Font Size: a A A

Temporal-spatial Optimum Estimation Of The Variables In The Groundwater Contamination Transport Simulation

Posted on:2007-10-20Degree:MasterType:Thesis
Country:ChinaCandidate:L H LvFull Text:PDF
GTID:2121360185981316Subject:Ecology
Abstract/Summary:PDF Full Text Request
How to use and protect the groundwater source has been causing social attention widely with the freshwater being in short day by day. The imitation and prediction of the water quality and flow is an important indispensable process in the assessment and protection task of groundwater. Limited by the storage and operation of the groundwater and the physical condition, we can usually get narrow results when monitoring. So we need to estimate the spatial distribution characters of the groundwater pollutants migration parameters of the unknown points with help of the information of those known points. The groundwater pollutants migration parameters have dual attributes of designability and randomicity. The ordinary kriging (OK) method, a linear unbiased optimal space-time estimation method, is the optimal estimation method to study the variable. The estimation accuracy is often lowed because the short of known information in the actual work. It is very important to elevate the estimation accuracy of OK by other known information of variables to be estimated.The groundwater environmental monitoring data often has both temporal and spatial information. The temporal-spatial cokriging (CK) method can elevate the estimation accuracy when the temporal information used as replenishment.The findings get such conclusions as follows: at other times, the estimation effect of CK keeps balance with OK when only temporal information of estimated points but points to be estimated have been got, the estimation effect cannot be improved whether points to be estimated more or less; the estimation effect can be improved obviously when all temporal information of points to be estimated has been got on condition its space distribution is similar with moments being studied, CK can describe spatial variation trends of the points to be estimated at this point; the estimation effect can also be improved under certain conditions when temporal information of points to be estimated has been got partly if space distribution of the coordinated information is similar with moments being studied; the most important factor to decide the estimation accuracy is the spatial configuration ,not...
Keywords/Search Tags:groundwater, temporal-spatial optimum estimation, ordinary kriging, cokriging
PDF Full Text Request
Related items