VARIATIONS IN THE TELECONNECTION INTENSITY INDICES AND THEIR REMOTE RESPONSE TO THE EL NINO EVENTS IN THE NORTHERN HEMISPHERE*

In this study,the monthly and seasonal teleconnection intensity indices of the Pacific/North American(PNA),Western Atlantic(WA),Western Pacific(WP),Eastern Atlantic(EA) and Eurasian(EU) patterns for the period from 1951 through 1990 are calculated.On this basis,their climatic variations and the relationship between the five teleconnection intensity indices and the El Nino events are examined.It is noted that when El Nino is at its mature stage(winter),the weak WP pattern is mainly characteristic of the circulation and the strong PNA pattern is the next.In summer when El Nino occurs and develops,the strong EU,weak WP and weak WA patterns are the main characteristics without the PNA circulation anomalies.Finally,by the nonlinear mapping method a nonlinear mapping diagram is established for diagnosing El Nino using three summer teleeonuection intensity indices and May and August Southern Oscillation Indices(SOIs).Thus,the El Nino phenomenon occurring in 1991 is diagnosed.Besides,the winter atmospheric circulation of the 1991/1992 El Nino is found to be the weak WP pattern and the PNA pattern is also weak.     

TRANSIT: a GIS toolbox for estimating the duration of ancient sail-powered navigation

Cost-surface analysis in Geographic Information System (GIS) environment has been less frequently used in the study of ancient sail navigation than in other studies of the human past. Navigation cost-surface analysis entails the use of GIS tools that are versatile but not very easy to grasp and to put to work. This article describes an ArcGIS toolbox built to facilitate cost-surface analysis of ancient sail navigation. It estimates the navigation time from a start location, considering parameters relevant for the generation of an accumulated anisotropic cost-surface, automating the complex workflow required to meaningfully pre- and post-process the data. Acknowledging the limitations inherent to the tool, and to the modeling of a complex matter such as sail navigation, the toolbox is first described and then used in a worked example. Historically recorded voyages in the Mediterranean during classical antiquity are compared to estimated durations generated by the toolbox. In spite of structural and expected limitations, the results indicate that the proposed toolbox may produce reasonable estimates. These should be thought of as values gravitating around, not matching, likely past durations. The estimated values may prove useful as an indication of the order of magnitude of past voyages’ duration, and as frame of reference in measuring ancient maritime space through time.     

A study on the early-warning technique concerning debris flow disasters

According to the principle of the eruption of debris flows, the new torrent classification techniques are brought forward. The torrent there can be divided into 4 types such as the debris flow torrent with high destructive strength, the debris flow torrent, high sand-carrying capacity flush flood torrent and common flush flood by the techniques. In this paper, the classification indices system and the quantitative rating methods are presented. Based on torrent classification, debris flow torrent hazard zone mapping techniques by which the debris flow disaster early-warning object can be ascertained accurately are identified. The key techniques of building the debris flow disaster neural network (NN)real time forecasting model are given detailed explanations in this paper, including the determination of neural node at the input layer, the output layer and the implicit layer, the construction of knowledge source and the initial weight value and so on. With this technique, the debris flow disaster real-time forecasting neural network model is built according to the rainfall features of the historical debris flow disasters, which includes multiple rain factors such as rainfall of the disaster day, the rainfall of 15 days before the disaster day, the maximal rate of rainfall in one hour and ten minutes. It can forecast the probability, critical rainfall of eruption of the debris flows, through the real-time rainfall monitoring or weather forecasting. Based on the torrent classification and hazard zone mapping, combined with rainfall monitoring in the rainy season and real-time forecasting models, the debris flow disaster early-warning system is built. In this system, the GIS technique, the advanced international software and hardware are applied, which makes the system′s performance steady with good expansibility. The system is a visual information system that serves management and decision-making, which can facilitate timely inspect of the variation of the torrent type and hazardous zone, the torrent management, the early-warning of disasters and the disaster reduction and prevention.     

