The third in a series of four Wisconsin Department of Natural Resources webinars about the ongoing Northeast Wisconsin TMDL study is scheduled for 10 a.m. Thursday (Aug. 6).

A TMDL (total maximum daily load) is the calculation of the maximum amount of a pollutant allowed to enter a waterbody so that the waterbody will meet and continue to meet water quality standards for that particular pollutant.

The DNR is currently conducting a TMDL study of watersheds along the Lake Michigan shoreline, including the Ahnapee, Kewaunee, East Twin and West Twin rivers.

DNR scientists were planning to hold public meetings this spring to go over the results of the TMDL data collection. Because the meetings were canceled because of COVID-19 related concerns over large public gatherings, the information is being disseminated in a series of four webinars. The first one was an overview of the process, and last week’s second webinar provided a summary of the data.

The third webinar, titled “Watershed Model Introduction and Data Inputs,” is intended as an overview of the agency’s “Soil and Water Assessment Tool” (SWAT) and its relation to the development of TMDLs. The program will also review the data that has been input into the present models, including TMDL sub-basins, point sources, permitted urban stormwater areas, and agricultural land use and practices. cialis levitra pharmacy viagra sildenafil chemical reaction help writing custom personal essay on hillary clinton write essay about mobile phones herbal substitutes for viagra can you buy viagra over the counter go here thesis paper examples essay on family unit free assignment help online see follow site introduction research paper essay on bengali culture proofreading verb tense worksheet good thesis writing techniques source site websites to help with homework levitra online espaГ±a follow Thursday’s presentation can be accessed at this link.

Previous presentations:

Webinar 1: TMDL process and introduction to the NE Lakeshore TMDL

Webinar 2: Water quality data and impairments