1993年咸宁地震群震害损失及发震成因探讨

1993年7~8月,湖北省咸宁地区发生了一系列ML≤4.1的地震。从地震系列、地表破坏状况和地震宏观等烈度线展布特征出发,深入研究了地震与地质构造及地下水动态变化的关系,得出结论地震群可能为抽取地下水引起的构造变动而诱发。     

风水复合侵蚀研究述评

风水复合侵蚀或风水交互作用是干旱、半干旱地区常见的侵蚀过程。这种风力与流水对同一侵蚀对象 (区域) 的共同作用或交替作用塑造了风蚀水蚀交错区特有的侵蚀地貌景观。作为一个相互联系、影响的复杂系统,风水复合侵蚀具有明显的时空分布特征,其侵蚀过程可以划分为古代过程与现代过程。由于以往的风蚀和水蚀研究相互独立,风水复合侵蚀的研究起步较晚。在研究中存在着尺度转化与研究方法不成熟等问题。对风水复合侵蚀的机理与防治以及土壤复合可蚀性的研究都将成为今后研究中的重点与难点。     

青藏高原中东部水热条件与NDVI的空间分布格局

青藏高原受大气环流和地势格局的共同作用,水热条件及植被空间分布呈现独特的三维地带性特征。但是青藏高原范围广、地势起伏大,水热条件及植被空间分布具有明显区域差异。本文利用青藏高原中东部100个气象站1982²000年的降水、气温资料以及同期NO-AA AVHRR植被指数产品（NDVI）,分析水热条件及植被的空间分布特征。首先,设置经向、纬向海拔渐变样带,考察海拔对水热条件及NDVI空间分布的影响;然后,按500米海拔间隔进行站点分组,分析约束了海拔高差后的经纬位置对水热条件及NDVI空间分布的影响。研究表明:在青藏高原中东部由于海拔高差大,热量条件分布首先受海拔递减规律控制,其次才表现出因太阳辐射差异的纬度地带性;而降水分布则主要受水汽通道位置和方向的影响,北上水汽和东部偏南走向山脉是研究区降水经向特征的主要成因;指示植被状况的年均NDVI,则受水热组合的控制,其分布格局是二者的叠加与综合。     

渤海与环渤海地区年降水量的统计分析

本文以渤海海域及环渤海地区分水岭内为研究区域,利用环渤海地区分水岭内92个气象站点自1971年至2000年30年的降水量资料,基于ARC/INFO地理信息系统支持下的泰森多边形法,对研究区域内的平均年降水量进行了统计分析。结论如下:环渤海地区分水岭以内区域的平均年降水量占整个环渤海地区2000年降水量的63.88%;渤海海域海水直接利用量占该海域平均年降水量的8.82%,其中辽东湾的海水利用量占该湾平均年降水量的3.09%,渤海湾为15.86%,莱州湾为17.38%;辽东湾2002年的海冰资源量占该湾平均年降水量的6.08%。在渤海海域水量平衡的关系研究中,本研究是初步的,基础的。划出分水岭内的研究区域进行平均年降水量的统计较对整个环渤海地区进行统计更具精确性。     

南京地区表土镉汞铅含量的空间统计分析

在南京城区和周围郊区近2500km2的区域内,采集了670个表层土壤样品,分析了Cd、Hg、Pb等重金属含量。在ARCGIS等地理信息系统软件的支持下,用地统计学等空间分析方法,分析了数据的概率分布特征、空间自相关特征以及变异函数特征。结果表明,研究区内表层土壤中Cd、Hg、Pb等重金属元素平均含量显著高于其全国平均水平;并且不同的元素具有不同的空间自相关特征;变异函数分析显示,Cd和Hg的分布具有明显的空间异质性,而Pb的方向性不明显。元素空间分布特征的研究对研究污染源和污染扩散具有一定指示和引导作用。     

华南红土主元素表生地球化学特征

华南红土从其母岩到表土,普遍表现为主元素SiO2、K2O、Na2O淋失,Fe2O3、Al2O3、N、S富集。红土饱和水含量最高的是D2型红土,最低的是老红沙型红土。在岩石与上层红土风化特征中,风化强度以γ型红土最强,而灰岩型红土最弱;淋溶系数最大的是灰岩型红土,最小的为γ型红土;变异系数最大的为灰岩型红土,最小的为Q2型红土。从空间上看,红土的表生地球化学特征、红土成分的变异系数、红土的淋溶系数、红土的风化率和风化强度、红土湿度和温度等均受母岩、气候纬度效应制约。相关分析表明,华南红土中的水含量和土温与Fe2O3含量呈正相关关系。初步研究表明,华南红土的表生地球化学特征是长期和多种环境变化的真实记录。     

流动单元划分新方案及其在临南油田的应用

把沉积学与储层物性相结合, 从流动单元体系的角度出发, 提出了流动单元划分的新方案.在流动单元体系内部划分出流动单元、亚流动单元和渗流区3个不同层次.在储层精细小层对比的基础上, 首先根据区域内连续分布的隔层把储层分成几个独立的流体压力系统, 即流动单元; 然后再根据不连续分布的隔层, 把一个流动单元进一步分成若干个亚流动单元; 最后根据储层物性的差别把流动单元/亚流动单元划分成不同的渗流区.按照这个思路, 选取临南油田的典型高产区块———以三角洲前缘亚相沉积为主的夏52块砂三中段三砂组, 进行了流动单元、亚流动单元和渗流区的划分, 共划分出7个流动单元、7个亚流动单元和63个渗流区, 这样划分出来的流动单元体系同时包括了油藏整体与局部细节的特征, 为油藏开发提供了详细的地质依据, 也在实际应用中取得了良好的效果.      

