基于幂律规则的滨海矿山巷道涌水混合比分析

doi:10.11872/j.issn.1005-2518.2021.01.116

Abstract

Abstract:

The study area，Sanshandao gold mine，is the first coastal mine in China.It belongs to structural fissure water-filled mine，and the hydrogeological conditions are complicated.With the mining of the orebody，multiple water inrush accidents occurred in the shallow and deep parts of the mine，causing the partial roadway to be flooded，and even some sections were accompanied by sand erosion.Water inrush caused by coastal mining is an extreme threat to the safe production of the mine.Therefore，it is important to determine the mine water mixing ratios and analyze its evolutionary law for the prevention of water inrush accidents.The power-law rule is a general law shown in the occurrence of geological disasters in nature.It refers to the relationship between the frequency and the scale of disasters.The frequency of large-scale disasters is low.Conversely，disasters with a high frequency of occurrence are relatively small in scale.To determine the measure of the proportion of seawater，the power-law rule was applied to the statistical analysis of the mixing ratios of the mine water in this study area.Firstly，the results of two existing mixing ratio studies were statistically sorted out，and the probability density statistical results of seawater fluctuation events were obtained.Then，the probability density function p（S） was used to fit the fluctuation events of the seawater ratio in two adjacent monitoring periods.Finally，by integrating the fitted curve，the early warning interval of seawater fluctuation value was obtained.The research results show that the correlation coefficients of the fitting reach 0.92 and 0.93，respectively.It indicates that the distribution of the interval mean value and probability density of seawater proportional fluctuation events conformed to the power-law distribution.Thus，it is credible to use the power-law rule to analyze the mixing ratio of the mine water in the study area.For the mixing ratios obtained by different methods，the law reflected under the power law rule is the same.The fluctuation values of the seawater ratio at most monitoring sites are not large，less than 30%.It shows that the power-law rule is not affected by the calculation method of mixing ratio.Because the selected analysis index is the seawater fluctuation value，that is，for the relative value of two monitoring periods，the errors caused by different methods are eliminated.The probability that the fluctuation value of seawater ratio is greater than 48% is less than 5%，so 48% is regarded as the critical value of the warning interval.When the seawater fluctuation value is greater than this value，it should be paid attention to，and combined with the water temperature，flow rate，and other indicators of the water site for further analysis.Water samples near the F₃ fault have larger fluctuation values of seawater than that of other water samples because F₃ connects the seawater，and due to mining，the water channels around F₃ are complicated and unstable.

Key words: coastal mining, water inrush, mixing ratio, evolution law, statistical analysis, power law

CLC Number:

P642

Xueliang DUAN,Fengshan MA,Jie GUO,Xin HUI,Hongyu GU,Shanfei WANG. Analysis of Mine Water Mixing Ratio in a Coastal Deposit Based on Power Law[J].Gold Science and Technology, 2021, 29(1): 99-107.

Figures/Tables 5

Fig.1

Table 1

Calculation results of mixing ratio of water inrush samples（Duan et al.，2019）"

