Improving runoff prediction using agronomical information in a cropped, loess covered catchment-Reference-Cited by-同舟云学术

Improving runoff prediction using agronomical information in a cropped, loess covered catchment

Published:2017-02-10 Issue:6 Volume:31 Page:1408-1423
ISSN:0885-6087
Container-title:Hydrological Processes
language:en
Short-container-title:Hydrol. Process.

Author:

Lefrancq Marie¹,Van Dijk Paul²,Jetten Victor³,Schwob Matthieu¹,Payraudeau Sylvain¹^ORCID

Affiliation:

1. Laboratory of Hydrology and Geochemistry of Strasbourg (LHyGeS); University of Strasbourg/ENGEES; CNRS, 1 rue Blessig F-67084 Strasbourg CEDEX France

2. Association pour la Relance Agronomique en Alsace (ARAA); 2 rue de Rome 67300 Schiltigheim France

3. Faculty of Geo-Information Science and Earth Observation ITC; University of Twente; Enschede The Netherlands

Publisher

Wiley

Subject

Water Science and Technology

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