The IPCC fifth assessment report (AR5) showed that the global temperature tended to increase in future. Meanwhile, the range of warming in China is higher than that of the global average temperature. It is very significant that understanding the impact of climate change on central heating in China which can provide decision-making advice to supply heating, save energy and reduce air pollution during the supplying heating period. This paper firstly defined the climate index of central heating according to National Central Heating Design Specification, then analyzed the impact of climate warming on climate index of central heating in China based on daily grid meteorological data with high space resolution. The result showed that: 1) The beginning day of central heating tended to delay during the past 55 years in China. The decadal shift of the characteristic line for beginning day from south to north changed very little. 2) The final day of central heating tended to shift to an earlier date. The characteristic line of final day moved obviously from south to north in the east of 110oE which was 200-300 km higher than that in 1960s since 2000. 3) The length of supplying heating period tended to shorten. The length decreased by 10-15 d in the Northeast and North China and that decreased by 15-20 d in Northwest China. 4) The intensity of suppling heating tended to reduce obviously. The intensity decreased by 12%, 20% and 15% for Northeast, North and Northwest China respectively. The intensity was related to winter average temperature closely. According to the variation of winter temperature from 1991 to 2015, the temperature difference (TD) between the coldest and the warmest winter could reach 6.2℃ in Northeast China which accounted for 28.9% impact on intensity of supplying heating; the TD was 3.7℃ and 3.3℃ for North and Northwest China respectively, which accounted for 26.8% and 17.6% impact on the intensity respectively. Climate warming has a significant impact on the climate index of central heating in China. The relative departments should arrange the supplying heating schedule according to weather variation, meanwhile, pay attention to the occurrence of extreme cold events under the background of climate warming to ensure the central heating operate safely.
. 气候变化对中国集中供暖气候指标的影响[J]. 地理科学,
2018, 38(10): 1724-1730.
Mingcai Li et al
. The Impact of Climate Change on the Climate Index of Heating in China[J]. SCIENTIA GEOGRAPHICA SINICA,
2018, 38(10): 1724-1730.
The accumulated negative temperature,the first heating date,the last heating date,heating duration,collective heating area and energy consumption for winter heating in Xi'an during 1986-2002 were comprehensively analyzed.The results show that under the global warming,winter in Xi'an became warmer and heating duration shone,With the development of economy,the area and energy consumption for collective heating increased continually.In the meantime,the energy consumption per unit area for winter heating decreased year by year,but it did not match the winter temperature well because the energy was not proportionally consumed according to the change of temperature.In order to conserve energy effectively,heating in winter should be timely adjusted according to actual temperature change.
[Editorial Committee of the Third China’s National Assessment Report on Climate Change. Beijing: Science Press, 2015.]
In the paper, we calculate some elements about winter heating and analyses their variety characteristics in north of China, for example, start and end date of heating period, heating degree day, heating length and its variability. build the correlation equations between mean temperature in winter and variability of heating degree day, study the impact of different temperature changes on demanding for heating. analyses that the climatic abnormality change impact on demanding for heating in whole heating area and some places in the area. build relative model about temperature change impacting on heating energy consumption, We also have a attempt to use variability of heating length in place of energy consumption in the model.