湖北省农业地质灾害及防治对策

本文论述了湖北省农业地质灾害的类型、分布、危害,并提出了防治对策。     

热带海洋环境中BHC和DDT的行为特征研究Ⅰ.中国珠江口区旱季BHC和DDT的含量与分布

本文于1994年11月用气相色谱法研究了旱季珠江口区环境中BHC和DDT的含量与分布。结果表明，表层海水BHC含量为0.187μg/L，DDT为0.080μｇ/L；底层海水BHC为0.117μｇ／L，DDT为0.506μｇ／L。沉积物BHC为11.15×10－9（干），DDT为33.46×10－9（干）。海水中的盐度、DO、C     

废水中对—氨基苯酚的电位溶出法测定

采用Nafion修饰电极,以微分计时电位溶出法分析测定废水中对—氨基苯酚(PAP)。在选定的条件下,PAP的测定范围在1.0μ～0.5mmol/l之间;最低检测浓度为0.1μmol/l;标准偏差为1.6％:方法的回收率为92.5％～96.5％。     

Sensitivity experiments and assessment of climatic changes in China induced by greenhouse effect

Climatic changes can be separated into two parts: natural changes -and human activity influenced on climatic changes. The observed data could not only show the effects caused by human activity. Several simulated results as simulated by the GCMs induced by the greenhouse effects in China .have been analysed. It is shown that an obvious warming of about 3-6℃ in winter and 2-5℃ in summer in China as simulated by the GCMs induced by doubling CO2 have been found. There are getting drier or wetter regions in China due to doubled CO2 as simulated by most of models. Comparing the simulated results with the observed data in China, some simulated results are able to be believed. The GCMs should be improved, especially in the regional areas.     

炼油厂污水处理负荷的削减措施

总结和分析了某厂削减污水处理负荷的主要措施及效益，预测该厂在达到16000kt/a以上加工规模时的污水处理负荷。     

Monitoring and identification of spatiotemporal landscape changes in multiple remote sensing images by using a stratified conditional Latin hypercube sampling approach and geostatistical simulation

This study develops a stratified conditional Latin hypercube sampling (scLHS) approach for multiple, remotely sensed, normalized difference vegetation index (NDVI) images. The objective is to sample, monitor, and delineate spatiotemporal landscape changes, including spatial heterogeneity and variability, in a given area. The scLHS approach, which is based on the variance quadtree technique (VQT) and the conditional Latin hypercube sampling (cLHS) method, selects samples in order to delineate landscape changes from multiple NDVI images. The images are then mapped for calibration and validation by using sequential Gaussian simulation (SGS) with the scLHS selected samples. Spatial statistical results indicate that in terms of their statistical distribution, spatial distribution, and spatial variation, the statistics and variograms of the scLHS samples resemble those of multiple NDVI images more closely than those of cLHS and VQT samples. Moreover, the accuracy of simulated NDVI images based on SGS with scLHS samples is significantly better than that of simulated NDVI images based on SGS with cLHS samples and VQT samples, respectively. However, the proposed approach efficiently monitors the spatial characteristics of landscape changes, including the statistics, spatial variability, and heterogeneity of NDVI images. In addition, SGS with the scLHS samples effectively reproduces spatial patterns and landscape changes in multiple NDVI images.     

福建省热带气旋暴雨型地质灾害特征分析

福建是受热带气旋影响较严重的省份,又是一个多山的省份,每年都有因热带气旋暴雨诱发滑坡等地质灾害造成巨大人员伤亡和经济损失的事例发生.通过分析福建省1990～2006年热带气旋暴雨诱发的地质灾害个例,发现热带气旋暴雨型地质灾害的规模和强度均比雨季暴雨诱发的地质灾害大;它的发生与热带气旋路径、过程雨量和当日雨量关系密切,地质灾害主要发生在强降水后的48 h内;热带气旋登陆前后,若有偏东急流、西南季风、冷空气、暖式切变等系统共同作用,对暴雨具有增幅作用,极易引发地质灾害.     

西南部分地区麻疯树种子油的理化性质及脂肪酸组成分析

从西南6个地区采集了麻疯树种子并分析比较了其生物学性状和种子油的理化性质及脂肪酸组成.所有样品的百粒重范围为41.80~71.39g,出仁率60.02%~81.43%,种仁含油率51.76%~57.93%,种子含油率31.07%~47.17%,不饱和脂肪酸含量74.89%~79.68%.其中永胜产麻疯树的种子品质最好,其出仁率为81.43%,种仁含油率57.93%,种子含油率47.17%,不饱和脂肪酸含量79.68%.攀枝花和宁南产麻疯树的种子品质次之.双柏和罗甸麻疯树的种子油酸值为0.81,在所有样品(0.81~9.46)中最低.对麻疯树种子及种子油性质的相关数据进行方差分析,结果表明,产地不同,麻疯树种子的生物学性质、种子油理化性质和脂肪酸组成都有一些差异.图2表3参18     

Modeling porosity reductions caused by mineral fouling in continuous-wall permeable reactive barriers

A study was conducted to assess key factors to include when modeling porosity reductions caused by mineral fouling in permeable reactive barriers (PRBs) containing granular zero valent iron. The public domain codes MODFLOW and RT3D were used and a geochemical algorithm was developed for RT3D to simulate geochemical reactions occurring in PRBs. Results of simulations conducted with the model show that the largest porosity reductions occur between the entrance and mid-plane of the PRB as a result of precipitation of carbonate minerals and that smaller porosity reductions occur between the mid-plane and exit face due to precipitation of ferrous hydroxide. These findings are consistent with field and laboratory observations, as well as modeling predictions made by others. Parametric studies were conducted to identify the most important variables to include in a model evaluating porosity reduction. These studies showed that three minerals (CaCO3, FeCO3, and Fe(OH)2 (am)) account for more than 99% of the porosity reductions that were predicted. The porosity reduction is sensitive to influent concentrations of HCO3-, Ca2+, CO3(2-), and dissolved oxygen, the anaerobic iron corrosion rate, and the rates of CaCO3 and FeCO3 formation. The predictions also show that porosity reductions in PRBs can be spatially variable and mineral forming ions penetrate deeper into the PRB as a result of flow heterogeneities, which reflects the balance between the rate of mass transport and geochemical reaction rates. Level of aquifer heterogeneity and the contrast in hydraulic conductivity between the aquifer and PRB are the most important hydraulic variables affecting porosity reduction. Spatial continuity of aquifer hydraulic conductivity is less significant.