典型岩溶小流域碳酸盐岩风化过程及其碳汇效应

doi:10.13745/j.esf.sf.2024.2.13

地学前缘 ›› 2024, Vol. 31 ›› Issue (5): 449-459.DOI: 10.13745/j.esf.sf.2024.2.13

• “综合生态系统碳循环与碳中和”专栏 • 上一篇

典型岩溶小流域碳酸盐岩风化过程及其碳汇效应

陈发家¹^,²(), 肖琼²^,³^,^*, 胡祥云¹, 郭永丽², 孙平安², 张宁²

1.中国地质大学(武汉) 地球物理与空间信息学院, 湖北武汉 430074
2.中国地质科学院岩溶地质研究所自然资源部、广西岩溶动力学重点实验室/联合国教科文组织国际岩溶研究中心, 广西桂林 541004
3.广西平果喀斯特生态系统国家野外科学观测研究站, 广西平果 531406

收稿日期:2023-04-24 修回日期:2023-06-15 出版日期:2024-09-25 发布日期:2024-10-11
通信作者: * 肖琼(1984—),女,博士,研究员,主要研究方向为岩溶碳循环与岩溶碳汇。E-mail: xiaoqiong-8423@163.com
作者简介:陈发家(1998—),男,硕士研究生,主要研究方向为岩溶碳汇。E-mail: fajiachen@cug.edu.cn
基金资助:
广西自然科学基金项目(2022GXNSFAA035604);广西自然科学基金项目(2022GXNSFAA035572);广西自然科学基金项目(2021GXNSFBA075013);中国地质调查项目(DD20230547);国家外专局项目(DL2023055001L);中国地质科学院岩溶地质研究所基本科研业务费项目(2023019);中国地质科学院岩溶地质研究所基本科研业务费项目(2021001);国家重点研发计划项目(2020YFE0204700)

Weathering process and carbon sink effect of carbonates in typical karst small basin

CHEN Fajia¹^,²(), XIAO Qiong²^,³^,^*, HU Xiangyun¹, GUO Yongli², SUN Ping’an², ZHANG Ning²

1. School of Geophysics and Geomatics, China University of Geosciences (Wuhan), Wuhan 430074, China
2. MNR & Guangxi Key Laboratory of Karst Dynamics, Institute of Karst Geology, Chinese Academy of Geological Sciences/International Research Center on Karst Under the Auspices of UNESCO, Guilin 541004, China
3. Pingguo, Guangxi Karst Ecosystem, National Observation and Research Station, Pingguo 531406, China

Received:2023-04-24 Revised:2023-06-15 Online:2024-09-25 Published:2024-10-11

摘要/Abstract

摘要：

碳酸盐岩风化过程是一个吸收大气CO₂的过程,具有碳汇效应。利用岩溶区水体的水文地球化学特征揭示碳酸盐岩风化过程、计算流域岩溶碳汇通量是全球变化研究的一个重要方面。以广西柳州官村地下河流域(GGW)为例,2021年4个季度的监测结果表明:(1)$\mathrm{HCO}_{3}^{-}$和Ca²⁺是主要的阴阳离子,阴阳离子当量浓度和TDS浓度反映了碳酸盐岩强烈的风化作用;(2)水化学时空分布特征显示,GGW的水化学类型为HCO₃-Ca型,水岩作用过程除了H₂CO₃风化碳酸盐岩外,还有H₂SO₄和HNO₃风化碳酸盐岩;(3)在研究H₂CO₃、H₂SO₄和HNO₃共同参与的水岩作用过程中,用δ¹³C_DIC计算H₂CO₃风化碳酸盐岩的CO₂消耗量为2.38 mmol·L^-1,CO₂净消耗量用[$\mathrm{HCO}_{3}^{-}$]_mol-[Ca²⁺+Mg²⁺]_mol表示,平均净消耗量为1.98 mmol·L^-1,用CO₂净消耗量计算出的GGW无机碳汇强度(以CO₂计)C_m为86.37 t·km^-2·a^-1;(4)不考虑外源酸作用,利用水化学径流法计算出的GGW无机碳汇强度(以CO₂计)C_m为94.49 t·km^-2·a^-1,CO₂净消耗量是水化学径流法计算的CO₂汇量的91.41%;(5)碳汇强度为2008年的1.91倍,研究结果可为人工干预增加岩溶碳汇潜力评估提供一定的参考和借鉴。

关键词: 碳酸盐岩风化, 官村地下河流域(GGW), 外源酸, CO₂净消耗量, 无机碳汇强度

Abstract:

