Spatial variability of conductivity as applied to distributed parameter infiltration models Export

@article{Shin:1998, abstract = {Two infiltration models, called VVSIM (variable variance stochastic infiltration model) and EVVSIM (enhanced variable variance stochastic infiltration model), are developed in this study. A distributed parameter infiltration model can estimate the amount of infiltration over a field area by computing the infiltration over zones of the field area. Hydraulic conductivity is the most important parameter determining infiltration in simulations by infiltration models. The performance of an infiltration model depends on how well the model accommodates the complicated spatial distribution of hydraulic conductivity. The two proposed models include the effects of spatial correlation of the conductivity distribution. Virtual conductivity fields are generated using the turning bands method. Monte Carlo simulations show that the proposed models give infiltration estimates more accurate than those obtained by the other models employed.}, author = {Shin, D. and Lee, K. K. and Kim, J. W.}, citeulike-article-id = {774737}, journal = {JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION}, keywords = {hydrology, scale, stochastic}, number = {3}, pages = {545--558}, posted-at = {2006-07-26 15:17:01}, priority = {5}, title = {Spatial variability of conductivity as applied to distributed parameter infiltration models}, volume = {34}, year = {1998} }

TY - JOUR ID - Shin:1998 L3 - citeulike-article-id:774737 N2 - Two infiltration models, called VVSIM (variable variance stochastic infiltration model) and EVVSIM (enhanced variable variance stochastic infiltration model), are developed in this study. A distributed parameter infiltration model can estimate the amount of infiltration over a field area by computing the infiltration over zones of the field area. Hydraulic conductivity is the most important parameter determining infiltration in simulations by infiltration models. The performance of an infiltration model depends on how well the model accommodates the complicated spatial distribution of hydraulic conductivity. The two proposed models include the effects of spatial correlation of the conductivity distribution. Virtual conductivity fields are generated using the turning bands method. Monte Carlo simulations show that the proposed models give infiltration estimates more accurate than those obtained by the other models employed. IS - 3 JF - JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION EP - 558 TI - Spatial variability of conductivity as applied to distributed parameter infiltration models VL - 34 SP - 545 KW - hydrology KW - scale KW - stochastic AU - Shin, D AU - Lee, KK AU - Kim, JW PY - 1998/// ER -