Wetland Water-Level Prediction Using ANN in Conjunction with Base-Flow Recession Analysis-Reference-Cited by-同舟云学术

Wetland Water-Level Prediction Using ANN in Conjunction with Base-Flow Recession Analysis

Published:2017-01 Issue:1 Volume:22 Page:
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Rezaeianzadeh Mehdi¹,Kalin Latif²,Anderson Christopher J.³

Affiliation:

1. Ph.D. Student, School of Forestry and Wildlife Sciences, Auburn Univ., 602 Duncan Dr., Auburn, AL 36849.

2. Professor of Forest Hydrology, School of Forestry and Wildlife Sciences, Auburn Univ., 602 Duncan Dr., Auburn, AL 36849 (corresponding author).

3. Associate Professor, School of Forestry and Wildlife Sciences, Auburn Univ., 602 Duncan Dr., Auburn, AL 36849.

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29HE.1943-5584.0001276

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4. Barksdale W. F. (2013). “The effect of land use/land cover on headwater-slope wetlands in Baldwin County Alabama.” M.S. thesis Auburn Univ. Auburn AL.

5. The influence of land use on forest structure, species composition, and soil conditions in headwater-slope wetlands of coastal Alabama, USA;Barksdale W. F.;Int. J. Biodiversity Sci. Ecosyst. Serv. Manage.,2014

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