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An experiment to gauge an ungauged catchment: rapid data assessment and eco-hydrological modelling in a data-scarce rural catchment

  • We conducted a PUB (predictions in ungauged basins) experiment looking at hydrology and crop dynamics in the semi-arid rural Mod catchment in India. The experiment was motivated by the aims (a) to develop a coupled eco-hydrological model capable of analysing land-use strategies concerning crop water need, erosion protection, crop yield and resistivity against droughts and floods, and (b) to assess the feasibility of a strategy for collecting the necessary data in a data-scarce region. Our experiment combines parsimonious data assessment and eco-hydrological model coupling at the lower mesoscale. Linking bottom-up sampling of functionally representative soil classes and top-down regionalization based on spectral properties of the same resulted in a comprehensive distributed data basis for the model. A clear focus on the dominating processes and the catena as the organizing landscape element in the given environmental setting enabled this. We employed the WASA (Water Availability in Semi-Arid environments) model for uncalibratedWe conducted a PUB (predictions in ungauged basins) experiment looking at hydrology and crop dynamics in the semi-arid rural Mod catchment in India. The experiment was motivated by the aims (a) to develop a coupled eco-hydrological model capable of analysing land-use strategies concerning crop water need, erosion protection, crop yield and resistivity against droughts and floods, and (b) to assess the feasibility of a strategy for collecting the necessary data in a data-scarce region. Our experiment combines parsimonious data assessment and eco-hydrological model coupling at the lower mesoscale. Linking bottom-up sampling of functionally representative soil classes and top-down regionalization based on spectral properties of the same resulted in a comprehensive distributed data basis for the model. A clear focus on the dominating processes and the catena as the organizing landscape element in the given environmental setting enabled this. We employed the WASA (Water Availability in Semi-Arid environments) model for uncalibrated process-based water balance modelling and integrated a crop simulation subroutine based on the SWAP (Soil Water Atmosphere Plant) model to account for crop dynamics, feedbacks and yield estimation. While we found the data assessment strategy and the hydrological model application largely feasible, in terms of its accounting for scale, processes and model concepts, the simulation of feedbacks with crops was problematic. Contributing to the PUB issue, more general conclusions are drawn concerning spatially-distributed structural information and uncalibrated modelling. [GRAPHICS] Editor Z.W. Kundzewicz; Associate editor F. Hattermannshow moreshow less

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Metadaten
Author details:Conrad Jackisch, Erwin Zehe, Luis SamaniegoORCiDGND, Anupam K. Singh
DOI:https://doi.org/10.1080/02626667.2013.870662
ISSN:0262-6667
ISSN:2150-3435
Title of parent work (English):Hydrological sciences journal = Journal des sciences hydrologiques
Publisher:Routledge, Taylor & Francis Group
Place of publishing:Abingdon
Publication type:Article
Language:English
Year of first publication:2014
Publication year:2014
Release date:2017/03/26
Tag:Prediction in Ungauged Basins (PUB); eco-hydrological modelling; model coupling; rural; semi-arid
Volume:59
Issue:12
Number of pages:23
First page:2103
Last Page:2125
Funding institution:Heinrich Boll Foundation; German Academic Foundation
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Umweltwissenschaften und Geographie
Peer review:Referiert
Institution name at the time of the publication:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geographie und Geoökologie
Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geoökologie
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