区域性大气腐蚀图绘制技术研究进展

doi:10.11902/1005.4537.2022.060

中国腐蚀与防护学报

2023, Vol. 43

Issue (1): 29-37 CSTR: 32134.14.1005.4537.2022.060 DOI: 10.11902/1005.4537.2022.060

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区域性大气腐蚀图绘制技术研究进展

樊志彬(

), 李辛庚, 王晓明, 王倩

国网山东省电力公司电力科学研究院济南 250002

Review of Regional Atmospheric Corrosion Mapping Technologys

FAN Zhibin(

), LI Xingeng, WANG Xiaoming, WANG Qian

State Grid Shandong Electric Power Research Institute, Jinan 250002, China

全文: PDF(615 KB) HTML

摘要:

大气腐蚀图是一种在地理地图上描述目标区域大气环境腐蚀性强弱的图示方法，可为工程的防腐设计、运行维护和寿命预测等提供数据支持，对于节支防腐成本和保障工程安全意义重大。大气腐蚀图由最初的栅格、等值线图发展到了更为直观、更方便读取的色斑图。剂量响应函数的发展解决了从暴露试验中难以获取足够腐蚀数据的问题，绘图者可通过环境数据快速地计算出目标区域的大气腐蚀数据。在大气腐蚀图绘图中主要使用反距离加权和克里金插值模型实现数据空白区域的赋值，但是相关模型的适用性和误差分析未见研究报道。基于大气腐蚀图绘制技术的发展现状，建立能够反映材料腐蚀机理、适用性更强且误差更小的剂量响应函数和研究更适用于大气腐蚀数据的空间插值模型是大气腐蚀图绘制技术的发展方向。

关键词 ：大气腐蚀, 腐蚀图, 剂量响应函数, 空间插值

Abstract：

Atmospheric corrosion map is a graphical method for describing the corrosivity of the atmospheric environment of a designated area on a geographic map, which can provide data support for the anti-corrosion design, maintenance, and life prediction of the outdoor projects. It is of great significance to save anti-corrosion cost and ensure the safety of the project. Atmospheric corrosion maps have evolved from the initial grid and contour maps to more intuitive and easy-to-read colorful maps. The development of the dose response function solves the problem that it is difficult to obtain sufficient corrosion data from the exposure test, and the atmospheric corrosion data of the target area can be calculated quickly by using the environmental data. The inverse distance weighting and kriging interpolation models are mainly used in constructing atmospheric corrosion maps to predict the assignment of data blank areas, but the relevant applicability and error analysis of the models have not been reported yet. Based on the development of atmospheric corrosion mapping technologys, the development directions of atmospheric corrosion mapping technology may be proposed as follows: the establish Dose Response Functions that reflect the corrosion mechanism of materials, with greater applicability and less error, and to study spatial interpolation models that are more suitable for atmospheric corrosion data.

Key words： atmospheric corrosion corrosion map dose response function spatial interpolation

收稿日期: 2022-03-06 32134.14.1005.4537.2022.060

ZTFLH:

TG174

基金资助:国家电网有限公司总部科技项目(5200-202016471A-0-0-00)

通讯作者: 樊志彬，E-mail：fan200403707@163.com，研究方向为电网材料腐蚀防护及数据挖掘技术

Corresponding author: FAN Zhibin, E-mail: fan200403707@163.com

作者简介: 樊志彬，男，1987年生，高级工程师

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引用本文:

樊志彬, 李辛庚, 王晓明, 王倩. 区域性大气腐蚀图绘制技术研究进展[J]. 中国腐蚀与防护学报, 2023, 43(1): 29-37.
FAN Zhibin, LI Xingeng, WANG Xiaoming, WANG Qian. Review of Regional Atmospheric Corrosion Mapping Technologys. Journal of Chinese Society for Corrosion and protection, 2023, 43(1): 29-37.

链接本文:

https://www.jcscp.org/CN/10.11902/1005.4537.2022.060 或 https://www.jcscp.org/CN/Y2023/V43/I1/29

Region	Organization	Time	Data sources	Number of sites / pieces	Regional area km²	Resolution km²	Graphical form	Interpolation model	References
British	CIRIA	1971	Exposed Samples	3182	244100	10×10	Grid	---	[8, 9]
Oslo	NILU Norwegian Institute for Air Research	1985	DRF	---	454	---	Isolines	---	[27]
Yucatán Peninsula	Centro de InvestigacioÂn y de Estudios Avanzados, Unidad MeÂrida	1999	Exposed Samples	14	197600	---	Points	---	[10]
Korea	Andong National University	2011	Environmental Factors, Exposed Samples	21	100210	---	Color blocks	---	[11, 12]
Australia	CSIRO	1999	Environmental Factors, Exposed Samples	475	42000	---	Points	---	[40]
Australia and Vietnam	CSIRO and IMS	2012	Environmental Factors, Exposed Samples	75(Vietnam), 8 (Vietnam)	7617930 (Australia), 329556 (Vietnam)	5×5	Color blocks	Environment Model and Inverse Distance Weighting	[42]
India	Central Electrochemical Research Institute	2004	Exposed Samples	40	2980000	---	Points	---	[7]
Spain	Centro Nacional de Investigaciones Metalúrgicas (CENIM)	2010	DRF	100	505925	0.5×0.5	Color blocks	Kriging	[36]
Abu Dhabi	CSIRO and ADWEA	2011	Environmental Factors	---	67340	---	Color blocks	Environment Model	[41]
Slovakia	University of Zilina	2015	DRF	---	49037	---	Color blocks	---	[28,29]
Greater Athens	National Observatory of Athens	2013	DRF	20	412	---	Color blocks	Kriging	[38]
Switzerland	EMPA	2004	DRF	＞60	41284	0.25×0.25	Color blocks	Inverse Distance Weighting and Kriging	[32]
European Part of Russia	Russian Academy of Sciences	2002	DRF	---	4268350	150×150	Grid	---	[34]
Istanbul	Fatih University	2013	DRF	50	5343	---	Color blocks	Kriging	[39]
Peninsular Malaysia	Universiti Tenaga Nasional	2013	DRF	17	130590	---	Color blocks	Inverse Distance Weighting	[43]
Czech	SVUOM Ltd.	2015	DRF	---	78866	2×2	Color blocks	Kriging	[30,31]
Russia	Russian Academy of Sciences	2019	DRF	6213	17098200	0.5 Latitude×1 Longitude	Color blocks	---	[35]
Canary Islands	Universidad de L as Palmas de Gran Canaria	2016	Exposed Samples	39	7273	---	---	---	[13]
Chile	Pontificia Universidad Católica de Valparaíso	2016	Exposed Samples	31	756626	---	Color blocks	---	[14]
Europe	Royal Institute of Technology, Sweden Corrosion and Metals Research Institute, Sweden	2006	DRF	---	---	50×50	Color blocks	Kriging	[33]
Madrid	Centro Nacional de Investigaciones Metalúrgicas (CENIM)	2013	DRF	32	607	0.5×0.5	Color blocks	Kriging	[37]
South Africa	University of the Witwatersrand	2019	Exposed Samples	100	1219090	---	Color blocks	---	[15]

表1 国外典型大气腐蚀图

表2 国内典型大气腐蚀图绘制

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