韩国公寓更新中的居住形式与居民政治倾向关系研究

韩国首尔江南区是富有中产阶层主要聚集区,是政府主导、公众参与的城市空间变化的典型。在韩国,房地产政策是韩国各党派政府维护执政合法性的主要手段,城市更新与公寓重建是提高房价的重要手段,并对不同社会阶层的居住和生活产生不同影响。公寓重建是韩国阶层、党派之间尖锐政治斗争的对象。首尔江南区住民基于自身阶级身份与利益组成利益共同体,参与推动或阻碍公寓重建的活动。每四年一度的国会议员选举中,江南区呈现按住房价格而选择政党的阶级投票的规律。江南区案例表明虽然政府主导了江南区的城市更新与公寓重建,但当重建侵犯到地区住民的利益时,住民社会驱动力随时出现,并以选票形式对其进行反向干预。因此韩国社会团体与政府的互动塑造了江南区特有的阶层分化与住房分布形式。     

过去60年来南极冰盖近地面气温时空变化研究

如何将十分有限的器测资料和再分析资料有机联系起来,充分借助它们各自的优势,分析南极冰盖气温时空变化具有重要意义。以CFSR（the Climate Forecast System Reanalysis）、ERA5（the European Centre for Medium-Range Weather Forecasts Fifth-generation Reanalysis）和MERRA-2（the Modern-Era Retrospective Analysis for Research and Applications,version 2）再分析资料分别作为背景场,利用南极冰盖具有超过50年连续观测的站点气温观测资料,分别重建了1960~2019年冰盖近地面月气温时空数据集,借助于未参与重建的70个站点观测资料进行了验证分析。在此基础上,利用精度最高的重建数据集探讨了冰盖过去60年来气温时空变化特征。精度验证结果表明：基于ERA5重建的月气温数据集精度最高,相关系数为0.70,均方根误差为0.49℃。1960~2019年,南极半岛和西南极冰盖呈现显著增温趋势,而且显著变暖延伸到60°~180°E的东南极内陆大部分区域。全球变暖停滞事件在南极半岛和西南极冰盖发生,且增温减缓程度更明显：1999~2019年间年和春季平均气温均呈明显降低趋势。1960~1998年,整个东南极冰盖气温没有显著变化,但是1999~2019年东南极冰盖内陆较大区域呈现了显著变暖趋势。这些结果有助于增进对不同时间尺度南极冰盖气温变化区域差异性的理解。

     

A critical evaluation of multi‐proxy dendroclimatology in northern Finland

Twentieth‐century summer (July–August) temperatures in northern Finland are reconstructed using ring widths, maximum density and stable carbon isotope ratios (δ¹³C) of Scots pine tree rings, and using combinations of these proxies. Verification is based on the coefficient of determination (r²), reduction of error (RE) and coefficient of efficiency (CE) statistics. Of the individual proxies, δ¹³C performs best, followed by maximum density. Combining δ¹³C and maximum density strengthens the climate signal but adding ring widths leads to little improvement. Blue intensity, an inexpensive alternative to X‐ray densitometry, is shown to perform similarly. Multi‐proxy reconstruction of summer temperatures from a single site produces strong correlations with gridded climate data over most of northern Fennoscandia. Since relatively few trees are required (<15) the approach could be applied to long sub‐fossil chronologies where replication may be episodically low. Copyright © 2010 John Wiley & Sons, Ltd.     

华中地区历史物候记录与1850-2008年的气温变化重建

根据历史日记中的华中地区春季植物物候、清代档案中的湖南4地降雪日数记载和区内5个树轮宽度年表,以及植物物候期、雪日观测记录等代用资料;以器测的华中整个地区的逐年气温距平为校准序列,采用逐步回归方法,结合逐一剔除法验证和方差匹配技术,重建了1850-2008年华中地区年均气温变化序列。结果表明:1自1850年以来,华中地区气温变化以年际至年代尺度波动为主要特征;但至1990年以后则迅速增暖,并超出了原有的年代际波动水平;而1920s中期至1940s中期的温暖尽管也持续了20年,但其温暖程度显著低于1990s-2000s。其间,最寒冷年代则分别出现在1860s、1890s及1950s,最寒冷的年份为1893年。2华中地区1850年以来的气温年代际波动周期为10~20年和准35年,其中1920s以前主要为12~14年,但自1940s开始则转为18~20年以及准35年。     

标度律视角的城市效能测度及中国城市多维要素效能分析

"城市标度律"(urban scaling laws)揭示了城市系统中城市人口和城市要素间普遍存在的非线性规模缩放关系,但目前大多数城市评价忽视了这种关系,常使用人均指标比较不同规模的城市,这会导致评价结果偏差.为此,考虑城市人口和城市要素间的非线性规模缩放关系构建了要素效能指数,用以修正城市规模的影响,度量城市要素实...     

