Abstract
Petroleum industry can create enormous wealth and employment opportunities, which is one of the pillars of the national economy. The transportation conditions of petroleum products are complex and changeable. The natural disaster–induced dangerous chemical leakage may damage the ecological environment, which leads to substantial economic losses. It significantly undermines the sustainable development agenda. Therefore, assessing the possibility of leakage and the potential environmental damages becomes a primary task to decision-makers to formulate maintenance plans. This paper evaluated the risk of an oil pipeline leakage under the regional geological disasters. Specifically, risk assessment indicators system was established considering the common threat of multiple natural hazards in the region. The sensitivities of the influence factors were determined using the combined GIS and the contribution rate model. The fuzzy analysis approach was used to process the expert’s judgment to obtain a real-time disaster hazard. Meanwhile, in terms of the analysis of pipeline failure causes, the assessment system of disaster resistance ability was developed to determine the possibility of leakage. The leakage-induced environmental losses were quantified by monetary quantification. Finally, the level of environmental risk was determined using a 5 × 5 probability-currency matrix. Case results show that the risk level is medium, thereby appropriate maintenance measures need to be taken to reduce the risk. Overall, this study provides necessary help to prevent the leakage of petroleum products in transportation. Also, the environmental risk presented in the form of currency can promote non-environmental professional risk decision-makers better understand the degree of risk.
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References
Alvarado-Franco JP, Castro D, Estrada N, Caicedo B, Sánchez-Silva M, Camacho LA, Muñoz F (2017) Quantitative-mechanistic model for assessing landslide probability and pipeline failure probability due to landslides. Eng Geol 222:212–224. https://doi.org/10.1016/j.enggeo.2017.04.005
Ambrosi C, Strozzi T, Scapozza C, Wegmüller U (2018) Landslide hazard assessment in the Himalayas (Nepal and Bhutan) based on Earth-Observation data. Eng Geol 237:217–228. https://doi.org/10.1016/j.enggeo.2018.02.020
Badida P, Balasubramaniam Y, Jayaprakash J (2019) Risk evaluation of oil and natural gas pipelines due to natural hazards using fuzzy fault tree analysis. J Nat Gas Sci Eng 66:284–292. https://doi.org/10.1016/j.jngse.2019.04.010
Bonvicini S, Antonioni G, Cozzani V (2018) Assessment of the risk related to environmental damage following major accidents in onshore pipelines. J Loss Prevent Proc Ind 56:505–516. https://doi.org/10.1016/j.jlp.2018.11.005
Cai T, Li X, Ding X, Wang J, Zhan J (2019) Flood risk assessment based on hydrodynamic model and fuzzy comprehensive evaluation with GIS technique. Int J Disast Risk Re 35:101077. https://doi.org/10.1016/j.ijdrr.2019.101077
Chen L, van Westen CJ, Hussin H, Ciurean RL, Turkington T, Chavarro-Rincon D, Shrestha DP (2016) Integrating expert opinion with modelling for quantitative multi-hazard risk assessment in the Eastern Italian Alps. Geomorphology 273:150–167. https://doi.org/10.1016/j.geomorph.2016.07.041
Chen N, Chen L, Ma Y, Chen A (2019a) Regional disaster risk assessment of China based on self-organizing map: clustering, visualization and ranking. Int J Disaster Risk Reduct 33:196–206. https://doi.org/10.1016/j.ijdrr.2018.10.005
Chen X, Wu Z, Chen W, Kang R, He X, Miao Y (2019b) Selection of key indicators for reputation loss in oil and gas pipeline failure event. Eng Fail Anal 99:69–84. https://doi.org/10.1016/j.engfailanal.2019.01.071
Chen G, Wu S, Pan G (2019c) Assessment index system of washout hazard of pipeline across-river based on contribution model. Chin J Geol Hazard Control 30:123–128. https://doi.org/10.16031/j.cnki.issn.1003-8035.2019.04.18
Cheng YF (2016) Monitor safety of aged oil pipelines. Nature 529:156. https://doi.org/10.1038/529156e
Clemen RT, Winkler RL (1999) Combining probability distributions from experts in risk analysis. Risk Anal 19:187–203. https://doi.org/10.1023/A:1006917509560
Coent PL, Préget R, Thoyer S (2017) Compensating environmental losses versus creating environmental gains: implications for biodiversity offsets. Ecol Econ 142:120–129. https://doi.org/10.1016/j.ecolecon.2017.06.008
