城市氣象學(xué)課件：05_3城市熱島_影響

1、Ch5 Urban Heat Islands（UHIs）,三、UHIs 影響 四、UHIs 減緩措施 五、UHI的文獻(xiàn)評(píng)述,三、UHIs 影響,城市中由于在天氣條件適宜時(shí)，經(jīng)常會(huì)出現(xiàn)熱島效應(yīng)，這就直接或間接地對(duì)當(dāng)時(shí)當(dāng)?shù)赜嘘P(guān)氣候要素，居民生活和城市經(jīng)濟(jì)產(chǎn)生多種影響。有有利的一面，也有不利的一面。 空調(diào)（取暖）度日數(shù)、積雪、霜凍 健康影響 對(duì)能源消耗的影響 對(duì)風(fēng)云雨的影響（以后介紹）,1、度日數(shù),2、健康,盛夏高溫會(huì)降低工作效率。據(jù)統(tǒng)計(jì)如以氣溫15時(shí)的工效為100，則25時(shí)為92.5，35時(shí)為84.3。據(jù)武漢氣象臺(tái)統(tǒng)計(jì)當(dāng)最高氣溫大于37時(shí)，則中署病人急劇增多。 Within the United

2、States alone, an average of 1,000 people die each year due to extreme heat.,3、能源消耗,Another consequence of urban heat islands is the increased energy required for air conditioning and refrigeration in cities that are in comparatively hot climates. The Heat Island Group estimates that the heat island

3、effect costs Los Angeles about US$100 million per year in energy. Conversely, those that are in cold climates such as Moscow, Russia would have less demand for heating. However, through the implementation of heat island reduction strategies, significant annual net energy savings have been calculated

4、 for northern locations such as Chicago, Salt Lake City, and Toronto.,四、UHIs 減緩措施,減緩熱島強(qiáng)度的主要措施： 屋頂、地面的材料和顏色 綠化,10,綠化降溫效應(yīng),11,數(shù)值模式試驗(yàn)的幾種情況,12,14:00時(shí)溫度差（反照率0.12-0.25),14:00時(shí)10m高處水平面位溫差分布（） 等值線數(shù)字建筑物反照率0.12時(shí)位溫建筑物反照率0.25時(shí)位溫 建筑物反照率0.12 樹(shù)木葉面指數(shù)5.0 草地葉面指數(shù)2.0 無(wú)屋頂綠化,14:00時(shí)溫度差（屋頂綠化有-無(wú)）,14:00時(shí)10m高處水平面位溫差分布（） 等值線數(shù)字屋

5、頂綠化時(shí)位溫屋頂無(wú)綠化時(shí)位溫 建筑物反照率0.12 樹(shù)木葉面指數(shù)5.0 草地葉面指數(shù)2.0 屋頂綠化葉面指數(shù)2.0,14:00時(shí)溫度差（葉面指數(shù)10.0-5.0),14:00時(shí)10m高處水平面位溫差分布（） 等值線數(shù)字樹(shù)木葉面指數(shù)為10.0時(shí)位溫樹(shù)木葉面指數(shù)為5.0時(shí)位溫 建筑物反照率0.12 樹(shù)木葉面指數(shù)10.0 草地葉面指數(shù)2.0 無(wú)屋頂綠化,五、關(guān)于UHI的文獻(xiàn)評(píng)述,介紹一篇比較“另類(lèi)”的文章,In the modern era of urban climatology, much emphasis has been placed on observing and documenting

6、 heat island magnitudes in cities around the world. Urban climate literature consequently boasts a remarkable accumulation of observational heat island studies. Through time, however, methodologists have raised concerns about the authenticity of these studies, especially regarding the measurement, d

7、efinition and reporting of heat island magnitudes.,Abstract,This paper substantiates these concerns through a systematic review and scientific critique of heat island literature from the period 19502007. The review uses nine criteria of experimental design and communication to critically assess meth

8、odological quality in a sample of 190 heat island studies. Results of this assessment are discouraging: the mean quality score of the sample is just 50 percent, and nearly half of all urban heat island magnitudes reported in the sample are judged to be scientifically indefensible. Two areas of unive

9、rsal weakness in the literature sample are controlled measurement and openness of method:,one-half of the sample studies fail to sufficiently control the confounding effects of weather, relief or time on reported urban heat island magnitudes, and three-quarters fail to communicate basic metadata reg

10、arding instrumentation and field site characteristics. A large proportion of observational heat island literature is therefore compromised by poor scientific practice. This paper concludes with recommendations for improving method and communication in heat island studies through better scrutiny of f

11、indings and more rigorous reporting of primary research.,The following scientific criteria were developed for the purpose of assessing methodological quality in the heat island literature sample: Operational test and conceptual model are aligned; Operational definitions are explicitly stated; Instru

12、ment specifications are explicitly stated; Site metadata are appropriately detailed; Field sites are representative of the local-scale surroundings; Number of replicate observations is sufficiently large; Weather effects are passively controlled; Surface effects are passively controlled; Temperature

