Bayesian approach to contaminant source characterization in water distribution systems: adaptive sampling framework

Bayesian analysis can yield a probabilistic contaminant source characterization conditioned on available sensor data and accounting for system stochastic processes. This paper is based on a previously proposed Markov chain Monte Carlo (MCMC) approach tailored for water distribution systems and incorporating stochastic water demands. The observations can include those from fixed sensors and, the focus of this paper, mobile sensors. Decision makers, such as utility managers, need not wait until new observations are available from an existing sparse network of fixed sensors. This paper addresses a key research question: where is the best location in the network to gather additional measurements so as to maximize the reduction in the source uncertainty? Although this has been done in groundwater management, it has not been well addressed in water distribution networks. In this study, an adaptive framework is proposed to guide the strategic placement of mobile sensors to complement the fixed sensor network. MCMC is the core component of the proposed adaptive framework, while several other pieces are indispensable: Bayesian preposterior analysis, value of information criterion and the search strategy for identifying an optimal location. Such a framework is demonstrated with an illustrative example, where four candidate sampling locations in the small water distribution network are investigated. Use of different value-of-information criteria reveals that while each may lead to different outcomes, they share some common characteristics. The results demonstrate the potential of Bayesian analysis and the MCMC method for contaminant event management.     

Scale matching of multiscale digital elevation model (DEM) data and the Weather Research and Forecasting (WRF) model: a case study of meteorological simulation in Hong Kong

It is becoming easier to combine geographical data and dynamic models to provide information for problem solving and geographical cognition. However, the scale dependencies of the data, model, and process can confuse the results. This study extends traditional scale research in static geographical patterns to dynamic processes and focuses on the combined scale effect of multiscale geographical data and dynamic models. The capacity for topographical expression under the combined scale effect was investigated by taking multiscale topographical data and meteorological processes in Hong Kong as a case study. A meteorological simulation of the combined scale effect was evaluated against data from Hong Kong Observatory stations. The experiments showed that (1) a digital elevation model (DEM) using 3 arc sec data with a 1 km resolution Weather Research and Forecasting (WRF) model gives better topographical expression and meteorological reproduction in Hong Kong; (2) a fine-scale model is sensitive to the resolution of the DEM data, whereas a coarse-scale model is less sensitive to it; (3) better topographical expression alone does not improve weather process simulation; and (4) uncertainty arising from a scale mismatch between the DEM data and the dynamic model may account for 38 % of the variance in certain meteorological variables (e.g., temperature). This case study gives a clear explanation of the significance and implementation of scale matching for multiscale geographical data and dynamic models.     

The water resources of lakes in China

This paper mainly deals with water resources of China's lakes. Lakes in China are mainly scattered over five drainage basins, with a total area of 73,580 km² and a storage capacity of 746,000 million m³, in which the fresh water amounts to 221,000 million m³. The water resources of lakes are not evenly distributed in the regions. Their variations within a year and between years are great. So attention should be paid to the rational utilization of water resources and the problems in mangement need careful and skilful handling.     

亚洲地震委员会(ASC)第七次学术大会暨日本地震学会(SSJ)秋季会议在日本筑波召开

由亚洲地震委员会和日本地震学会联合主办,日本多个学术机构参与协办的第七届亚洲地震委员会学术大会暨日本地震学会秋季会议于2008年11月24--28日在日本筑波(Tsukuba)举行.     

河北平原的浅埋古河道

河北平原埋深8—30m的砂层透镜体,呈一定方向的条带状分布,具有许多河流相沉积标志。相对于地面出露古河道(埋深0—8m)和深部埋藏古河道(埋深60—100m以下),我们称之为浅部埋藏古河道,简称浅埋古河道。     

西藏羌塘西北部干枯沟地区早三叠世晚期碱性岩类的发现

碱性花岗岩分布于西藏羌塘北部的花岗岩带内,岩石K2O Na2O含量达11.27%～12.02%,具高铝、高碱、低铁镁组分的特征,属碱性花岗岩类.地球化学特征表明,该碱性岩形成于后碰撞期.形成该岩体的物质主要来源于加厚陆壳的中下部,反映了研究区古特提斯闭合后经历了陆内造山阶段.霞石正长岩同位素锆石U-Pb年龄为248.7Ma±2.6Ma,相当于早三叠世晚期.碱性花岗岩的出现是西藏西北部古特提斯造山带崩塌开始的岩石学标志.     

The Characteristics of Spinels in Mantle-derivedXenoliths in Cenozoic Basalts from Eastern Chinaand Their Thermal States

The colours and chemical composition variations of 160 spinels in peridotite and pyroxenite xenoliths from Cenozoic basalts in eastern China and their petrogeneses have been studied in detail. The relationships between major elements of spinels are discussed. The equilibrium temperatures, pressures and oxygen fugacities of spinels and their coexisting olivines, orthopyroxenes and clinopyroxenes have been determined using the Brey-kohler' s T-P calculation methods (1990) and Ballhaus' fo2 calculation method (1991). The relationships betweenthe composition and the equilibrium temperatures, pressures or oxygen fugacities of spinels in peridotite xenoliths from the basalts and the stable field of the spinels in the upper mantle have been shown.     

2000—2015年柴达木盆地植被覆盖度时空变化及其与环境因子的关系

基于MODIS-NDVI、DEM和气象数据,分析柴达木盆地2000—2015年植被覆盖度(FVC)时空变化特征,并与降水、温度、日照时数、相对湿度、蒸散量和海拔进行相关、偏相关或叠加分析,探讨FVC与各环境因子的关系。结果表明:FVC整体自东南向西北内陆呈半环状递减,FVC集中在20%以下,人类活动及径流等打破植被地带性规律;2000—2015年FVC明显改善,广泛分布于盆地中西部地区,2001—2002年年际变化最显著;FVC与降水、相对湿度以正相关为主,与温度关系不显著,与日照时数和蒸散量主要为负相关,降水对FVC贡献最大,温度通过影响蒸散量等间接影响FVC,而土壤蒸发对蒸散量的影响大于植物蒸腾;FVC与等高线空间分布较吻合,FVC在2 800~2 900 m和4 600~4 700 m出现两个峰值,4 700 m以上FVC迅速降低。     

基于图像处理技术的岩心裂缝图像提取

基于数字图像处理技术,利用油田大量现场岩心纵向(或平面)劈开面图像资料,可直接分离出岩心剖面上裂缝信息.最大类间方差法的二值化算法是基于类间方差达到最大为准则,采用该法获得了理想的二值化效果,较准确地从岩心剖面中提取出裂缝图像信息.