A machine learning approach for predicting computational intensity and domain decomposition in parallel geoprocessing

ABSTRACT

High performance computing is required for fast geoprocessing of geospatial big data. Using spatial domains to represent computational intensity (CIT) and domain decomposition for parallelism are prominent strategies when designing parallel geoprocessing applications. Traditional domain decomposition is limited in evaluating the computational intensity, which often results in load imbalance and poor parallel performance. From the data science perspective, machine learning from Artificial Intelligence (AI) shows promise for better CIT evaluation. This paper proposes a machine learning approach for predicting computational intensity, followed by an optimized domain decomposition, which divides the spatial domain into balanced subdivisions based on the predicted CIT to achieve better parallel performance. The approach provides a reference framework on how various machine learning methods including feature selection and model training can be used in predicting computational intensity and optimizing parallel geoprocessing against different cases. Some comparative experiments between the approach and traditional methods were performed using the two cases, DEM generation from point clouds and spatial intersection on vector data. The results not only demonstrate the advantage of the approach, but also provide hints on how traditional GIS computation can be improved by the AI machine learning.     

Simulating methane emission from a Chinese rice field as influenced by fertilizer and water level

Natural and agricultural wetlands are considered to be the major sources of global atmospheric methane (CH₄). A one‐dimensional model was developed to simulate methane emission and used to examine the influence of various physical processes on the rate of methane emission. Three processes involved in the methane emission are implemented in the model: production, reoxidation and transport. Three transport pathways were considered: diffusion across water–air or soil–air interfaces, ebullition and diffusion through plants. These pathways are influenced by soil properties, plant growth, water‐table conditions, temperature and external inputs (e.g. fertilizer). The model was used to examine the seasonal variation of the methane emission at a rice field in Hunan, China, which was observed during a field experiment for consecutive (early and late) rice seasons in 1992. The observed seasonal variations of methane emission, and role of plants in transporting methane to the atmosphere, are captured by the model simulation. Further model applications were conducted to simulate effects of fertilizer and water‐level condition on the methane emission. The results indicate that unfermented organic fertilizer produces a higher methane emission rate than mineral fertilizer. The simulations with treatments of a deep‐water covering and constant moisture reduced the methane emission. The rice field study provides a framework for further development of the model towards simulations based on spatially distributed variables (e.g. water table, soil temperature and vegetation) at a regional scale. Copyright © 2003 John Wiley & Sons, Ltd.     

Glacier change and glacier runoff variation in the Tuotuo River basin,the source region of Yangtze River in western China

Glaciers in the Tuotuo River basin, western China, have been monitored in recent decades by applying topographical maps and high-resolution satellite images. Results indicate that most of glaciers in the Tuotuo River basin have retreated in the period from 1968/1971 to 2001/2002, and their shrinkage area is 3.2% of the total area in the late 1960s. To assess the influence of glacier runoff on river runoff, a modified degree–day model including potential clear-sky direct solar radiation has been applied to the glaciated regions of the river basin over the period 1961–2004. It was found that glacier runoff has increased in the last 44 years, especially in the 1990s when a two-thirds increase in river runoff was derived from the increase in glacier runoff caused by loss of ice mass in the entire Tuotuo River basin.     

缢蛏Sinonovacula constricta卵子发生的超微结构分析

本文描述了缢蛏卵子发生过程细胞学和超微结构的特征。在卵黄发生前期,卵母细胞胞质中存在着核质外排小体和大量的核糖体。在卵黄发生期,卵质中可见发达的内质网、环孔瓣状体和大量的线粒体及高尔基体等;卵核上有核膜泡和核膜小管的结构,并可观察到核孔数目大量增加。文中讨论了上述几种结构在卵子发生过程中的作用以及它们之间的关系。     

基于圆增长特征的点状要素群选取算法

控制点、独立地物等在地图上呈点群状表达,如何高效、合理地实现此类要素的自动综合是地图多尺度表达的重要问题。文中在前人研究的基础上,提出一种基于圆增长特征的点状要素群结构化选取算法,实现点状要素群的自动选取。其基本原理是：根据一个点与其周围点重要性程度的比较来确定该点删除与否,从而确保其拓扑关系和几何信息的正确性。实验证明：该算法实用、有效。     

~(40)Ar/~(39)Ar Dating of Deformation Events and Reconstruction of Exhumation of Ultrahigh-Pressure Metamorphic Rocks in Donghai, East China