Tropical land use land cover mapping in Pará (Brazil) using discriminative Markov random fields and multi-temporal TerraSAR-X data

Remote sensing satellite data offer the unique possibility to map land use land cover transformations by providing spatially explicit information. However, detection of short-term processes and land use patterns of high spatial–temporal variability is a challenging task.We present a novel framework using multi-temporal TerraSAR-X data and machine learning techniques, namely discriminative Markov random fields with spatio-temporal priors, and import vector machines, in order to advance the mapping of land cover characterized by short-term changes. Our study region covers a current deforestation frontier in the Brazilian state Pará with land cover dominated by primary forests, different types of pasture land and secondary vegetation, and land use dominated by short-term processes such as slash-and-burn activities. The data set comprises multi-temporal TerraSAR-X imagery acquired over the course of the 2014 dry season, as well as optical data (RapidEye, Landsat) for reference. Results show that land use land cover is reliably mapped, resulting in spatially adjusted overall accuracies of up to 79% in a five class setting, yet limitations for the differentiation of different pasture types remain.The proposed method is applicable on multi-temporal data sets, and constitutes a feasible approach to map land use land cover in regions that are affected by high-frequent temporal changes.     

腾龙洞造成的洪涝灾害及治理方案的优选

湖北省利川市毗邻清江,其下游腾龙洞清江伏流段阻流壅水严重,影响到了城区.本文通过对腾龙洞形态结构特点及其周围地质环境的研究,认为该地下河入口(落水洞)至银河洞尾一段过水断面狭窄,阻流壅水是造成利川市城郊遭受水灾的主要原因.治理时,以隧道加溶洞方案最为经济     

浆混花岗岩专题填图方法初探——以东昆仑加鲁河地区为例

东昆仑造山带花岗岩中广泛发育暗色微粒包体,含有丰富的壳幔岩浆混合作用的证据,被认为是研究岩浆混合作用的天然场所。适逢近阶段同源花岗岩谱系填图方案在造山带岩浆混合(浆混)花岗岩图区实践时深受质疑,本研究以东昆仑加鲁河地区浆混花岗岩为例,开展浆混花岗岩区专题填图试点工作,旨在探索一套适合浆混花岗岩填图的岩石单位划分方案。从野外地质、岩相学、岩石和矿物化学等不同角度论证了加鲁河花岗闪长岩及其内部包体形成于开放体系下的壳幔岩浆混合作用。在填图工作中,将图区内的岩浆岩划分为浆混花岗岩和非浆混花岗岩2个超单元。以岩浆混合作用为理论依据,将浆混花岗岩超单元划分为基性端元、酸性端元和浆混产物3个二级单位,对于2个端元岩石单位按照其矿物组成、结构构造等方面的差异(岩浆演化导致)再次划分最基本岩石单位——侵入体,对于浆混产物单位,建议可按照岩浆混合程度差异或者内部包体变化规律灵活划分基本岩石单位——浆混体。由此建立了一套可与同源花岗岩谱系单位相兼容的浆混花岗岩谱系单位划分方案,为岩浆混合花岗岩区开展填图工作提供了初步探索方案。     

变形监测应用技术

论述变形监测技术的意义、内容、精度与各种应用,及其在地质灾害预防中的作用。     

浙江省嵊州市乡镇地质灾害易发分区研究

编制地质灾害易发区图是地质灾害防治工作的一项重要任务。在完成地质灾害调查与区划的基础上,浙江省全面推广1：1万乡镇地质灾害易发区图编制工作,为土地利用总体规划修编、地质灾害防治提供了操作性、针对性更强的依据。本文通过介绍浙江省嵊州市乡镇地质灾害易发分区的编制过程及方法,对地质灾害易发分区中存在的问题进行了探讨。     

浅析省级基础测绘数据在城市建模中的应用

利用基础测绘数据中房屋数据获取和编辑的方法,探讨1:10 000基础测绘数据中的建筑物在城市地理信息服务和建模中的应用以及目前基础测绘数据与城市建模数据间的差距.