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

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10501 - Hydrology

Project

<a href="/en/project/GA17-16389S" target="_blank" >GA17-16389S: Hydrological estimates from radiowave propagation in terrestial microwave network</a><br>

Continuities

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

Publication year

2019

Confidentiality

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

Name of the periodical

Journal of Environmental Management

ISSN

0301-4797

e-ISSN

1095-8630

Volume of the periodical

251

Issue of the periodical within the volume

December

Country of publishing house

NL - THE KINGDOM OF THE NETHERLANDS

Number of pages

11

Pages from-to

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UT code for WoS article

000494052300012

EID of the result in the Scopus database

2-s2.0-85072252665