Correction to CO2 Emissions Embodied in Interprovincial Electricity

Nov 1, 2017 - Correction to CO2 Emissions Embodied in Interprovincial Electricity Transmissions in China. Shen Qu, Sai Liang , and Ming Xu*. Environ. ...
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Addition/Correction Cite This: Environ. Sci. Technol. XXXX, XXX, XXX-XXX

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Correction to CO2 Emissions Embodied in Interprovincial Electricity Transmissions in China Shen Qu, Sai Liang, and Ming Xu* Environ. Sci. Technol. 2017, 51 (18), 10893−10902; DOI: 10.1021/acs.est.7b01814. The following mistakes were found in the Results section of the published article. • In Section 4.1 of the paper (last sentence of the second paragraph on page 10898), the current version says “...to 8.18 tCO2/10MWh in Ningxia where thermal power (other than nuclear power) dominates.” That number actually should be 8.10 tCO2/10MWh. • In Supporting Information, one of the columns in Table S5 was messed up when copying and pasting. The correct table

is shown below with the changed column highlighted with bold type. All of the other contents comprising figures and discussions are based on the correct data and thus remain unchanged.

Table S5. Bold Column Revised. Chinese Provincial Emission Factors of Grid Electricity (in g/kWh) in 2013, Estimated with Three Methods As Outlined in the Main Text subnational grid

province

emission emission factor emission facfactor of estimated with tor estimated electricity direct tradewith the netgeneration adjustment method work method

East China Grid

Shanghai Jiangsu Zhejiang Anhui Fujian

801.61 731.43 568.39 810.33 579.46

631.77 709.93 586.10 810.36 579.44

639.15 711.17 592.10 809.80 579.46

North China Grid

Beijing Tianjin Hebei Shanxi Shandong

553.23 861.40 931.55 878.97 795.15

731.18 871.81 922.45 880.09 798.91

782.43 879.32 923.62 879.11 800.70

Northeast Inner Mongolia China Grid Liaoning Jilin Heilongjiang

947.08 902.09 877.00 785.16

951.24 913.32 891.25 823.62

946.74 905.66 867.29 805.19

Central Jiangxi China Grid Henan Hubei Hunan Chongqing Sichuan

727.52 826.22 378.13 560.23 724.31 246.05

688.89 816.07 444.46 546.01 597.84 272.57

696.02 818.62 416.20 547.10 603.93 265.34

Northwest Shaanxi China Grid Gansu Qinghai Ningxia Xinjiang

821.03 522.86 218.93 820.92 746.78

796.80 557.94 267.29 816.34 746.77

787.48 541.17 276.98 810.45 746.76

546.30 268.43 609.01 512.65 660.50

546.09 275.38 568.97 513.40 660.14

545.77 268.44 556.19 512.47 660.32

Southern Power Grid

Guizhou Yunnan Guangdong Guangxi Hainan

© XXXX American Chemical Society

A

DOI: 10.1021/acs.est.7b05300 Environ. Sci. Technol. XXXX, XXX, XXX−XXX