Erdogan SA, Šaparauskas J, Turskis Z (2017) Decision making in construction management: AHP and expert choice approach. Process Eng 172:270–276. https://doi.org/10.1016/j.proeng.2017.02.111
He BJ, Zhao DX, Zhu J, Darko A, Gou ZH (2018) Promoting and implementing urban sustainability in China: an integration of sustainable initiatives at different urban scales. Habitat Int 82:83–93. https://doi.org/10.1016/j.habitatint.2018.10.001
Heinrich HW (1931) Industrial accident prevention: a scientific approach. McGraw-Hill Book Company, New York
Hong L, Tang Y, Cheng Y (2007) Study on the classification of dangerous Hazard evaluation based on risk management method. China Saf Sci J 17:145–150. https://doi.org/10.16265/j.cnki.issn1003-3033.2007.06.017
Jiang L, Ye J, Zheng H (2019) Collapse mechanism analysis of the FIU pedestrian bridge based on the improved structural vulnerability theory (ISVT). Eng Fail Anal 104:1064–1075. https://doi.org/10.1016/j.engfailanal.2019.06.033
Johansson M (2015) Data sources on small-scale disaster losses and response–a Swedish case study of extreme rainfalls 2000–2012. Int J Disaster Risk Reduct 12:93–101. https://doi.org/10.1016/j.ijdrr.2014.12.004
Johnson K, Depietri Y, Breil M (2016) Multi-hazard risk assessment of two Hong Kong districts. Int J Disaster Risk Reduct 19:311–323. https://doi.org/10.1016/j.ijdrr.2014.12.004
Jou RC, Chen TY (2015) The willingness to pay of parties to traffic accidents for loss of productivity and consolation compensation. Accid Anal Prev 85:1–12. https://doi.org/10.1016/j.aap.2015.08.021
Khudayarov BA, Komilova KM (2019) Vibration and dynamic stability of composite pipelines conveying a two-phase fluid flows. Eng Fail Anal 104:500–512. https://doi.org/10.1016/j.engfailanal.2019.06.025
Li C, Xi Z (2019) Social stability risk assessment of land expropriation: lessons from the chinese case. Int J Environ Res Public Health 16:3952. https://doi.org/10.3390/ijerph16203952
Li S, Duan Q, Zhang H, Wang J (2017) Failure analysis of the floating pipeline with defect under flooding load. Eng Fail Anal 77:65–75. https://doi.org/10.1016/j.engfailanal.2017.02.011
Li C, Gao X, He BJ, Wu J, Wu K (2019a) Coupling coordination relationships between urban-industrial land use efficiency and accessibility of highway networks: evidence from Beijing-Tianjin-Hebei urban agglomeration, China. Sustainability 11:1446. https://doi.org/10.3390/su11051446
Li P, Zhang L, Dai L, Zou Y, Li X (2019b) An assessment method of operator’s situation awareness reliability based on fuzzy logic-AHP. Saf Sci 119:330–343. https://doi.org/10.1016/j.ssci.2018.08.007
Li Z, An C, Liu H (2020) Evaluation of different earthquake scaling relations on the generation of tsunamis and hazard assessment. Ocean Eng 195:106716. https://doi.org/10.1016/j.oceaneng.2019.106716
Liang X, Liang W, Zhang L, Guo X (2019) Risk assessment for long-distance gas pipelines in coal mine gobs based on structure entropy weight method and multi-step backward cloud transformation algorithm based on sampling with replacement. J Clean Prod 227:218–228. https://doi.org/10.1016/j.jclepro.2019.04.133
Liu X, Zhang H, Wu K, Xia M, Chen Y, Li M (2017) Buckling failure mode analysis of buried X80 steel gas pipeline under reverse fault displacement. Eng Fail Anal 77:50–64. https://doi.org/10.1016/j.engfailanal.2017.02.019
Lu L, Liang W, Zhang L, Zhang H, Lu Z, Shan J (2015) A comprehensive risk evaluation method for natural gas pipelines by combining a risk matrix with a bow-tie model. J Nat Gas Sci Eng 25:124–133. https://doi.org/10.1016/j.jngse.2015.04.029
Lu Y, Xu J, Wang H, Liu X, Li W (2019) Distribution, sources and health risk assessment of contaminations in water of urban park: a case study in Northeast China. Environ Geochem Health 41:2473–2489. https://doi.org/10.1007/s10653-019-00293-8
Manolis GD, Stefanou G, Markou AA (2020) Dynamic response of buried pipelines in randomly structured soil. Soil Dyn Earthq Eng 128:105873. https://doi.org/10.1016/j.soildyn.2019.105873
Mou B, Li X, Qiao Q, He B, Wu M (2019) Seismic behaviour of the corner joints of a frame under biaxial cyclic loading. Eng Struct 196:109316. https://doi.org/10.1016/j.engstruct.2019.109316
Muhlbauer WK (2004) Pipeline risk management manual, 3rd edn. Gulf Publishing Companies, Houston
Onisawa T (1990) An application of fuzzy concepts to modelling of reliability analysis. Fuzzy Sets Syst 37:267–286. https://doi.org/10.1016/0165-0114(90)90026-3