样品编号	海水	卤水	淡水	样品编号	海水	卤水	淡水	样品编号	海水	卤水	淡水
105-1a	0.52	0.21	0.26	375-7'f	0.81	0.07	0.12	555-5b	0.53	0.39	0.08
105-1b	0.64	0.08	0.28	375-8a	0.62	0.20	0.18	555-5c	0.61	0.28	0.11
150-1a	0.16	0.29	0.54	375-8b	0.56	0.31	0.14	555-6a	0.47	0.42	0.11
150-1b	0.30	0.19	0.51	375-8'e	0.80	0.14	0.05	555-6b	0.58	0.36	0.05
150-1c	0.23	0.22	0.55	375-8'f	0.77	0.09	0.14	555-7b	0.83	0.05	0.12
150-1d	0.35	0.29	0.35	375-9e	0.80	0.14	0.07	600-1a	0.45	0.43	0.12
195-1a	0.57	0.16	0.28	375-9f	0.83	0.07	0.10	600-1b	0.54	0.34	0.12
195-1b	0.62	0.15	0.24	375-10f	0.63	0.21	0.16	600-1c	0.61	0.30	0.09
195-1c	0.52	0.19	0.29	375-11f	0.48	0.50	0.02	600-1d	0.56	0.24	0.20
195-1d	0.52	0.20	0.29	375-12f	0.45	0.49	0.06	600-1e	0.45	0.41	0.14
240-1a	0.62	0.28	0.10	375-13f	0.31	0.63	0.06	600-2a	0.50	0.39	0.11
240-2a	0.70	0.18	0.12	420-1a	0.62	0.19	0.19	600-2b	0.63	0.31	0.06
240-3a	0.34	0.58	0.08	420-1c	0.66	0.22	0.13	600-2c	0.60	0.32	0.08
240-4a	0.72	0.16	0.12	420-2a	0.53	0.33	0.14	600-2d	0.60	0.20	0.20
240-5a	0.60	0.10	0.31	465-1a	0.54	0.34	0.12	600-3a	0.38	0.54	0.08
285-1a	0.35	0.42	0.24	465-1b	0.48	0.35	0.17	600-3b	0.50	0.44	0.07
285-1b	0.58	0.27	0.15	465-1c	0.38	0.43	0.20	600-3c	0.56	0.37	0.07
285-1c	0.57	0.29	0.15	465-2a	0.36	0.41	0.23	600-4b	0.62	0.30	0.07
285-1d	0.38	0.35	0.28	465-2c	0.41	0.37	0.22	600-4c	0.56	0.39	0.05
285-2a	0.61	0.17	0.21	510-1a	0.74	0.16	0.10	600-5b	0.45	0.46	0.09
285-2b	0.75	0.11	0.15	510-1b	0.82	0.05	0.13	600-5c	0.53	0.35	0.12
285-2d	0.45	0.33	0.22	510-1c	0.71	0.18	0.11	600-5d	0.35	0.46	0.19
285-3a	0.00	0.54	0.46	510-2a	0.79	0.10	0.11	600-6c	0.67	0.22	0.10
285-3b	0.00	0.50	0.50	510-2b	0.87	0.03	0.10	600-6d	0.12	0.62	0.26
285-3c	0.00	0.51	0.49	510-2c	0.73	0.10	0.17	600-6e	0.79	0.11	0.11
285-3d	0.00	0.58	0.42	510-3a	0.72	0.14	0.14	600-7c	0.61	0.31	0.07
320-7e	0.11	0.87	0.03	510-3b	0.74	0.12	0.14	600-8c	0.56	0.39	0.05
