A heuristic cellular automata approach for modelling urban land-use change based on simulated annealing

This article presents a novel cellular automata (CA) approach to simulate the spatio-temporal process of urban land-use change based on the simulated annealing (SA) algorithm. The SA algorithm enables dynamic optimisation of the CA's transition rules that would otherwise be difficult to configure using conventional mathematical methods. In this heuristic approach, an objective function is constructed based on a theoretical accumulative disagreement between the simulated land-use pattern and the actual land-use pattern derived from remotely sensed imagery. The function value that measures the mismatch between the actual and the simulated land-use patterns would be minimised randomly through the SA process. Hence, a set of attribution parameters that can be used in the CA model is achieved. An SA optimisation tool was developed using Matlab and incorporated into the cellular simulation in GIS to form an integrated SACA model. An application of the SACA model to simulate the spatio-temporal process of land-use change in Jinshan District of Shanghai Municipality, PR China, from 1992 to 2008 shows that this modelling approach is efficient and robust and can be used to reconstruct historical urban land-use patterns to assist with urban planning policy-making and actions. Comparison of the SACA model with a typical CA model based on a logistic regression method without the SA optimisation (also known as LogCA) shows that the SACA model generates better simulation results than the LogCA model, and the improvement of the SACA over the LogCA model is largely attributed to higher locational accuracy, a feature desirable in most spatially explicit simulations of geographical processes.     

A new discovery of transition rules for cellular automata by using cuckoo search algorithm

This paper presents an intelligent approach to discover transition rules for cellular automata (CA) by using cuckoo search (CS) algorithm. CS algorithm is a novel evolutionary search algorithm for solving optimization problems by simulating breeding behavior of parasitic cuckoos. Each cuckoo searches the best upper and lower thresholds for each attribute as a zone. When the zones of all attributes are connected by the operator ‘And’ and linked with a cell status value, one CS-based transition rule is formed by using the explicit expression of ‘if-then’. With two distinct advantages of efficient random walk of Lévy flights and balanced mixing, CS algorithm performs well in both local search and guaranteed global convergence. Furthermore, the CA model with transition rules derived by CS algorithm (CS-CA) has been applied to simulate the urban expansion of Nanjing City, China. The simulation produces encouraging results, in terms of numeric accuracy and spatial distribution, in agreement with the actual patterns. Preliminary results suggest that this CS approach is well suitable for discovering reliable transition rules. The model validation and comparison show that the CS-CA model gets a higher accuracy than NULL, BCO-CA, PSO-CA, and ACO-CA models. Simulation results demonstrate the feasibility and practicability of applying CS algorithm to discover transition rules of CA for simulating geographical systems.     

柴达木周缘金属矿床成因类型、成矿规律与成矿系列

位处青藏高原东北部、古亚洲构造域与特提斯构造域结合部位的柴达木盆地周缘地区,是一个具有复杂构造演化历史的多旋回复合造山区.同时,该区也是我国重要的、极富潜力的金属成矿带.在综合分析以往多年工作成果基础之上,较系统总结研究了区域成矿地质构造背景、区域构造演化、主要矿床类型、区域成矿规律与成矿系列.结果表明:该区地质构造演化主要经历了前寒武纪古陆形成、早古生代造山、晚古生代—早中生代造山和中新生代叠复造山等4个构造旋回.其中,早古生代和晚古生代—早中生代构造旋回与区内金属成矿关系密切;总结出6个主要矿床成因类型,分属于拉伸裂解构造背景的喷气-沉积矿床组合(包括VMS型、SEDEX型)和与造山过程有关的造山矿床组合(包括斑岩型、矽卡岩型、热液脉型、造山带型金矿等);该区成矿作用具有多期、多矿种和多类型的特点,初步总结划分出5个金属矿床成矿系列,即与新元古代—寒武纪裂解有关的铜多金属矿床成矿系列、与奥陶—志留纪裂解有关的铜钴铅锌多金属矿床成矿系列、与晚加里东陆-陆碰撞有关的金多金属矿床成矿系列、与晚古生代裂解有关的铜多金属矿床成矿系列、与晚华力西—印支期造山有关的铁铜铅锌金多金属矿床成矿系列.     

基于语义网的地名本体服务框架研究

本文在总结地名本体的基本概念基础上,根据基于地理空间语义网的日常地理信息查询需要,进行了地名本体的概念设计.地名本体的设计可以分为两个阶段,第一阶段主要偏重于初级本体的设计,它主要支持地理对象的标示和检索等较为初级的任务.第二阶段将支持更多高级的任务,例如空间推理等.本文通过地名本体模型的构建,探讨了基于语义网的地名本...     

准噶尔盆地石南31井区清水河组油气水层分布规律

针对石南31井区储层岩性多变、油气水关系复杂等问题,按不同岩性识别油气层、水层和干层,据油气不同测井响应特征进一步识别油层和气层.将储层划分为细砂岩、中粗砂岩和砂砾岩3类,识别储层流体性质,分析油藏分布特征,指出油层、隔夹层平面分布特征,探讨油气水层分布规律.结果表明,石南31井区主要有4个油藏.储层所含流体有油、水和气,中北部细砂岩储层为纯油层,南部中粗砂岩储层为水层.气层从南到北分布于全区,主要位于油藏北部和东部局部区域,为今后解释工作具很好指导意义.     

