Integrating cellular automata,artificial neural network,and fuzzy set theory to simulate threatened orchards: application to Maragheh,Iran

Urbanization processes challenge the growth of orchards in many cities in Iran. In Maragheh, orchards are crucial ecological, economical, and tourist sources. To explore orchards threatened by urban expansion, this study first aims to develop a new model by coupling cellular automata (CA) and artificial neural network with fuzzy set theory (CA–ANN–Fuzzy). While fuzzy set theory captures the uncertainty associated with transition rules, the ANN considers spatial and temporal nonlinearities of the driving forces underlying the urban growth processes. Second, the CA–ANN–Fuzzy model is compared with two existing approaches, namely a basic CA and a CA coupled with an ANN (CA–ANN). Third, we quantify the amount of orchard loss during the last three decades as well as for the upcoming years up to 2025. Results show that CA–ANN–Fuzzy with 83% kappa coefficient performs significantly better than conventional CA (with 51% kappa coefficient) and CA–ANN (with 79% kappa coefficient) models in simulating orchard loss. The historical data shows a considerable loss of 26% during the last three decades, while the CA–ANN–Fuzzy simulation reveals a considerable future loss of 7% of Maragheh’s orchards in 2025 due to urbanization. These areas require special attention and must be protected by the local government and decision-makers.     

Approach to calculating spatial similarity degrees of the same river basin networks on multi-scale maps

Obtaining spatial similarity degrees among the same objects on multi-scale maps is of importance in map generalization. This paper firstly defines the concepts of ‘map scale change’ and ‘spatial similarity degree’; then it proposes a model for calculating the spatial similarity degree between a river basin network at one scale and its generalized version at another scale. After this, it validates the new model and gets 16 points in the model validation process. The x-coordinate and y-coordinate of each point are map scale change and spatial similarity degree, respectively. Last, a formula for calculating spatial similarity degree taking map scale change as the only variable is obtained by the curve fitting method. The formula along with the model can be used to automate the algorithms for simplifying river basin networks.     

四川观音梁子锰矿床地质特征及找矿意义

观音梁子锰矿赋存于寒武系邱家河组中,是龙门山中段在邱家河组中新发现的工业锰矿床。通过矿区勘探工作及室内观察、测试等手段,对矿区成矿地质背景、含锰岩系、矿体及矿石矿物特征、矿床成因、找矿前景等方面进行了初步总结分析。研究发现,观音梁子锰矿为典型的沉积型锰矿床,矿体呈层状产于邱家河组三段硅质白云岩中,延伸较稳定,严格受层位的控制;矿石类型为菱锰矿型,主要由菱锰矿、硫锰矿、水锰矿等组成。早寒武世,龙门山地区由于地壳拉张裂陷形成深海盆地,在还原环境下,锰元素与碳酸根直接结合形成碳酸锰矿物,稳定的物源、深海还原环境为锰矿富集提供了有利的成矿环境。观音梁子锰矿的发现,证实了龙门山北段邱家河组含锰层位的存在,为龙门山中段的锰矿找矿提供了契机,同时显示了寒武系邱家河组具有良好的找锰远景。     

云南富宁县水合口矿化蚀变信息提取和找矿预测

云南富宁水合口金矿位于滇东南文山―富宁成矿带,属于著名的滇黔桂"金三角"地区。利用landsat 8OLI遥感影像对研究区进行1∶100 000矿化蚀变信息提取,结合区域地质和化探异常等多元信息进行找矿预测,表明矿化蚀变、断裂构造交汇处和地球化学异常空间叠加部位为有利找矿地区,圈定了5个找矿远景区,为研究区开展下一步找矿提供了科学依据。     

河南萑香洼金矿地球化学分带模型研究

河南萑香洼金矿床作为典型的构造蚀变岩型金矿床,通过研究分析该矿床F985矿化带的Ⅰ号矿体各类元素组分在不同地质体的含量变化特征,原生晕异常分带特征和地球化学轴向分带特征,建立了该矿床完整的地球化学异常分带理想模型,得出矿床地球化学异常轴向分带序列确定为:烃类、Sb(前缘晕)→As、Hg(矿头)→(矿中晕)Au、Ag、Cu、Pb、Zn、W、Mn→(矿尾晕)Mo、Co、Ni、Sn,并总结出了找矿预测标志,为该矿区深部找矿提供了一定的科学理论依据。     

