Prediction And Potential Detection of Land Subsidence By Integrating AHP And Programming Methods: Case Study of South Eastern Iran

Abstract

One of the biggest risks that need to be considered before any construction operation such as road construction or construction is to determine the exact location of subsidence and predict the places with the potential to cause these complications.There are various methods for identifying and predicting the occurrence of these phenomena. In this article, hierarchical analysis methods (AHP and FAHP) and programming in MATLAB environment with the help of Evalfis function to study and map these hazards in the southwest of Iran has acted as a case study.Studies of lithological layers, slope, distance from fault and distance from waterway in both methods express very good and significant results in predicting this type of hazards.According to these results, the most hazards occur in places that have evaporitic lithology and have the shortest distance from waterways and faults with a slope between 20 to 70 degrees.The output of these studies is to provide a map of subsidence (sinkhole) hazards for the first time by integrating the stated methods with operational accuracy above 90% and introducing a very useful software in MATLAB program for experts.