HYDRAULIC ENGINEERING |
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Local climate impact of central heating in the winter based on the WRF-LUCY model |
HUANG Bei, NI Guangheng |
State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing 100084, China |
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Abstract Rapid urbanization affects land and atmospheric processes through changes in the underlying surface conditions. At the same time, high-density, high-intensity human activities in urban areas result in large amounts of anthropogenic heat (AH) emissions which impact the local urban climate. Thus, research on the impact of anthropogenic heat on the local urban climate is important for exploring urban land-atmosphere interactions. This study couples weather research and forecasting model (WRF) with the heating results calculated by the large scale urban consumption of energy (LUCY) model. This study analyzes how the high spatial and temporal resolution of the anthropogenic heat emission model used in the WRF model affects the simulation results. The Beijing winter central heating system is used as an example to study the impact of a large anthropogenic heat release on the local climate. The results show that the WRF-LUCY model gives reasonable predictions of the meteorological elements and the urban-rural circulation, that the anthropogenic heat released by the heating causes the air temperature to rapidly increase, and that the temperature rise is greater at night than during the day. This study provides a reliable tool for urban local climate simulations and a scientific basis for urban energy planning and environmental improvement.
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Keywords
urban local climate
winter central heating
anthropogenic heat
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Issue Date: 15 January 2020
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[1] GRIMMOND S. Urbanization and global environmental change:Local effects of urban warming[J]. The Geographical Journal, 2007, 173(1):83-88. [2] ANDERSON G B, BELL M L. Heat waves in the United States:Mortality risk during heat waves and effect modification by heat wave characteristics in 43 U.S. communities[J]. Environmental Health Perspectives, 2011, 119(2):210-218. [3] STAFOGGIA M, SCHWARTZ J, FORASTIERE F, et al. Does temperature modify the association between air pollution and mortality? A multicity case-crossover analysis in Italy[J]. American Journal of Epidemiology, 2008, 167(12):1476-1485. [4] UNDP (United Nations Development Programme). Human development report 2011[R/OL].[2019-04-05]. http://hdr.undp.org/en/content/human-development-report-2011. [5] 刘大龙, 贾晓伟, 杨竞立, 等. 城市辐射场模拟性能对比分析[J]. 清华大学学报(自然科学版), 2019, 59(3):243-248. LIU D L, JIA X W, YANG J L, et al. Analyses of urban radiative field simulations[J]. Journal of Tsinghua University (Science and Technology), 2019, 59(3):243-248. (in Chinese) [6] NIE W S, ZAITCHIK B F, NI G H, et al. Impacts of anthropogenic heat on summertime rainfall in Beijing[J]. Journal of Hydrometeorology, 2017, 18(3):693-712. [7] ZHANG Y Z, MIAO S G, DAI Y J, et al. Numerical simulation of urban land surface effects on summer convective rainfall under different UHI intensity in Beijing[J]. Journal of Geophysical Research:Atmospheres, 2017, 122(15):7851-7868. [8] 任智勇. 人为热对城市边界层结构影响研究[C]//第27届中国气象学会年会论文集. 北京:中国气象学会, 2012:1-10. REN Z Y. The impact of anthropogenic heat on urban boundary layer[C]//Proceedings of the 27th Chinese Meteorological Society. Beijing:Chinese Meteorological Society, 2012:1-10. (in Chinese) [9] FAN H L, SAILOR D J. Modeling the impacts of anthropogenic heating on the urban climate of Philadelphia:A comparison of implementations in two PBL schemes[J]. Atmospheric Environment, 2005, 39(1):73-84. [10] 聂琬舒. 城市人为热时空分布特征及区域水文气象影响研究[D]. 北京:清华大学, 2015. NIE W S. Spatiotemporal characteristics of anthoropogenic heat in an urban environment and impacts on hydrometeorology[D]. Beijing:Tsinghua University, 2015. (in Chinese) [11] 焦婷婷. 严寒和寒冷地区居住建筑采暖期的确定及供暖基准温度研究[J]. 建筑与文化, 2019(2):81-82. JIAO T T. Determination of heating period and study of the heating base temperature of residential buildings in severe cold and cold regions[J]. Architecture & Culture, 2019(2):81-82. (in Chinese) [12] 刘念雄, 莫丹, 王牧洲, 等. 城市家庭居住碳排放的社会-技术分析方法与应用[J]. 清华大学学报(自然科学版), 2015, 55(9):933-939. LIU N X, MO D, WANG M Z, et al. Social technical analysis of urban household residential carbon emissions in China[J]. Journal of Tsinghua University (Science and Technology), 2015, 55(9):933-939. (in Chinese) [13] 李炬, 窦军霞. 北京城市气象观测试验进展[J]. 气象科技进展, 2014, 4(1):36-45. LI J, DOU J X. Progress in urban meteorological experiments in Beijing[J]. Advances in Meteorological Science and Technology, 2014, 4(1):36-45. (in Chinese) [14] 赵娜, 刘树华, 虞海燕. 近48年城市化发展对北京区域气候的影响分析[J]. 大气科学, 2011, 35(2):373-385. ZHAO N, LIU S H, YU H Y. Urbanization effects on local climate in Beijing in recent 48 years[J]. Chinese Journal of Atmospheric Sciences, 2011, 35(2):373-385. (in Chinese) [15] 吴凯, 杨修群. 中国东部城市化与地面非均匀增暖[J]. 科学通报, 2013, 58(8):642-652. WU K, YANG X Q. Urbanization and heterogeneous surface warming in eastern China[J]. Chinese Science Bulletin, 2013, 58(12):1363-1373. DOI:10.1007/s11434-012-5627-8. [16] ALLEN L, LINDBERG F, GRIMMOND C S B. Global to city scale urban anthropogenic heat flux:Model and variability[J]. International Journal of Climatology, 2011, 31(13):1990-2005. [17] SKAMAROCK W C, KLEMP J B. A time-split nonhydrostatic atmospheric model for weather research and forecasting applications[J]. Journal of Computational Physics, 2008, 227(7):3465-3485. [18] KUSAKA H, KIMURA F. Coupling a single-layer urban canopy model with a simple atmospheric model:Impact on urban heat island simulation for an idealized case[J]. Journal of the Meteorological Society of Japan:Ser. II, 2004, 82(1):67-80. [19] 严中伟, 裴琳, 周天军, 等. 2017年冬季北京霾日极少的大尺度气候和环流背景:兼论"霾气候"预测研究[J]. 气象学报, 2018, 76(5):816-823. YAN Z W, PEI L, ZHOU T J, et al. Unusually clear sky in Beijing during winter 2017 and the underlying large-scale climatic anomalies:With implication for "haze-climate" study[J]. Acta Meteorologica Sinica, 2018, 76(5):816-823. (in Chinese) [20] 北京市统计局, 国家统计局北京调查总队. 北京统计年鉴2016[EB/OL].[2019-04-05] http://tjj.beijing.gov.cn/nj/main/2016-tjnj/zk/indexch.htm. Beijing Statistical Bureau, National Bureau of Statistics Beijing Investigation Team. Beijing statistical yearbook 2016[EB/OL].[2019-04-05] http://tjj.beijing.gov.cn/nj/main/2016-tjnj/zk/indexch.htm.(in Chinese) [21] STENSRUD D J. Parameterization schemes:Keys to understanding numerical weather prediction models[M]. Cambridge, UK:Cambridge University Press, 2009. [22] CHEN F, YANG X C, ZHU W P. WRF simulations of urban heat island under hot-weather synoptic conditions:The case study of Hangzhou City, China[J]. Atmospheric Research, 2014, 138:364-377. [23] HU X M, NIELSEN-GAMMON J W, ZHANG F Q. Evaluation of three planetary boundary layer schemes in the WRF model[J]. Journal of Applied Meteorology and Climatology, 2010, 49(9):1831-1844. [24] WEEDON G P, GOMES S, VITERBO P, et al. Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century[J]. Journal of Hydrometeorology, 2011, 12(5):823-848. |
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