西秦岭凤太矿集区西部铅锌成矿特征及找矿方向

凤太矿集区是秦岭铅锌金成矿的重要组成部分,铅锌矿主要集中分布在矿集区的西部,可划分为南部的铅硐山―水柏沟铅锌(铜)矿带和北部的八方山―八卦庙―银母寺铜铅锌金矿带。目前区内发现的大、中型铅锌矿床均具有"沉积相+层位+构造"的"三位一体"的成矿规律,即热水喷流沉积是成矿的必备条件,古道岭组灰岩与星红铺组千枚岩接触面及附近是赋矿的主要层位,NWW向褶皱和断裂是控矿的重要因素。根据区域成矿规律、前人经验和野外总结,提出已知铅锌矿床的走向延伸部位、已发现矿体但勘查程度低的控矿背斜倾伏部位、受同一背斜控制的两个铅锌矿床之间的构造凹陷部位、与已知控矿背斜平行的次级隐伏背斜、白垩纪东河群下部、已知矿床两翼深部等部位是重要的找矿靶区和方向,应引起足够的重视。     

广西那坡马刚金矿床地质特征及找矿方向

广西马刚金矿床位于那坡褶皱带坡笨背斜的南东倾伏端。矿体受断裂构造的控制,产出与断裂构造、特定岩性、不整合界面有关,主要以含金破碎带型金矿体形式产出,赋存于矿区内NW向的断裂构造带中,少数产于辉绿岩与围岩的接触带内。结合矿床的地质特征及成因,总结了矿区内矿体的成矿规律,且指出了今后的找矿方向。     

Fifteen Years of Ocean Observations with China Argo

For 15 years since the beginning of China Argo project, China has deployed over 350 profiling floats in Pacific and Indian ocean, and constructed China Argo ocean observing network. Moreover, we have setup the Argo data receiving, processing and distributing system, and developed various Argo data products using Argo observations, which has promoted the progress of ocean data sharing in China. The abundant Argo data have become a main data source in oceanic and atmospheric basic researches and operational applications. A batch of important achievements in basic research and operational application have been brought, e.g. in aspects of tropical cyclone (typhoon), ocean circulation, meso-scale eddy, turbulence, heat/salt storage and transport and water mass, as well as in ocean, atmosphere/climate operational forecasting and predicting. With the extension of the international Argo program from “Core Argo” to “Global Argo”, we are faced with great challenges in the long-term maintaining and sustained developing of our Argo ocean observing network. It is suggested that we should take the opportunity to construct China regional Argo ocean observing network as soon as possible in adjacent northwestern Pacific and Indian ocean using Chinese BeiDou profiling floats, which will make us to take responsibility and obligation of a big country for addressing global climate changes and preventing natural disasters.     

西藏浪卡子也金嘎波金矿地球化学异常特征及勘查标志

也金嘎波金矿位于冈底斯成矿带上。该矿是在区域化探发现Au、As、Ag等多元素组合异常的基础上,通过矿点检查、异常查证和地质普查等工作新发现的、具较大规模的热液型金矿床。Au元素为区域、矿区成矿指示元素,伴生元素有W、As、Sb、Ag、Bi、Pb、Hg、Mo等。金矿体受构造—岩浆岩带控制,围岩蚀变主要为硅化、绢云母化、碳酸盐化、高岭土化。该金矿床的发现对在高寒山区应用地球化学方法寻找新的金矿具有指导意义。     

内蒙古阿勒特高勒金多金属矿地质特征及找矿前景

内蒙古乌拉特后旗阿勒特高勒金多金属矿位于内蒙古中部狼山—白云鄂博铜、铅、金、锌、铁、铂、镍多金属成矿带西段,该矿是在完成1∶5万区域矿产远景调查中通过化探异常查证发现的,金矿赋存于中元古界渣尔泰山群阿古鲁沟组,主要为一套浅变质碎屑岩建造,受NEE断裂构造控制,该金矿主要矿体赋存于地表长约1 km,宽约3~50m的褐铁矿化蚀变带中,蚀变带内石英脉发育。勘查区内圈定金矿体4条,深部钻探验证表明,矿体延深稳定。本文分析了阿勒特高勒金等多金属矿的矿床特征、控矿因素,总结了找矿标志,指出该区成矿潜力较大。