---
_id: '14059'
abstract:
- lang: eng
  text: '<jats:p>In order to mitigate the negative effects of heavy rainfall events,
    natural water retention measures (NWRM)—such as hedges, erosion control strips,
    vegetated drainage channels, wooded strips, retention basins and ditch pockets—have
    gained renewed attention as an effective climate adaptation strategy. To identify
    potential areas for NWRM, this study applied and methodologically expanded an
    existing approach for identifying dominant runoff processes (DRPs) to an agricultural
    sub-catchment in the Weserbergland region of Germany. The DRP were determined
    using a Geographic Information System (GIS) and validated through field surveys.
    Potential areas for water retention within the same runoff process classes were
    identified for three defined objectives: improving infiltration, extending flow
    paths, and redirecting runoff to surrounding areas. Spatial differentiation was
    achieved using accumulated catchment area and overland flow distance. The watershed
    is predominantly characterized by surface runoff (Hortonian Overland Flow). Field
    validation confirmed the DRP classification for around two-thirds of the study
    area, with deviations occurring predominantly on arable land. Supplementing the
    DRP approach with a topographic analysis allowed for further differentiation,
    focusing on small, topographically defined sub-watersheds. The identified areas
    offer significant potential for interventions. Combined with supplementary data,
    analyses of the water network and the involvement of local stakeholders, the resulting
    potential map provides a solid basis for planning smaller-scale water retention
    measures.</jats:p>'
article_number: '195'
author:
- first_name: Katharina
  full_name: Pilar von Pilchau, Katharina
  id: '85294'
  last_name: Pilar von Pilchau
- first_name: Christoph
  full_name: Mudersbach, Christoph
  last_name: Mudersbach
- first_name: Udo
  full_name: Nehren, Udo
  last_name: Nehren
- first_name: Klaus
  full_name: Maas, Klaus
  id: '11145'
  last_name: Maas
citation:
  ama: Pilar von Pilchau K, Mudersbach C, Nehren U, Maas K. Prioritizing Small-Scale
    Water Retention Measures Through Spatial Differentiation of Dominant Runoff Processes.
    <i>Hydrology</i>. 2026;13(7). doi:<a href="https://doi.org/10.3390/hydrology13070195">10.3390/hydrology13070195</a>
  apa: Pilar von Pilchau, K., Mudersbach, C., Nehren, U., &#38; Maas, K. (2026). Prioritizing
    Small-Scale Water Retention Measures Through Spatial Differentiation of Dominant
    Runoff Processes. <i>Hydrology</i>, <i>13</i>(7), Article 195. <a href="https://doi.org/10.3390/hydrology13070195">https://doi.org/10.3390/hydrology13070195</a>
  bjps: <b>Pilar von Pilchau K <i>et al.</i></b> (2026) Prioritizing Small-Scale Water
    Retention Measures Through Spatial Differentiation of Dominant Runoff Processes.
    <i>Hydrology</i> <b>13</b>.
  chicago: Pilar von Pilchau, Katharina, Christoph Mudersbach, Udo Nehren, and Klaus
    Maas. “Prioritizing Small-Scale Water Retention Measures Through Spatial Differentiation
    of Dominant Runoff Processes.” <i>Hydrology</i> 13, no. 7 (2026). <a href="https://doi.org/10.3390/hydrology13070195">https://doi.org/10.3390/hydrology13070195</a>.
  chicago-de: Pilar von Pilchau, Katharina, Christoph Mudersbach, Udo Nehren und Klaus
    Maas. 2026. Prioritizing Small-Scale Water Retention Measures Through Spatial
    Differentiation of Dominant Runoff Processes. <i>Hydrology</i> 13, Nr. 7. doi:<a
    href="https://doi.org/10.3390/hydrology13070195">10.3390/hydrology13070195</a>,
    .
  din1505-2-1: '<span style="font-variant:small-caps;">Pilar von Pilchau, Katharina</span>
    ; <span style="font-variant:small-caps;">Mudersbach, Christoph</span> ; <span
    style="font-variant:small-caps;">Nehren, Udo</span> ; <span style="font-variant:small-caps;">Maas,
    Klaus</span>: Prioritizing Small-Scale Water Retention Measures Through Spatial
    Differentiation of Dominant Runoff Processes. In: <i>Hydrology</i> Bd. 13. Basel,
    MDPI AG (2026), Nr. 7'
  havard: K. Pilar von Pilchau, C. Mudersbach, U. Nehren, K. Maas, Prioritizing Small-Scale
    Water Retention Measures Through Spatial Differentiation of Dominant Runoff Processes,
    Hydrology. 13 (2026).
  ieee: 'K. Pilar von Pilchau, C. Mudersbach, U. Nehren, and K. Maas, “Prioritizing
    Small-Scale Water Retention Measures Through Spatial Differentiation of Dominant
    Runoff Processes,” <i>Hydrology</i>, vol. 13, no. 7, Art. no. 195, 2026, doi:
    <a href="https://doi.org/10.3390/hydrology13070195">10.3390/hydrology13070195</a>.'
  mla: Pilar von Pilchau, Katharina, et al. “Prioritizing Small-Scale Water Retention
    Measures Through Spatial Differentiation of Dominant Runoff Processes.” <i>Hydrology</i>,
    vol. 13, no. 7, 195, 2026, <a href="https://doi.org/10.3390/hydrology13070195">https://doi.org/10.3390/hydrology13070195</a>.
  short: K. Pilar von Pilchau, C. Mudersbach, U. Nehren, K. Maas, Hydrology 13 (2026).
  ufg: '<b>Pilar von Pilchau, Katharina u. a.</b>: Prioritizing Small-Scale Water
    Retention Measures Through Spatial Differentiation of Dominant Runoff Processes,
    in: <i>Hydrology</i> 13 (2026), H. 7.'
  van: Pilar von Pilchau K, Mudersbach C, Nehren U, Maas K. Prioritizing Small-Scale
    Water Retention Measures Through Spatial Differentiation of Dominant Runoff Processes.
    Hydrology. 2026;13(7).
date_created: 2026-09-25T09:44:15Z
date_updated: 2026-09-25T12:51:56Z
department:
- _id: DEP8000
- _id: DEP8018
doi: 10.3390/hydrology13070195
intvolume: '        13'
issue: '7'
keyword:
- climate adaptation
- dominant runoff process
- geographic information systems (GIS)
- natural water retention measures (NWRMs)
- spatial prioritization
- decision support
language:
- iso: eng
place: Basel
publication: Hydrology
publication_identifier:
  issn:
  - 2306-5338
publication_status: published
publisher: MDPI AG
status: public
title: Prioritizing Small-Scale Water Retention Measures Through Spatial Differentiation
  of Dominant Runoff Processes
type: scientific_journal_article
user_id: '83781'
volume: 13
year: '2026'
...