用三性法对巴楚伽师6.8级地震的跨越式预测

介绍了用三性法对2003年2月24日新疆巴楚伽师6．8级地震的早期跨越式预测，并讨论了某些相关问题。所谓三性法就是大震时序上的周期性、倍周期性和黄金分割性的排列。     

太阳活动对地球表面温度影响的研究进展

论述了近年来对地球表面温度变化特征、原因研究的意义及研究进展。许多研究表明，20世纪全球地表气温的变化是自然因素和人为因素共同作用的结果。根据多种反映太阳活动的代用指标拟合的气候模型指出，太阳活动可以解释1850年以前气温变化的大部分情况。工业革命以来，温室气体成为不可忽视的影响因素，太阳活动对气候影响所占的比重及其相互作用的物理机制仍然是有待深入研究和解决的问题。     

太阳能路灯技术的国内外研究动态及其在浙江新农村建设中的应用

针对中国太阳能利用技术的现状，分析比较了太阳能路灯在国内利用的可行性，详细介绍了浙江某示范村的太阳能路灯工程情况，并对该工程进行了经济可行性的分析。     

RESIDUAL POWER AND ECONOMIC FEASIBILITY OF A SOLAR POWERED IRRIGATION SYSTEM1

ABSTRACT: The problem of nonmatching irrigation and solar power production seasons creates the problem of what to do with the surplus power. The economic law of opportunity cost dictates that substitution for currently commercially purchased power is the best use for this power. This law also allows for new power using enterprises that satisfy specific criteria to be used on the farm before sale of the residual to a local public utility can be considered. Economic and Financial Evaluation of the solar powered irrigation system show that the price of commercially purchased power must reach 9.5 cents per Kwh before the system is feasible under the ideal assumption of complete use of the residual power to substitute for commercially purchased power.     

大气中γ辐射空气吸收剂量率的波动机制

基于广西防城港市、福建福清市和宁德市的3个滨海核电厂周边γ辐射空气吸收剂量率长时间高频率的连续观测数据,从不同时间尺度进行系统解析.研究发现,在年际尺度上,2014～2020年间宁德嵛山岛站位γ辐射空气吸收剂量率呈现先上升后下降的趋势,与太阳活动的先减弱后增强存在一定的反相位关联;在季节尺度上,2019年度3个站位的观...     

TiO2与Cu2O光催化降解对硝基苯酚比较研究

分别采用自制的纳米TiO2和Cu2O研究对硝基苯酚的光催化降解.结果表明,模拟阳光条件下,100mg·l-1对硝基苯酚水溶液的氧化亚铜催化反应半衰期为20.0min,而二氧化钛不具备可见光催化能力;在SGY-1多功能光化学反应器中,TiO2催化降解对硝基苯酚的半衰期是48.1min.产物分析表明,n-型半导体二氧化钛的光催化反应存在两种降解历程,生成二羟基硝基苯或脱除硝基.而p-型半导体氧化亚铜催化的光降解反应未检出脱硝基产物,仅检出1,2-二羟基-4-硝基苯.     

Development of new monthly global and diffuse solar irradiation estimation methodologies and comparisons

In assessing and deciding the prediction schemes of solar irradiation countrywide, better the accuracy means better the management of energy transition toward renewables. Consequently, the present study is on the development of new models to make the most accurate possible estimations of the global and diffuse solar irradiation based on ground measurements. Such analysis produces the most accurate estimations for the input of solar energy systems. This is utmost significant for deciding the investments on solar energy systems and their design periods. Turkey is a high-potent country whose solar energy market has been growing rapidly. She doesn’t have adequate reliable measurement network and there is no estimation methodology developed for each and every point within its territory. Moreover, installing such a measurement system network doesn’t seem to be economically feasible and technically possible, inter alia. Accordingly, this study defines a methodology to make the most accurate estimations of monthly mean daily solar irradiation on horizontal surface and its diffuse and beam components. For the global and diffuse estimations, new methodologies in linear and quadratic forms are developed, compared, and discussed. The comparison is applied by using mean bias error and root mean square error statistical comparison methods. The measured data values used for modeling and comparisons are provided from the State Meteorological Service of Turkey responsible authority for solar irradiation measurements. The results revealed that the methodologies explained in this study give very high accurate values of total solar irradiation on a horizontal surface and its diffuse component.     

Optimization of thermal performance of the parabolic trough solar collector systems based on GA-BP neural network model

The aim of this paper is to optimize the thermal performance (system output energy, thermal efficiency, and heat loss of cavity absorber) of parabolic trough solar collector (PTC) systems in order to improve its thermal performance, based on the genetic algorithm-back propagation (GA-BP) neural network model. There are a number of undefined problems, fuzzy or incomplete information and a complex thermal performance of the PTC systems. Therefore, the thermal performance prediction of the PTC systems based on GA-BP neural network model was developed. Subsequently, the metrics performances have been adopted to comprehensively understand the algorithm and evaluate the prediction accuracy. Results revealed that the GA-BP neural network model can be successfully used to predict the complex nonlinear relationship between the input variables and thermal performance of the PTC systems. The cosine effect has a great influence on the thermal performance; thereby the geometrical structure of the PTC systems was optimized. It was found that the optimized geometrical structure was beneficial to improve the thermal performance of the PTC system. In conclusion, the GA-BP neural network model has higher prediction accuracy than the other algorithm and it can be feasible and reliable.     

冬季混凝土桥梁施工监控中温度参数的识别

混凝土桥梁温度场设计参数是影响桥梁施工误差的主要因素之一,施工过程中对其进行有效的识别直接关系到混凝土桥梁的结构安全。目前我国尚缺少各季节、各地区的混凝土桥梁温度场监测资料。为了分析冬季施工过程中混凝土桥梁的温度场分布,对榆林地区某斜拉桥进行了箱梁室内外温度和温度效应监测,根据热传导理论,建立了数值模型,采用瞬态热分析方法,得出了该地区冬季理论温度场。通过与箱梁相应温度测量值的比较,基于MATLAB平台,对82组数据进行了指数拟合,得出了适用于榆林地区冬季混凝土桥梁的温度场分布图。     

Analysis of a solar photovoltaic-assisted absorption refrigeration system for domestic air conditioning

Theoretical model of a solar photovoltaic integrated water-Lithium bromide absorption system is presented for domestic air conditioning. Surplus electrical energy from photovoltaic modules is used for charging the battery, which is utilized during the periods of zero or insufficient solar radiation. Minimum solar area required for each month is calculated and October is identified as the month requiring the highest area of photovoltaic arrays for a constant cooling load of 3.5 kW. The integrated system is found to be capable of sufficient amount of surplus electrical energy generation during both summer and winter months, with a daily excess of about 815 Ah of electrical energy on average over a complete calendar year. Designed system is found to be economically viable, having an energy payback period of 2.7 years.