EESC13H3 Lecture Notes - Lecture 4: Bank Erosion, Spatial Analysis, Delphi Method

• School: UTSC
• Department: Environmental Science
• Course: EESC13H3
• Professor: Kathy Wallice

Document Summary

Environmental baseline study: (cid:862)a (cid:271)aseli(cid:374)e study (cid:272)o(cid:374)sists of ide(cid:374)tifi(cid:272)atio(cid:374) a(cid:374)d a(cid:374)alysis of (cid:272)o(cid:374)ditio(cid:374)s over spa(cid:272)e a(cid:374)d/or ti(cid:373)e for the purpose of delineating change, trends, patterns, or limits to assist in impact assessment, i(cid:373)pa(cid:272)t evaluatio(cid:374), a(cid:374)d i(cid:373)pa(cid:272)t (cid:373)o(cid:374)itori(cid:374)g a(cid:272)tivities(cid:863). Con: many times info not transferable- be cautious. Most common tool in impact prediction: 2/3 based on judgement. Good when problem not suited to precise analytical tools. Hypothetical- sequence of events constructed to focus attention on causal processes and decision points. Input scenario> predict what happens: environmental impacts: Changes in wind speed: tools for prediction- biophysical. Surface water: waste load allocations; statistical models; hydrological models; water usage and allocation studies. Ground water: pollution source surveys; mixing models; flow and transport models; soil and groundwater vulnerability indices. Biological: species population models; habitat simulation models; ecological risk assessment; biological assessments. Air: dispersion modelling; box models; air quality indices; monitoring and analogues: tools for prediction- socio- economic.