Optimization of environmental additional sampling using spatial simulated annealing in Sepahan-Shahr area.

Subject Areas :

Saeed Soltani ¹ , Maliheh Abbaszadeh ² , Ardeshir Hezarkhani ³

1 - استادیار گروه مهندسی معدن دانشگاه کاشان
2 - دانشجوی دکترای مهندسی اکتشاف معدن دانشگاه صنعتی امیر کبیر
3 - استاد دانشکده مهندسی معدن،متالوژی و نفت دانشگاه صنعتی امیر کبیر

Received: 2016-09-07 Accepted : 2016-09-07 Published : 2010-09-23

Keywords: Optimization, geostatistic, simulated annealing method, environmental sampling,

Abstract :

Optimization of sampling scheme is one of the important and attractive issues for geo-statisticians andgeochemists. So far, various methods have been presented for optimization of sampling location (initial andadditional samples). In this article, it is tried to optimize the location of additional sampling in environmentalstudies of Sepahan-Shahr area, by simulated annealing method. In Sepahan-shahr area, adjacency to pollutantfactor (Irankooh mining area), in addition to the winds blowing whole the year from the side of this mine; haveincreased the pollution potentiality of the area. In this article, it is tried to optimize the location of additionalsampling on the basis of the data obtained from initial samplings. For this purpose, objective function has beendefined as “estimation variance minimization”, and simulated annealing optimization method has been used forsolving this optimization problem. All the codes related with computation of objective function are prepared byMatlab software. Additional sampling proposed by this method will result in reduction of average estimationvariance of the area from 0.34 to 0.22, which is the highest reduction of estimated uncertainty possible to makein the results of 20 additional samples.