Recent investigations reveal that the ultrahigh-pressure metamorphic (UHPM) rocks in the Donghai region of East China underwent ductile and transitional ductile-brittle structural events during their exhumation. The earlier ductile deformation took place under the condition of amphibolite facies and the later transitional ductile-brittle deformation under the condition of greenschist facies. The hanging walls moved southeastward during both of these two events. The 40Ar/39Ar dating of muscovites from muscovite-plagioclase schists in the Haizhou phosphorous mine, which are structurally overlain by UHPM rocks, yields a plateau age of 218.0±2.9 Ma and isochron age of 219.8Ma, indicating that the earlier event of the ampibolite-facies deformation probably took place about 220 Ma ago. The 40Ar/39Ar dating of oriented amphiboles parallel to the movement direction of the hanging wall on a decollement plane yields a plateau age of 213.1±0.3 Ma and isochron age of 213.4±4.1 Ma, probably representing the age o     

页岩压裂影响因素三维模型数值分析

不同影响因素对页岩水力压裂效果有不同的影响。基于三维数值计算模型介绍了水力压裂的典型过程,针对水平最小主应力、页岩的弹性模量和渗透系数对压裂的影响进行了分析。结果表明:随着水平最小主应力的增加,裂缝高度也随之增加;随着页岩的弹性模量增加,裂缝的高度随之降低;随着渗透系数的增加,裂缝高度也随之增加;随着压裂液的黏度系数提高,裂缝的高度降低。     

基于超像元词包特征和主动学习的高分遥感影像变化检测

为解决高分辨率遥感影像变化检测中存在底层特征缺乏语义信息、像元级的检测结果存在“椒盐”现象以及监督分类中样本标注自动化程度较低,本文提出一种基于超像元词包特征和主动学习的变化检测方法。首先采用熵率分割算法获取叠加影像的超像元对象;其次提取两期影像像元点对间的邻近相关影像特征（相关度、斜率和截距）和顾及邻域的纹理变化强度特征（均值、方差、同质性和相异性）,经线性组合作为像元点对的底层特征;然后基于像元点对底层特征利用BOW模型构建超像元词包特征,并采用一种改进标注策略的主动学习方法从无标记样本池中优选信息量较大的样本,且自动标注样本类别;最后训练分类器模型完成变化检测。通过选用2组不同地区的GF-2影像和Worldview-Ⅱ影像作为数据源进行实验,实验结果中2组数据集的F1分数分别为0.8714、0.8554,正确率分别为0.9148、0.9022,漏检率分别为0.1681、0.1868,误检率分别为0.0852、0.0978。结果表明,该法能有效识别变化区域、提高变化检测精度。此外,传统主动学习方法与改进标注策略的主动学习方法的学习曲线对比显示,改进的标注策略可在较低精度损失下,有效提高样本标注自动化程度。     

2010年度地球化学领域项目评审与资助成果分析

1 2010年度受理申请项目和同行评议情况2010年度面上项目、青年基金和地区基金申请项目共577项,较2009年增长10.75%。面上项目申请数量为345项,较2009年增长28项,占学部申请项目数的7.66%;青年基金申请项     

内蒙古东南部早三叠世花岗岩带岩石地球化学特征及其构造环境

锆石U-Pb定年结果表明位于林西县北西的转山子岩体的形成时代为245.6±0.9Ma,该岩体与内蒙古东南部的龙头山和建设屯岩体共同构成一条大致平行于西拉木伦河蛇绿岩带的早三叠世花岗岩带。岩石学和地球化学分析表明,上述早三叠世岩体属于钙碱性和高钾钙碱性系列,铝饱和指数(ACNK)均小于1.1,属于偏铝质或弱过铝质的I型花岗岩。其中,转山子岩体轻重稀土分馏较弱,含有较低的Sr含量(400×10-6),显示经典岛弧岩石的特征;建设屯岩体具有强烈的轻重稀土分馏以及较高的Sr含量(400×10-6),显示埃达克岩的地球化学特征;龙头山岩体的轻重稀土分馏特征和Sr的含量总体介于前两者之间。锆石Hf同位素分析表明,上述三个岩体都具有正的εHf(t)值。岩石地球化学特征反映它们起源于不同深度的新生下地壳不同程度的部分熔融作用。综合考虑区域地层和岩浆岩资料,本文认为该花岗岩带与区域上同时代的镁铁质火山岩共同形成于西伯利亚和中朝古板块碰撞造山过程中与伸展有关的地球动力学环境,可能与向南俯冲的古亚洲洋板块在早三叠世的断离引起的软流圈上涌有关。