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1.
上海气温变化及城市化影响初步分析 总被引：7，自引：1，他引：6
为研究在全球变化背景下上海市区气温变化规律和城市化进程对其影响,分析了上海市区气温对全球变暖的响应,对比了市区和郊区气温在不同气候背景下的变化趋势,采用与郊区台站对比法分析了上海市区气温城市化效应,研究了城市化进程与气温各分量长期变化趋势之间的关系,将高空与地面观测资料相结合,定量估算了城市化效应对平均气温的贡献,初步讨论了气温的城市化效应成因。研究结果表明：1873~2004年上海市区年平均气温的长期变化趋势为1.31 ℃/(100 a),在1921~1948年和1979~2004年两个时期增温明显,其中第二段增温强于第一段;与郊区站点相比,市区在降温期内降温最小,增温期内升温幅度最大;城市发展导致市区和郊区气温有显著差别且温差逐年加大,其中平均气温和最低气温在秋季的差别最大,最高气温市区和郊区之间差别在夏季最大;城市化进程加快了地面气温升高的速率,其中以最低气温最为明显;在1980年代城市化效应使上海市区年平均温度平均升高0.4 ℃,在1990年代平均升高1.1 ℃。 相似文献
2.
北京城市化发展对温度、相对湿度和降水的影响 总被引：23，自引：4，他引：19
利用1961～2000年北京13个台站的气候观测资料及北京统计年鉴资料,分析了过去40年北京城区、郊区的气温、相对湿度和降水等气候因子的年际、季节变化趋势,结合北京城市化进程中人口、基本设施投资额、房屋施工面积和道路面积等城市发展数据的年际变化进行分析.结果表明:在这40年中,北京城区、郊区的年平均温度都呈明显上升趋势,城区比郊区上升幅度快,热岛强度也在不断加强,其中以城区最低温度上升最为明显,并且热岛强度与北京人口等城市发展数据的年际变化有较强的相关性.城区年平均相对湿度总体呈下降趋势,郊区则略有上升;本地年均降水量呈下降趋势,城区下降幅度比郊区明显,并且波动性增强.各气候因子的季节变化趋势总体上与年平均变化趋势一致,个别季节变化趋势受城市化及季节自身因素影响,与年平均变化趋势有所差异.过去40年北京城区、郊区的气候演变趋势及与城市发展数据的关系表明,城市的快速发展和城市化进程的加快已经对北京局地气候变化产生了重要的影响. 相似文献
3.
《高原气象》2020,(2)
利用不同气候背景代表城市北京、沈阳、银川、成都、南京和广州6个城市2014-2016年臭氧质量浓度和同期气象要素数据,对典型城市臭氧(O_3)浓度变化特征及其与气象条件的关系进行研究。结果表明:2014-2016年臭氧年平均浓度由高到低的顺序为南京沈阳北京银川成都广州,3年间广州臭氧浓度呈下降趋势,沈阳变化不大,其他城市总体呈上升趋势,其中,银川增幅最大,北京增幅最小;臭氧浓度月变化特征受纬度影响较大,随纬度增高单峰结构越明显,且各月郊区臭氧普遍高于市区;各城市臭氧日最大值出现在15:00(北京时,下同)-16:00,最小值出现在07:00-08:00,但其峰值、谷值及日变幅有明显差异,广州全天郊区臭氧都显著高于市区,其他城市则不同,11:00-17:00间两者差别较小,成都、南京、银川郊区峰值浓度甚至略低于市区,其余时段郊区高于市区;6个城市影响臭氧变化最主要的气象要素均是气温和日照时数,其次是相对湿度,再次是风速,气温高、日照长、湿度低有利于臭氧生成,相对而言,对于日照时间较长的北京、银川和沈阳,臭氧对气温的变化较其他城市更敏感,且与风速呈弱的正相关,而对于气温、湿度较高的广州、南京和成都,臭氧与日照时数和相对湿度的相关性较其他3个城市强,且与风速呈弱的负相关;城区臭氧与气象要素相关性普遍较郊区好。 相似文献
4.
