Scioto Township pollen forecast — Southern Point neighborhood

On 9 August 2026, overall pollen levels in Scioto Township are moderate. Ambrosia is the main contributor to airborne pollen

On 10 August 2026, pollen conditions in Scioto Township will be different from today, with ambrosia continuing to decline

According to the five-day outlook, ambrosia, artemisia, and grass pollen levels will increase later in the week.

On 9 August 2026, Ambrosia is the dominant pollen source in Scioto Township. artemisia, cypress, and grass are not currently active.

The waterside hazel and willow are consistently first to release pollen each year, reaching its high point sometime in late winter or early spring. Woodland oak and birch pick up the pace next, through mid-to-late spring, peaking in the heart of spring, generally April into May. Late spring brings rising grass pollen that crests in June, with ragweed climbing to its own high point from mid-August through October.

The Scioto Township 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 Scioto Township, 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.