Carbonate weathering is a process of absorbing CO₂ from the atmosphere, exhibiting a carbon sink effect. Utilizing the hydrogeochemical characteristics of water in karst areas to reveal the weathering process of carbonate rocks and calculate karst carbon sink fluxes in basins is an important aspect of global change research. A case study of the Guancun Groundwater (GGW) in Liuzhou, Guangxi, with monitoring results from four seasons in 2021, showed that: (1) The main anion in the basin is $\mathrm{HCO}_{3}^{-}$, and the main cation is Ca²⁺. The equivalent concentrations and TDS of anions and cations reflect the intense weathering of carbonate rocks. (2) Based on the spatiotemporal distribution characteristics of its hydrochemistry, the GGW belongs to the HCO₃-Ca type. Besides the weathering of carbonate rocks by H₂CO₃, the weathering by H₂SO₄ and HNO₃ also occurs in water-rock interactions. (3) Considering the combined water-rock interaction process involving H₂CO₃, H₂SO₄ and HNO₃, the average CO₂ consumption by H₂CO₃ weathering of carbonate rocks is calculated using δ¹³C_DIC as 2.38 mmol/L. The net CO₂ consumption is expressed as [$\mathrm{HCO}_{3}^{-}$]_mol-[Ca²⁺+Mg²⁺]_mol, with an average net CO₂ consumption of 1.98 mmol/L. The inorganic carbon sink intensity (C_m) of the GGW is 86.37 tCO₂·km^-2·a^-1. (4) However, the inorganic carbon sink intensity (C_m) of this groundwater, calculated using the hydrochemical-runoff method, is 94.49 tCO₂·km^-2·a^-1. The net CO₂ consumption is 91.41% of the CO₂ sink calculated by the hydrochemical-runoff method. (5) The carbon sink intensity in 2021 was 1.91 times that of 2008, providing a reference for assessing the potential to increase the karst carbon sink through artificial intervention.

Key words: carbonate rocks weathering, Guancun Groundwater (GGW), exogenous acid, net CO₂ consumption, inorganic carbon sink intensity

中图分类号:

陈发家, 肖琼, 胡祥云, 郭永丽, 孙平安, 张宁. 典型岩溶小流域碳酸盐岩风化过程及其碳汇效应[J]. 地学前缘, 2024, 31(5): 449-459.

CHEN Fajia, XIAO Qiong, HU Xiangyun, GUO Yongli, SUN Ping’an, ZHANG Ning. Weathering process and carbon sink effect of carbonates in typical karst small basin[J]. Earth Science Frontiers, 2024, 31(5): 449-459.

图/表 10

图1 研究区地质图和采样点分布示意图(据文献[41]修改)

Fig.1 Geological map of study area and locations of the sampling sites. Modified after [41].