320-8e	0.24	0.76	0.00	510-4a	0.70	0.16	0.14	600-8d	0.57	0.27	0.16
320-9e	0.39	0.61	0.00	510-4b	0.80	0.07	0.13	600-9c	0.58	0.37	0.05
330-1a	0.55	0.31	0.14	510-5a	0.71	0.13	0.16	600-9d	0.55	0.37	0.08
330-1b	0.54	0.33	0.13	510-6a	0.72	0.10	0.18	600-10d	0.71	0.11	0.18
330-2a	0.59	0.17	0.24	510-6b	0.80	0.07	0.13	600-11e	0.00	0.81	0.19
375-1a	0.67	0.21	0.12	510-7a	0.40	0.48	0.12	600-12e	0.31	0.54	0.15
375-1b	0.68	0.17	0.15	510-8c	0.76	0.07	0.16	600-13e	0.61	0.28	0.10
375-1c	0.64	0.21	0.15	510-9d	0.64	0.13	0.23	600-14e	0.69	0.17	0.13
375-1e	0.75	0.14	0.11	510-10d	0.61	0.15	0.24	600-15e	0.82	0.07	0.11
375-2a	0.70	0.20	0.11	510-11f	0.32	0.63	0.05	600-16e	0.78	0.07	0.15
375-3a	0.78	0.10	0.13	510-12f	0.60	0.29	0.11	600-17e	0.76	0.07	0.17
375-3b	0.78	0.08	0.14	510-13f	0.64	0.28	0.09	600-17f	0.53	0.25	0.22
375-3d	0.59	0.19	0.22	510-15f	0.62	0.28	0.10	600-18e	0.81	0.04	0.14
375-4a	0.75	0.11	0.14	510-16f	0.54	0.35	0.11	600-18f	0.71	0.11	0.18
375-4b	0.71	0.12	0.17	510-16kf	0.71	0.21	0.08	600-19e	0.82	0.03	0.14
375-4c	0.69	0.18	0.13	555-1a	0.72	0.11	0.18	600-20f	0.62	0.23	0.15
375-4d	0.55	0.24	0.21	555-1c	0.71	0.15	0.15	600-21f	0.47	0.32	0.21
375-4e	0.71	0.17	0.12	555-1d	0.22	0.47	0.31	600-22f	0.77	0.08	0.15
375-5a	0.47	0.34	0.19	555-2a	0.72	0.12	0.16	600-23f	0.79	0.06	0.14
375-5b	0.52	0.30	0.18	555-3a	0.67	0.14	0.19	645-1f	0.58	0.32	0.10
375-5c	0.45	0.34	0.21	555-3b	0.67	0.17	0.16	645-2f	0.38	0.39	0.23
375-5d	0.35	0.39	0.27	555-3c	0.42	0.39	0.19	645-3f	0.54	0.34	0.12
375-5e	0.57	0.28	0.15	555-3d	0.40	0.35	0.25	645-4f	0.49	0.40	0.11
375-6a	0.51	0.35	0.14	555-4a	0.67	0.18	0.14	690-1f	0.55	0.35	0.10
375-6b	0.47	0.37	0.16	555-4b	0.80	0.09	0.11	690-10f	0.49	0.27	0.24
375-6'f	0.78	0.08	0.13	555-4c	0.76	0.11	0.13	690-2c	0.59	0.38	0.03
375-7a	0.49	0.33	0.18	555-4d	0.68	0.12	0.20	690-2f	0.63	0.26	0.10
375-7'e	0.79	0.10	0.11	555-5a	0.68	0.18	0.14	690-12f	0.67	0.24	0.09