13、s are measured synchronously.,1. Operational test and conceptual model are aligned,The operational test of the investigation is aligned with the conceptual model of a canopy-layer UHI. The test for this model invokes air temperature measurement below roof level in urban environments, and in the turb

14、ulent surface layer of rural environments.,2. Operational definitions are explicitly stated,Operational definitions of UHI magnitude or intensity are explicitly stated in the report, or made implicit through its discussion or presentation of data. Operational definitions reveal the measurement varia

15、bles and field sites used to quantify UHI magnitude.,3. Instrument specifications are explicitly stated,Instrument specifications are explicitly stated in the report, or made implicit through discussion or presentation of data. Instrument specifications include type, mounting and measurement,4. Site

16、 metadata are appropriately detailed,Site metadata are appropriately detailed in the report. Metadata include a local- or regional-scale map, sketch or photograph of the study area, and one or more quantitative indicators of micro- or local-scale surface exposure, roughness or cover at the field sit

17、es used to quantify UHI magnitude.,5. Field sites are representative of the local-scale surroundings;,The micro-scale settings of the field sites used to quantify UHI magnitude are approximately representative, in surface materials, geometry and human activity, of the local-scale surroundings.,6. Nu

18、mber of replicate observations is sufficiently large,The number of replicate heat island observations in a report is sufficiently large to meet the stated aims of the study and to yield representative and reliable estimates of UHI magnitude.,7. Weather effects are passively controlled,The extraneous

19、 effects of weather on UHI magnitude are passively controlled. Computations of UHI magnitude use temperatures measured in relatively steady-state weather: no passing fronts, strong advection, or precipitation.,8. Surface effects are passively controlled,The extraneous effects of surface relief, elev

20、ation and water bodies on UHI magnitude are made sufficiently small through planned sampling design, or made sufficiently known through discussion and recognition of their influences on observed heat island magnitudes.,9. Temperatures are measured synchronously,Temperatures used to quantify UHI magn

21、itude are measured synchronously. Inhomogeneities resulting from non-synchronous measurement are acknowledged as such and adjusted to a common base time.,Geographic distribution of heat island observations in the literature sample. The heat island observations reported in the literature sample are d

22、istributed across 11 continental realms and 221 cities and towns,Frequency distribution of the heat island literature sample (N = 190) by scientific criterion and aggregate pass/fail ratios.,Discussion,1、The first area for generalisation is operationalisation of concepts. The literature is reasonabl

23、y successful in this regard, as most studies demonstrate good conceptual understanding of the heat island effect and establish appropriate definitions to test these concepts.,2、The second area for generalisation is controlled measurement. The literature is generally poor in this regard. Approximatel

24、y half of all heat island studies fail to sufficiently control their measurements for the confounding effects of weather, relief or time.,3、The third area for generalisation is openness of method. The literature is highly inadequate in this area, with three-quarters of the sample failing to communic

25、ate, in most basic terms, the precision of instruments used to measure UHI magnitude and the physical nature of the surfaces surrounding those instruments at the time of measurement.,Recommendations and closing remarks,1、Reduce the spatial and temporal resolution of your data. For the purpose of qua

26、ntifying UHI magnitude, fewer field sites in representative locations is preferable to more sites in unrepresentative locations. Likewise, a smaller dataset of controlled measurements is preferable to a larger dataset of uncontrolled measurements. A simple comparison of two representative sites will

27、 provide a reasonably good measure of UHI magnitude, provided that the measurements sufficiently regulate the effects of weather, relief, time and random variation.,2、Follow standardised guidelines for site reporting. Guidelines in Aguilar et al. (2003) and Oke (2004) include descriptive templates f

28、or reporting the micro-, local- and meso-scale settings of temperature measurements in urban and rural environments. The information contained in these templates is essential to any heat island paper and to proper interpretation and comparison of its reported UHI magnitudes.,3、Disclose the limits of

29、 your data. Observational data in environmental science are limited in their certainty and reliability. Like all climate observations, UHI measurements are limited by the complexities of the surfaceatmosphere system and by the technical capacity of our instruments to sample that system. Public state

30、ments claiming exact and absolute values of UHI magnitude are unjustified because the phenomenon being measured is inherently complex and difficult to access. Honest reporting of limitations and errors in observation is the best practice for sharing and advancing knowledge of UHIs. Public statements

31、 should instead claim reasonable estimates of UHI magnitude, and couch these estimates in round figures, within margins of instrumental error, and with a tone of caution.,4、Use terminology with discretion. The term “urban heat island” is used irresponsibly in the literature to describe all observed

32、city-country temperature differences regardless of the causes behind those differences. If the temperature differences in a particular city are caused primarily by weather or topographic interferences, then the perceived heat island should not be described as an urban-induced one.,5、Never accept UHI magnitudes at face value. Behind every reported estimate of UHI magnitude is an extenuating set of circumstances. These circumstances are both experimental (e.g. definiti