✦ LIBER ✦

Solute transport modeling in heterogeneous soils: Conjunctive application of physically based and system approaches

✍ Scribed by Clark C.K. Liu

Book ID: 113292232
Publisher: Elsevier Science
Year: 1988
Tongue: English
Weight: 694 KB
Volume: 3
Category: Article
ISSN: 0169-7722
DOI: 10.1016/0169-7722(88)90019-8

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Development of the Fokker-Planck Equatio

Development of the Fokker-Planck Equation and its solutions for modeling transport of conservative and reactive solutes in physically heterogeneous media

✍ Su, Ninghu 📂 Article 📅 1995 🏛 American Geophysical Union 🌐 English ⚖ 805 KB

A model equations of the volume transpor

A model equations of the volume transport of multicomponent and heterogeneous non-ionic solutions in double-membrane system

✍ A. Ślezak 📂 Article 📅 1998 🏛 Springer Netherlands 🌐 English ⚖ 176 KB

Investigation of Transport- and Sorption

Investigation of Transport- and Sorption-Related Factors on the Removal of Hydrophobic Organic Compounds in Heterogeneous Soils Using a Hierarchical Modeling Approach

✍ Yusong Li; Eugene J. LeBoeuf 📂 Article 📅 2009 🏛 Springer Netherlands 🌐 English ⚖ 980 KB

Transport of ions in physically heteroge

Transport of ions in physically heterogeneous systems; convection and diffusion in a column filled with alginate gel beads, predicted by a two-region model

✍ Wendy van Beinum; Johannes C.L. Meeussen; Anthony C. Edwards; Willem H. van Riem 📂 Article 📅 2000 🏛 IWA Publishing 🌐 English ⚖ 318 KB

Equifinality and uncertainty in physical

Equifinality and uncertainty in physically based soil erosion models: application of the GLUE methodology to WEPP–the Water Erosion Prediction Project–for sites in the UK and USA

✍ Richard E. Brazier; Keith J. Beven; Jim Freer; John S. Rowan 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 306 KB 👁 1 views

Despite the wealth of soil erosion models available for the prediction of both runoff and soil loss at a variety of scales, little quantification is made of uncertainty and error associated with model output. This in part reflects the need to produce unequivocal or optimal results for the end user,