模糊回归分析和数据融合方法

提出一种新的模糊回归分析和数据融合方法 ,该方法能够将多种不同条件 (不同仪器、人员、环境条件等 )下的测量数据进行融合 ,特别是可以将不同量纲的测量值进行数据融合。实际应用表明 ,模糊回归分析能够很好地消除工程测量中无法通过仪器校准的系统误差 ,数据融合方法可以减小其偶然误差 ,大大提高测量精度     

镉、铜对植物细胞的毒性及元素吸收特性的影响

关于镉、铜对植物毒性研究多以植物个体或群体为对象,研究它们对植物生长、生理生化活动及遗传特性的影响。少数研究涉及到植物细胞水平,如镉损坏农作物细胞核的结构、延缓有丝分裂的正常进行、诱导染色体异常。 我们以高等植物细胞为试验材料、采用细胞培养法,研究了镉、铜对细胞增长的影响,以及在镉、铜污染条件下,细胞对元素的吸收、累积特性,以便为揭示镉、铜的植物毒性机理及耐性细胞株的选育提供理论依据。     

基于GIS的凤嘴江水污染控制规划数据库研究

地理信息系统（GIS）是20世纪60年代兴起的新技术，将它应用于水污染控制规划（WPCP）是一个新的研究领域，其中数据库是整个系统的基础和信息源，也是系统发展的瓶颈技术之一，有必要进行深入和全面的研究，由于水污染控制规划系统本身的复杂性，决定了其所涉及的数据比一般的管理信息系统得杂得多，本研究以GeoMediaProfessional3.0为基础平台，对系统数据库建库过程中涉及的数据特点，数据结果与数据模型，数据组织与管理，数据库功能分析等问题进行了研究，开发了GIS技术的凤嘴江水污染控制规划数据库，较好地满足了GIS应用的要求，为相关数据库的建设提供了经验。     

生命周期评价--清单分析方法探讨

清单分析是生命周期评价方法中极重要的环节，是对整个生命周期阶段的资源和能源的使用及环境排放的定量分析过程，详细阐述了清单流程编制和清单数据获得的分析及收集方法，并示例说明。     

十三陵地震台观测技术系统优化改造

在北京十三陵地震台建设了一个高度集成的地震观测监控系统，将原来分散的观测项目（如测震、GPS、气氡、气汞、电磁波、地电场等测项），改造为集中到一台服务器管理，在一个监控平台上统一实现了对台站数据的收集、入库、管理、处理、监控等业务；对这些观测项目可以在控制台上直接取数并将数据入库；初步实现了观测数据的收集、数据处理、数据管理、数据监控的软件管理系统，减少了系统维护工作量，方便台站工作人员操控。监控系统的地震前兆数据监管软件系统DataMonitor可准实时监视数据，检查数据的异常和到达情况，并向台站数据管理人员告警；可对数据库数据进行统计，包括数据到达情况统计、缺数统计、数据连续率统计等。该系统还提供多种前兆数据处理方法，实现对前兆数据的各种常规分析处理。     

有限元网格重新划分时新旧网格数据传递的新方法

此文提出了一种有限元网格重新划分时新旧网格数据传递的新方法,该方法简化了新旧网格系统的包含测试并且有适当的精度,可用于三维网格重新划分时数据的传递。     

在线环境监测系统中GPRS应用探讨

为满足社会各方面对环境监测数据的信息需求,建立一个实用性强、覆盖面广、灵活性好的环境监测数据传输系统十分必要。通用分组无线业务（GPRS）作为新一代无线通信技术,与传统的数据传输相比,有着突出的优势。分析了运用 GPRS 数据传输技术构建的在线环境监测系统。总结了其特点,不足和优势。展望了 GPRS 在在线环境监测系统中的应用前景。     

Estimating the risk of insect species invasion: Kohonen self-organising maps versus k-means clustering

Previous work on the estimation of the invasiveness of insect pest species used a single Kohonen self-organising map (SOM) to quantify the invasion potential of each member of a set of species in relation to a particular geographic region. In this paper that method is critically compared to an alternative approach of calculating the invasive potential of insect pest species as an outcome of clustering of regional species assemblages. Data clustering was performed using SOM and k-means optimisation clustering and multiple trials were performed with each algorithm. The outcomes of these two approaches were evaluated and compared to the previously published results obtained from a single SOM. The results show firstly, due to the inherent variation between trials of the algorithms used, that multiple trials are necessary to determine reliable risk ratings, and secondly, that k-means clustering can be considered a more appropriate algorithm for this particular application, as it produces clusters of higher quality, as determined by objective cluster measures, and is far more computationally efficient than SOM.     