表1 GGW的水化学特征

Table 1 Hydrochemical characteristics of the GGW

采样时间	样点名称	T/℃	pH	Ec/ (μS·cm^-1)	离子浓度/(mg·L^-1)								δ¹³C_DIC/ ‰
采样时间	样点名称	T/℃	pH	Ec/ (μS·cm^-1)	Ca²⁺	Mg²⁺	K⁺	Na⁺	$HCO 3 -$	Cl^-	$NO 3 -$	$SO 4 2 -$	δ¹³C_DIC/ ‰
2021-04	GC1	18.69	7.01	460.9	88.53	14.17	0.17	0.59	319.50	0.83	2.23	8.26	-16.13
	GC2	16.95	6.88	534.4	89.13	23.70	0.05	0.57	373.50	0.96	0.12	10.70	-16.91
	GC3	20.03	6.89	494.9	98.06	8.95	0.88	2.09	306.00	3.96	19.32	13.59	-13.15
	GC4	19.83	7.06	429.2	83.06	10.95	0.88	1.53	283.50	2.06	9.90	9.96	-13.74
	GC5	20.03	7.07	431.4	83.20	10.96	0.86	1.44	281.25	2.04	9.88	9.78	-13.81
	GC6	19.92	6.93	531.8	84.19	27.14	0.08	0.77	363.38	1.86	12.01	10.52	-16.33
	GC7	—	—	—	—	—	—	—	—	—	—	—	—
	GC8	20.36	7.22	434.1	83.24	11.90	0.83	1.26	288.00	2.29	9.61	10.00	-13.26
2021-06	GC1	19.23	7.16	415.8	74.82	11.07	0.48	0.51	270.58	1.01	<0.05	13.43	-15.90
	GC2	22.63	7.03	546.7	86.05	21.6	0.21	0.70	353.84	1.58	7.66	13.86	-16.67
	GC3	20.13	6.79	519.6	92.48	11.01	0.55	1.71	295.56	6.34	21.91	15.60	-13.28
	GC4	19.96	6.86	439.6	78.36	10.32	0.56	1.09	266.42	5.04	12.4	14.68	-14.15
	GC5	20.08	7.09	438.4	78.68	10.10	0.52	1.05	278.91	5.00	<0.05	14.57	-14.27
	GC6	21.38	6.80	576.2	82.29	27.33	0.07	0.82	362.16	1.60	12.13	13.63	-16.57
	GC7	20.84	6.82	488.7	85.26	12.48	0.27	0.85	289.32	5.63	17.77	14.08	-14.90
	GC8	21.01	7.00	437.0	76.62	9.42	0.44	0.94	253.93	5.20	11.67	14.53	-13.75
2021-09	GC1	19.41	7.00	408.2	69.32	13.02	1.10	1.13	255.38	1.21	<0.05	14.32	-14.48
	GC2	23.31	6.47	605.1	98.09	23.51	0.04	0.82	400.02	0.99	6.30	13.41	-17.05
	GC3	20.38	6.59	531.1	95.85	11.22	0.68	2.20	306.23	6.43	20.94	17.44	-13.01
	GC4	20.20	6.68	456.2	82.13	10.28	0.67	1.48	271.20	5.08	9.28	16.16	-14.01
	GC5	20.05	6.80	456.2	77.90	8.82	0.93	1.24	248.60	5.16	12.22	16.38	-14.20
	GC6	—	—	—	—	—	—	—	—	—	—	—	—
	GC7	—	—	—	—	—	—	—	—	—	—	—	—
	GC8	21.82	6.89	463.1	83.42	10.05	0.55	1.07	271.20	5.36	13.82	15.14	-13.50
2021-12	GC1	18.98	7.05	376.0	73.24	8.82	0.14	0.60	258.69	2.62	5.08	8.74	-15.92
	GC2	18.15	6.92	511.1	88.89	20.36	0.09	0.21	367.82	1.16	1.06	8.23	-16.77
	GC3	19.95	6.99	451.8	93.08	10.69	0.46	1.43	307.19	4.47	20.17	14.86	-13.23
	GC4	19.26	7.09	409.7	79.69	8.71	0.65	1.09	262.73	3.39	14.77	13.14	-13.92
	GC5	19.41	7.12	409.6	80.04	8.62	0.64	1.22	260.71	3.46	13.91	12.76	-14.08
	GC6	20.69	6.94	562.8	88.11	28.46	0.12	0.78	383.99	2.85	17.70	9.48	-16.42
	GC7	20.43	7.05	465.9	89.58	10.75	0.21	0.57	297.09	4.23	22.28	9.07	-14.74
	GC8	20.11	7.30	411.7	80.15	8.98	0.52	1.15	265.76	3.29	12.88	12.12	-13.45

