Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) IV: Model sensitivity to data aggregation and spatial (re-)distribution

Bormann, Helge; Breuer, Lutz; Gräff, Thomas; Huisman, Johan Alexander; Croke, Barry

doi:10.1016/j.advwatres.2008.01.002

Cited by 58 publications

(37 citation statements)

References 36 publications

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“…Only the application of the CORINE land use map clearly leads to less evapotranspiration because there is a higher percentage of the arable land use class (Figure 3) and the water withdrawal values deviate further from the zero variant. This matches the results of Bormann et al [14] showing that accuracy of land use data sets is more important than a high spatial resolution. Branger et al [40] also conclude that land use maps should be selected and processed with care and with specific respect to the objectives of a study.…”

Section: Discussionsupporting

confidence: 81%

Effects of Data and Model Simplification on the Results of a Wetland Water Resource Management Model

Dietrich

Schweigert

Steidl

et al. 2016

Water

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This paper presents the development of a wetland water balance model for use in a large river basin with many different wetlands. The basic model was primarily developed for a single wetland with a complex water management system involving large amounts of specialized input data and water management details. The aim was to simplify the model structure and to use only commonly available data as input for the model, with the least possible loss of accuracy. Results from different variants of the model and data adaptation were tested against results from a detailed model. This shows that using commonly available data and unifying and simplifying the input data is tolerable up to a certain level. The simplification of the model has greater effects on the evaluated water balance components than the data adaptation. Because this simplification was necessary for large-scale use, we suggest that, for reasons of comparability, simpler models should always be applied with uniform data bases for large regions, though these should only be moderately simplified. Further, we recommend using these simplified models only for large-scale comparisons and using more specific, detailed models for investigations on smaller scales.

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Section: Discussionsupporting

confidence: 81%

Effects of Data and Model Simplification on the Results of a Wetland Water Resource Management Model

Dietrich

Schweigert

Steidl

et al. 2016

Water

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“…In most cases, land use and/or management change are simultaneously evaluated (e.g. Fohrer et al, 2001;Srivastava et al, 2002;Souchère et al, 2005;Bormann et al, 2008). Nevertheless, there is some indication that decreasing field sizes and hence increasing patchiness reduce surface runoff (Fohrer et al, 2005;Bormann et al, 2007), although the opposite can also be true.…”

Section: Effects Of Field Sizementioning

confidence: 95%

Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—A review

Fiener

Auerswald

Oost

2011

Earth-Science Reviews

123

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a b s t r a c t a r t i c l e i n f oSurface runoff and associated erosion processes adversely affect soil and surface water quality. There is increasing evidence that a sound understanding of spatial-temporal dynamics of land use and management are crucial to understanding surface runoff processes and underpinning mitigation strategies. In this review, we synthesise the effects of (1) temporal patterns of land management of individual fields, and (2) spatio-temporal interaction of several fields within catchments by applying semivariance analysis, which allows the extent and range of the different patterns to be compared. Consistent effects of management on the temporal dynamics of surface runoff of individual fields can be identified, some of which have been incorporated into small-scale hydrological models. In contrast, the effects of patchiness, the spatial organisation of patches with different soil hydrological properties, and the effects of linear landscape structures are less well understood and are rarely incorporated in models. The main challenge for quantifying these effects arises from temporal changes within individual patches, where the largest contrasts usually occur in mid-summer and cause a seasonally varying effect of patchiness on the overall catchment response. Some studies indicate that increasing agricultural patchiness, due to decreasing field sizes, reduces the catchment-scale response to rainfall, especially in cases of Hortonian runoff. Linear structures associated with patchiness of fields (e.g. field borders, ditches, and ephemeral gullies) may either increase or decrease the hydraulic connectivity within a catchment. The largest gap in research relates to the effects and temporal variation of patch interaction, the influence of the spatial organisation of patches and the interaction with linear structures. In view of the substantial changes in the structure of agricultural landscapes occurring throughout the world, it is necessary to improve our knowledge of the influence of patchiness and connectivity, and to implement this knowledge in new modelling tools.

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“…Most semi-distributed models, or at least part of their hydro-biogeochemical process descriptions, are sensitive to the size of sub-catchments and the number of HRUs (Chen & Mackay, 2004), or to data aggregation (FitzHugh & Mackay, 2000;Chaplot, 2005;Chaplot et al, 2005;Bormann et al, 2008). As all hydro-biogeochemical models are calibrated to some baseline conditions prior to the scenario application, one has to take care that the spatial resolution of input data remains stable in the course of scenario predictions.…”

Section: A Blueprint For Model Selectionmentioning

confidence: 99%

Current concepts in nitrogen dynamics for mesoscale catchments

Vaché

Jülich

Frede

2008

Hydrological Sciences Journal

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The study of global change impacts on nitrogen dynamics in mesoscale catchments remains an important topic. The primary mechanisms of change can be grouped broadly into those focused on land management, land use, climatic change, as well as on N deposition patterns. The current state of mesoscale studies of N dynamics is outlined in an effort to present the potential tools and methods available to researchers, as well as to outline future directions for additional research. This review focuses on a comparison of the common model approaches that are used to simulate the N cycle in catchments. The review is not meant as an exhaustive list of all models that might include N cycling, but instead outlines a classification framework as a means of better understanding key differences between common modelling strategies. We conclude with a blueprint of what hydro-biogeochemical models should be capable of, and which additional efforts should be considered in the course of model development and verification.Key words agriculture; mesoscale; modelling; nitrogen; process description; spatial resolution Concepts actuels relatifs à la dynamique de l'azote dans les bassins versants de méso-échelleRésumé L'étude des impacts du changement global sur la dynamique de l'azote dans les bassins versants de méso-échelle reste un sujet important. Les principaux mécanismes de changement relèvent globalement de la gestion du territoire, de l'occupation du sol, du changement climatique et des modalités de dépôt d'azote. L'état actuel des études de la dynamique de l'azote à la méso-échelle est souligné avec une attention particulière pour présenter les outils potentiels et les méthodes disponibles pour les chercheurs, et pour identifier les directions futures pour des recherches complémentaires. Cette revue est focalisée sur une comparaison des approches communes de modélisation qui sont utilisées pour simuler le cycle de l'azote dans les bassins versants. La revue ne prétend pas fournir une liste exhaustive des modèles qui intègrent le cycle de l'azote, mais fournit plutôt un cadre de classification permettant de mieux comprendre les différences clefs qui existent entre les stratégies de modélisation courantes. Nous concluons avec une synthèse de ce que les modèles hydro-biogéochimiques devraient permettre, et des efforts additionnels qui devraient être considérés en termes de développement et de vérification de modèle.

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Assessing the impact of land use change on hydrology by ensemble modelling (LUCHEM) IV: Model sensitivity to data aggregation and spatial (re-)distribution

Cited by 58 publications

References 36 publications

Effects of Data and Model Simplification on the Results of a Wetland Water Resource Management Model

Effects of Data and Model Simplification on the Results of a Wetland Water Resource Management Model

Spatio-temporal patterns in land use and management affecting surface runoff response of agricultural catchments—A review

Current concepts in nitrogen dynamics for mesoscale catchments

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