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Commercial microwave links for urban drainage modelling: The effect of link characteristics and their position on runoff simulations

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21110%2F19%3A00331097" target="_blank" >RIV/68407700:21110/19:00331097 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://doi.org/10.1016/j.jenvman.2019.109522" target="_blank" >https://doi.org/10.1016/j.jenvman.2019.109522</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jenvman.2019.109522" target="_blank" >10.1016/j.jenvman.2019.109522</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Commercial microwave links for urban drainage modelling: The effect of link characteristics and their position on runoff simulations

  • Popis výsledku v původním jazyce

    Rainfall observations are crucial when designing and operating urban drainage systems. However, rainfall data of sufficient quality for urban drainage modelling are often unavailable. Commercial microwave links (CMLs), radio connections widely used in telecommunication networks, can provide path-integrated quantitative precipitation estimates (QPEs) which could conveniently complement traditional precipitation observations. We investigate the suitability of individual CMLs to provide relevant QPEs for rainfall-runoff simulations. We are interested especially in CML characteristics influencing the accuracy of rainfall measurements, and in the effect of the CML position (in relation to the catchment) on the spatial representativeness of the measurements. We work with a 3-year long experimental data set from a small (1.3 km2) urban catchment located in Prague, Czech Republic. We use QPEs from real-world CMLs as inputs for urban rainfall-runoff modelling and we assess the modelling performance by comparing the simulated runoffs with observed stormwater discharges. The results show that the model performance is related both to the CML sensitivity to rainfall and to the CML position. The bias propagated into the runoff predictions is proportional to the CML path length, with the largest errors for the shortest CMLs. The effect of the CML position is especially pronounced during heavy rainfalls, when QPEs from shorter CMLs located within or close-to catchment borders reproduce runoff dynamics better than QPEs from CMLs reaching far outside of the catchment. Adjusting CML QPEs to remote rain gauges substantially reduces their bias. However, the adjusting worsens the ability of the CML QPEs to reproduce runoff dynamics during heavy rainfalls.

  • Název v anglickém jazyce

    Commercial microwave links for urban drainage modelling: The effect of link characteristics and their position on runoff simulations

  • Popis výsledku anglicky

    Rainfall observations are crucial when designing and operating urban drainage systems. However, rainfall data of sufficient quality for urban drainage modelling are often unavailable. Commercial microwave links (CMLs), radio connections widely used in telecommunication networks, can provide path-integrated quantitative precipitation estimates (QPEs) which could conveniently complement traditional precipitation observations. We investigate the suitability of individual CMLs to provide relevant QPEs for rainfall-runoff simulations. We are interested especially in CML characteristics influencing the accuracy of rainfall measurements, and in the effect of the CML position (in relation to the catchment) on the spatial representativeness of the measurements. We work with a 3-year long experimental data set from a small (1.3 km2) urban catchment located in Prague, Czech Republic. We use QPEs from real-world CMLs as inputs for urban rainfall-runoff modelling and we assess the modelling performance by comparing the simulated runoffs with observed stormwater discharges. The results show that the model performance is related both to the CML sensitivity to rainfall and to the CML position. The bias propagated into the runoff predictions is proportional to the CML path length, with the largest errors for the shortest CMLs. The effect of the CML position is especially pronounced during heavy rainfalls, when QPEs from shorter CMLs located within or close-to catchment borders reproduce runoff dynamics better than QPEs from CMLs reaching far outside of the catchment. Adjusting CML QPEs to remote rain gauges substantially reduces their bias. However, the adjusting worsens the ability of the CML QPEs to reproduce runoff dynamics during heavy rainfalls.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10501 - Hydrology

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA17-16389S" target="_blank" >GA17-16389S: Odvození hydrologických veličin z šíření radiových vln v síti pevných mikrovlnných spojů</a><br>

  • Návaznosti

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Ostatní

  • Rok uplatnění

    2019

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Journal of Environmental Management

  • ISSN

    0301-4797

  • e-ISSN

    1095-8630

  • Svazek periodika

    251

  • Číslo periodika v rámci svazku

    December

  • Stát vydavatele periodika

    NL - Nizozemsko

  • Počet stran výsledku

    11

  • Strana od-do

  • Kód UT WoS článku

    000494052300012

  • EID výsledku v databázi Scopus

    2-s2.0-85072252665