时利用多重中介效应模型,解析碳交易对工业碳生产率的实现机制.结果表明,碳交易政策显著提升了工业碳生产率,实现了"降碳促经"效果,且该效果保持逐年上升趋势;异质性检验表明,各试点地区对政策的响应程度存在一定差异,北京、天津、上海、湖北工业碳生产率的提升效果较为显著,而广东、重庆未能对政策做出充分响应;机制分析发现,碳交易政策能够有效激励环境治理效应、结构优化效应和技术革新效应,进而影响工业碳生产率提升,其中结构优化效应是响应政策最为充分的机制.本文研究结果可为中国未来碳市场运行提供一定参考.