Exurbia from the bottom-up: Confronting empirical challenges to characterizing a complex system

We describe empirical results from a multi-disciplinary project that support modeling complex processes of land-use and land-cover change in exurban parts of Southeastern Michigan. Based on two different conceptual models, one describing the evolution of urban form as a consequence of residential preferences and the other describing land-cover changes in an exurban township as a consequence of residential preferences, local policies, and a diversity of development types, we describe a variety of empirical data collected to support the mechanisms that we encoded in computational agent-based models. We used multiple methods, including social surveys, remote sensing, and statistical analysis of spatial data, to collect data that could be used to validate the structure of our models, calibrate their specific parameters, and evaluate their output. The data were used to investigate this system in the context of several themes from complexity science, including have (a) macro-level patterns; (b) autonomous decision making entities (i.e., agents); (c) heterogeneity among those entities; (d) social and spatial interactions that operate across multiple scales and (e) nonlinear feedback mechanisms. The results point to the importance of collecting data on agents and their interactions when producing agent-based models, the general validity of our conceptual models, and some changes that we needed to make to these models following data analysis. The calibrated models have been and are being used to evaluate landscape dynamics and the effects of various policy interventions on urban land-cover patterns.     

四川盆地水热型地热资源构造成因模式

地处青藏高原东缘的四川盆地是一个群山环绕的叠合型沉积盆地,蕴含着丰富的地热资源。四川盆地具有突变型和渐变型两类盆山结构,二者的构造样式存在明显差异,对盆地及周缘的水热型地热资源分布具有明显的控制作用。通过解析盆地及周缘地质构造,明确了盆地不同构造单元的构造样式;详细对比分析已有的地热勘查案例的异同性,提出了褶皱型、单斜型和褶皱—断裂复合型等3大类水热型地热资源的构造成因模式;认为四川盆地形成与演化过程中,构造运动与水热型地热资源的形成密切相关,主要表现在：1）频繁不均匀升降运动导致构造—沉积格局分异,控制着地热储盖层岩性、组合及区域展布;2）构造抬升形成的不整合面和古岩溶作用极大改善了地热储层的孔渗物性和流体输导能力,形成了优质的碳酸盐岩孔洞型热储;3）断裂可能是地下热水的补给通道和输导系统,亦或是阻隔屏障,取决于断裂类型和断层两盘岩性配置关系;4）地下热水易于沿具走滑分量断层和张性断层进行补给和输导。

     

准噶尔盆地玛湖凹陷西斜坡三叠系百口泉组扇三角洲优质储集层预测

针对准噶尔盆地玛湖凹陷西斜坡风南地区三叠系百口泉组扇三角洲砂岩物性空间变化大、优质储集层(孔隙度大于7.4%,渗透率大于0.05×10^-3μm²)预测难的问题,在沉积岩石学、地震沉积学以及地震反演和解释理论指导下,综合利用测井、岩心和三维地震等资料开展了高精度层序地层划分、沉积微相描述和优质储集层地震反演研究。建立了风南井区四级层序地层格架,明确了扇三角洲多期水进水退的充填过程,指出SSQ3和SSQ5是优质储集层的发育层系;识别出扇三角洲平原分流河道、河道间和扇三角洲前缘水下分流水道、河口坝、席状砂等沉积微相,指出扇三角洲平原是优质储集层发育相带;通过应用高分辨层序地层纵向边界和沉积相横向边界约束,进行分层相控叠后地震波阻抗反演,提升储集层预测精度,在SSQ3和SSQ5预测5个优质储集层发育区,提出3口井的井位建议,钻探均获工业油流。     

废弃矿山高陡岩壁生态修复浅析 —以三亚某采石场生态修复项目为例

废弃矿山生态修复工作,除了资金上的压力外,技术上的难度也是很高的,尤其是对开挖形成的高陡岩壁进行复绿,是很考验技术水平的.本文以三亚某采石场生态修复项目为例,详细介绍V型种植槽在高陡岩壁生态修复中的运用及治理效果,为同类型的治理工程提供参考和经验.     

