Next Article in Journal
Brazilian Annual Precipitation Analysis Simulated by the Brazilian Atmospheric Global Model
Next Article in Special Issue
Research on the Capacity of Underground Reservoirs in Coal Mines to Protect the Groundwater Resources: A Case of Zhangshuanglou Coal Mine in Xuzhou, China
Previous Article in Journal
Groundwater Management and Allocation Models: A Review
Previous Article in Special Issue
Application and Prospect of Curtain Grouting Technology in Mine Water Safety Management in China: A Review
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Water
Volume 15
Issue 2
10.3390/w15020254
water-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

A GIS-Based Probabilistic Spatial Multicriteria Roof Water Inrush Risk Evaluation Method Considering Decision Makers’ Risk-Coping Attitude

by
Dangliang Wang
1,
Chengyue Gao
1,*,
Kerui Liu
1,
Junling Gong
1,
Yafei Fang
2 and
Shijie Xiong
1
1
School of Resources and Geosciences, China University of Mining and Technology, Xuzhou 221116, China
2
Shaanxi Energy Liangshuijing Mining Co., Ltd., Yulin 719315, China
*
Author to whom correspondence should be addressed.
Water 2023, 15(2), 254; https://doi.org/10.3390/w15020254
Submission received: 16 December 2022 / Revised: 3 January 2023 / Accepted: 4 January 2023 / Published: 6 January 2023
(This article belongs to the Special Issue Mine Water Safety and Environment)
Browse Figures
Versions Notes

Abstract

A combination of geographic information system (GIS) and spatial multicriteria decision making (MCDA) in mine water inrush risk evaluation is widely used, but the randomness in the process of index weight determination and the risk-coping attitude of decision makers are not considered in the decision making process. Therefore, this paper proposes a probability-based roof water inrush risk evaluation method (GIS-MCDA) by combining the Monte Carlo analytic hierarchy process (MAHP) and ordered weighted averaging (OWA) operator. This method uses MAHP to determine the weight of the evaluation indicators, reducing the randomness of the analytic hierarchy process (AHP) to determine the weight of the evaluation indicators using the OWA operator to quantify the five risk-coping attitudes of decision makers and incorporate the risk attitude of decision makers into the evaluation process. Taking the Liangshuijing Coal Mine in northern Shaanxi as an example, the application of the GIS-MCDA method showed that the method makes the risk results of roof water inrush more objective and comprehensive and reduces or avoids the risk of decision making due to human subjective tendency change.
Keywords: risk assessment of roof water inrush; Monte Carlo analytic hierarchy process; risk-coping attitude; decision makers; Liangshuijing Coal Mine risk assessment of roof water inrush; Monte Carlo analytic hierarchy process; risk-coping attitude; decision makers; Liangshuijing Coal Mine

Share and Cite

MDPI and ACS Style

Wang, D.; Gao, C.; Liu, K.; Gong, J.; Fang, Y.; Xiong, S. A GIS-Based Probabilistic Spatial Multicriteria Roof Water Inrush Risk Evaluation Method Considering Decision Makers’ Risk-Coping Attitude. Water 2023, 15, 254. https://doi.org/10.3390/w15020254

AMA Style

Wang D, Gao C, Liu K, Gong J, Fang Y, Xiong S. A GIS-Based Probabilistic Spatial Multicriteria Roof Water Inrush Risk Evaluation Method Considering Decision Makers’ Risk-Coping Attitude. Water. 2023; 15(2):254. https://doi.org/10.3390/w15020254

Chicago/Turabian Style

Wang, Dangliang, Chengyue Gao, Kerui Liu, Junling Gong, Yafei Fang, and Shijie Xiong. 2023. "A GIS-Based Probabilistic Spatial Multicriteria Roof Water Inrush Risk Evaluation Method Considering Decision Makers’ Risk-Coping Attitude" Water 15, no. 2: 254. https://doi.org/10.3390/w15020254

APA Style

Wang, D., Gao, C., Liu, K., Gong, J., Fang, Y., & Xiong, S. (2023). A GIS-Based Probabilistic Spatial Multicriteria Roof Water Inrush Risk Evaluation Method Considering Decision Makers’ Risk-Coping Attitude. Water, 15(2), 254. https://doi.org/10.3390/w15020254

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop