BLP approach for the estimation of variogram parameters

Abstract

Variograms of hydrologic characteristics are usually obtained by estimating the experimental variogram for distinct lag classes by commonly used estimators and fitting a suitable function to these estimates. However, these estimators may fail the conditionally positive-definite property and the better results for the statistics of crossvalidation, which are two essential conditions for choosing a valid variogram model. To satisfy these two conditions, a multi-objective bilevel programming estimator (MOBLP) which is based on the process of cross-validation has been developed for better estimate of variogram parameters. This model is illustrated with some rainfall data from Luan River Basin in China. The case study demonstrated that MOBLP is an effective way to achieve a valid variogram model.

The Dynamic Monitoring of Coal Mining Seeper Subsidence District Based on RS and GIS Technology — A Case Study of Huainan City

“…In very long time, the coal resource is still the main energy to China economic development. With the rapid development of coal mining enterprise, the ecological environment of the mining area has been destroyed a lot, the one of which is coal mining subsidence [2]. After coal is mined, the original stress equilibrium of the rock around the mining area is damaged, which causes the subsidence of the overburden rock and surface objects, and the coal mining subsidence area appears.…”