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.     

The Variabilities of the Soft and Hard X—ray Components of NGC 7314 and NGC 7582 and the Distribution of Absorbing Matter in Type Ⅱ AGNs

ASCA observations of the two Type Ⅱ AGNs,NGC7314 and NGC 7582,show clear variations in the broad X-ray band(0.4-10keV)on short timescales-10^4s.Spectral analysis indicates that they bot have an absorbed hard X-ray component and an unabsorbed soft“excess” component.To clarify the origin of the latter,we made a cross-correlation analysis of the two components.The results show that,for NGC7314,the soft X-ray variability is proportional to that of the hard X-ray component.This indicates that the active nucleus of NGC 7314 must be partially covered and so the soft emission is a “leaking” of the variable hard component.For NGC 7582,there is no detectable variability in the soft component, although there is a definite one in the hard component.This indicates that the variable nucleus of NGC 7582 must be fully blocked by absorbing matter,and the soft emission is most likely the scattered component predicted by the AGN unified model.     

脱水对浒苔光合作用的影响

对汕头南澳岛潮间带海藻浒苔(Enteromorpha     

大凌河流域河道生态需水量估算

本文从大凌河流域存在的环境问题出发,分别估算了各水资源分区的河道生态需水量（包括生态基流量、自净需水和输沙需水）及各区的河道生态需水贡献量。提出了使用偏枯年（75％保证率）水文数据估算河道生态需水量的方法．弥补了Tennant法、枯水季最小流量法等方法计算结果偏大或偏小的不足。结果表明,大凌河的4个河段（建凌站以上、建凌站至朝阳站、朝阳站至义县站、义县站至锦县段）的河道分区需水量分别为0．55×10^8m^3、5．21×10^8m^3、3．9×10^8m^3和1．34×10×10^8m^3。锦县水文站以上河道生态需水总量11×10^8m^3,占地表水总资源量的59．75％,因此．大凌河地表水资源取用率应在40％以下。     

中国东北依兰地区块状蓝片岩的地球化学特征

黑龙江省依兰地区分布的黑龙江杂岩被认为足具有缝合带性质的构造混杂岩,其中所含变基性火山熔岩中含有的变质矿物不具有定向组构特征,因此称之为块状蓝片岩.特征变质矿物--蓝闪石的大量出现表明其经历过高压低温变质作用.常量地球化学分析表明,其SiO2含量均在53%以下,TiO2含量超过2%,Na2O K2O的含量为2.77%～6.41%,Na2O的含量普遍大于K2O的含量,Na2O K2O-SiO2变异图显示其具有碱性玄武岩特征;痕量元素地球化学分析显示其轻重稀土元素分异明显,稀土元素配分曲线表现为轻稀土元素富集、重稀土元素亏损的右倾型.球粒陨石标准化图解中,不具有Eu的负异常;Nbx2-Zr/4-Y、Ti/100-Zr-Sr/2与Ba-Th-Nb-La图解的综合分析表明,块状蓝片岩具有碱性洋岛玄武岩(OIB)的特征,它们应是佳木斯地块与松嫩地块之间古洋壳俯冲过程的残留,这为探讨佳木斯陆块与松嫩陆块之间古老洋盆俯冲消减过程提供了重要依据.     

266nm短脉冲激光对泥鳅鱼的胚胎效应

首次使用266nm激光脉冲对泥鳅受精卵进行辐照,引起畸变。辐照分别对全卵、只对胚盘、只对卵黄三种方式进行。对实验结果的分析说明266nm激光对泥鳅受精卵的作用是光化学作用,而不是光致热效应,可能引起DNA分子结构—碱基的变化。核质关系实验证明了细胞质对细脆发育过程有控制作用。     

渤海湾海河口区浮游植物动态及其与有机污染的关系

近二十年来，随着海洋环境科学的发展，河口污染和生态问题日益受到重视。关于污水排放对河口内湾浮游植物生态的影响，近年Ketchum, B. H. (1967); McCormick, J.M. 等(1975); Rice, T. R. (1975); Jenkins, S. H. (1978); Thompson, G. B. 等(1981 ); Meyers, V. B. 等(1983)和Joint, I. R.(1984)都做过调查研究和评论。但迄今国内有关这方面的研究报道甚少。 海河口是一个有污染源的生态环境特殊的感潮河口，受自然因素和人类活动的影响很大。由于其地理位置得天独厚，水质肥沃，饵料丰富，历来是许多经济鱼虾类优良的天然产卵、索饵和肥育的场所，在渤海渔业上占有重要位置。但近十多年，由于入海径流量锐减和城市污水排海总量的增加1)，其水质逐渐恶化，环境正由半咸水向海洋化方向演变，对河口渔业构成严重威胁。对此，我所曾于1978-1981年对渤海湾的污染状况及影响进行过多学科的综合调查，在渤海湾污染的浮游植物生态效应、海湾富营养化及其与赤潮的关系等方面，也做过初步研究(邹景忠等，1983; 1984; 1985 )。当时由于受调查范围和项目的限制，对河口有机污染及生态效应的研究还很不够，所获得的一些资料尚不足以作出定量的科学论断。 本文着重探讨海河口区浮游植物的生态变化及其与有机污染的关系，旨在为综合分析和评价海河口区目前的生态质量及演变趋势，为河口环境的综合整治提供科学依据。     

Species composition and distribution of marine nematode community in the North Taiwan Strait

I~IOW~ne nelnatode is a ban gIOup of benthic OrgAnsrns. Abbot 5 000 spotes Of free-livingnelnatedes have ben dedbo so far, and it has ho estimated that abbot 20 (XX) are as yetunknoWn. Chinese bothologist has Paid attention to marine nelnatodes in China seas in yare. The spatial distribution and shoes commotion of marine nelnatedes in the HUanghe EstUary, Qinhuangdao waters, QingdaO Bay and Xiamen ~ have ho reported (Zhang etal., 1990, 1991, 1993; ac and Li, 1998). ~ new shoes in the…     

Anomalous change of the Antarctic sea ice and global sea level change

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I(L)值完全诱导空间

作者引入 I(L)值完全下半连续映射 ,研究其性质。利用 I(L)值完全下半连续映射定义I(L)值完全诱导空间 ,给出 I(L)值完全诱导空间的拓扑基的表达形式 ,证得两个 I(L)值完全诱导空间的映射是连续映射的充分必要条件 ,并建立了乘积空间的 I(L)值完全诱导空间与 I(L)值完全诱导空间的乘积空间的联系