secpho

secpho

Collaborate to innovate

  • Open Innovation Club
  • Contact
  • We are
  • We connect
  • We transform
  • Join our ecosystem
  • Agenda
  • Become a member
  • Esp
  • Eng

UWB radar system for in-situ snow thickness measurement

Technology:
Area: Sustainable agriculture, forests and oceans, Climate action and environment.
SDG: Clean water and sanitation.
Developed by:
#

The challenge was to design a new non-invasive method for the determination of the geometrical (thickness) and dielectric (complex dielectric permittivity) properties of the layered structure of the snowpack.

Snow is a major contributor to the water balance, climate and economy of many regions. This seasonal accumulation process acts as a form of natural regulation that is of utmost importance within the hydrological cycle. In the case of the Ebro river basin, the maximum storage volume in reservoirs is 7,639 hm³ and the maximum average volume of reserves in the form of snow in the last five years has been 1,500/1,600 hm³, which represents 21% of the maximum reserve that can be stored in reservoirs. This means that at the beginning of the hydrological year (October) the planning of crop types is partly conditioned by the reserve stored in the reservoirs and also by the evolution of the snow reserve, which can be considered as another reservoir that can contribute about 20% of the volume.

Since the melting phenomenon is extremely complex, it is very important to evaluate, in real time, the water equivalent stored in the different mountains of the Pyrenean basins. Therefore, the development of sensors such as the one proposed in this project will allow us to improve the quantification of the stored volume.

The project has applied ultra-high bandwidth radar (0.15-6GHz) to measure the thickness and SWE of the snow cover.

A physical knowledge about the properties of this snowpack, and mainly the availability of field instrumentation to investigate, understand and predict snow processes is of vital importance. These measurements provide, in addition to the most basic hydrological information (SWE), the data for the elaboration of mathematical models of the climate, the evolution of the snowpack and the prediction of avalanches. In this project we propose the construction and field testing of an instrument for the analysis of the structure of the snowpack, from which various physical magnitudes can be obtained, and in particular the main one for hydrology: the water equivalent or SWE.

The measurements, in the winter of 2018-2019, are largely coincident with the lightning neutron attenuation (CRN) located next to the radar.

This system could be a potential element to be integrated in the SAIH-Ebro as a snow information system for the estimation of water accumulation in the form of snow and for the adequate management of flood risk, which in some cases has its origin in snowmelt. It is necessary to emphasize that it is of vital importance to have an alternative technology to the one currently used in telenivometers (cosmic rays), since it is an obsolete technology for which spare parts are no longer available.

In addition, the possibility of building the system in small dimensions and at low cost would allow to increase the density of telenivometers and to have, in the same hydrological area, several equipments at different altitudes that would allow us to evaluate the possible volumes and flows that could be contributed to the melting phenomenon depending on the altitude.

Other projects and success stories

SMARTFAB
SMARTFAB
Intelligent and sustainable urban logistics
Intelligent and sustainable urban logistics
BEACON
BEACON
OPTILASER
OPTILASER
SIARA Project
SIARA Project
Sensocell
Sensocell
SMART TEXTILE
SMART TEXTILE
Quantum for Cybersecurity
Quantum for Cybersecurity
DRONSTORE II
DRONSTORE II
HERMES
HERMES
SILICON EYE
SILICON EYE
SPECTROMEAT
SPECTROMEAT
Silicon technology in the fight against Covid-19
Silicon technology in the fight against Covid-19
PROVIDENTIAL
PROVIDENTIAL
Space Giganet
Space Giganet
SECLUREFA
SECLUREFA
TRY FIRST
TRY FIRST
Shape Sensing Project
Shape Sensing Project
AI to predict the performance of organic solar cells
AI to predict the performance of organic solar cells
DEVIFO Project
DEVIFO Project
TRY FIRST COMPACT
TRY FIRST COMPACT
HV INSPECT
HV INSPECT
TRAIN SCS
TRAIN SCS
Hexapods to align photonic components automatically
Hexapods to align photonic components automatically
WATERSENSE
WATERSENSE
PLATFORFUTURE
PLATFORFUTURE
Q LEAF IN VITRO
Q LEAF IN VITRO
Q LEAF PRO
Q LEAF PRO
OPTIENERGY
OPTIENERGY
ECO-PILOT
ECO-PILOT
SEPTIBELL
SEPTIBELL
LOGISDA Project
LOGISDA Project
Intelligent monitoring of containers at the Port of Barcelona
Intelligent monitoring of containers at the Port of Barcelona
AUTODRON
AUTODRON
DRONSTORE
DRONSTORE
LASERCOLEST
LASERCOLEST
Insense Project
Insense Project
CLAUDIT
CLAUDIT
SKINSENS
SKINSENS
Strechbio
Strechbio
Would you like
to get to know us better?
Contact us
Technological innovation?
Subscribe to our newsletter.
We are looking for talent.
Take a look at our job board.

  • Privacy policy
  • Cookies policy
  • Ethics Channel
  • Contact
© secpho 2026 | web: mafsdisseny