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ES 607 ADVANCED ENVIRONMENTAL MONITORING TECHNIQUES                                                                 (2L+2P) II

Objective
To impart the theoretical and practical knowledge of advanced environmental monitoring techniques

Theory

UNIT I
Design of environment quality monitoring programs; monitoring methods, their strength and weakness.

UNIT II
In-situ / Ex-situ monitoring techniques for physical (sediment yield, runoff) and chemical (chemical erosion, salinization/sodification, heavy metal contamination), degradation of soil / water resources at field / catchment scales

UNIT III
Application of spectro-photometric / chromatographic / microscopic and molecular techniques for monitoring inorganic and organic pollutants, pesticide residues, green house gases, microbial biomasss/ diversity / community structure and phylogeny

UNIT IV
Spatio-temporal environmental resource / degradation mapping with remote sensing tools/ techniques; use of GIS, GPS & DSS systems; integration of multi-source and multi scale data

UNIT V
Computer intelligent processing technologies for analyzing environmental data

Practicals
Design of  small scale environmental quality monitoring programs; Design of  large scale environmental quality monitoring programs; In-situ erosion and run-off measuring techniques for catchments; Demonstration of an automated weather data acquisition system; Sample preparation for elemental analysis by AAS; Sample preparation for elemental analysis by spectrophotometer; Analysis of metals by AAS, Analysis of green house gases by GC; Techniques of estimating TOC in biodegradable wastes; Microscopic techniques for analysis of environmental samples; Microbial community structure analysis using chromatography; Molecular analysis of microbes by PCR; Molecular analysis of microbes by gel documentation techniques, Soil use mapping with remote sensing; Land use mapping with remote sensing,; Environmental monitoring with GIS systems; Environmental monitoring with GPS systems; Application of spatial decision support systems for monitoring large scale productivity declines; Application of decision support systems for sustainable development; Computer intelligent processing technologies analyzing environmental data.

Suggested Books for Study