Analysing spatio-temporal footprints of urbanization on environment of Surat city using satellite-derived bio-physical parameters

Our study examines the relationships among various environmental variables in Surat city using remote sensing. Landsat Thematic Mapper satellite data were used in conjugation with geospatial techniques to study urbanization and correlation among satellite-derived biophysical parameters namely, normalized difference vegetation index (NDVI), normalized difference built-up index (NDBI), normalized difference water index (NDWI), normalized difference bareness index (NDBaI) and land surface temperature (LST). A modified NDWI (MNDWI) was used for extracting areas under water. Land use/land cover classification was performed using hierarchical decision tree classification technique using ERDAS IMAGINE Expert classifier with an accuracy of 90.4% for 1990 and 85% for 2009. It was found that city has expanded over 42.75 sq.km within two decades. Built-up, fallow and sediment land use classes exhibited high dynamics with increase of nearly 200% and 50% and decrease of 55% respectively from 1990 to 2009. Vegetation and water classes were less dynamic with 20% decrease and 15% increase. The transformation of land parcels from vegetation to built-up, vegetation to fallow and fallow to built-up has resulted in increase of LST by 5.5 ± 2.6°C, 6.7 ± 3°C and 3.5 ± 2.9°C, respectively.     

ENERGY SOURCES FOR EVAPORATION ON TROPICAL ISLANDS

The sources of energy for evaporation on tropical islands were explored by studying 49 lowland sites in the Hawaiian Islands with concurrent pan evaporation and solar radiation measurements. The Priestley-Taylor (1972) method was used to quantify the contribution of solar radiation in evaporation and the residual term between estimated and measured evaporation was attributed to heat advection. Pearson correlation coefficients between monthly measured and estimated evaporation (using solar radiation data) were greater than 0.95 at 26 of the sites, 0.90 for 37 sites, and 0.80 at 46 of the 49 sites used in the study. As expected, solar radiation supplies the bulk of the energy absorbed by evaporation at low elevations in Hawaii. However, a pattern of negative advection in summer and positive advection in winter from the surrounding ocean modifies the monthly evaporation values. For the 20 sites showing the greatest oceanic influence, departures ranged, on average, from +0.84 mm/day in November to -0.71 mm/day in June. This onshore advection corresponds to the seasonal lag in sea surface temperatures. At inland and wet lee sites, the effect of advection from oceanic sources diminishes. At dry lee sites, strong positive advection is evident in summer and autumn, enhancing evaporation by up to 2.8 mm/day. [Key words: evaporation, energy, tropical islands, radiation, advection]     

油气长输管道滑坡地质灾害危险性评价专家系统研究

以运营的油气长输管道工程为依托,在收集、整理、综合分析既有资料基础上,通过对大量滑坡案例进行分析,明确了滑坡地质灾害的主要诱发因素与稳定性控制指标,建立了滑坡危险性评价指标体系。应用专家系统研究方法,建立油气长输管道线路滑坡地质灾害危险性评价专家系统,并对具体工程进行了地质灾害危险性评估,结果符合实际,可为油气长输管道工程地质灾害减灾防灾提供技术支撑。     

基于激光诱导击穿光谱的贺兰石识别分析

利用激光诱导击穿光谱(Laser Induced Breakdown Spectroscopy:LIBS)分析技术实现对贺兰石样品的实时、快速分析。实验基于LIBS技术采集贺兰石光谱数据,利用三次样条插值、数据平滑、标准正态校正等数据预处理方法,结合线性判别分析进行特征提取,利用贝叶斯分类器实现了贺兰石样品的快速、准确分析。实验结果表明该方法对贺兰石平均识别率为:99.5%,标准差1.31%,说明该方法识别贺兰石效果较好。     

青海北巴颜喀拉成矿带基于专家证据权重法锑金矿资源潜力评价

青海北巴颜喀拉成矿带虽然总体研究程度低,但显示出巨大的找矿潜力,急需寻求新的找矿突破。利用前人的地质、矿产、化探等资料,建立了青海北巴颜喀拉成矿带基于GIS的空间数据库。在此基础上重新建立了研究区锑金矿区域找矿模型,其中主要找矿标志包括金水系沉积物异常、锑水系沉积物异常、砷水系沉积物异常、重砂异常、NW－NWW向线性构造和巴颜喀拉山群。采用作者提出的专家证据权重法,对研究区首次进行了基于GIS下的专家证据权重法矿产资源评价工作。据此重新圈定找矿远景区和找矿靶区,将后验概率大于0.001的区域作为找矿远景区,将后验概率大于0.005的区域作为找矿靶区;并依据找矿靶区内预测含矿区域后验概率二重积分大小,将找矿靶区的找矿潜力级别由高到低分别划分为A 、B 、C 3级,其中A级6处,B级10处,C级13处。     

塔里木油田井控技术研究

阐述了塔里木油田探井井控的技术现状,对所涉及的井控问题进行了研究;针对井控作业中井控设备与内防喷工具压力级别的选择、压井方法、井身结构等的通行做法,提出了进一步的改善途径,对泥浆密度附加值的选择、专家井控与制度井控、井喷等问题进行了探讨.     

海洋鱼类疾病诊断系统中的多参数的证据不确定性推理机制

在分析、归纳、总结不确定性推理相关问题的基础上,提出基于充分性参数、必要性参数和可信度因子(规则强度)等多参数的证据不确定性推理方法。该方法能够表示具有复杂不确定性加权关系的诊断规则,并且能够根据证据规则的约束条件通过数值计算获取规则的不确定性相关参数;通过在开发的海洋鱼类疾病诊断专家系统中的应用,很好地体现了疾病诊断中存在的不确定性,有效地减少了主观因素对诊断结论准确性的影响。     

专家系统及其在矿产预测中的应用

专家系统是一门新兴的计算机人工智能实用学科，它能够应用专家的知识和思维方式去解决实际问题。它主要由知识库和推理机组成。ＨＮＤＰＥＳ系统是在总结河南主要矿产成矿规律的基础上建造的矿床预测专家系统。在河南省富铝土矿成矿预测中取得了良好的效果。     

Artificial intelligence methods in geological forecasting

The objective of applications of expert systems to geological forecasting is to use heuristic knowledge of experienced geologists, as well as their intuition and facility for drawing the right forecast conclusions based on incomplete data. At the same time, considerable experience is accumulated in geological forecasting with formal mathematical models that generalize the setting of some forecast problem classes. Thus, the bottom-up heuristic approach and the more formal top-down methods are aspiring to the same aim, so they supplement and strengthen each other. A forecast expert system called GENESIS that allows both approaches to be used has been produced. The heuristic part of GENESIS is the empty expert system, which consists of the knowledge definition language, destined for an expert geologist, the knowledge base used for forecast models storing, then forming knowledge base facilities, relational database for storing user's data and forecast specimen, components that organize the certain inference and its explanation.