表1 GGW的水化学特征

Table 1 Hydrochemical characteristics of the GGW

采样时间	样点名称	T/℃	pH	Ec/ (μS·cm^-1)	离子浓度/(mg·L^-1)								δ¹³C_DIC/ ‰
采样时间	样点名称	T/℃	pH	Ec/ (μS·cm^-1)	Ca²⁺	Mg²⁺	K⁺	Na⁺	$HCO 3 -$	Cl^-	$NO 3 -$	$SO 4 2 -$	δ¹³C_DIC/ ‰
2021-04	GC1	18.69	7.01	460.9	88.53	14.17	0.17	0.59	319.50	0.83	2.23	8.26	-16.13
	GC2	16.95	6.88	534.4	89.13	23.70	0.05	0.57	373.50	0.96	0.12	10.70	-16.91
	GC3	20.03	6.89	494.9	98.06	8.95	0.88	2.09	306.00	3.96	19.32	13.59	-13.15
	GC4	19.83	7.06	429.2	83.06	10.95	0.88	1.53	283.50	2.06	9.90	9.96	-13.74
	GC5	20.03	7.07	431.4	83.20	10.96	0.86	1.44	281.25	2.04	9.88	9.78	-13.81
	GC6	19.92	6.93	531.8	84.19	27.14	0.08	0.77	363.38	1.86	12.01	10.52	-16.33
	GC7	—	—	—	—	—	—	—	—	—	—	—	—
	GC8	20.36	7.22	434.1	83.24	11.90	0.83	1.26	288.00	2.29	9.61	10.00	-13.26
2021-06	GC1	19.23	7.16	415.8	74.82	11.07	0.48	0.51	270.58	1.01	<0.05	13.43	-15.90
	GC2	22.63	7.03	546.7	86.05	21.6	0.21	0.70	353.84	1.58	7.66	13.86	-16.67
	GC3	20.13	6.79	519.6	92.48	11.01	0.55	1.71	295.56	6.34	21.91	15.60	-13.28
	GC4	19.96	6.86	439.6	78.36	10.32	0.56	1.09	266.42	5.04	12.4	14.68	-14.15
	GC5	20.08	7.09	438.4	78.68	10.10	0.52	1.05	278.91	5.00	<0.05	14.57	-14.27
	GC6	21.38	6.80	576.2	82.29	27.33	0.07	0.82	362.16	1.60	12.13	13.63	-16.57
	GC7	20.84	6.82	488.7	85.26	12.48	0.27	0.85	289.32	5.63	17.77	14.08	-14.90
	GC8	21.01	7.00	437.0	76.62	9.42	0.44	0.94	253.93	5.20	11.67	14.53	-13.75
2021-09	GC1	19.41	7.00	408.2	69.32	13.02	1.10	1.13	255.38	1.21	<0.05	14.32	-14.48
	GC2	23.31	6.47	605.1	98.09	23.51	0.04	0.82	400.02	0.99	6.30	13.41	-17.05
	GC3	20.38	6.59	531.1	95.85	11.22	0.68	2.20	306.23	6.43	20.94	17.44	-13.01
	GC4	20.20	6.68	456.2	82.13	10.28	0.67	1.48	271.20	5.08	9.28	16.16	-14.01
	GC5	20.05	6.80	456.2	77.90	8.82	0.93	1.24	248.60	5.16	12.22	16.38	-14.20
	GC6	—	—	—	—	—	—	—	—	—	—	—	—
	GC7	—	—	—	—	—	—	—	—	—	—	—	—
	GC8	21.82	6.89	463.1	83.42	10.05	0.55	1.07	271.20	5.36	13.82	15.14	-13.50
2021-12	GC1	18.98	7.05	376.0	73.24	8.82	0.14	0.60	258.69	2.62	5.08	8.74	-15.92
	GC2	18.15	6.92	511.1	88.89	20.36	0.09	0.21	367.82	1.16	1.06	8.23	-16.77
	GC3	19.95	6.99	451.8	93.08	10.69	0.46	1.43	307.19	4.47	20.17	14.86	-13.23
	GC4	19.26	7.09	409.7	79.69	8.71	0.65	1.09	262.73	3.39	14.77	13.14	-13.92
	GC5	19.41	7.12	409.6	80.04	8.62	0.64	1.22	260.71	3.46	13.91	12.76	-14.08
	GC6	20.69	6.94	562.8	88.11	28.46	0.12	0.78	383.99	2.85	17.70	9.48	-16.42
	GC7	20.43	7.05	465.9	89.58	10.75	0.21	0.57	297.09	4.23	22.28	9.07	-14.74
	GC8	20.11	7.30	411.7	80.15	8.98	0.52	1.15	265.76	3.29	12.88	12.12	-13.45

图2 GGW的Piper三线图

Fig.2 Piper diagram of the GGW

图3 GGW的Gibbs图

Fig.3 Gibbs diagram of the GGW

图4 GGW的水化学时空变化特征

Fig.4 Spatiotemporal variation hydrochemical characteristics of the GGW

图5 离子当量比值关系散点图 a—[Ca2++Mg2+]和[ HCO 3 -]的当量比值关系;b—[Ca2++Mg2+]和[ HCO 3 -+ NO 3 -+ SO 4 2 -]的当量比值关系。

Fig.5 Scatter diagrams showing the ionic equivalent relationship. (a) Equivalent rations of [Ca2++Mg2+] vs. [ HCO 3 -]. (b) Equivalent rations of [Ca2++Mg2+] vs. [ HCO 3 -+ NO 3 -+ SO 4 2 -].

图6 GGW 样品的[Ca2++Mg2+]/[ HCO 3 -]与[ SO 4 2 -]/[ HCO 3 -]当量比值关系

Fig.6 Equivalent ratios of [Ca2++Mg2+]/[ HCO 3 -] vs. [ SO 4 2 -]/[ HCO 3 -] in the GGW

表2 离子浓度估算GGW的CO2净消耗量和无机碳汇量

Table 2 Estimation of net CO2 consumption and inorganic carbon sinks of the GGW based on ion concentration