高分辨率青藏高原历史月降水数据重建

青藏高原对全球气候研究具有重要意义,而降水数据对水文、气象和生态等领域的研究也至关重要,且随着研究内容和尺度的变化,对高时空分辨率的历史降水数据的需求越发迫切。本文基于TRMM 3B43降水数据,采用随机森林算法,引入归一化植被指数(AVHRR NDVI)、高程(SRTM DEM)、坡度、坡向、经度、纬度6个地理因子,建立历史降水重建模型,获得1982-1997年分辨率为0.0833°的青藏高原年降水数据,然后根据比例系数法计算出月降水数据。为提高精度,利用站点数据对月降水数据进行校正。结果表明,该方法能简单有效地获得高时空分辨率的历史降水数据,决定系数R²大部分在0.4~0.9之间,平均值为0.6767,其中夏季效果最好,冬季效果最差;均方根误差RMSE和平均绝对误差MAE均在50 mm以下,RMSE均值为22.66 mm,MAE均值为15.97 mm;偏差Bias较小,基本在0.0~0.1之间。     

延庆地震台地电阻率改造影响的分析研究

对延庆地震台地电阻率的观测系统进行改造后的变化特征进行了初步研究,介绍了电极和外线路改造技术环节,并通过改造前后观测资料的对比分析对改造后的观测系统情况进行了评价。     

农户的非农就业如何影响中国的土地流转?

To clarify the impact of non-agricultural employment on rural land circulation in China,we built logit models using the Chinese Household Income Project 2013 dataset,which includes 18,948 household samples over 15 provinces,126 cities and 234 counties of China in 2013.We use the proportion of non-agricultural income,the proportion of non-agricultural laborers and non-agricultural fixed operating assets to reflect the degree of the households’dependence on agriculture,the degree of the households’laborers committed to non-agricultural employment and the stability of non-agricultural employment,respectively.The results show that the stability of non-agricultural employment is an important reason for farmers to transfer out their land,and an increase in non-agricultural income is the fundamental reason.The proportion of non-agricultural assets has the greatest impact on the decision to transfer land,followed by the proportion of non-agricultural income.Per unit increase in the non-agricultural income ratio has a stronger effect on the transfer-out decision than it does on the transfer-in decision,which is a 0.09 increase of the probability of transfer-out the land and a 0.07 decrease of the probability of transfer-in the land.In terms of regional differences,when considering the impact of non-agricultural employment on the land transfer-out decision,the impacts of non-agricultural income and labor force are the greatest in the Central region.The impact of non-agricultural assets is the greatest in the Eastern region.For the Eastern region,the decision to transfer out land is mainly affected by non-agricultural assets and the non-agricultural labor force,and the decision to transfer in land is mainly affected by non-agricultural assets.In the Central and Western regions,the decision to transfer out land is mainly affected by non-agricultural assets,non-agricultural income and the non-agricultural labor force,in that order.The decision to transfer in land in the Central region is not significantly affected by non-agricultural employment.The decision to transfer in land in the Western region is mainly affected by non-agricultural assets,non-agricultural labor force and non-agricultural income,in that order.We note that non-agricultural assets have a prominent impact on land transfer,which shows that the stability of non-agricultural employment has an important impact on land transfer decision-making.Vocational training for rural labor forces may be an effective means to promote stable non-agricultural employment and simultaneously facilitate rural land circulation,especially in Central and Western China.     

遥感蒸散模型的时间重建方法研究

本文提出的遥感蒸散模型的时间重建方法考虑了逐日蒸散可能的变化情况, 在阻抗- 彭曼单层模型的基础 上, 将图像去云处理与时间重建结合在一起, 先使用SEBS 能量平衡余项模型获得晴好日的地表阻抗信息, 选择了 叶面积指数LAI 作为反映植被表面阻抗的参量, 通过时间序列谐波分析(HANTS)获得逐日逐像元的LAI 信息, 将晴 好日的阻抗信息扩展至待定日, 并使用因子函数表达了极端温湿条件对植被叶面阻抗的限制作用。使用中科院禹 城站2003 年作物季的大型蒸渗仪数据对模型所得逐日蒸散结果进行了验证。在作物生长季, 模型结果相对于实测 结果表现出了良好的相关性(R2≈0.7), 远优于作为对比的蒸发比不变法。受单层模型假设局限, 方法在裸地及稀疏 植被上的结果还存在着较大的误差。