scholarly journals Carbon Footprint Analyses and Potential Carbon Emission Reduction in China’s Major Peach Orchards

2018 ◽  
Vol 10 (8) ◽  
pp. 2908 ◽  
Author(s):  
Chaoyi Guo ◽  
Xiaozhong Wang ◽  
Yujia Li ◽  
Xinhua He ◽  
Wushuai Zhang ◽  
...  

An excess of material input in fruit orchards has brought serious environmental problems, particularly in China. However, studies on the estimation of greenhouse gas (GHG) emissions in peach orchards are limited. In this study, based on questionnaire surveys in major peach-producing regions, including the North China Plain (n = 214), as well as northwest (n = 22) and southwest (n = 33) China, the carbon footprints (CFs) of these orchards were calculated by the life cycle assessment. The potential emission reduction in each region was estimated by combining the GHG emissions and CFs with plantation areas and fruit yields. The results showed that the average GHG emissions in the North China Plain, northwest, and southwest regions were 15,668 kg CO2-eq ha−1, 10,386 kg CO2-eq ha−1, and 5580 kg CO2-eq ha−1, with corresponding CFs of 0.48 kg CO2-eq ha−1, 0.27 kg CO2-eq ha−1, and 0.20 kg CO2-eq kg−1, respectively. The main contribution source of GHG emissions in these three regions was fertilizer (77–95%), followed by electricity, pesticides, and diesel. By adopting advanced farming practices with high yield and a high partial factor productivity of fertilizer, the GHG emissions could be reduced by ~13–35%, with the highest potential reduction in the North China Plain. In conclusion, the GHG emissions and their CFs were impressively high in China’s major peach-producing regions, but these GHG emissions could be substantially decreased by optimizing nutrients and irrigation management, including the rational selection of fertilizer rates and types with water-saving irrigation systems or practices (e.g., mulching) for increasing fertilizer and water use efficiency, and maintaining a sustainable peach production in China or similar countries.

2020 ◽  
Author(s):  
Qiyuan Wang ◽  
Li Li ◽  
Jiamao Zhou ◽  
Jianhuai Ye ◽  
Wenting Dai ◽  
...  

Abstract. Accurate understanding of sources and mixing state of black carbon (BC) aerosol is essential for assessing its impacts on air quality and climatic effect. Here, a winter campaign (December 2017–January 2018) was conducted in the North China Plain (NCP) to evaluate the sources, coating composition, and radiative effect of BC under the background of emission reduction since 2013. Results show that liquid fossil fuel source (i.e., traffic emission) and solid fuel source (i.e., biomass and coal burning) contributed 69 % and 31 % to the total BC mass, respectively, using a multiwavelength optical approach combined with the source-based aerosol absorption Ångström exponent values. The air quality model indicates that local emission was the dominant contributor to BC at the measurement site on average, however, emissions in the NCP exerted a critical role for high BC episode. Six classes of BC-containing particles were identified, including (1) BC coated by organic carbon and sulphate (52 % of total BC-containing particles), (2) BC coated by Na and K (24 %), (3) BC coated by K, sulphate, and nitrate (17 %), (4) BC associated with biomass burning (6 %), (5) Pure-BC (1 %), and (6) others (1 %). Different BC sources had distinct impacts on those BC-containing particles. A radiative transfer model estimated that the amount of BC detected can produce an atmospheric forcing of +18.0 W m−2 and a heating rate of 0.5 K day−1. Results presented herein highlight that further reduction of solid fuel combustion-related BC may be a more effective way to mitigate regional warming in the NCP, although larger BC contribution was from liquid fossil fuel source.


2019 ◽  
Vol 19 (17) ◽  
pp. 11185-11197 ◽  
Author(s):  
Xin Long ◽  
Xuexi Tie ◽  
Jiamao Zhou ◽  
Wenting Dai ◽  
Xueke Li ◽  
...  

