SHALLOW GEOTHERMAL ENERGY SUITABILITY ZONING BASED ON FUZZY ANALYTIC HIERARCHY PROCESS-PARTICLE SWARM OPTIMIZATION MODEL

The paper establishes the evaluation model of shallow geothermal energy by fuzzy consistent matrix-based fuzzy analytic hierarchy process(FAHP), integrating the consistency testing and correction of the results into a nonlinear programming problem, using particle swarm optimization(PSO) for optimization solution and getting the weight results that meet the consistency requirements, and then checking the accuracy of index weights through sensitivity analysis to improve the accuracy of ground source heat pump suitability zoning evaluation. By constructing an evaluation system with 4 levels and 9 indicators, the suitability zoning evaluation of shallow geothermal energy in Dalian area is carried out according to the weight values obtained, which provides a research foundation for the shallow geothermal energy resource reserves and potential evaluation, and theoretical basis for its sustainable development and utilization as well. The results show that the suitability zoning model and index weight values are reliable. The suitable area is distributed in Diamond Bay and Donggang district in the east of the study area, with an area of 32.87 km², accounting for 4.45% of the total assessed area, while the less suitable area is distributed in Ganjingzi district in the north, with an area of 247.21 km², accounting for 33.47% of the total assessed area.