An Application of Simulated Annealing Algorithm for Soil Sampling Designing
Computer Science & Service System（2012）
摘要
There exist some soil field samples which were accumulated through several historical soil surveys and/or specific field studies, which are mainly data source for predicting spatial variation distribution of soil properties. However, the sample size is usually small and the distribution is ad hoc. Therefore, it is necessary to design additional samples to improve the existing sample set. On the other hand, the follow-up sampling designing scheme should integrate the existing samples for reducing sampling cost. This paper presented a new method which not only can integrate the existing samples but also can improve sampling efficiently by simulated annealing algorithm. In the Laolaihe watershed, Neijiang county, Heilongjiang Province in China, we designed 1, 5, 10, 15 soil samples by simulated annealing algorithm. The case study showed that the soil map produced based on the samples designed by simulated annealing algorithm was more reliable and the samples were much reasonable.
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关键词
follow-up sampling,historical soil surveys,soil field sample size,laolaihe watershed,data source,spatial optimization,follow-up sampling designing scheme,soil sample,sampling cost reduction,china,simulated annealing algorithm,soil sampling designing,simulated annealing algorithm application,neijiang county,existing sample,sampling cost,soil field sample,spatial simulated annealing algorithm,additional sample design,soil property,existing sample set,sampling methods,soil,heilongjiang province,soil property spatial variation distribution prediction,sample set improvement,simulated annealing,historical soil survey,specific field studies,sampling designing scheme,soil map,algorithm design and analysis,graphical models,uncertainty,prediction algorithms
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