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

Result 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.

Keywords

commercial microwave linksopportunistic sensingrainfall-runoff modellingrainfall monitoringurban catchmentquantitative precipitation estimates

The result's identifiers

Alternative languages

  • 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

  • Czech description

Classification

  • Type

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

  • CEP classification

  • OECD FORD branch

    10501 - Hydrology

Result continuities

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • 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

  • UT code for WoS article

    000494052300012

  • EID of the result in the Scopus database

    2-s2.0-85072252665

Basic information

Result type

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

Jimp

OECD FORD

Hydrology

Year of implementation

2019