San Donà di Piave pollen forecast - today, tomorrow and the week ahead

On 16 July 2026, overall pollen levels in San Donà di Piave are moderate. Grass is the main contributor to airborne pollen

On 17 July 2026, pollen conditions in San Donà di Piave will be similar to today, with grass at medium levels

According to the five-day outlook, grass pollen levels are expected to gradually decrease, while artemisia pollen will increase, suggesting mixed conditions later in the week.

On 16 July 2026, Grass is the dominant pollen source in San Donà di Piave. artemisia, birch, hazel, cypress, willow, and alder are not currently active.

San Donà di Piave typically sees hazel and alder arrive first, followed by a plane and olive peak that defines the heart of the season, with grass extending things further; January through August in total. a typically dry summer means late-season exposure stays low, something the Veneto climate here reinforces.

The San Donà di Piave pollen forecast is updated four times daily. See the timestamp below for the most recent update.

Studies show that most pollen exposure (often 70–90%) comes from nearby sources, such as local trees and vegetation. A good pollen forecast therefore depends on accurately representing local vegetation. Pollen can travel long distances, but this usually matters only early in the season or during specific wind events.

Pollen data is often misunderstood. Most "pollen levels" are not real-time measurements, but forecasts.

Direct pollen measurements are typically delayed by 1-2 days because they require manual analysis. To show current conditions in San Donà di Piave, modern forecasts combine recent measurements, weather data, and information about local vegetation.

This allows us to estimate pollen levels for today and the coming days, not just report the past.

Airmine’s atmospheric monitoring platform was developed with support from the European Space Agency (ESA)’s Business Applications and Space Solutions (BASS) team, using satellite and Earth observation technologies to improve emissions monitoring.