土壤质地对自养固碳微生物及其同化碳的影响

自养微生物可同化大气中的CO2并将其转化为土壤有机碳,对提高农田土壤的碳吸收和碳储存有重要意义,然而土壤质地对自养固碳微生物功能种群及其同化碳的影响机制还不清楚.本研究选取亚热带地区同一母质发育而成的两种质地水稻土壤(壤质黏土和砂质黏壤土),通过14C-CO2连续标记技术结合室内模拟培养实验,探讨土壤质地对自养微生物同化碳(14C-SOC)、自养微生物截留碳(14C-MBC)和自养微生物可溶性碳(14C-DOC)的影响.以固碳功能基因(cbb L基因)作为指示基因,结合PCR和克隆测序技术,分析不同质地土壤自养固碳微生物群落结构和多样性的差异.结果表明,壤质黏土14C-SOC、14C-MBC和14C-DOC平均含量分别为133.81、40.16和8.10 mg·kg-1,均显著高于砂质黏壤土14C-SOC(104.95 mg·kg-1)、14C-MBC(33.26 mg·kg-1)和14C-DOC(4.18 mg·kg-1)平均含量(P0.05),说明土壤质地显著影响了土壤自养微生物碳同化量以及自养微生物同化碳在土壤中的转化.稀疏曲线、细菌cbb L基因文库覆盖度以及多样性指数分析结果显示壤质黏土固碳细菌群落多样性高于砂质黏壤土.系统发育分析表明,壤质黏土细菌cbb L基因序列与Rhodoblastus acidophilus、Blastochloris viridis、Thauera humireducens、Mehylibium sp.、Variovorax sp.等具有一定的同源性,而砂质黏壤土cbb L基因序列主要与根瘤菌和放线菌同源.可见,土壤质地对自养固碳微生物群落结构和多样性产生了深刻的影响,壤质黏土中较高的黏粒含量、土壤养分含量和阳离子交换量可能有利于维持更高的自养固碳微生物多样性和活性,从而导致不同质地土壤自养微生物碳同化量及其转化存在显著差异.     

Modelling predation by transient leopard seals for an ecosystem-based management of Southern Ocean fisheries

Correctly quantifying the impacts of rare apex marine predators is essential to ecosystem-based approaches to fisheries management, where harvesting must be sustainable for targeted species and their dependent predators. This requires modelling the uncertainty in such processes as predator life history, seasonal abundance and movement, size-based predation, energetic requirements, and prey vulnerability. We combined these uncertainties to evaluate the predatory impact of transient leopard seals on a community of mesopredators (seals and penguins) and their prey at South Georgia, and assess the implications for an ecosystem-based management. The mesopredators are highly dependent on Antarctic krill and icefish, which are targeted by regional fisheries. We used a state-space formulation to combine (1) a mark-recapture open-population model and individual identification data to assess seasonally variable leopard seal arrival and departure dates, numbers, and residency times; (2) a size-based bioenergetic model; and (3) a size-based prey choice model from a diet analysis. Our models indicated that prey choice and consumption reflected seasonal changes in leopard seal population size and structure, size-selective predation and prey vulnerability. A population of 104 (90–125) leopard seals, of which 64% were juveniles, consumed less than 2% of the Antarctic fur seal pup production of the area (50% of total ingested energy, IE), but ca. 12–16% of the local gentoo penguin population (20% IE). Antarctic krill (28% IE) were the only observed food of leopard seal pups and supplemented the diet of older individuals. Direct impacts on krill and fish were negligible, but the “escapement” due to leopard seal predation on fur seal pups and penguins could be significant for the mackerel icefish fishery at South Georgia. These results suggest that: (1) rare apex predators like leopard seals may control, and may depend on, populations of mesopredators dependent on prey species targeted by fisheries; and (2) predatory impacts and community control may vary throughout the predator's geographic range, and differ across ecosystems and management areas, depending on the seasonal abundance of the prey and the predator's dispersal movements. This understanding is important to integrate the predator needs as natural mortality of its prey in models to set prey catch limits for fisheries. Reliable estimates of the variability of these needs are essential for a precautionary interpretation in the context of an ecosystem-based management.