A new multi‐criteria framework to identify optimal detention ponds in urban drainage systems

Autor: Azadeh Hosseinzadeh, Kourosh Behzadian, Pekka Rossi, Mozhgan Karami, Abdollah Ardeshir, Ali Torabi Haghighi

Publikováno v: Journal of Flood Risk Management, Vol 16, Iss 2, Pp n/a-n/a (2023)

Abstract Urban development broadly impacts the hydrological cycle, leading to increased peak flow and flooding. Surface water detention ponds are among the most efficient measures for attenuating peak flow and returning it from development to pre‐d

Externí odkaz: https://doaj.org/article/66c06af8fec84d96bb27bdb7dbae4a0f

Designing a Satellite-Based Smart Health Water Related Platform for Lake’s Water Quality Monitoring in Nordic Cities

Autor: Amirhossein Ahrari, Ali Torabi Haghighi, Pekka Rossi, Mourad Oussalah

Water Quality Management (WQM) in the 21st century is a growing challenge because of the large number of chemicals used in our everyday lives and industry, which often make their way into our waters outbreaks of waterborne infectious diseases are sti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7bb7a5b56ade811472a09b03d0062081
https://doi.org/10.5194/egusphere-egu22-2819

Thunderstorm hail and lightning detection parameters based on dual-polarization Doppler weather radar data

Autor: Piia Post, Dmitri Moisseev, Tarmo Tanilsoo, Tanel Voormansik, Pekka Rossi

Publikováno v: Meteorological Applications. 24:521-530

Four years (2011–2014) of the summer period (May–September) dual-polarization Doppler C-band weather radar data for Surgavere, Estonia, were examined to determine the best indicator for cloud-to-ground lightning activity. Furthermore, the legacy

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::beb6b414704f7dae519c7c3edeff9c72
https://doi.org/10.1002/met.1652

Analysis of a statistically initialized fuzzy logic scheme for classifying the severity of convective storms in Finland

Autor: Elena Saltikoff, Vesa Hasu, Dmitri Moisseev, Jarmo Koistinen, Pekka Rossi, Antti Mäkelä

Publikováno v: Meteorological Applications. 21:656-674

This paper proposes a method for classifying the severity of individual convective storms with real-time weather radar and lightning location data. The algorithm is based on a statistically initialized fuzzy logic model with human-oriented linguistic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b50135f2f01528f310afcd616a9a4e9b
https://doi.org/10.1002/met.1389

The Daily Cloud-to-Ground Lightning Flash Density in the Contiguous United States and Finland

Autor: David M. Schultz, Pekka Rossi, Antti Mäkelä

Publikováno v: Mäkelä, A, Rossi, P & Schultz, D M 2011, ' The daily cloud-to-ground lightning flash density in the contiguous united states and Finland ', Monthly Weather Review, vol. 139, no. 5, pp. 1323-1337 . https://doi.org/10.1175/2010MWR3517.1

A method is developed to quantify thunderstorm intensity according to cloud-to-ground lightning flashes (hereafter ground flashes) determined by a lightning-location sensor network. The method is based on the ground flash density ND per thunderstorm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8085d7d4b2dc827a23a6738873a28389
https://doi.org/10.1175/2010mwr3517.1