Ouyang C, Wang Z, An H, Liu X, Wang D (2019) An example of a hazard and risk assessment for debris flows—a case study of Niwan Gully, Wudu, China. Eng Geol 263:105351. https://doi.org/10.1016/j.enggeo.2019.105351
Piadeh F, Ahmadi M, Behzadian K (2018) Reliability assessment for hybrid systems of advanced treatment units of industrial wastewater reuse using combined event tree and fuzzy fault tree analyses. J Clean Prod 201:958–973. https://doi.org/10.1016/j.jclepro.2018.08.052
Qureshi MI, Yusoff RM, Hishan SS, Alam AF, Zaman K, Rasli AM (2019) Natural disasters and Malaysian economic growth: policy reforms for disasters management. Environ Sci Pollut Res 26:15496–15509. https://doi.org/10.1007/s11356-019-04866-z
Sarmiento FO (2009) Geomorphology of natural hazards and human-induced disasters in Ecuador. Dev Earth Surf Process 13:149–163. https://doi.org/10.1016/S0928-2025(08)10008-6
Seejata K, Yodying A, Wongthadam T, Mahavik N, Tantanee S (2018) Assessment of flood hazard areas using analytical hierarchy process over the Lower Yom Basin, Sukhothai Province. Procedia Eng 212:340–347. https://doi.org/10.1016/j.proeng.2018.01.044
Shan K, Shuai J, Xu K, Zheng W (2018) Failure probability assessment of gas transmission pipelines based on historical failure-related data and modification factors. J Nat Gas Sci Eng 52:356–366. https://doi.org/10.1016/j.jngse.2018.01.049
Sharma SK, Maheshwari S (2017) A review on welding of high strength oil and gas pipeline steels. J Nat Gas Sci Eng 38:203–217. https://doi.org/10.1016/j.jngse.2016.12.039
Vezzoli L, Apuani T, Corazzato C, Uttini A (2017) Geological and geotechnical characterization of the debris avalanche and pyroclastic deposits of Cotopaxi volcano (Ecuador). A contribute to instability-related hazard studies. J Volcanol Geoth Res 332:51–70. https://doi.org/10.1016/j.jvolgeores.2017.01.004
Wang H, Xu J, Zhao W, Zhang J (2014) Effects and risk evaluation of oil spillage in the sea areas of Changxing Island. Int J Environ Res Public Health 11:8491–8507. https://doi.org/10.3390/ijerph110808491
Wang J, Yu Y, Gong Q, Yin X, Xiong H (2016) Hazard assessment of geological disaster in Nanning City based on factor contribution rate model. Geogr Sci Res 5:54–63. https://doi.org/10.12677/gser.2016.52007
Wang Z, Lu Z, Zhang D, Liu H (2019) Stress effect of the interface between buried pipeline and sandy soil layer in a cold environment. Cold Reg Sci Technol 172:102981. https://doi.org/10.1016/j.coldregions.2019.102981
Wu Y, Zha S, Jin P (2019) Finite element method simulations to study factors affecting buried pipeline subjected to debris flow. J Press Vessel Technol 141:021701. https://doi.org/10.1115/1.4042055
Ye J, Jiang L (2018) Collapse mechanism analysis of a steel moment frame based on structural vulnerability theory. Arch Civ Mech Eng 18:833–843. https://doi.org/10.1016/j.acme.2018.01.001
Younsi K, Smati A (2017) Intrinsic availability assessment of aged gas transmission pipeline using bayesian update and stochastic process modeling. J Nat Gas Sci Eng 45:659–669. https://doi.org/10.1016/j.jngse.2017.06.012
Zhang P, Qin G, Wang Y (2019a) Optimal maintenance decision method for urban gas pipelines based on as low as reasonably practicable principle. Sustainability 11:153. https://doi.org/10.3390/su11010153
Zhang P, Qin G, Wang Y (2019b) Risk assessment system for oil and gas pipelines laid in one ditch based on quantitative risk analysis. Energies 12:981. https://doi.org/10.3390/en12060981
Zhang Y, Wang Z, Yang Q, Wang H (2019c) Numerical analysis of the impact forces exerted by submarine landslides on pipelines. Appl Ocean Res 92:101936. https://doi.org/10.1016/j.apor.2019.101936
Acknowledgments
Authors express great thanks for the financial support from the National Natural Science Foundation and China Scholarship Council. In addition, we thank Dr. Xie for the assistance in editing the figures in this paper.
Funding
This work was supported by the China Scholarship Council (CSC no. 201908510201) and the National Natural Science Foundation (Grant number no. 50974105).
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Qin, G., Zhang, P., Hou, X. et al. Risk assessment for oil leakage under the common threat of multiple natural hazards. Environ Sci Pollut Res 27, 16507–16520 (2020). https://doi.org/10.1007/s11356-020-08184-7
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DOI: https://doi.org/10.1007/s11356-020-08184-7