广东龙门上仓铅锌矿成矿特征及成矿规律研究

龙门上仓铅锌矿是广东省上仓式沉积改造型铅锌矿的典型矿床。通过对龙门上仓铅锌矿的矿床特征进行研究,综合前人的研究成果,归纳总结出该矿床的成矿要素,并且对矿床的成矿模式进行了初步探讨。研究表明,由大赛坝组构成槽部的开阔向斜以及南西翼帽子峰组层间破碎带构成的控矿构造是该矿的必要成矿要素。矿床成因属于岩浆热液—沉积改造型。     

紫色土坡耕地细沟发育的形态演变

研究细沟发育的形态演变规律是认识细沟发生机理的前提,本研究通过人工降雨与微地貌扫描相结合的方法,调查了紫色土坡耕地细沟发生过程的形态演变特征.采用三维激光扫描仪扫描不同降雨时段坡面,生成高精度坡面DEM图像,统计各时段不同坡段等高线偏离度,量算坡面凹陷区的表面积、周长、直径以及沟头下切深度;结果表明,等高线偏离度越大细沟发育越完全,有细沟发生坡面等高线偏离度是无细沟坡面的1倍以上;凹陷区的表面积、周长、直径相对于单位降雨量的扩展速率均在细沟贯穿时段出现最大值;跌坑位置与坡面水平起伏关系不明显,统计的3条沟头分别发育于水平方向起伏的最高点、中间点和低点;跌坑下切深度及其单位降雨量的扩展速率在跌坑贯穿形成细沟时段出现最大值,之后逐渐降低,说明跌坑的形成是细沟造床的关键.     

低渗透油藏CO2驱过程中含水率变化规律

通过国内外多个油田水驱后实施CO2驱的矿场实例研究,发现注入CO2后很多油井存在含水率下降的现象;这种现象发生在CO2驱的整个开发阶段,包括注气初期阶段CO2未到达生产井、生产井见气阶段以及高气油比阶段。重点讨论了生产井见气前的开发规律,在该阶段油藏内以油水两相渗流为主,不受三相渗流作用的影响。通过现场动态反应并结合室内细管和长岩心实验,揭示了CO2与油、水2种介质的相互作用,得到了两个结论:第一是始于低含水阶段的CO2驱过程中气体穿越地层水驱替地层油到达生产井;第二是始于高含水阶段的CO2驱替规律在不同级别低渗透岩心中的差异非常明显:对于特低渗岩心,CO2突破前的采出程度占CO2驱总采出程度的73.27%,CO2突破后的采出程度占26.73%,对于一般低渗岩心,CO2突破前的采出程度仅占CO2驱总采出程度的16.72%,而CO2突破后的采出程度占到了CO2驱总采出程度的83.28%。     

西藏南部吉隆盆地晚中新世-早更新世介形类群落研究

本文在西藏南部吉隆盆地新生代沉积中获得丰富的介形类化石,根据介形类动物群在地层剖面上的分布规律,建立了8个介形类群落,自下而上为:Leucocytherella trinoda-Ilyocypris群落;Ilyocypris pentanada-Leucocytherella hyalina群落;Candoniella zadaensis-Leucocytherella群落;Eucypris subgyrongensis-Candoniella zadaensis群落;Leucocytherella-Cadoniella zadaensis群落;Leucocythere mirabilis-Leucocytherella hyalina群落;Leucocythere mirabilis-Leucocytherella glabra群落和Leucocythere mirabilis-Leucocytherella trinoda群落。通过对介形类群落进行详细的特征分析,并结合磁性地层年代学数据,将吉隆盆地7.2～1.67Ma的古气候划分为5个期次:①7.2～6.7Ma为暖湿期;②6.7～5.8Ma为凉湿期;③5.8～3.6Ma为暖湿期;④3.6～2.6Ma为凉湿期;⑤2.6～1.67Ma为冷干期。将研究区的7.2Ma以来的气候演化特征与全球气候演变对比认为:吉隆盆地7.2～5.8Ma间的气候以暖湿为主,可能与来自印度的东南季风加强有关;5.8～3.6Ma间吉隆盆地古气候分析显示为相对暖湿期,可能与来自印度洋的东南季风再次加强有关;3.6Ma后,由于是受全球气候变冷、冬季风加强及青藏高原强烈隆升的影响,吉隆盆地气候向更寒冷干旱的环境转变。     

依兰盆地达连河组油页岩沉积特征及分布规律

依兰盆地为伸展作用下形成的半地堑式断陷盆地,油页岩发育于古近系达连河组中。油页岩与煤层伴生,分布在煤层顶部,是最主要的含矿层位。它形成于湖泊体系与沼泽体系,主要发育在水进体系域与高水位体系域中。其中,高水位体系域即上煤层顶板存在油页岩密集段,使得盆地油页岩资源潜力大幅度提高。达连河矿区是油页岩富集成矿的中心区带,东西向断裂控制着达连河组油页岩矿层的埋深以及展布成矿过程。