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