西部大开发中的农业结构调整思考

西部地区的农业发展直接影响到我国国民经济是否能够持续快速健康的发展，这是由于我国是农业大国，农业人口大约占全国人口比例的80％，而实现西部地区持续健康发展的关键在于对传统农业产业结构的调整，提高农业增长的结构变动效益，树立大农业观念，延长农业产业链，在联产承包责任制的基础上通过经营权的集中规模种植，达到实现农业结构调整生态化和产业一体化目标。西部地区在大开发战略实施中，如何将自身的发展环境劣势转变为优势，提出了农业结构调整模式的构想。     

中国地质灾害类型、分布及防治建议

本文提出了中国地质灾害的空间分类和成因分类系统,并根据13类常见的地质灾害组合类型进行了区划,基本上反映了我国高原、山地、内陆盆地、平原及滨海地区地质灾害的地带性和地区性分布规律,以小比例尺图显示了中国地质灾害的类型与分布。该图共划分为11个地质灾害区。在此基础上初步论述了1949—1990年间我国崩塌、滑坡、泥石流灾害的主要受灾地区和受灾损失。最后,根据当前形势,提出了减灾、防灾的对策意见和建议。     

川滇强震的回归—马尔可夫链联合预测

本文应用回归—马尔可夫链联合预测地震的方法,结合川、滇强震的特点,对川、滇强震进行了计算,并作了预测验证。结果表明,该方法对川、滇强震的预测效果较好。     

Stratigraphic analysis and the asymptotic distribution of the coefficient of cross-association

The asymptotic distribution of the coefficient of cross-association between two sequences of nominal data is investigated under the assumption of independent random sampling from a multinomial distribution slightly modified to suit geological applications. This modification is due to merging consecutive strata of the same rock type into one lithological unit, and can be described by a simple Markov chain. A distinction is made between the case in which the theoretical frequencies are known, and the situation where these have to be estimated from the observed data.     

Water isotopic and hydrochemical evolution of a lake chain in the northern Great Plains and its paleoclimatic implications

Oxygen isotopes and geochemistry from lake sediments are commonly used as proxies of past hydrologic and climatic conditions, but the importance of present-day hydrologic processes in controlling these proxies are sometimes not well established and understood. Here we use present-day hydrochemical data from 13 lakes in a hydrologically connected lake chain in the northern Great Plains (NGP) to investigate isotopic and solute evolution along a hydrologic gradient. The ¹⁸O and ²H of water from the chain of lakes, when plotted in ²H - ¹⁸O space, form a line with a slope of 5.9, indicating that these waters fall on an evaporation trend. However, 10 of the 13 lakes are isotopically similar (¹⁸O = –6 ± 1 VSMOW) and show no correlation with salinity (which ranges from 1 to 65). The lack of correlation implies that the isotopic composition of various source waters rather than in-lake evaporation is the main control of the ¹⁸O of the lakes. Groundwater, an important input in the water budget of this chain of lakes, has a lower ¹⁸O value (–16.7 in 1998) than that of mean annual precipitation (–11) owing to selective recharge from snow melt. For the lakes in this chain with salinity < 15, the water Mg/Ca ratios are strongly correlated with salinity, whereas Sr/Ca is not. The poor correlation between Sr/Ca and salinity results from uptake of Sr by endogenic aragonite. These new results indicate that ¹⁸O records may not be interpreted simply in term of climate in the NGP, and that local hydrology needs to be adequately investigated before a meaningful interpretation of sedimentary records can be reached.     

青岛市崂山区地质灾害气象预报预警

本文基于地质灾害递进分析理论与方法，进行了崂山区地质灾害气象预报预警探讨。崂山区地质灾害及隐患点发育的类型主要是滑坡、崩塌和泥石流。据调查，区内地质灾害及隐患点83处，其中已发生灾害17处，新的灾害隐患66处。崂山区地质灾害基础因子主要是地形坡度、地质构造、地面高程、岩体、植被、水系和坡形，诱发因：于主要是大气降水、人类工程活动和地震。大气降水是变化频繁的敏感因子。通过分析崂山区日降水量、持续累计降水量与地质环境条件、地质灾害发生频率、发生时间的关系，结合国内其他地区的分析结论，初步选定崂山区地质灾害预报预警降水量临界值，在此基础上建立了崂山区地质灾害预报预警信息系统，并以图形和表格两种形式在网上对外发布成功。通过回访调查，预报基本准确，服务效果明显，在很大程度上减轻和避免了灾害损失，有效地保护了人民生命财产的安全，促进了经济、社会的持续、稳定、健康发展。     

地球物理灾害链有关物理问题的讨论

对地球物理灾害链的致灾机理,地震引起的放气范围、放气时间过程的计算方法,以及地气耦合致灾模式,进行了讨论和分析。分析结果认为,巨灾大都是多种因素迭加和强化的结果。由于单学科往往提出的致灾因素有限,所以预测效果不甚理想。要多学科从多种因素上去研究,才能改进大灾预测手段和方法,最后达到灾害链全链预测的目的。     

洞庭湖镉迁移转化的马尔可夫模型评价

讨论了在现时泥沙、水体、鱼类、藻类的含镉状态下洞庭湖的输入输出通量；并以其为例，在简要介绍马尔可夫链数学方法的基础上，建立了湖泊生态系统中镉迁移转化的马尔可夫链数学模型，初步评价了当洞庭湖不断有镉加入、系统到达状态稳定时各种介质中的镉总量及镉的迁移转化趋势。     

Gibbs sampler by sampling-importance-resampling

Among the Markov chain Monte Carlo methods, the Gibbs sampler has the advantage that it samples from the conditional distributions for each unknown parameter, thus decomposing the sample space. In the case the conditional distributions are not tractable, the Gibbs sampler by means of sampling-importance-resampling is presented here. It uses the prior density function of a Bayesian analysis as the importance sampling distribution. This leads to a fast convergence of the Gibbs sampler as demonstrated by the smoothing with preserving the edges of 3D images of emission tomography.