利用重庆17站观测资料和NCEP/NCAR再分析资料,研究了城市化进程对重庆夏季高温炎热天气的影响。结果表明:随着城市化进程的加快,城区代表站沙坪坝高温和炎热日数呈减少趋势,与邻近的郊区呈现出明显差异。进一步分析其可能原因,沙坪坝日最高气温升温较郊区缓慢,相对湿度增加,均呈现较为显著的城市化效应,说明沙坪坝夏季高温和炎热日数与邻近郊区明显趋势不同的主要原因是由于城郊最高气温的变化差异。相关分析表明,随着城市化进程的加快,主城区炎热日数的变化与郊区的差异逐渐增大,也说明沙坪坝炎热日数的减少不是大尺度的区域气候变化造成的,而是城市化进程加快导致的。利用OMR方法分析了重庆都市圈观测气温与NNR气温的差异,城市化进程加快对平均气温和最低气温是增温影响,且以最低气温的影响较为明显,同时对最高气温的影响则为降温效果。 相似文献
5.
利用1976—2014年乌鲁木齐城区和郊区两个气象站的气温、降水、相对湿度和风速气象数据及1995—2014年乌鲁木齐市城市发展数据,运用线性趋势对比分析城区和郊区各气候要素的年际变化特征;采用相关分析法对城市化因子和气候要素进行了探讨。结果表明:城、郊区气温均呈明显的上升趋势,城区的年均气温高于郊区;城区降水量是郊区的3.93倍,增长速率是郊区的3.98倍;各年代城区相对湿度比郊区大,但呈下降趋势,郊区呈上升趋势;各年代郊区风速大于城区,郊区风速约为城区的2.35倍,均呈下降趋势。近20 a,乌鲁木齐城市化进程加快,对局地气候影响明显,其中对平均气温和相对湿度的影响最为显著。 相似文献
6.
城市热岛效应及对锡林浩特气候变化的影响 总被引：1，自引：1，他引：0
利用气候相似性原理和锡林郭勒盟地区气象站站址变迁造成的温度序列变化差异,分析城市热岛效应对城市气温变化的作用,以及对气候变化趋势的影响。选取锡林浩特为代表城市,采用线性趋势分析、相关分析等方法,分析、讨论了城市与郊区气温差异,城市与草原温度历史演变差异,以及城市热岛效应对气候变化的影响等,结果表明:城市热岛效应对城市增温作用明显,使锡林浩特市区年平均气温比周围郊区增高了0.57℃;城市热岛效应对锡林浩特市气候变暖趋势也有一定影响,使锡林浩特相对草原区有0.07℃/10a的增温趋势。 相似文献
7.
利用2005-2006年西安国家气象观测站二级站和泾河国家气候观象台的地面气象资料进行了对比分析，两站气象要素有一定的差异，分别反映出了明显的城市气候特点和郊区气候特点。主要表现在西安市市区气温比郊区高，一年中冬、春季温度差异较大，夏、秋季温度差异较小；西安市市区的降水量比郊区多，易产生对流性降水的秋、夏季降水量差异更为明显，冬季降水量基本没有差异；西安市市区的风速比郊区小，郊区的大风出现次数多；西安市郊区的空气相对湿度高于市区，平均高3％～7％；轻雾、大雾日数郊区多于市区。 相似文献
8.
利用1960—2009年北京地区20个气象台站的观测资料,分析了北京城区和郊区蒸发皿蒸发量的季节和年际变化趋势和特点,并探讨了城市化对北京地区局地气候的影响。结果表明:近50 a北京地区蒸发量有明显减小趋势,城区和郊区变化趋势分别为-88.1 mm/10a和-76.0 mm/10a。受城市化影响,北京城区蒸发量的变化主要与降水、日照时数、最低气温、气温日较差和平均风速的变化有关;郊区蒸发量的变化主要受相对湿度、日照时数、平均风速和空气饱和差的变化影响。总体而言,相对湿度、日照时数、最低气温、气温日较差和平均风速的变化对北京地区蒸发量的变化有显著影响。 相似文献
9.
利用1960—2009年北京地区20个气象台站的观测资料,分析
了北京城区和郊区蒸发皿蒸发量的季节和年际变化趋势和特点,并探讨了城市化对北京地区局地气候的影响。结果表明：近50 a
北京地区蒸发量有明显减小趋势,城区和郊区变化趋势分别为-881 mm/10a和-760 mm/10a。受城市化影响,北京城
区蒸发量的变化主要与降水、日照时数、最低气温、气温日较差和平均风速的变化有关;郊区蒸发量的变化主要受相对湿度、日照
时数、平均风速和空气饱和差的变化影响。总体而言,相对湿度、日照时数、最低气温、气温日较差和平均风速的变化对北京地区
蒸发量的变化有显著影响。 相似文献
10.
