Solute transport modeling using non-parametric geostatistical method

碩士 === 國立成功大學 === 資源工程學系 === 104 === Hydrogeology field investigation is the preliminary work for modeling the transmission of contaminant and analyzing the attribution of responsibility. Reconstruction of the heterogeneous field can help to clarify the movement of contaminant in groundwater. Previo...

Full description

Bibliographic Details
Main Authors: Tzu-PinChien, 簡子彬
Other Authors: Kuo-Chin Hsu
Format: Others
Language:en_US
Published: 2016
Online Access:http://ndltd.ncl.edu.tw/handle/39998123182106997713
id ndltd-TW-104NCKU5397024
record_format oai_dc
spelling ndltd-TW-104NCKU53970242017-10-29T04:35:11Z http://ndltd.ncl.edu.tw/handle/39998123182106997713 Solute transport modeling using non-parametric geostatistical method 無母數地質統計法於溶質傳輸模擬之應用 Tzu-PinChien 簡子彬 碩士 國立成功大學 資源工程學系 104 Hydrogeology field investigation is the preliminary work for modeling the transmission of contaminant and analyzing the attribution of responsibility. Reconstruction of the heterogeneous field can help to clarify the movement of contaminant in groundwater. Previous studies indicate that in situ hydrogeology may show highly heterogeneous and the behavior of solute transport is much different from that of homogeneous field. Due to hydraulic test and laboratory experiments are expensive and time consuming, samples of hydraulic conductivity are sparse to describe the heterogeneous field. This study uses lithifacies, which is abundant and is indirectly related to the property of hydraulic conductivity. Indicator kriging, a non-parametric geostastical method, is used to interpolate the category data and build heterogeneous field for the solute transport modeling. The results indicate that if data is sufficient, indicator kriging with stratified sampling data is effectively reconstruct the high heterogeneous distribution of hydraulic conductivity. When the variance of hydraulic conductivity is close to 1, the indicator field produced by indicator kriging can well represent the results of flow and solute transport modeling in the true field. When variance comes to 5.21, indicator kriging still represent the result of flow modeling and the distribution of spatial variable, the result of solute transport modeling in indicator kriging field has some difference from the result in true field. Kuo-Chin Hsu 徐國錦 2016 學位論文 ; thesis 79 en_US
collection NDLTD
language en_US
format Others
sources NDLTD
description 碩士 === 國立成功大學 === 資源工程學系 === 104 === Hydrogeology field investigation is the preliminary work for modeling the transmission of contaminant and analyzing the attribution of responsibility. Reconstruction of the heterogeneous field can help to clarify the movement of contaminant in groundwater. Previous studies indicate that in situ hydrogeology may show highly heterogeneous and the behavior of solute transport is much different from that of homogeneous field. Due to hydraulic test and laboratory experiments are expensive and time consuming, samples of hydraulic conductivity are sparse to describe the heterogeneous field. This study uses lithifacies, which is abundant and is indirectly related to the property of hydraulic conductivity. Indicator kriging, a non-parametric geostastical method, is used to interpolate the category data and build heterogeneous field for the solute transport modeling. The results indicate that if data is sufficient, indicator kriging with stratified sampling data is effectively reconstruct the high heterogeneous distribution of hydraulic conductivity. When the variance of hydraulic conductivity is close to 1, the indicator field produced by indicator kriging can well represent the results of flow and solute transport modeling in the true field. When variance comes to 5.21, indicator kriging still represent the result of flow modeling and the distribution of spatial variable, the result of solute transport modeling in indicator kriging field has some difference from the result in true field.
author2 Kuo-Chin Hsu
author_facet Kuo-Chin Hsu
Tzu-PinChien
簡子彬
author Tzu-PinChien
簡子彬
spellingShingle Tzu-PinChien
簡子彬
Solute transport modeling using non-parametric geostatistical method
author_sort Tzu-PinChien
title Solute transport modeling using non-parametric geostatistical method
title_short Solute transport modeling using non-parametric geostatistical method
title_full Solute transport modeling using non-parametric geostatistical method
title_fullStr Solute transport modeling using non-parametric geostatistical method
title_full_unstemmed Solute transport modeling using non-parametric geostatistical method
title_sort solute transport modeling using non-parametric geostatistical method
publishDate 2016
url http://ndltd.ncl.edu.tw/handle/39998123182106997713
work_keys_str_mv AT tzupinchien solutetransportmodelingusingnonparametricgeostatisticalmethod
AT jiǎnzibīn solutetransportmodelingusingnonparametricgeostatisticalmethod
AT tzupinchien wúmǔshùdezhìtǒngjìfǎyúróngzhìchuánshūmónǐzhīyīngyòng
AT jiǎnzibīn wúmǔshùdezhìtǒngjìfǎyúróngzhìchuánshūmónǐzhīyīngyòng
_version_ 1718558156432343040