黄河水中胱氨酸对铅(Ⅱ)与悬浮粒子相互作用的影响

研究了黄河水中胱氨酸对铅(Ⅱ)与悬浮粒子相互作用的离子交换率E(%)-pH关系曲线的影响.结果表明:(1)2.0 u mol·L-1 的胱氨酸降低了离子交换率E(%);(2)与未加有机物相比"S型曲线"左移0.95个pH单位;(3)随着胱氨酸浓度的增加,离子交换率提高.     

珠江三角洲地质灾害的模糊综合评价

珠江三角洲地质灾害种类的多样性与其所处的复杂地质环境和多变的气候条件密切相关。文章选用了地震活动、活动断裂、地壳升降运动、软土地基、地面塌陷以及冲、淤积等６个主要因素作为评价指标，并用模糊数学方法对珠江三角洲内１７个小区作了计算，结果表明该区大部分地区属于轻灾害区，只有滨海沿岸地区属于较重灾害区。     

珠江口盆地基底结构的综合地球物理研究

通过对珠江口盆地重磁资料的分析处理及反演计算，依据盆地的地质、地球物理特征，采取了针对性的综合地球物理研究思路与方法，对地震资料难以解决的珠江口盆地基底结构进行了研究，确定了盆地的重力和磁性基底深度，并对盆地内的断裂和基底岩性作了推断，提供了新的认识，为今后研究提供了依据。     

黄河三角洲*暴雨雷达回波特征及临近预报

本文利用1994－1998年东营站713数字化雷达回波资料结合高空、地面形势，对发生在黄河三角洲地区的33个暴雨日41个暴雨中尺度雷达回波系统特征及形成过程进行了总结，提出了暴雨临近预报的着眼点。在1999年的预报服务中，取得了良好的经济效益和社会效益。     

黄河三角洲埕岛海域浅地层剖面结构与灾害地质

通过钻孔和高分辨率浅地层剖面的综合对比,对黄河三角洲北部与埕岛油田海底工程密切相关的浅地层剖面结构进行细分,划分出末次冰期低海面以来的5套沉积相层和6个地震相层.分析表明,本区广泛分布的地质灾害是由其特殊的沉积结构和复杂的动力环境造成的,尤其是工程软弱层的存在造成三角洲前缘的不稳定性.     

白云凹陷地球物理场及深部结构特征

珠江口盆地白云凹陷是南海最具代表性的第三系深水陆坡沉积区。以穿过白云凹陷中部的一条深反射地震剖面(14s)为研究基础，采用综合地球物理研究方法分析了该区地球物理场特征，根据重力异常平面等值线勾画了白云凹陷的形态，并提取该测线相对应的重磁剖面数据，利用重磁资料和地震剖面进行了综合反演。以深剖面地震资料建立了地质模型，利用所得的重力数据进行了研究深部结构的正演拟合，实测与计算值拟合较好，支持中生代俯冲洋壳存在的观点；同时结合地震资料对深部结构进行了分析，该区莫霍面由陆向海抬升，呈阶梯状变化，地壳厚度逐渐减薄，具有大陆边缘陆壳向洋壳过渡的特征。根据地质模型还进行了变密度综合反演拟合来分析基底岩性特征，该区基底主要为中酸性岩浆岩，部分为变质岩和基性火山岩，岩石密度由陆向洋逐渐减小，磁性体分布不均。     

多频载波相位组合进行单点定位

不同于双频数据的应用,多频数据的采用对单点定位有着特殊意义,可以更好地获得其模糊度的解。基于卫星导航定位系统多频载波相位线性组合理论,研究了具有特殊意义的组合观测值及其特性。在此基础上,通过多频观测值数据的数值仿真,采用新方法进行整周模糊度快速求解。编制了基于多频载波相位组合单点定位软件,通过结果的比较分析,得出有一定实际应用意义的结论。此方法算法简单,速度快,能够满足实时导航定位的需要,具有工程应用价值。     

考虑重力侵蚀影响的分布式土壤侵蚀模型

黄土高原地区的土壤侵蚀具有水力侵蚀和重力侵蚀相伴发生的特点,在大多数针对黄土高原的侵蚀模型研究中未考虑重力侵蚀的影响,使得模型的模拟精度较差。针对黄土高原的侵蚀特点,采用量化影响重力侵蚀发生的主要因素,确定重力侵蚀发生的具体沟道栅格单元的方法,从而考虑了重力侵蚀对产输沙过程的影响。所建立的分布式土壤侵蚀模型以逐网格汇流的水文模型为基础,采用逐网格侵蚀输沙的模拟方式,能够模拟上方来水来沙对侵蚀输沙的影响。经小理河流域实测资料验证,模型具有一定的计算精度。     

Formation Dynamics and Quantitative Prediction of Hydrocarbons of the Superpressure System in the Dongying Sag

Based on the theory of formation dynamics of oil/gas pools, the Dongying sag can be divided into three dynamic systems regarding the accumulation of oil and gas： the superpressure closed system, the semi-closed system and the normal pressure open system. Based on the analysis of genesis of superpressure in the superpressure closed system and the rule of hydrocarbon expulsion, it is found that hydrocarbon generation is related to superpressure, which is the main driving factor of hydrocarbon migration. Micro fractures formed by superpressure are the main channels for hydrocarbon migration. There are three dynamic patterns for hydrocarbon expulsion： free water drainage, hydrocarbon accumulation and drainage through micro fissures. In the superpressure closed system, the oil-driving-water process and oil/gas accumulation were completed in lithologic traps by way of such two dynamic patterns as episodic evolution of superpressure systems and episodic pressure release of faults. The oil-bearing capacity of lithologic traps is intimately related to reservoir-forming dynamic force. Quantitative evaluation of dynamic conditions for pool formation can effectively predict the oil-bearing capability of traps.     

Regional yield estimation for winter wheat with MODIS-NDVI data in Shandong, China

The significance of crop yield estimation is well known in agricultural management and policy development at regional and national levels. The primary objective of this study was to test the suitability of the method, depending on predicted crop production, to estimate crop yield with a MODIS-NDVI-based model on a regional scale. In this paper, MODIS-NDVI data, with a 250 m resolution, was used to estimate the winter wheat (Triticum aestivum L.) yield in one of the main winter-wheat-growing regions. Our study region is located in Jining, Shandong Province. In order to improve the quality of remote sensing data and the accuracy of yield prediction, especially to eliminate the cloud-contaminated data and abnormal data in the MODIS-NDVI series, the Savitzky–Golay filter was applied to smooth the 10-day NDVI data. The spatial accumulation of NDVI at the county level was used to test its relationship with winter wheat production in the study area. A linear regressive relationship between the spatial accumulation of NDVI and the production of winter wheat was established using a stepwise regression method. The average yield was derived from predicted production divided by the growing acreage of winter wheat on a county level. Finally, the results were validated by the ground survey data, and the errors were compared with the errors of agro-climate models. The results showed that the relative errors of the predicted yield using MODIS-NDVI are between −4.62% and 5.40% and that whole RMSE was 214.16 kg ha⁻¹ lower than the RMSE (233.35 kg ha⁻¹) of agro-climate models in this study region. A good predicted yield data of winter wheat could be got about 40 days ahead of harvest time, i.e. at the booting-heading stage of winter wheat. The method suggested in this paper was good for predicting regional winter wheat production and yield estimation.