Abstract. As the world's largest developing country, China has undergone ever-increasing demand for electricity during the past few decades. In 1996, China launched the Green Light Program (GLP), which became a national energy conservation activity for saving lighting electricity as well as an effective reduction of the coal consumption for power generation. Despite the great success of the GLP, its effects on haze have not been investigated and well understood. This study focused on assessing the potential coal saving induced by the improvement of luminous efficacy, the core of the GLP, and on estimating the consequent effects on the haze in the North China Plain (NCP), where a large number of power plants are located and are often engulfed by severe haze. The estimated potential coal saving induced by the GLP can reach a massive value of 120–323 million tons, accounting for 6.7 %–18.0 % of the total coal consumption for thermal power generation in China. There was a massive potential emission reduction of air pollutants from thermal power generation in the NCP, which was estimated to be 20.0–53.8 Gg for NOx and 6.9–18.7 Gg for SO2 in December 2015. The potential emission reduction induced by the GLP plays important roles in the haze formation, because the NOx and SO2 are important precursors for the formation of particles. To assess the impact of the GLP on haze, sensitivity studies were conducted by applying a regional chemical–dynamical model (WRF-CHEM). The model results suggest that in the case of lower-limit emission reduction, the PM2.5 concentration decreased by 2–5 µg m−3 in large areas of the NCP. In the case of upper-limit emission reduction, there was much more remarkable decrease in PM2.5 concentration (4–10 µg m−3). This study is a good example to illustrate that scientific innovation can induce important benefits for environment issues such as haze.


2008 ◽  
Vol 82 (2) ◽  
pp. 187-196 ◽  
Author(s):  
Zhenling Cui ◽  
Fusuo Zhang ◽  
Yuxin Miao ◽  
Qinping Sun ◽  
Fei Li ◽  
...  

2019 ◽  
Author(s):  
Xin Long ◽  
Xuexi Tie ◽  
Jiamao Zhou ◽  
Wenting Dai ◽  
Xueke Li ◽  
...  

Abstract. As the world's largest developing country, China undergoes the ever-increasing demand for electricity during the past few decades. In 1996, China launched the Green Lights Program (GLP), which becomes a national energy conservation activity for saving lighting electricity, as well as an effective reduction of the coal consumption for power generation. Despite of the great success of the GLP, its effects on haze pollution have not been investigated and well understood. This study focused to assess the potential coal-saving induced by the GLP and to estimate the consequent improvements of the haze pollutions in the North China Plain (NCP), because severe haze pollutions often occur in the NCP and a large amount of power plants locate in this region. The estimated potential coal-saving induced by the GLP can reach a massive value of 120–323 million tons, accounting for 6.7–18.0 % of the total coal consumption for thermal power generation in China. In December 2015, there was a massive potential emission reduction of air pollutants from thermal power generation in the NCP, which was estimated to be 20.0–53.8 Gg for NOx and 6.9–18.7 Gg for SO2. The potential emission reductions induced by the GLP played important roles in the haze formation, because the NOx and SO2 are important precursors for the formation of particles. To assess the impact of the GLP on haze pollution, sensitive studies were conducted by applying a regional chemical/dynamical model (WRF-CHEM). The model results suggest that in the lower limit case of emission reduction, the PM2.5 concentration decreases by 2–5 µg m−3 in large areas of the NCP. In the upper limit case of emission reduction, there was much more remarkable decrease in PM2.5 concentration (4–10 µg m−3). This study is a good example to illustrate that scientific innovation can induce important benefits on environment issues, such as haze pollution.


2018 ◽  
Vol 24 (3) ◽  
pp. 371-385 ◽  
Author(s):  
Xiaolin Yang ◽  
Beibei Sun ◽  
Wangsheng Gao ◽  
Yuanquan Chen ◽  
Peng Sui

2018 ◽  
Vol 17 (5) ◽  
pp. 1181-1193 ◽  
Author(s):  
Li-li ZHOU ◽  
Shu-hua LIAO ◽  
Zhi-min WANG ◽  
Pu WANG ◽  
Ying-hua ZHANG ◽  
...  

2014 ◽  
Vol 34 (14) ◽  
Author(s):  
李银坤 LI Yinkun ◽  
陈敏鹏 CHEN Minpeng ◽  
梅旭荣 MEI Xurong ◽  
夏 旭 XIA Xu ◽  
郭文忠 GUO Wenzhong ◽  
...  

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