近48年城市化发展对北京区域气候的影响分析 总被引：13，自引：2，他引：11
利用1961～2008年北京12个台站的气候观测资料, 研究分析了北京城区和郊区气温、降水、相对湿度、风速的年际和四季变化趋势及特点, 并探讨了城市化发展对北京区域气候的影响。结果表明: 近半个世纪以来, 平均气温上升明显, 其中尤以冬季最为突出, 而夏季最弱。通过气温变化的年代比较发现气温增加有加快的趋势, 尤其是城市地区, 导致热岛效应不断加强, 特别是1990年代以后增幅更加明显。最高和最低气温在近48年来也都呈上升趋势, 且城市化发展对最低气温的变化影响最大, 其次是平均气温, 对最高气温影响最弱。而降水有减弱的趋势, 尤其是夏季的降水减弱最为明显。城区的风速和湿度都呈减小的趋势, 这与城市化的加剧, 尤其是下垫面的变化有密切的关系。 相似文献
11.
Recent temperature projections for urban areas have only been able to reflect the expected change due to greenhouse-induced warming, with little attempt to predict urbanisation effects. This research examines temperature changes due to both global warming and urbanisation independently and applies them differentially to urban and rural areas over a sub-tropical city, Hong Kong. The effect of global warming on temperature is estimated by regressing IPCC data from eight Global Climate Models against the background temperature recorded at a rural climate station. Results suggest a mean background temperature increase of 0.67 °C by 2039. To model temperature changes for different degrees of urbanization, long-term temperature records along with a measureable urbanisation parameter, plot ratio surrounding different automatic weather stations (AWS) were used. Models representing daytime and nighttime respectively were developed, and a logarithmic relationship between the rate of temperature change and plot ratio (degree of urbanisation) is observed. Baseline air temperature patterns over Hong Kong for 2009 were derived from two ASTER thermal satellite images, for summer daytime and nighttime respectively. Dynamic raster modeling was employed to project temperatures to 2039 in 10-year intervals on a per-pixel basis according to the degree of urbanization predicted. Daytime and nighttime temperatures in the highly urbanized areas are expected to rise by ca. 2 °C by 2039. Validation by projecting observed temperature trends at AWS, gave low average RMS errors of 0.19 °C for daytime and 0.14 °C for nighttime, and suggests the reliability of the method. 相似文献
12.
For a century or so, the Hong Kong Observatory (HKO) has been providing temperature forecast for the whole of Hong Kong with
the HKO Headquarters as the reference location. In recent decades, due to spreading of population from the main urban center
to satellite towns, there is an increasing demand for regional temperature forecasts. To support such provision, the HKO has
developed a regression model to provide objective guidance to forecasters in formulating forecasts of maximum and minimum
temperatures for the next day at various locations in Hong Kong. In this paper, the regression model is presented, together
with the assessment of its performance. Based on the verification of one year of forecasts, it is found that the root mean
square errors (RMSEs) of maximum (minimum) temperature forecasts are from about 1.3 to 2.1 (1.1 to 1.4) degrees, respectively.
The regression model is shown to have generally out-performed the operational regional spectral model then operated by HKO.
Regional temperature forecast methods of other meteorological or research centers are also surveyed. Equipped with the regression
model, the HKO has launched an online regional temperature forecast service for the next day in Hong Kong since March 2008. 相似文献
13.
This paper explores urban temperature in Hong Kong using long-term time series. In particular, the characterization of the urban temperature trend was investigated using the seasonal unit root analysis of monthly mean air temperature data over the period January 1970 to December 2013. The seasonal unit root test makes it possible to determine the stochastic trend of monthly temperatures using an autoregressive model. The test results showed that mean air temperature has increased by0.169?C(10 yr)~(-1)over the past four decades. The model of monthly temperature obtained from the seasonal unit root analysis was able to explain 95.9% of the variance in the measured monthly data — much higher than the variance explained by the ordinary least-squares model using annual mean air temperature data and other studies alike. The model accurately predicted monthly mean air temperatures between January 2014 and December 2015 with a root-mean-square percentage error of 4.2%.The correlation between the predicted and the measured monthly mean air temperatures was 0.989. By analyzing the monthly air temperatures recorded at an urban site and a rural site, it was found that the urban heat island effect led to the urban site being on average 0.865?C warmer than the rural site over the past two decades. Besides, the results of correlation analysis showed that the increase in annual mean air temperature was significantly associated with the increase in population, gross domestic product, urban land use, and energy use, with the R~2 values ranging from 0.37 to 0.43. 相似文献
14.