时间	$HCO 3 -$ 浓度/ (mg·L^-1)	Ca²⁺浓度/ (mg·L^-1)	Mg²⁺浓度/ (mg·L^-1)	$Q C O 2 - n e t$ / (mmol·L^-1)	Q/ (m³·s^-1)	F/ (g·s^-1)	CSF(以CO₂计)/ (t·a^-1)	C_m(以CO₂计)/ (t ·km^-2·a^-1)
春季	316.45	87.06	15.40	2.37	1.10	114.66	911.42	29.89
夏季	296.34	81.82	14.17	2.22	1.13	110.48	878.21	28.80
秋季	292.11	84.45	12.82	2.14	0.32	30.18	237.27	7.78
冬季	300.50	84.10	13.17	2.27	0.78	78.07	607.13	19.90
平均值						83.35	658.51	21.59
总量						333.40	2 634.03	86.37

表2 离子浓度估算GGW的CO2净消耗量和无机碳汇量

Table 2 Estimation of net CO2 consumption and inorganic carbon sinks of the GGW based on ion concentration

时间	$HCO 3 -$ 浓度/ (mg·L^-1)	Ca²⁺浓度/ (mg·L^-1)	Mg²⁺浓度/ (mg·L^-1)	$Q C O 2 - n e t$ / (mmol·L^-1)	Q/ (m³·s^-1)	F/ (g·s^-1)	CSF(以CO₂计)/ (t·a^-1)	C_m(以CO₂计)/ (t ·km^-2·a^-1)
春季	316.45	87.06	15.40	2.37	1.10	114.66	911.42	29.89
夏季	296.34	81.82	14.17	2.22	1.13	110.48	878.21	28.80
秋季	292.11	84.45	12.82	2.14	0.32	30.18	237.27	7.78
冬季	300.50	84.10	13.17	2.27	0.78	78.07	607.13	19.90
平均值						83.35	658.51	21.59
总量						333.40	2 634.03	86.37

表3 水化学径流法估算GGW的无机碳汇量

Table 3 Estimation of inorganic carbon sink in the GGW based on hydrochemical-runoff method

时间	[ $HCO 3 -$ ]/ (mg·L^-1)	[CO₂]/ (mg·L^-1)	Q/ (m³·s^-1)	CSF(以CO₂计)/ (t·a^-1)	C_m(以CO₂计)/ (t·km^-2·a^-1)
春季	316.45	114.13	1.10	998.71	32.74
夏季	296.34	106.88	1.13	957.62	31.40
秋季	292.11	105.35	0.32	265.93	8.72
冬季	300.50	108.38	0.78	659.68	21.63
平均值				720.49	23.62
总量				2 881.94	94.49

表3 水化学径流法估算GGW的无机碳汇量

Table 3 Estimation of inorganic carbon sink in the GGW based on hydrochemical-runoff method

时间	[ $HCO 3 -$ ]/ (mg·L^-1)	[CO₂]/ (mg·L^-1)	Q/ (m³·s^-1)	CSF(以CO₂计)/ (t·a^-1)	C_m(以CO₂计)/ (t·km^-2·a^-1)
春季	316.45	114.13	1.10	998.71	32.74
夏季	296.34	106.88	1.13	957.62	31.40
秋季	292.11	105.35	0.32	265.93	8.72
冬季	300.50	108.38	0.78	659.68	21.63
平均值				720.49	23.62
总量				2 881.94	94.49

表4 2008年和2021年数据对比

Table 4 Data comparison between 2008 and 2021

数据时间	$HCO 3 -$ 浓度/ (mg·L^-1)	年降水量/ mm	Q/ (m³·s^-1)	C_m(以CO₂计)/ (t·km^-2·a^-1)
2008年	256.37	1 913	0.45	45.25
2021年	301.35	2 222	0.83	86.37

表4 2008年和2021年数据对比

Table 4 Data comparison between 2008 and 2021

数据时间	$HCO 3 -$ 浓度/ (mg·L^-1)	年降水量/ mm	Q/ (m³·s^-1)	C_m(以CO₂计)/ (t·km^-2·a^-1)
2008年	256.37	1 913	0.45	45.25
2021年	301.35	2 222	0.83	86.37

