The Carbon Footprint Accounting and Assessment of Urban Green Space —Taking Guangzhou as an Example

doi:10.13466/j.cnki.lyzygl.2017.02.012

Abstract

Abstract:

Since the urban green space can accumulate organic carbon by photo synthetic,but green space itself will also produce carbon emissions.This increases the difficulty of quantifying urban green space as carbon sinks.With Guangzhou City as an example in this research,the characteristics of urban green spaces and their impact system were revealed,the assessment method for the carbon footprint in the urban green spaces was established,and the contribution of planning and management measures to aggregate carbon reception and emission in urban green spaces was determined.The research results indicated that the carbon reserve in the vegetation and soil in the 7 research zones including green spaces on the roads and in the parks were -0.66~11.22kg C/m ² and 1.65~8.35kgC/m ² respectively,and the carbon emission in the phase of construction,management and maintenance were 0.63~1.78kgC/m ² and 0.01~0.71kgC/(m ²·a)respectively.The total footprint in 7 research zones was -0.263~1.99 kgC/m ².The characteristics of carbon sinks in the parks and the characteristics of carbon emissions on the roads were mostly different.The carbon sinks or emissions of urban green spaces will change with the increase of age.Based on the results,the influence of planning design for green spaces on carbon reception and emission is analyzed and the scientific and low-carbon managerial and regulatory measures for green spaces are put forward.

Key words: urban green space, carbon storage, carbon emissions, carbon footprint, low carbon design, management and planning

CLC Number:

TU985.2
X22

HUANG Liujing, ZHANG Ying, DENG Yirong, LIN Lili, LIU Xingzhao, XIAO Rongbo. The Carbon Footprint Accounting and Assessment of Urban Green Space —Taking Guangzhou as an Example[J]. FOREST RESOURCES WANAGEMENT, 2017, 0(2): 65-73.

Figures/Tables 11

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References 26

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研究区	区域特征	绿地类型	总面积/hm²	建设年	群落结构	交通影响	人为干扰类型
广州大道(G)	道路中央绿化隔离带	道路绿地	2.15	1999	乔-灌-草	主要交通干道	汽车尾气、油污,垃圾、践踏、人为养护
新港中路(X)	道路中央绿化隔离带	道路绿地	0.18	2009	灌木	主要交通干道新港路的中段	汽车尾气、践踏、人为养护
阅江东路(Y)	道路中央绿化隔离带	道路绿地	0.3	2012	乔-灌-草	次干道, 阅江路的东段	汽车尾气、践踏、人为养护管理
海印公园稀树草坪区(HX)	稀树草坪区	公园绿地	1.24	1991	乔-灌-草	紧邻滨江东路, 受交通影响较大	汽车尾气、人为养护
海印公园密植林区(HM)	密植林区	公园绿地	1.28	1991	乔-草	紧邻滨江东路, 受交通影响较大	汽车尾气、人为养护
敦丰路游园稀树草坪区(DX)	稀树草坪区	公园绿地	0.62	2010	乔-草	周围是居住区, 受交通影响较小	人为养护
敦丰路游园密植林区(DM)	密植林区	公园绿地	0.57	2010	乔-草、乔木纯林	周围是居住区, 受交通影响较小	人为养护

植物种类	径级或冠幅级别	生物量模型	引用来源
大叶榕 Ficus altissima	2<D≤5 cm	B=0.1471D^2.3499	[14]
	5<D≤20 cm	B=0.1815D^2.3222
	D>20 cm	B=0.0932D^2.5602
乔木	D<5 cm	B=0.05549D^2.8776+0.01124D^3.16237+0.01551D^2.32693	[15]
	5<D≤10 cm	B=0.11701D^2.36933+0.01621D^2.93859+0.04169D^1.90082
	10<D≤20 cm	B=0.10769D^2.34891+0.00385D^3.15093+0.00372D^2.65113
	D>20 cm	B=0.03541D^2.65146+0.00583D^2.91383+0.07709D^1.55399
灌木(H≥1m)	C<0.8 m	B=0.01968+0.46533×C×H	[16]
灌木(H≥1m)	0.8<C<1.8 m	B=0.13256+1.02514×C×H	[16]

序号	工序名称	计算边界	计算公式	公式说明
1	挖树穴	挖机油耗	CE_con=∑(Q_柴油×C_柴油)	CEcon(kg)=碳排量 Q柴油(L)=每次柴油耗量 Q汽油(L)=每次汽油耗量 Q(材料)=每次材料的消耗量 C柴油(kgCO₂/L)=柴油碳排放因子 C汽油(kgCO₂/L)=汽油碳排放因子 C材料=材料碳排放因子 D(100 km)=里程 T=每年每种管理措施的次数
2	土壤改良	土方、材料运输油耗	CE_con=∑(D×Q_柴油×C_柴油)
3	苗木运输	苗木运输油耗	CE_con=∑(D×Q_柴油×C_柴油)
4	苗木栽植	吊机油耗	CE_con=∑(Q_柴油×C_柴油)
5	灌溉	自来水生产、运输; 洒水车运输自来水	CE_mai=∑(T×Q_材料×C_材料+D×Q_柴油×C_柴油)
6	施肥	肥料生产、运输; 车辆油耗	CE_mai=∑(T×Q_材料×C_材料+D×Q_柴油×C_柴油)
7	施农药	机械施农药;农药生产、运输;车辆油耗	CE_mai=∑(T×Q_材料×C_材料+T×Q_汽油+T× C_汽油+D×Q_柴油×C_柴油)
8	修剪	机械修剪绿篱、草坪	CE_mai=∑(T×Q_汽油×C_汽油+T×Q_柴油×T_柴油)

分层	HM	G	DX	Y	DM	HX	X
乔木	11.11±1.33^a	9.38±0.51^ab	8.53±2.58^abc	5.26±1.30^bcd	5.08±1.85^cd	2.44±0.95^de	0.00±0.00^e
灌木	0.11±0.07^c	0.26±0.08^b	0.03±0.01^c	0.09±0.02^c	0.01±0.01^c	0.05±0.02^c	0.66±0.05^a
总体	11.22±1.32^a	9.65±0.49^a	8.57±2.58^ab	5.35±1.30^bc	5.09±1.85^bc	2.48±0.94^cd	0.66±0.05^d

研究区名称	绿地年龄/a	CE_con	CE_mai	CS_abo	CS_und	SOC_storage	CF
G	13	0.72	1.52	2.91	0.63	0.39	-1.69
X	3	0.68	1.00	0.57	0.12	0.09	0.90
Y	0.5	1.74	0.36	0.07	0.02	0.02	1.99
HX	21	0.59	0.84	1.13	0.24	0.63	-0.57
HM	21	0.89	0.17	2.52	0.54	0.63	-2.63
DX	2	0.95	0.09	0.32	0.07	0.06	0.59
DM	2	1.10	0.08	2.32	0.50	0.06	-1.70