Algorithm developed for dynamic quantification of coal consumption for and emission from rural winter heating

The Science of the Total Environment
Yuzhe ZhangShuyuan Li

Abstract

Coal-dominated winter heating practices in China are largely accepted to be a leading cause of winter haze in the region though the amount of coal for heating is actually much lower than for power generation or industrial process. However, little is known about how the total rural coal weight in a region could be attributed to real time (e.g., daily) patterns, limiting the understanding of dynamic impacts of coal emissions and the adoption of timely measures against predicted haze. Considering that winter heating essentially protects against cold temperatures, coal burning strength may be related to the temperatures that people experience. A field study was organized to test the validity of this hypothesis. A system was designed to continuously monitor every instance of coal addition, and coal consumption on any given day for a whole village (WDAY) was calculated by summating all the additions. Meanwhile, a new term, composite temperature (TCOM), which incorporates a few weather-related elements, was introduced to represent cold temperatures that individuals experience. It was found that WDAY and TCOM presented opposite variations, and a negative linear correlation was observed (WDAY = -0.75TCOM + 11.86, R2 = 0.75), revealing t...Continue Reading

References

Jun 5, 2008·Environmental Science & Technology·Guorui ZhiJiamo Fu
Oct 27, 2015·Environmental Science & Technology·Muye RuCanfei He
Jun 30, 2016·Proceedings of the National Academy of Sciences of the United States of America·Jun LiuTong Zhu
Dec 5, 2018·Environmental Science & Technology·Xi ZhuShu Tao

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