基于灰色聚类评估法的城市热环境空间分析

随着城镇化水平不断提高和全球气候变暖,城市热环境越来越受到关注。热环境是无法精确预知与预测的灰色系统。文章以城市热环境为切入点,对影响热环境的各驱动因子进行灰色优势分析,结果表明:在地理位置、日照、海拔、大气状况一定的条件下,城镇化水平对热环境起着决定性的影响,城镇空间扩展面与热环境过载区域基本吻合,除此之外绿地指数、地表层湿度、工业用地率的灰色优势度也较高,而地区生产总值强度,工农业总产值强度,人口密度的灰色优势度较低。在灰色优势度分析基础上对灰色聚类方法进行优化,利用优化的灰色聚类方法对研究区进行热环境评估分级,其与遥感反演地温平均重合率83%,更能反映热环境的形成原因。由于灰色聚类评估还存在主观因素影响如白化权函数的确定等以及遥感数据的不确定性,模型中的定量精确度有待进一步研究。     

基于LM-BP神经网络的Argo数据西北太平洋海水温度模型

以2007年西北太平洋海域Argo海表面温度、经纬度、深度为输入参数,利用LM-BP神经网络,构建了西北太平洋海水温度模型。将均方根差以及Pearson相关性系数作为检验指标,利用2008年和2009年的Argo数据对模型进行了检验。检验结果为:2008年均方根误差为0.714 0℃,Pearson相关性系数为0.996 8;2009年均方根误差为0.761 5℃,Pearson相关性系数为0.9965。表明所建立的基于LM-BP神经网络的Argo数据西北太平洋海水温度模型是可行的。     

江苏省地震科学数据共享平台技术研究

本文利用分布式数据库技术着力研究和开发了江苏省地震局的测震数据库、前兆数据库的共享、管理与集中发布技术。主要运用JSP（Java Server Page）技术及PHP（Hypertext Preprocessor）语言对测震的JOPENS系统中MySQL数据库、EQIM数据库、及前兆Oracle数据库等进行进一步地开发。搭建了一个行业内跨计算机操作平台的可视化的地震科技数据共享、交换及管理平台,实现了多种地震科学数据的（例如近、远震地震信息、各学科的运行率等）在线可视化、基于Google Map检索的地震信息服务等。     

通信技术在近海环境监测中的应用

本文针对海洋环境监测覆盖面广、站位分散、数据间断和频繁少量的特点以及海洋环境监测自动化、实时化和连续化的发展趋势,提出一种基于水上移动通信和水声通信技术的海底观测链方式,并以海床基监测数据实时传输系统为例,对系统组成、技术特点、技术原理和应用分别阐述,旨在推广通信技术在海洋环境监测领域中的应用。     

火电厂CO2捕集技术浅析

随着温室效应的加剧,CO2减排及回收净化和再利用技术成为各国关注的焦点。介绍了近年来CO2捕集技术的原理及优缺点,并对CO2捕集技术的前景进行了展望。     

Comparative experimental analysis of the effect of convective heat losses on the performance of parabolic dish water heater

This paper reveals comparative experimental analysis of the effect of variation of natural and forced convection heat losses on the performance of prototype parabolic dish water heater with coated and non-coated receivers. With the above-described system, hot water needs in domestic applications can be fulfilled instantly. A parabolic dish collector was used for instant water heating. Design of solar parabolic dish collector consists of truncated cone-shaped helical coiled receiver made up of copper at focal point. Instantaneous efficiency of 63% and 48% has been achieved with coated and non-coated receivers. This prototype has been evaluated for its performance with water flow rate of 0.0076 kg/s during the months of April and May 2010 at Shivaji University, Kolhapur, Maharashtra, India (latitude: 16.42° North, longitude: 74.13° West).     

温和地区高校宿舍冬季室内热舒适性评价

以昆明理工大学某学生宿舍作为研究对象,对室内热环境进行现场测试和问卷综合分析,根据测试和调查结果选取了有效温度作为衡量指标,基于MTS和PMV-PPD模型分析的方式对研究对象存在的冬季室内热环境较差、温度低、湿度高的问题进行了热舒适评价,旨在为昆明高校宿舍热环境的研究和改善提供参考。     

Statistical and Hybrid Methods Implemented in a Web Application for Predicting Reservoir Inflows during Flood Events

Reservoir management is a critical component of flood management, and information on reservoir inflows is particularly essential for reservoir managers to make real‐time decisions given that flood conditions change rapidly. This study's objective is to build real‐time data‐driven services that enable managers to rapidly estimate reservoir inflows from available data and models. We have tested the services using a case study of the Texas flooding events in the Lower Colorado River Basin in November 2014 and May 2015, which involved a sudden switch from drought to flooding. We have constructed two prediction models: a statistical model for flow prediction and a hybrid statistical and physics‐based model that estimates errors in the flow predictions from a physics‐based model. The study demonstrates that the statistical flow prediction model can be automated and provides acceptably accurate short‐term forecasts. However, for longer term prediction (2 h or more), the hybrid model fits the observations more closely than the purely statistical or physics‐based prediction models alone. Both the flow and hybrid prediction models have been published as Web services through Microsoft's Azure Machine Learning (AzureML) service and are accessible through a browser‐based Web application, enabling ease of use by both technical and nontechnical personnel.     

我国大型火电机组FGD未来发展方向探讨

针对大型火电机组FGD未来发展方向,对我国近年来火电厂烟气脱硫标准及FGD技术发展进行了回顾、分析,结论是随着国家环保标准的不断提高,必须为大机组FGD设备裕度考虑一定的空间,火电厂FGD将向多元化发展,湿式烟气脱硫(WFGD)将向BOT模式、规范化和大型化发展.