Master data

Improving pesticide risk assessment: Prediction and optimal sampling of drift deposition on soil
Description:

The aim of this proposal is to fund apreliminary study about testing spatial interpolation methods and optimal design methodology for pesticide drift deposition on soil surface.

Keywords: optimal design methodology, pesticide drift
Short title: Prediction and optimal sampling of drift
Period: 01.01.2017 - 15.10.2017
Contact e-mail: glenda.garciasantos@aau.at
Homepage: -

Employees

Employees Role Time period
Glenda Garcia-Santos (internal)
  • Project leader
  • Applicant
  • 01.01.2017 - 15.10.2017
  • 01.01.2017 - 15.10.2017
Jürgen Pilz (internal)
  • Applicant
  • 01.01.2017 - 15.10.2017
Albrecht Gebhardt (internal)
  • Cooperation partner
  • 01.01.2017 - 15.10.2017

Categorisation

Project type Current focus of work
Funding type Other
Research type
  • Applied research
Subject areas
  • 207109 - Pollutant emission
  • 1054 - Physical Geography
  • 101018 - Statistics
  • 401 - Agriculture and Forestry, Fishery
Research Cluster
  • Sustainability
  • Public Health
Gender aspects 40%
Project focus
  • Science to Science (Quality indicator: n.a.)
Classification raster of the assigned organisational units:
working groups
  • Ecohydrology

Funding

No available funding programs

Cooperations

No partner organisations selected