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基于改进支持向量机的公共建筑碳排放量估计研究
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作者 吴彬锋 黄剑 +2 位作者 杨世旺 詹子仪 汪力 《环境科学与管理》 CAS 2024年第9期21-25,46,共6页
目前,进行公共建筑碳排放量估计时,存在估计精度低和模型稳定性差的问题,对此,提出基于改进支持向量机的公共建筑碳排放量估计研究方法。首先,分析公共建筑碳排放量的影响因素,并对采集到的公共建筑碳排放数据展开预处理;然后,建立支持... 目前,进行公共建筑碳排放量估计时,存在估计精度低和模型稳定性差的问题,对此,提出基于改进支持向量机的公共建筑碳排放量估计研究方法。首先,分析公共建筑碳排放量的影响因素,并对采集到的公共建筑碳排放数据展开预处理;然后,建立支持向量机模型,并基于人工鱼群算法对支持向量机参数进行优化。最后将优化后的正则化参数和宽度参数代入支持向量机中,得到公共建筑碳排放量。实验结果表明,所提方法的PCC系数最高达到0.81,MAE最低值为0.08,MAPE最低值为19%,由此可见所提方法可精准的完成碳排放量估计,同时具有较高的稳定性。 展开更多
关键词 支持向量机 人工鱼群算法 公共建筑 参数优化 碳排放量估计
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Estimation of CO_2 Emissions of Locomotives in China(1975-2005) 被引量:1
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作者 Jicheng He Yaozeng Li 《Advances in Climate Change Research》 SCIE 2010年第1期40-45,共6页
Based on annual statistical data collected by the Chinese Railway Statistic Center, the CO2 emissions of locomotives during 1975-2005 were calculated and the emission intensity and its dynamic characteristics were ana... Based on annual statistical data collected by the Chinese Railway Statistic Center, the CO2 emissions of locomotives during 1975-2005 were calculated and the emission intensity and its dynamic characteristics were analyzed. The results show that the CO2 emissions of steam locomotives decreased while that of diesel locomotives increased with time, due to the continuous shift from steam to diesel and electric locomotives. The total CO2 emissions of steam and diesel locomo- tives in China decreased from 42.23 Mt in 1975 to 16.40 Mt in 2005. The emission intensity of CO2 from the two kinds of locomotives decreased at an average rate of 2.4 g (converted t kin)-1 per year. The percentage of the CO2 emissions of locomotives to the total CO2 emissions in the sector of transportation, storage and post in China also decreased persistently from 1980 to 2005. 展开更多
关键词 LOCOMOTIVES CO2 emission emission intensity
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A Contribution to a Better Understanding of Global Land Grabbing's Impact on Employment and Environmental Threats
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作者 Laura Castellucci Marco Arbia 《Journal of Agricultural Science and Technology(A)》 2017年第1期1-10,共10页
In the last two decades, the global interest on farmland grew at a remarkable pace. As a consequence, million hectares of land exchanged hands. The ways the transfers happened combined with their geographic concentrat... In the last two decades, the global interest on farmland grew at a remarkable pace. As a consequence, million hectares of land exchanged hands. The ways the transfers happened combined with their geographic concentration in Sub-Saharian Africa, have earned the phenomenon the name of "land grab". The agricultural sector considered a "sunset industry" when commodities prices were declining, is now attractive to financial investors. These foreign investments may be good as they may improve agricultural productivity or instead bad as they may benefit only financial investors. Some results in terms of environmental and local communities' worsening conditions have already emerged. This paper aims to investigate what drives the big size transfers of land, to empirically estimate their effects in terms of local employment and to assess the environmental effects produced by the rapid transformation in the use of vast amount of land in terms of CO2 emissions. It is also proposed to use the estimation in terms of local employment impact as a way of distinguishing between foreign direct investment and land grabbing. 展开更多
关键词 Land grabbing foreign direct investment land use change CONTRACTS land rights CO2 emissions.
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