Table 1

Table 2

Table 3

Fig.2

References 0

	Bak P，Tang C，1989.Earthquakes as a self-organized critical phenomenon［J］.Journal of Geophysical Research，94（B11）：15635-15637.
	Bak P，Tang C，Wiesenfeld K，1987.Self-organized criticality：An explanation of 1/f noise［J］.Physical Review Letters，59（4）：381-384.
	Carlson J M，Langer J S，1989.Mechanical model of an earthquake fault［J］.Physical Review A，40：6470-6483.
	Chung J S，1996.Deep-ocean mining：Technologies for manganese nodules and crusts［J］.International Journal of Offshore Polar Engineering，6（4）：244-254.
	Commeau R F，Clark A，Johnson C，al et，1984.Ferromanganese crust resources in the Pacific and Atlantic Oceans［C］//Proceedings of the Oceans Conference （IEEE）.New York：IEEE.
	Duan X L，Ma F S，Guo J，al et，2019.Source identification and quantification of seepage water in a coastal mine，in China［J］.Water，11（9）：1862.
	Dussauge C，Grasso J R，Helmstetter A，2003.Statistical analysis of rockfall volume distributions： Implications for rockfall dynamics［J］.Journal of Geophysical Research Solid Earth，108（B6）：1-11.
	Gao Song，Zhang Junjin，Sun Shanshan，al et，2016.Hydrogeological characteristics of gold deposit in north sea area of Sanshandao［J］.Gold Science and Technology，24（1）：11-16.
	Gu H Y，Ma F S，Guo J，al et，2017.Hydrochemistry，multidimensional statistics，and rock mechanics investigations for Sanshandao gold mine，China［J］.Arabian Journal of Geosciences，10（3）：62.
	Gu H Y，Ma F S，Guo J，al et，2018.Assessment of water sources and mixing of groundwater in a coastal mine：The Sanshandao gold mine，China［J］.Mine Water and the Environment，37：351-365.
	Guo J，Zhao H J，Ma F S，al et，2015.Investigating the permeability of fractured rock masses and the origin of water in a mine tunnel in Shandong Province，China［J］.Water Science and Technology，72（11）：2006-2017.
	Guzzetti F，Malamud B D，Turcotte D L，al et，2002.Power-law correlations of landslide areas in central Italy［J］.Earth and Planetary Science Letters，195（3/4）：169-183.
	Hui X，Ma F S，Guo J，al et，2018.Power-law correlations of mine subsidence at a metal mine in China［J］.Environmental Geotechnics：1-12.doi：10.1680/jenge.18.00039. doi: 10.1680/jenge.18.00039
	Hui X，Ma F S，Zhao H J，al et，2019.Monitoring and statistical analysis of mine subsidence at three metal mines in China［J］.Bulletin of Engineering Geology & the Environment，78（6）：3983-4001.
	Hurst M D，Ellis M A，Royse K R，al et，2013.Controls on the magnitude-frequency scaling of an inventory of secular landslides［J］.Earth Surface Dynamics，1（1）：67-78.
	Ito K，Tsuzaki M，1990.Earthquakes as self-organized critical phenomena［J］.Journal of Geophysical Research，95（B5）：6853.
	Liu Yushan，Wu Bihao，2005.Exploitation of marine mineral resources：Review and prospects［J］.Mineral Deposits，24（1）：81-84.
	Ma F S，Zhao H J，Guo J，2015.Investigating the characteristics of mine water in a subsea mine using groundwater geochemistry and stable isotopes［J］.Environmental Earth Sciences，74（9）：6703-6715.
	Nakanishi H，1990.Cellular-automaton model of earthquakes with deterministic dynamics［J］.Physical Review A，41（12）：7086-7089.
	Peng K，Li X B，Wang Z W，2015.Hydrochemical characteristics of groundwater movement and evolution in the Xinli deposit of the Sanshandao gold mine using FCM and PCA methods［J］.Environmental Earth Sciences，73（12）：7873-7888.
	Qiu Haijun，Cao Mingming，Liu Wen，2013.Power-law correlations of landslides：A case of Ningqiang County［J］.Geolo-gical Science and Technology Information，32（3）：183-187.
	Rona P A，2003.Resources of the sea floor［J］.Science，299（5607）：673-674.
	Teixeira S B，2006.Slope mass movements on rocky sea-cliffs：A powerlaw distributed natural hazard on the Barlavento Coast，Algarve，Portugal［J］.Continental Shelf Research，26（9）：1077-1091.
	Wang Shanfei，2001.Analysis of hydrogeology for deep mining in Sanshandao gold mine［J］.Nonferrous Mines，30（3）：9-12.
	Xu Qiang，Huang Runqiu，1997.Power law between volume and frequency of geological hazards［J］.Journal of Chengdu University of Technology，24（Supp.1）：93-98.
	Ye Bailong，Peng Ensheng，1994.Study on the conducting-water structure model in the Sanshandao gold deposit［J］.Journal of Central South Universtiy（Science and Technology），25（2）：146-150.
	Zhang Shouquan，Huang Wei，1994.Hydrogeological and engineering features of F₃ fracture zone in Sanshan Island gold mine district and prevention of hazards ［J］.Journal of Engineering Geology，2（1）：62-72.
	高松，张军进，孙珊珊，等，2016.三山岛北部海域金矿区水文地质特征分析［J］.黄金科学技术，24（1）：11-16.
	刘玉山，吴必豪，2005.海底金属矿产资源的开发——回顾与未来展望［J］.矿床地质，24（1）：81-84.
	邱海军，曹明明，刘闻，2013.地质灾害的幂律相依性：以宁强县为例［J］.地质科技情报，32（3）：183-187.
	王善飞，2001.三山岛金矿深部开采水文地质浅析［J］.有色矿山，30（3）：9-12.
	许强，黄润秋，1997.地质灾害发生频率的幂律规则［J］.成都理工学院学报，24（增1）：93-98.
	叶柏龙，彭恩生，1994.三山岛金矿导水构造模式研究［J］.中南大学学报（自然科学版），25（2）：146-150.
	张寿全，黄巍，1994.三山岛金矿F₃断裂带的水文地质工程地质特征及灾害防治［J］.工程地质学报，2（1）：62-72.

