{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,28]],"date-time":"2026-02-28T07:01:24Z","timestamp":1772262084796,"version":"3.50.1"},"reference-count":39,"publisher":"Copernicus GmbH","issue":"4","license":[{"start":{"date-parts":[[2020,4,7]],"date-time":"2020-04-07T00:00:00Z","timestamp":1586217600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Nat. Hazards Earth Syst. Sci."],"abstract":"<jats:p>Abstract. The IRIP method, or \u201cindicator of intense pluvial\nrunoff\u201d in English, is a geomatics method that allows mapping the\nsusceptibility of a territory to surface runoff and that provides three\nmaps of susceptibility to the generation, transfer and accumulation of\nrunoff. It is based on the combination of binary maps that represent the\nimpact of a given factor (favourable or not favourable) on runoff. These\nfactors are summed up to provide susceptibility maps for runoff with levels\nranging from 0 to 5. To be used for risk prevention, the quality and\nlimitations of the produced maps must be assessed. However, direct runoff\ndata are very scarce and not available everywhere in a territory. Proxy data\nof impacts related to runoff can provide information useful for the\nevaluation of the IRIP maps. However, both pieces of information cannot be compared\ndirectly, and a specific methodology to compare susceptibility maps and proxy data must be proposed. This paper presents such a method, which accounts for\nthe hazard level, the vulnerability of the study area and possible\nmitigation actions taken to reduce the risk. The evaluation method is\nassessed using a comprehensive database of runoff-related impacts collected\non an 80\u2009km railway line in Normandy (north of France) and covering the\nwhole 20th century. The results show that the evaluation method is\nrobust, relevant and generic enough for evaluating a non-quantitative\nmethod of runoff hazard mapping using localized runoff-related proxy data.\nIn addition, the good performance of the IRIP model in the case study\nconfirms that the susceptibility maps produced by the IRIP model provide\nrelevant information related to runoff and that they can be used to design\nrisk management strategies, as illustrated in the railway context.<\/jats:p>","DOI":"10.5194\/nhess-20-947-2020","type":"journal-article","created":{"date-parts":[[2020,4,7]],"date-time":"2020-04-07T03:03:06Z","timestamp":1586228586000},"page":"947-966","source":"Crossref","is-referenced-by-count":13,"title":["A method to use proxy data of runoff-related impacts for the evaluation of a model mapping intense storm runoff hazard: application to the railway context"],"prefix":"10.5194","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9155-0056","authenticated-orcid":false,"given":"Isabelle","family":"Braud","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lilly-Rose","family":"Lagadec","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lo\u00efc","family":"Moulin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Blandine","family":"Chazelle","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0691-608X","authenticated-orcid":false,"given":"Pascal","family":"Breil","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"3145","published-online":{"date-parts":[[2020,4,7]]},"reference":[{"key":"ref1","doi-asserted-by":"crossref","unstructured":"Beven, K. 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