[{"publisher":"MDPI AG","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>"}],"type":"scientific_journal_article","article_number":"195","date_created":"2026-09-25T09:44:15Z","author":[{"full_name":"Pilar von Pilchau, Katharina","first_name":"Katharina","last_name":"Pilar von Pilchau","id":"85294"},{"full_name":"Mudersbach, Christoph","first_name":"Christoph","last_name":"Mudersbach"},{"last_name":"Nehren","first_name":"Udo","full_name":"Nehren, Udo"},{"id":"11145","last_name":"Maas","first_name":"Klaus","full_name":"Maas, Klaus"}],"date_updated":"2026-09-25T12:51:56Z","doi":"10.3390/hydrology13070195","department":[{"_id":"DEP8000"},{"_id":"DEP8018"}],"keyword":["climate adaptation","dominant runoff process","geographic information systems (GIS)","natural water retention measures (NWRMs)","spatial prioritization","decision support"],"intvolume":"        13","issue":"7","year":"2026","_id":"14059","place":"Basel","citation":{"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>.","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>","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>.","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>, .","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>.","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","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.","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>.","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).","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).","short":"K. Pilar von Pilchau, C. Mudersbach, U. Nehren, K. Maas, Hydrology 13 (2026)."},"user_id":"83781","publication_status":"published","volume":13,"status":"public","publication":"Hydrology","title":"Prioritizing Small-Scale Water Retention Measures Through Spatial Differentiation of Dominant Runoff Processes","publication_identifier":{"issn":["2306-5338"]},"language":[{"iso":"eng"}]},{"publication_status":"published","volume":8700,"page":"275","citation":{"mla":"Holzinger, Andreas, et al., editors. <i>Smart Health: Open Problems and Future Challenges</i>. Springer, 2015, <a href=\"https://doi.org/10.1007/978-3-319-16226-3\">https://doi.org/10.1007/978-3-319-16226-3</a>.","apa":"Holzinger, A., Röcker, C., &#38; Ziefle, M. (Eds.). (2015). <i>Smart Health: Open Problems and Future Challenges</i> (Vol. 8700). Springer. <a href=\"https://doi.org/10.1007/978-3-319-16226-3\">https://doi.org/10.1007/978-3-319-16226-3</a>","chicago-de":"Holzinger, Andreas, Carsten Röcker und Martina Ziefle, Hrsg. 2015. <i>Smart Health: Open Problems and Future Challenges</i>. Bd. 8700. Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI. Heidelberg: Springer. doi:<a href=\"https://doi.org/10.1007/978-3-319-16226-3\">10.1007/978-3-319-16226-3</a>, .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holzinger, A.</span> ; <span style=\"font-variant:small-caps;\">Röcker, C.</span> ; <span style=\"font-variant:small-caps;\">Ziefle, M.</span> (Hrsg.): <i>Smart Health: Open Problems and Future Challenges</i>, <i>Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI</i>. Bd. 8700. Heidelberg : Springer, 2015","bjps":"<b>Holzinger A, Röcker C and Ziefle M (eds)</b> (2015) <i>Smart Health: Open Problems and Future Challenges</i>. Heidelberg: Springer.","van":"Holzinger A, Röcker C, Ziefle M, editors. Smart Health: Open Problems and Future Challenges. Heidelberg: Springer; 2015. 275 p. (Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI; vol. 8700).","ieee":"A. Holzinger, C. Röcker, and M. Ziefle, Eds., <i>Smart Health: Open Problems and Future Challenges</i>, vol. 8700. Heidelberg: Springer, 2015. doi: <a href=\"https://doi.org/10.1007/978-3-319-16226-3\">10.1007/978-3-319-16226-3</a>.","short":"A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and Future Challenges, Springer, Heidelberg, 2015.","havard":"A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and Future Challenges, Springer, Heidelberg, 2015.","ufg":"<i>Holzinger, Andreas</i>/<i>Röcker, Carsten</i>/<i>Ziefle, Martina</i>: Smart Health: Open Problems and Future Challenges, Bd. 8700, Heidelberg 2015 (Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI).","chicago":"Holzinger, Andreas, Carsten Röcker, and Martina Ziefle, eds. <i>Smart Health: Open Problems and Future Challenges</i>. Vol. 8700. Lecture Notes in Computer Science /  Information Systems and Applications, Incl. Internet/Web, and HCI. Heidelberg: Springer, 2015. <a href=\"https://doi.org/10.1007/978-3-319-16226-3\">https://doi.org/10.1007/978-3-319-16226-3</a>.","ama":"Holzinger A, Röcker C, Ziefle M, eds. <i>Smart Health: Open Problems and Future Challenges</i>. Vol 8700. Springer; 2015. doi:<a href=\"https://doi.org/10.1007/978-3-319-16226-3\">10.1007/978-3-319-16226-3</a>"},"place":"Heidelberg","user_id":"89807","language":[{"iso":"eng"}],"oa":"1","status":"public","publication_identifier":{"isbn":["978-3-319-16225-6"],"issn":["0302-9743"],"eissn":["1611-3349"],"eisbn":["978-3-319-16226-3"]},"title":"Smart Health: Open Problems and Future Challenges","editor":[{"first_name":"Andreas","last_name":"Holzinger","full_name":"Holzinger, Andreas"},{"id":"61525","full_name":"Röcker, Carsten","first_name":"Carsten","last_name":"Röcker"},{"full_name":"Ziefle, Martina","last_name":"Ziefle","first_name":"Martina"}],"date_updated":"2026-07-07T07:42:56Z","main_file_link":[{"open_access":"1","url":"http://www.springerlink.com/content/978-3-319-16226-3 "}],"doi":"10.1007/978-3-319-16226-3","publisher":"Springer","abstract":[{"text":"Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems.\r\n\r\nThe very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning.\r\n\r\nThe papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.","lang":"eng"}],"type":"book_editor","date_created":"2021-01-08T12:03:52Z","series_title":"Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI","year":"2015","_id":"4336","department":[{"_id":"DEP5023"},{"_id":"DEP5027"}],"keyword":["HCI","ambient assisted living","big data","computational intelligence","context awareness","data centric medicine","decision support","interactive data mining","keyword detection","knoweldge bases","knoweldge discovery","machine learning","medical decision support","medical informatics","natural language processing","pervasive health","smart home","ubiquitous computing","visualization","wearable sensors"],"intvolume":"      8700"}]