Rizwan Ahmed Memon Dennis Y. C. Leung Chun-Ho Liu Michael K. H. Leung 《Theoretical and Applied Climatology》2011,103(3-4):441-450
This study investigates the urban heat island characteristics of four major areas of Hong Kong. The areas of study include a densely populated and well-developed commercial area (i.e., Tsim Sha Tsui) and three suburban areas (i.e., Cheung Chau, Lau Fau Shan and Sha Tin) with differing degrees of development. The weather station data of respective areas were acquired from the Hong Kong Observatory. The urban heat island intensity, determined as the air-temperature difference between the selected urban/suburban area and the reference rural area (i.e., Ta Kuw Ling) with thin population and lush vegetation, was used for the analysis. Results showed stronger heat island effect during winter and nighttime than during summer and daytime. An investigation of the cooling and heating degree days indicate that all areas have observed higher number of cooling degree days. However, the cooling degree days were the maximum while heating degree days were the minimum in the urban area (i.e., Tsim Sha Tsui). Clearly, the minimum heating degree days and the maximum cooling degree days in the urban area were a direct consequence of urban heat island. The 10-year (i.e., from 1995 to 2005) average shows that Cheung Chau experienced the least number of cooling degree days while Lau Fau Shan experienced the highest number of heating degree days. Seemingly, the area of Cheung Chau offers better thermal comfort conditions with the minimum number of cooling and heating degree days. 相似文献
15.
An investigation of urban heat island intensity (UHII) as an indicator of urban heating 总被引：2，自引：0，他引：2
The objective of this paper is to evaluate the reliability of urban heat island intensity (UHII) as an indicator of urban heating. The diurnal patterns of air and surface-temperature based UHII and variations in urban and rural area heating were analyzed and discussed. The detailed air-temperature based UHII patterns were determined in one urban and four suburban areas of Hong Kong. UHII was determined as spatially-averaged air-temperature difference between an urban/suburban area and its surrounding rural area. Additionally, reported air and surface-temperature based UHII patterns were integrated in the discussion to carry out a comprehensive analysis. The urban and rural area heating variations (i.e., the diurnal variations in net radiation, sensible heat flux, latent heat flux, and heat stored by an area) were examined in the light of UHII patterns to validate UHII as an indicator for urban heating. It is noted that the air-temperature based UHIIs were higher and positive in the night-time but lower and negative during the daytime. On the other hand, most of the surface-temperature based UHIIs, investigated through satellite data were positive during both the daytime and night-time. It is revealed that UHII can well reflect urban heating during night-time and early morning. However, the lower and negative UHII during solar peak time (daytime when solar radiation is the dominant source of heating) has seemingly not been representing urban heating. 相似文献
16.
Over the years, the Hong Kong Observatory has carried out scientific studies to evaluate the observed climate trends and project the future climate in Hong Kong. Analysis of the meteorological observations at the observatory's headquarters in Tsim Sha Tsui since 1885 reveals that the temperature rise in Hong Kong during the past 124 years is in accord with the global rising trend. The accelerated rising trend in the mean temperature in last few decades may be attributed to the anthropogenic influences, especially urbanization. A similar increasing trend is also observed for rainfall. Other observations such as increasing cloud amount and decreasing total global solar radiation are all consistent with the global trend. Studies of past occurrences of extreme temperature and rainfall have also been carried out. The results indicate that cold episodes have become rarer while very hot days and heavy rain events are becoming more frequent. The observatory also makes use of the data from the Fourth Assessment Report (AR4) of the Intergovernmental Panel on Climate Change (IPCC) and employs statistical downscaling techniques to carry out projections of temperature and precipitation in the 21st century. It is found that the rise in temperature in Hong Kong will be slightly higher than the global mean in the 21st century. The annual rainfall in Hong Kong is also expected to rise by the end of the 21st century, so is its year-to-year variability. 相似文献
17.