参考文献 62

[1]	MASSON-DELMOTTE V P, ZHAI P, PIRANI S L, et al. IPCC, 2021: summary for policymakers[R]// Climate change 2021: the physical science basis. Contribution of working group Ⅰ to the sixth assessment report of the intergovernmental panel on climate change. Cambridge and New York: Cambridge University Press, 2021: 3-32.
[2]	翟盘茂, 周佰铨, 陈阳, 等. 气候变化科学方面的几个最新认知[J]. 气候变化研究进展, 2021, 17(6): 629-635.
[3]	巢清尘, 张永香, 高翔, 等. 巴黎协定: 全球气候治理的新起点[J]. 气候变化研究进展, 2016, 12(1): 61-67.
[4]	章程, 肖琼, 孙平安, 等. 岩溶碳循环及碳汇效应研究与展望[J]. 地质科技通报, 2022(5): 190-198.
[5]	袁佳双, 张永香, 陈迎, 等. 认识减缓气候变化最新进展科学助力碳中和[J]. 气候变化研究进展, 2022, 18(5): 523-530.
[6]	李忠扬. 察尔汗盐湖的水化学特征[J]. 北京地质学院学报, 1959(1): 10-15, 67.
[7]	乐嘉祥, 王德春. 中国河流水化学特征[J]. 地理学报, 1963(1): 1-13. DOI
[8]	李瑞, 肖琼. 广西里湖地下河水化学特征及其影响因素[J]. 广西科学, 2018, 25(5): 544-552.
[9]	黄锦彦, 李新, 吴丰, 等. 大别山西段罗山县水环境特征及其影响因素分析[J]. 中国地质调查, 2022, 9(6): 76-83.
[10]	马冰洁, 张全发, 李思悦. 中国跨境河流水化学特征及其控制因素[J]. 第四纪研究, 2023, 43(2): 425-438.
[11]	PENG Y M, XIAO Q, XUE H L, et al. Comparison of groundwater hydrogeochemistry of karst areas in northern and southern China with emphasis on their performance in karst development[J]. Carbonates and Evaporites, 2022, 37(4): 76.
[12]	夏星辉, 张利田, 陈静生. 岩性和气候条件对长江水系河水主要离子化学的影响[J]. 北京大学学报(自然科学版), 2000, 36(2): 246-252.
[13]	玛尔胡拜·牙生, 马龙, 吉力力·阿不都外力, 等. 新疆天山西段夏季河流水化学特征及其影响因素研究[J]. 干旱区研究, 2021, 38(3): 600-609. DOI
[14]	刘再华. 岩石风化碳汇研究的最新进展和展望[J]. 科学通报, 2012, 57(2): 95-102.
[15]	霍俊伊, 于奭, 张清华, 等. 湘西峒河流域水化学特征及无机碳通量计算[J]. 水文地质工程地质, 2019, 46(4): 64-72.
[16]	原雅琼, 何师意, 于奭, 等. 柳江流域柳州断面水化学特征及无机碳汇通量分析[J]. 环境科学, 2015, 36(7): 2437-2445.
[17]	杜文越, 王琪, 蒲俊兵, 等. 漓江流域丰水期外源酸对岩溶化学风化碳汇的影响[J]. 地球学报, 2022, 43(4): 449-460.
[18]	LIU Z H, DREYBRODT W, WANG H J. A new direction in effective accounting for the atmospheric CO₂ budget: considering the combined action of carbonate dissolution, the global water cycle and photosynthetic uptake of DIC by aquatic organisms[J]. Earth-Science Reviews, 2010, 99(3/4): 162-172.
[19]	刘再华, DREYBRODT W, 刘洹. 大气CO₂汇: 硅酸盐风化还是碳酸盐风化的贡献[J]. 第四纪研究, 2011, 31(3): 426-430.
[20]	LUDWIG W, AMIOTTE-SUCHET P, MUNHOVEN G, et al. Atmospheric CO₂ consumption by continental erosion: present-day controls and implications for the last glacial maximum[J]. Global and Planetary Change, 1998, 16: 107-120.
[21]	LIU Z, ZHAO J. Contribution of carbonate rock weathering to the atmospheric CO₂ sink[J]. Environmental Geology, 2000, 39(9): 1053-1058.
[22]	YU S, DU W Y, SUN P G, et al. Study on the hydrochemistry character and carbon sink in the middle and upper reaches of the Xijiang River Basin, China[J]. Environmental Earth Sciences, 2015, 74(2): 997-1005.
[23]	YUAN Y Q, HE S Y, YU S, et al. Hydrochemical characteristics and the dissolved inorganic carbon flux in Liuzhou section of Liujiang Basin[J]. Environmental Science, 2015, 36(7): 2437-2445.
[24]	裴建国, 章程, 张强, 等. 典型岩溶水系统碳汇通量估算[J]. 岩矿测试, 2012, 31(5): 884-888.
[25]	SPENCE J, TELMER K. The role of sulfur in chemical weathering and atmospheric CO₂ fluxes: evidence from major ions, δ¹³C_DIC, and $\delta^{34} \mathrm{~S}_{\mathrm{SO}_{4}}$ in rivers of the Canadian Cordillera[J]. Geochimica et Cosmochimica Acta, 2005, 69(23): 5441-5458.
[26]	PERRIN A S, PROBST A, PROBST J L. Impact of nitrogenous fertilizers on carbonate dissolution in small agricultural catchments: implications for weathering CO₂ uptake at regional and global scales[J]. Geochimica et Cosmochimica Acta, 2008, 72(13): 3105-3123.
[27]	ZHAO R Y, LIU Z Q, HUANG H, et al. Difference in the relationship between soil CO₂ concentration and the karst-related carbon cycle under different land use types in Southwest China[J]. Carbonates and Evaporites, 2019, 34(4): 1569-1581.
[28]	ZHAO R Y, LIU Z Q, DONG L L, et al. The fates of CO₂ generated by H₂SO₄ and/or HNO₃ during the dissolution of carbonate and their influences on the karst-related carbon cycle[J]. Journal of Hydrology, 2021, 597: 125746.
[29]	LI S L, CALMELS D, HAN G L, et al. Sulfuric acid as an agent of carbonate weathering constrained by δ ¹³C_DIC: examples from Southwest China[J]. Earth and Planetary Science Letters, 2008, 270(3/4): 189-199.
[30]	曹建华, 杨慧, 康志强. 区域碳酸盐岩溶蚀作用碳汇通量估算初探: 以珠江流域为例[J]. 科学通报, 2011, 56(26): 2181-2187.