阿尔泰造山带富蕴基性麻粒岩折返过程:来自裂变径迹热年代学的限定

论文在阿尔泰造山带富蕴县乌恰沟基性麻粒岩的锆石SHRIMP年代学、地球化学、变质温压条件和形成的大地构造背景研究基础上,利用麻粒岩、围岩片麻岩和侵入到麻粒岩的辉绿岩岩墙的裂变径迹热年代学探讨了麻粒岩从深部折返至地表的过程。裂变径迹年代学研究发现基性麻粒岩的锆石裂变径迹年龄为三叠纪,而麻粒岩、围岩片麻岩和侵入到麻粒岩的辉绿岩岩墙的磷灰石裂变径迹年龄均显示为晚白垩世至新生代早期。对磷灰石裂变径迹测试所得到的径迹长度和单颗粒年龄数据进行热史模拟表明,三叠纪时,基性麻粒岩抬升至约地表以下7.8km的上地壳,温度冷却至锆石裂变径迹的封闭温度;晚白垩世至新生代早期(约100～50Ma),麻粒岩、围岩片麻岩和辉绿岩抬升至约地表以下3.5km,温度冷却至磷灰石裂变径迹的封闭温度;约50～15Ma,三者滞留在约地表以下1.7km的磷灰石部分退火带;约15Ma以来,喜马拉雅运动使得它们被抬升剥蚀至地表。     

桃花拉山一带遥感成矿环境浅析

本区位于龙首山山系西部,属甘肃省重要的铜、镍金属矿远景成矿带。利用大比例尺航天、航空像片及计算机功能处理片对桃花拉山一带地质构造作了详细解译,首次圈出青龙山菱块构造和环形构造,结合已有地质、矿产、物化探成果进行综合研究,提出了桃花拉山,青龙山遥感找矿模式,为开展矿产普查工作提供了有效地质信息。     

对西秦岭拉尔玛地区太阳顶群进一步划分的意见

太阳顶群是一套黑色含碳硅质碎屑岩系，化石贫乏。笔者１９８８年在拉尔玛地区该群拉尔玛组上部发现有ＣｙｌｉｎｄｒｏｃｈｉｔｅｓｄａｉｚｎｕａｎｇｚｉｅｎｓｉｓＬｉｕ和ＨｙｏＬｉｔｈｅｌｌｕｓｑｉｎｇｈｅｅｓｉｓＬｉｕ等微体小壳化石，分别相当于陕西宁强、湖北房县、四川峨嵋麦坪和云南昆明梅树村产的Ｈｙｏｌｉｔｈｅｓｓｐ。和Ａｕａｂａｒｉｔｅｓ－Ｃｉｒｃｏｔｈｅｃａ化石组合，是下寒武统底部梅树村阶的标准带。根据微体小壳化石组合和岩性特征，将原太阳顶群拉尔玛组的上部，以铁质条带硅质板岩风化壳为标志的沉积间断为底界，时代定为下寒武统。将拉尔玛组中下部以下地层，时代定为上震旦统。     

岷礼东部──湘潭子一带金及多金属矿床成矿规律与地球化学特征

岷礼东部－湘潭子一带蕴藏着甘肃省最大的金矿床和铅锌矿庆。主要控矿地层为中泥盆统，该套地层地球化学条件优越，断裂构造十分发育，岩浆活动非常强烈，是金及多金属矿床的有利成矿地段。区内矿床可划分为四大系列，６个类型。利用地球化学特征，分析主要控矿因素对成矿的控制作用；总结主要矿种的成矿规律；筛选出３个找矿远景区。     

The Operational Forecasting of Total Precipitation in Flood Seasons (April to September) of 5 Years (1983-1987)

Ⅰ.INTRODUCTION We have discovered that there exists a good corresponding relationship between theanomalous axes of soil temperature at a depth of 1.6m in winter (December to February) andprecipitations in following flood season (Tang et al., 1982a). We have also designed a simplethermodynamical model and applied it to the forecasting of precipitations in the flood season(Tang et al., 1982 b,c). The practical forecast started from 1975. Before 1980, however, therewere only 40-50 stations in China for measuring the soil temperature at a 1.6m depth. Since1980, the stations have been increased to a total of about 180, but no available mean valueshad been obtained from newly added stations before 1982. Therefore the analysis and map-ping of anomalies of soil temperature was not performed until 1983, and from then on theprecision of analysis has been greatly improved. The following is the actual situation of forecast in five years from 1983 to 1987.