利用自回归模型检测地球极移重力效应

同时采用4个台站的国际超导重力仪长期连续重力观测资料和国际地球自转服务中心提供的同步地球自转参数，研究了极移引起的地球重力场变化特征。利用自回归模型估计了各序列的功率谱密度和积谱密度，结果表明极移导致的重力效应的主要能量集中在Chandler摆动和周年项附近，叠积后实际重力观测与极移重力信号理论值之间的差异分别为0．4％和3．9％，说明超导重力仪可有效监测极移导致的重力变化。     

浙西北江山─绍兴断裂带构造演化特征

江山—绍兴断裂带是中国南方最重要的构造带之一。它是江南陆块与华夏陆块神功运动形成的碰撞拼贴带。它表现出明显的多期变形、构造叠加的特征：神功运动形成近东西向平卧褶皱；印支运动沿断裂带有向北西强烈的推覆挤压。断裂带不同时期的活动反映了不同特征的构造环境，形成不同的构造变形特征，并对两侧的地质历史具有明显的控制作用。     

死海（约旦）里散半岛的重磁勘查

里散半岛位于非洲板块和阿拉伯板块交接处的死海盆地中。该盆地面积大，构造简单且有下沉运动，说明它是一拉张型盆地。由重力异常数据发现死海盆地可划分成沿南北延伸各约３０ｋｍ长的几个块体，里散半岛是其中最深的一个。中生代沉积厚度约６ｋｍ，更新世沉积厚度为９ｋｍ。死海盆地的拉张距离为２０ｋｍ，表明死海盆地的年龄约３．３Ｍａ。里散半岛下部的前寒武纪结晶基底磁化率较高，这与区内延续的构造活动性有关。     

桐柏─大别山北麓金矿带地质物化探找矿模型

从桐柏─大别山成矿带区域地质、地球物理、地球化学特征的研究入手，分析与金成矿有关的地层、构造、岩浆岩等控矿因素的地球物理场及地球化学特征；建立区域金矿找矿模型。     

S－闭空间上的函数

研究了当Ｘ为Ｓ－闭空间时，Ｃ（Ｘ）的子集Ｆ为紧的充要条件，从而扩充了著名的Ａｓｃｏｌｉ定理。     

黑龙江省地下水资源可持续力战略问题研究

水资源是社会经济可持续发展的基础，特别是地下水资源在工农业和居民生活中起着重要作用。黑龙江省地下水资源分布和开采不平衡，但通过科学调配、合理利用，地下水资源能够满足国民经济可持续发展需求。     

Virtual Huanghe River System： Framework and Technology

1 Introduction Huanghe (Yellow) River basin is located in 32°–42°N, 96°–119°E. The area of the catchment is more than 752,000km2. The river is 5464km long with a drop in elevation of 4830m. Among the whole area, the moun- tainous and stone area accounts for 29%, loess and hills area 46%, sandy area 11% and plain area 14%, respec- tively. Different natural landscapes exist in this area. The Huanghe River flows through the Loess Plateau, where the soil is eroded seriously (Wang, 2002;…     

SIMULATION AND PREDICTION OF DEBRIS FLOW USING ARTIFICIAL NEURAL NETWORK

Debris flow is one of the most destructive phenomena of natural hazards. Recently, major natural haz-ard, claiming human lives and assets, is due to debris flow in the world. Several practical methods for forecasting de-bris flow have been proposed, however, the accuracy of these methods is not high enough for practical use because of the stochastic and non-linear characteristics of debris flow. Artificial neural network has proven to be feasible and use-fill in developing models for nonlinear systems. On the other hand, predicting the future behavior based on a time se-ries of collected historical data is also an important tool in many scientific applications. In this study we present a three-layer feed-forward neural network model to forecast surge of debris flow according to the time series data collect-ed in the Jiangjia Ravine, situated in north part of Yunnan Province of China. The simulation and prediction of debris flow using the proposed approach shows this model is feasible, however, further studies are needed.     

右江盆地二叠纪孤立碳酸盐岩台地边缘海绵礁特征、时代及海绵礁相

右江盆地二叠纪孤立碳酸盐岩台地边缘海绵礁由于生长在不同的古地理位置,因而具有两种类型的海绵礁特征;成礁期可确定在中二叠统祥播阶晚期→晚二叠统;海绵礁造礁旋回由礁基→礁核→礁坪→礁滩→礁顶组成。对Ⅰ类海绵礁底部所产生的不整合面,文章首次提出属事件沉积不整合面,并对其成因做了探讨。