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气候舒适度是影响一个地区旅游资源开发和发展以及旅游季节游客数量的重要因素。利用长岛国家基本气象站1986—2015年的气温、降水、风速、相对湿度和日照时数等与旅游气候舒适度相关的气象观测资料,对山东省烟台市长岛县气候舒适度进行研究计算,划分出长岛适宜于旅游的季节分布;结合2011—2015年长岛县游客的月统计资料,分析研究长岛旅游气候舒适度与游客数量之间对应关系。结果表明:长岛县5—10月均较适宜旅游,其中最佳旅游时间段为6—9月,其他月份气候舒适度等级较低,基本不适合旅游。旅游游客数量与气候舒适度密切相关,综合气候舒适度指数每变化一个单位,长岛县游客数量月指数增加2.098个百分点。 相似文献
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Natural Hazards - The implementation of personal carbon trading (PCT) scheme is urgently required in the context of low-carbon development. It is a key issue and a difficult problem for government... 相似文献
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开展乡镇精细化预报是当前气象业务发展趋势,主要体现在突发气象灾害临近预警、气象风险预警等强天气的公众及决策气象服务方面,制作美观、大方的图形服务产品对提高气象服务水平有现实意义,也是基层台站亟待解决的技术问题。使用Surfer平台开展乡镇精细化预报服务产品制作,具有以下意义:①软件操作简单、功能强大,上手较快,适合在基层台站推广使用;②与当前流行的GIS软件文件格式通用性好,配合使用可实现专业性更强的服务产品制作;③支持制作出各种精细化的服务产品;④利用多种预报数据叠加,可以综合显示各类预报结果;⑤支持短临预警、风险预警产品的分级分类显示;⑥支持多种影像图叠加,便于基层业务人员积累经验,更好地了解、掌握地方性小气候,也适用于针对不同行业开展的专业气象服务产品制作。利用Surfer平台,可以实现快速丰富制作乡镇精细化预报产品,节省自行开发、维护平台的费用。 相似文献
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We analyzed the Normalized Difference Vegetation Index (NDVI) from satellite images and precipitation data from meteorological stations from 1998 to 2007 in the Dongting Lake wetland watershed to better understand the eco-hydrological effect of atmospheric precipitation and its relationship with vegetation. First, we analyzed its general spatio-temporal distribution using its mean, standard deviation and linear trend. Then, we used the Empirical Orthogonal Functions (EOF) method to decompose the NDVI and precipitation data into spatial and temporal modes. We selected four leading modes based on North and Scree test rules and analyzed the synchronous seasonal and inter-annual variability between the vegetation index and precipitation, distinguishing time-lagged correlations between EOF modes with the correlative degree analysis method. According to our detailed analyses, the vegetation index and precipitation exhibit a prominent correlation in spatial distribution and seasonal variation. At the 90% confidence level, the time lag is around 110 to 140 days, which matches well with the seasonal variation. 相似文献
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洞庭湖植被对降水的响应 总被引：2，自引：1，他引：1
We analyzed the Normalized Difference Vegetation Index (NDVI) from satellite images and precipitation data from meteorological stations from 1998 to 2007 in the Dongting Lake wetland watershed to better understand the eco-hydrological effect of atmospheric precipitation and its relationship with vegetation. First,we analyzed its general spatio-temporal distribution using its mean,standard deviation and linear trend. Then,we used the Empirical Orthogonal Functions (EOF) method to decompose the NDVI and precipitation data into spatial and temporal modes. We selected four leading modes based on North and Scree test rules and analyzed the synchronous seasonal and inter-annual variability between the vegetation index and precipitation,distinguishing time-lagged correlations between EOF modes with the correlative degree analysis method. According to our detailed analyses,the vegetation index and precipitation exhibit a prominent correlation in spatial distribution and seasonal variation. At the 90% confidence level,the time lag is around 110 to 140 days,which matches well with the seasonal variation. 相似文献
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Natural Hazards - Promotion and use of green housing is an important way to reduce building energy consumption, achieve emission reduction targets, and improve residential environments. In the... 相似文献
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China’s climate change mitigation strategies and efforts are based on accurate regional carbon emission efficiency (CEE) estimates. Decision-making units which are all data envelopment analysis (DEA)-effective cannot be ranked by using the original DEA model. While previous studies omit environmental factors when gauging resources or environmental efficiency. In this study, we combine a Ruggiero three-stage model with a super-efficiency DEA model (SE-DEA) to solve these two problems. Following this method, we consider environmental factors and thereby compare provincial CEE in China in the new production frontier. The main results obtained are as follows: (1) provincial CEE values differ significantly in the first stage and the third stage; (2) in the third stage, only Eastern China reaches the SE-DEA relatively effective level, where CEE rankings in descending order are: Eastern, Central, and Western China; (3) provinces are divided into four categories in terms of provincial CEE values and per-capita GDPs, and therefore, regional climate and development policies could be oriented due to different categories. This efficiency evaluation methodology and the results obtained in our study not only contribute to understanding this issue, but also could be of specific interest to climate change policy makers in China. 相似文献
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