[31]	LIU Z H, DREYBRODT W, LIU H. Atmospheric CO₂ sink: silicate weathering or carbonate weathering?[J]. Applied Geochemistry, 2011, 26: S292-S294.
[32]	LIU Z H, DREYBRODT W. Significance of the carbon sink produced by H₂O-carbonate-CO₂-aquatic phototroph interaction on land[J]. Science Bulletin, 2015, 60(2): 182-191.
[33]	IGLESIAS-RODRIGUEZ M D, HALLORAN P R, RICKABY R E M, et al. Phytoplankton calcification in a high-CO₂ world[J]. Science, 2008, 320(5874): 336-340.
[34]	YANG M X, LIU Z H, SUN H L, et al. Organic carbon source tracing and DIC fertilization effect in the Pearl River: insights from lipid biomarker and geochemical analysis[J]. Applied Geochemistry, 2016, 73: 132-141.
[35]	CHEN B, YANG R, LIU Z H, et al. Coupled control of land uses and aquatic biological processes on the diurnal hydrochemical variations in the five ponds at the Shawan Karst Test Site, China: implications for the carbonate weathering-related carbon sink[J]. Chemical Geology, 2017, 456: 58-71.
[36]	HERNDL G J, REINTHALER T. Microbial control of the dark end of the biological pump[J]. Nature Geoscience, 2013, 6(9): 718-724. DOI PMID
[37]	袁鹏, 刘冬. 矿物增效的生物泵: 基于矿物-微生物作用的水体CO₂增汇策略[J]. 科学通报, 2022, 67(10): 924-932.
[38]	JIAO N Z, HERNDL G J, HANSELL D A, et al. Microbial production of recalcitrant dissolved organic matter: long-term carbon storage in the global ocean[J]. Nature Reviews Microbiology, 2010, 8(8): 593-599. DOI PMID
[39]	LIU Z H, MACPHERSON G L, GROVES C, et al. Large and active CO₂ uptake by coupled carbonate weathering[J]. Earth-Science Reviews, 2018, 182: 42-49.
[40]	张陶. 典型岩溶区溪流中硝酸盐动态变化及其影响因素研究[D]. 重庆: 西南大学, 2015: 19-48.
[41]	赵然, 韩志伟, 申春华, 等. 典型岩溶地下河流域水体中硝酸盐源解析[J]. 环境科学, 2020, 41(6): 2664-2670.
[42]	ZHANG C, WANG J L, PU J B, et al. Bicarbonate daily variations in a karst river: the carbon sink effect of subaquatic vegetation photosynthesis[J]. Acta Geologica Sinica (English Edition), 2012, 86(4): 973-979.
[43]	郭芳, 姜光辉, 袁道先. 南方岩溶区地下河主要离子浓度变化趋势分析[J]. 水资源保护, 2008, 24(1): 16-19, 30.
[44]	郭芳, 姜光辉, 康志强. 亚热带典型岩溶水系统的碳汇效应对比研究[J]. 中国岩溶, 2011, 30(4): 403-409.
[45]	申春华, 韩志伟, 郭永丽, 等. 典型岩溶地下河系统不同水体中硝酸盐时空分布规律及其影响因素分析[J]. 中国生态农业学报(中英文), 2019(8): 1255-1264.
[46]	郭芳. 官村地下河流域氮流失及其影响因素研究[D]. 重庆: 西南大学, 2008: 8-13.
[47]	韦小妹. 桂林毛村地下河流域水化学特征及其影响因素分析[D]. 桂林: 桂林理工大学, 2021: 15-28.
[48]	MEYBECK M. Global chemical weathering of surficial rocks estimated from river dissolved loads[J]. AmericanJournal of Science, 1987, 287(5): 401-428.
[49]	PIPER A M. A graphic procedure in the geochemical interpretation of water-analyses[J]. Eos, Transactions American Geophysical Union, 1944, 25(6): 914-928.
[50]	GIBBS R J. Mechanisms controlling world water chemistry[J]. Science, 1970, 170(3962): 1088-1090. DOI PMID
[51]	YUAN D X. Sensitivity of karst process to environmental change along the PEP II transect[J]. Quaternary International, 1997, 37: 105-113.
[52]	吴庆, 郭永丽, 肖琼, 等. 碳酸盐岩默默地献身于“双碳” 目标[J]. 中国矿业, 2022, 31(增刊1): 215-216, 243.
[53]	张兴波, 蒋勇军, 邱述兰, 等. 农业活动对岩溶作用碳汇的影响: 以重庆青木关地下河流域为例[J]. 地球科学进展, 2012, 27(4): 466-476.
[54]	LIU J K, HAN G L. Major ions and \delta^{34} $\mathrm{~S}_{\mathrm{SO}_{4}}$ in Jiulongjiang River water: investigating the relationships between natural chemical weathering and human perturbations[J]. Science of the Total Environment, 2020, 724: 138208.
[55]	LIU J K, HAN G L. Distributions and source identification of the major ions in Zhujiang River, Southwest China: examining the relationships between human perturbations, chemical weathering, water quality and health risk[J]. Exposure and Health, 2020, 12(4): 849-862.
[56]	CLARK I D, FRITZ P. Environmental isotopes in hydrogeology[M]. Boca Raton: CRC Press/Lewis Publishers, 1997.
[57]	CERLING T E, SOLOMON D K, QUADE J, et al. On the isotopic composition of carbon in soil carbon dioxide[J]. Geochimica et Cosmochimica Acta, 1991, 55(11): 3403-3405.
[58]	DEINES P. Carbon isotope effects in carbonate systems[J]. Geochimica et Cosmochimica Acta, 2004, 68(12): 2659-2679.
[59]	李春, 曹秋婵, 付孜. 广西新一轮退耕还林现状及对策[J]. 中南林业调查规划, 2015, 34(4): 4-7.
[60]	莫桂燕. 气候与土地利用变化下的龙滩流域径流响应研究[D]. 南宁: 广西大学, 2018: 81-99.
[61]	李林立. 西南典型岩溶区生态环境对表层岩溶水调蓄功能的影响研究[D]. 重庆: 西南大学, 2009: 47-88.
[62]	张春来, 黄芬, 蒲俊兵, 等. 中国岩溶碳汇通量估算与人工干预增汇途径[J]. 中国地质调查, 2021, 8(4): 40-52.