Urban heat island diagnosis using ASTER satellite images and ‘in situ’ air temperature 总被引：1，自引：0，他引：1
This study demonstrates that thermal satellite images combined with ‘in situ’ ground data can be used to examine models of heat island genesis and thus identify the main causes of urban heat islands (UHIs). The models, although proposed over 30 years ago, have not been thoroughly evaluated due to a combination of inadequate ground data and the low resolution of thermal satellite data. Also there has been limited understanding of the relevance of satellite-derived surface temperatures to local and regional scale air temperatures. A cloud-free ASTER thermal image of urban and rural areas of Hong Kong was obtained on a winter night with a well-developed heat island, accompanied by a 148 km vehicle traverse of air temperatures. Over the whole traverse a high R2 of 0.80 was observed between surface and air temperatures, with the two datasets showing a similar amplitude and general trend, but with the surface exhibiting much higher local variability than air temperature. Gradients in both surface and air temperature could be related to differences in land cover, with little evidence of large scale advection, thus supporting the population/physical structure model of UHI causation, rather than the advection model. However, the much higher surface and air temperatures observed over the largest urban area, Kowloon, than over any smaller urban centre with similar physical structure in the New Territories, would seem more indicative of the advection model. The image and ground data suggest that Kowloon's urban canopy layer climate is mainly influenced by local city structure, but it is also modified by a strongly developed, regional scale urban boundary layer which has developed over the largest urban centre of Kowloon, and reinforces heating from both above and below. 相似文献
18.
城市边界层数值模式研究以及在香港地区复杂地形下的应用 总被引：10，自引：2，他引：8
由于城市表面复杂的下垫面的影响,使得城市边界层风温场结构较其他下垫面有很大不同.作者通过将城市中500 m网格内的各种地表类型,按照各自在网格中所占的百分比及各自的地表参数加权平均,得到此网格的平均的地表参数,以此准确反映下垫面的情况,建立分辨率为500 m的城市边界层能量平衡模式,将此城市边界层能量平衡模式嵌入动力学框架,并用中尺度模式MM5作为初始条件和边界条件,建立一个既考虑中尺度背景场又详细考虑城市下垫面复杂性与多样性的城市边界层模式系统.将模式系统运用于香港复杂地形下的边界层特点的模拟研究.通过与观测值的比较,模式能够较准确的模拟出海陆风、城市热岛等热力过程,及气流过山引起的绕流等动力过程,并且通过对边界层高度的模拟预测污染扩散的条件等.说明模式系统具有模拟在中尺度的背景场的控制下海陆风环流、过山堆积和绕流及城市热力影响的能力. 相似文献
19.
An Examination of ENSO''s Effect on the Monthly and Seasonal Climate of Hong Kong from a Statistical Perspective 
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下载免费PDF全文 This study aims to examine the effect of El Ni~no and La Ni~na on the monthly and seasonal climate
of Hong Kong against the ENSO-neutral situation from a statistical perspective. Monthly and seasonal
temperature and rainfall of Hong Kong and monthly number of tropical cyclones (TCs) coming within 500
km of the city over the 59-yr (1950-2008) period are examined under three ENSO situations, namely El Ni~no,
La Ni~na, and ENSO-neutral. It is found that, compared with the ENSO-neutral situation, El Ni~no tends
to be associated with wetter winter (December-February) and spring (March-May) while La Ni~na tends
to be associated with cooler autumn (September-November) and winter. El Ni~no tends to be associated
with a later start of the tropical cyclone season of Hong Kong while La Ni~na tends to be associated with
more TCs coming within 500 km of Hong Kong in August-October. It is also found that, for April and
June-December, although the monthly number of TCs coming within 500 km of Hong Kong during El Ni~no
is generally lower than that under the ENSO-neutral situation, the difference is not statistically significant
based on the current data sample size. 相似文献
20.
为提高地基反演大气可降水量中加权平均温度的计算精度和效率,以香港市域为例,根据2017年香港无线电探空资料,设计了一种以地面气压为基础的大气加权平均温度模型,并通过2014—2016年探空数据对该模型进行验证,分析表明该模型与探空数据得到的加权平均温度有良好的一致性,具有较高的精度。基于气压回归模型和气温回归模型对2017年7月香港地区进行地基反演大气可降水量,验证新建模型的水汽反演精度。结果表明,该模型能很好的满足地基反演大气可降水量的精度要求,相比于气温回归模型反演精度有了较好的提升。 相似文献