Metrics

Viewed

Full text

Abstract

Cited

Shared

Discussed

Comments

Recommended 10

[1]	HUANG Jun, WU Jiafu, LU RuKuai , XIA Liyuan. [J]. J4, 2010, 18(4): 1 -5 .
[2]	YUE Yongdong. [J]. J4, 2007, 15(2): 47 -48 .
[3]	ZHAO Guang-Xi, WANG Long-Cheng. Analysis of Gold M etallogenetic Sysemin in Southen Band of Northen Moutain[J]. J4, 2007, 15(3): 28 -33 .
[4]	LU Yaozu. Geological Characteristics and Prospecting Potential of the Antimony Gold Occurence in Longte[J]. J4, 2008, 16(3): 13 -16 .
[5]	WANG Zhong-Jun, WANG Yong-Cheng, JIANG Wei-Ming, HU Shi-Li, LIU Jin-Peng. Analysis and Application of Cut-off-Grade in Gold Ore Extraction[J]. J4, 2007, 15(4): 54 -57 .
[6]	ZHANG Zhong-Hua, ZHANG Jun-Yan. The Characterisic and Effect of Sort of Filter Equipment[J]. J4, 2005, 13(1-2): 80 -83 .
[7]	WANG Kanglin,WANG Mohui,JIANG Jinglong. Current status of studies on bacterial oxidation and pre-disposal of refractory gold ores[J]. J4, 2001, 9(1): 19 -24 .
[8]	. [J]. J4, 1995, 3(1): 39 -44 .
[9]	LI Jian-Gan. RESEARCH FOR THE ORE2FORMING GEOLOGY LAW OF HETAI GOLD DEPOSIT[J]. J4, 2002, 10(2): 16 -22 .
[10]	. [J]. J4, 1998, 6(5-6): 40 -47 .

统计区间	区间均值	事件个数	累计个数	发生频率	概率密度
[0，10）	5	45	45	0.625	0.063
[10，20）	15	19	64	0.264	0.026
[20，30）	25	5	69	0.069	0.007
[30，40）	35	2	71	0.028	0.003
[40，50）	45	1	72	0.014	0.001

统计区间	区间均值	事件个数	累计个数	发生频率	概率密度
[0，10）	5	46	46	0.613	0.061
[10，20）	15	22	68	0.293	0.029
[20，30）	25	4	72	0.053	0.005
[40，50）	45	1	73	0.013	0.001
[50，60）	55	1	74	0.013	0.001
[60，70）	65	1	75	0.013	0.001

Analysis of Mine Water Mixing Ratio in a Coastal Deposit Based on Power Law

RichHTML

PDF (PC)

Abstract

Cite this article

share this article

Figures/Tables 5

References 0

Related Articles 8

Metrics

Comments

Recommended 10

[1]	Xi WANG,Chunde MA,Xingquan LIU,Mingwei JIANG,Yuyun FAN. The Variation Law of In-situ Stress and Rock Mechanical Parameters with Buried Depth in Coastal Mining Area and Their Relationship [J]. Gold Science and Technology, 2021, 29(4): 535-544.
[2]	Peijiao JU. Tectono-Geochemical Characteristics of Liyuan Gold Mine in the North Section of Taihang Mountain [J]. Gold Science and Technology, 2021, 29(1): 64-73.
[3]	Wei LI,Fengshan MA,Xiangpeng LU,Jiayuan CAO,Jie GUO. Analysis of Geological Structure of Submarine Mining Area Based on 3D Seismic Exploration [J]. Gold Science and Technology, 2019, 27(4): 530-538.
[4]	Yu CUI,Xibing LI,Longjun DONG,Lü BAI. Optimization of Micro-seismic Monitoring Network Layout in Linglong Gold Mine [J]. Gold Science and Technology, 2019, 27(3): 417-424.
[5]	Xueliang DUAN,Fengshan MA,Haijun ZHAO,Jie GUO,Hongyu GU,Shuaiqi LIU. Study on Water Sources Identification and Mixing Ratios of Mine Water [J]. Gold Science and Technology, 2019, 27(3): 406-416.
[6]	Guowei LIU,Fengshan MA,Jie GUO,Yunlong DU,Chenglu HOU,Wei LI. Application of Multivariate Statistical Analysis to Identify Water Source in Coast Mine Area：As Example of Sanshandao Gold Mine [J]. Gold Science and Technology, 2019, 27(2): 207-215.
[7]	BI Hongtao,WANG Cunwen,LI Wei. The Study of Microseismic Monitoring on Rock Failure and Disaster-induced in Gold Mining Undersea [J]. J4, 2010, 18(5): 52-54.
[8]	YIN Dafa,MENG Xiangrui,Yin Dashu. Mine Ming Plans and Its Intelligence Decision Support System [J]. J4, 2004, 12(6): 38-42.