Thông tin tài liệu
Thông tin siêu dữ liệu biểu ghi
Trường DC | Giá trị | Ngôn ngữ |
---|---|---|
dc.contributor.author | Claes, N. | vi |
dc.contributor.other | Paige, G.B. | vi |
dc.contributor.other | Grana, D. | vi |
dc.contributor.other | Parsekian, A.D. | vi |
dc.date.accessioned | 2020-12-22T09:39:11Z | - |
dc.date.available | 2020-12-22T09:39:11Z | - |
dc.date.issued | 2020 | - |
dc.identifier.issn | 1539-1663 | vi |
dc.identifier.uri | http://tailieuso.tlu.edu.vn/handle/DHTL/9953 | - |
dc.description.abstract | We assessed four model structures each with three soil types of homogeneous hydrologic properties, two of which were evaluated with and without an anisotropy factor. Wetting front arrival times, derived from time‐lapse electrical resistivity measurements during flood irrigation field experiments, were used to evaluate the different representations of soil profile structures. These data indicated both vertical and lateral preferential flow in the subsurface during flood irrigation. Inclusion of anisotropy in the saturated hydraulic conductivity field improved the ability to model subsurface hydrologic behavior when flow processes shifted from uniform to heterogeneous flow, as occurs with lateral subsurface return flow under flood irrigation driven by a large pressure gradient. This reduced the need for detailed spatial discretization to represent these observed subsurface flow processes. The resulting simple three‐layer model structure was better able to model both the vertical and lateral flow processes than a more complex geospatial structure, suggesting that overinterpretation of smoothed inverted profiles could lead to misrepresentation of the subsurface structure. | vi |
dc.description.uri | https://acsess.onlinelibrary.wiley.com/doi/10.1002/vzj2.20024 | vi |
dc.language | en | vi |
dc.relation.ispartofseries | Vadose Zone Journal, Volume 18, Issue 1 (2020), pp.1-19 | vi |
dc.subject | Electrical resistivity tomography | vi |
dc.subject | Induced polarization | vi |
dc.subject | Nuclear magnetic resonance | vi |
dc.subject | Ensemble smoother with multiple data assimilation | vi |
dc.title | Parameterization of a hydrologic model with geophysical data to simulate observed subsurface return flow paths | vi |
dc.type | BB | vi |
Trong bộ sưu tập: | Tài liệu mở |
Danh sách tệp tin đính kèm:
Hiện tại không có tệp tin đính kèm tới tài liệu.
Bạn đọc là cán bộ, giáo viên, sinh viên của Trường Đại học Thuỷ Lợi cần đăng nhập để Xem trực tuyến/Tải về
Khi sử dụng tài liệu trong thư viện số bạn đọc phải tuân thủ đầy đủ luật bản quyền.