地下水补给与开采量对降水变化响应特征:以京津以南河北平原为例

通过对京津以南河北平原年降水量、地下水补给量和农业开采量三者动态规律及其互动关系研究表明, 年降水量减增, 同期地下水补给量与开采量呈互逆变化规律, 即降水量减小, 补给量变少, 开采量增大; 年降水量增大, 补给量较多, 开采量减小.在连续枯(丰) 水年份, 当年降水量减少(增加) 10mm时, 则地下水系统水量减少7.08 (增加7.06) mm, 水位下降(上升) 5.2~8.7cm; 在10~320mm变幅内, 当年降水量减少(增加) 10%时, 则地下水系统水量减少7.98 (增加7.67) %.气候旱化过程中降水变化对引起补给量减少和开采量增加的幅度, 大于气候增雨过程中降水变化对补给量增大和开采量减少的影响程度.因此, 需要重视连续枯水年份降水变化对地下水系统影响的应对举措, 这对于提高我国北方区域地下水资源供给安全保障具有重大意义.      

Preliminary results of 4-D water vapor tomography in the troposphere using GPS

Slant-path water vapor amounts (SWV) from a station to all the GPS (Global Positioning System) satellites in view can be estimated by using a ground-based GPS receiver. In this paper, a tomographic method was utilized to retrieve the local horizontal and vertical structure of water vapor over a local GPS receiver network using SWV amounts as observables in the tomography. The method of obtaining SWV using ground-based GPS is described first, and then the theory of tomography using GPS is presented. A water vapor tomography experiment was made using a small GPS network in the Beijing region. The tomographic results were analyzed in two ways: (1) a pure GPS method, i.e., only using GPS observables as input to the tomography; (2) combining GPS observables with vertical constraints or a priori information, which come from average radiosonde measurements over three days. It is shown that the vertical structure of water vapor is well resolved with a priori information. Comparisons of profiles between radiosondes and GPS show that the RMS error of the tomography is about 1–2mm. It is demonstrated that the tomography can monitor the evolution of tropospheric water vapor in space and time. The vertical resolution of the tomography is tested with layer thicknesses of 600 m, 800 m and 1000 m. Comparisons with radiosondes show that the result from a resolution of 800m is slightly better than results from the other two resolutions in the experiment. Water vapor amounts recreated from the tomography field agree well with precipitable water vapor (PWV) calculated using GPS delays. Hourly tomographic results are also shown using the resolution of 800 m. Water vapor characteristics under the background of heavy rainfall development are analyzed using these tomographic results. The water vapor spatio-temporal structures derived from the GPS network show a great potential in the investigation of weather disasters.     

Soil moisture retrieval from satellite images and its application to heavy rainfall simulation in eastern China

The soil water index (SWI) from satellite remote sensing and the observational soil moisture from agricultural meteorological stations in eastern China are used to retrieve soil moisture. The analysis of correlation coefficient (CORR), root-mean-square-error (RMSE) and bias (BIAS) shows that the retrieved soil moisture is convincible and close to the observation. The method can overcome the difficulties in soil moisture observation on a large scale and the retrieved soil moisture may reflect the distribution of the real soil moisture objectively. The retrieved soil moisture is used as an initial scheme to replace initial conditions of soil moisture (NCEP) in the model MM5V3 to simulate the heavy rainfall in 1998. Three heavy rainfall processes during 13–14 June, 18–22 June, and 21–26 July 1998 in the Yangtze River valley are analyzed. The first two processes show that the intensity and location of simulated precipitation from SWI are better than those from NCEP and closer to the observed values. The simulated heavy rainfall for 21–26 July shows that the update of soil moisture initial conditions can improve the model’s performance. The relationship between soil moisture and rainfall may explain that the stronger rainfall intensity for SWI in the Yangtze River valley is the result of the greater simulated soil moisture from SWI prior to the heavy rainfall date than that from NCEP, and leads to the decline of temperature in the corresponding area in the heavy rainfall days. Detailed analysis of the heavy rainfall on 13–14 June shows that both land-atmosphere interactions and atmospheric circulation were responsible for the heavy rainfall, and it shows how the SWI simulation improves the simulation. The development of mesoscale systems plays an important role in the simulation regarding the change of initial soil moisture for SWI.