典型岩溶小流域碳酸盐岩风化过程及其碳汇效应

Weathering process and carbon sink effect of carbonates in typical karst small basin

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 62

相关文章 6

编辑推荐

Metrics

本文评价

[1]	黄思宇, 蒲俊兵, 潘谋成, 李建鸿, 张陶. 岩溶水库藻源性有机质来源对表层沉积物有机碳矿化过程的影响[J]. 地学前缘, 2024, 31(5): 387-396.
[2]	杨化菊, 李灿锋, 杨克好, 张熙璐, 王传宇, 王兴荣, 何旭, 彭雪峰, 张连凯. 滇南喀斯特地区不同石漠化程度下优势灌木生物量及分配特征[J]. 地学前缘, 2024, 31(5): 440-448.
[3]	于奭, 蒲俊兵, 刘凡, 杨慧. 岩溶碳汇效应对植被的响应研究进展[J]. 地学前缘, 2023, 30(4): 418-428.
[4]	陈轩, 刘王涵, 鲍典, 张利萍, 陈立雄, 杨敏, 张娟, 李英菊, 李广业, 加玉锋. 塔河油田奥陶系古岩溶洞穴充填物时代鉴别特征及其储集意义[J]. 地学前缘, 2023, 30(4): 65-75.
[5]	周长松, 邹胜章, 冯启言, 朱丹尼, 李军, 王佳, 谢浩, 邓日欣. 岩溶关键带水文地球化学研究进展[J]. 地学前缘, 2022, 29(3): 37-50.
[6]	丁虎, 刘丛强, 郎赟超, 刘文景. 桂西北典型峰丛洼地降雨过程中地表水溶解性碳和δ¹³C_DIC变化特征[J]. 地学前缘, 2011, 18(6): 182-189.