Statistical Challenges in Monitoring and Modeling Agricultural Diffuse Pollutions
Hao Zhang
Statistics, Purdue University

Agriculture pollutions affect over 70% rivers in the US. One way to reduce the pollution is to employ environmentally friendly farm management such as ecological intensification and precision agriculture. The evaluation of the effectiveness of the farm management presents some challenges. First, data for diffused pollution sources are scarce and insufficient. Second, different spatial scales are involved. This talk will discuss statistical approaches to addressing these challenges.

Keywords: Agriculture pollution; Diffused pollution sources; Spatial data; Spatial scale

Biography: Hao Zhang is Professor of Statistics and Forestry and Natural Resources at Purdue University, USA and an elected member of ISI. His research interests are focused on the theory and application of spatial statistics. He works closely with scientists in agricultural and environmental sciences.