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– Endangered as well as endemic species in the area
Examples of primary data include:
• Physico-chemical
– Meteorology
– Air
– Water
– Noise
– Soil
• Biological
– Enlisting species
– Biological index in the area
– Species diversity
• Socio-economic
– Perception of the project for which EIA is carried out
Quality of baseline data is of prime importance as any compromise to collection
of data would affect quality of impact prediction. Poorly trained and innocent consultants can often become source of erroneous baseline data.
The common errors that can occur during collection of physico-chemical samples are:
• Not adding preservatives
• Not preserving in required storage temperature
• Storing beyond required storage time
• Collecting of non-isokinetic samples at flowing stream
• Collection of samples at the surface water bunds rather than middle of surface
water bodies
• Not collecting at water/soil sample at required depth
• Collecting sample in contaminated containers
The common errors that can occur during collection of microbial samples are as
follows:
• Not disinfecting the sampling containers
• Not preserving in required storage temperature
• Storing beyond required storage time
• Not collecting at water/soil sample at required depth
• Collecting sample in contaminated containers
The common errors that can occur during collection of socio-economic
sample are:
• Not designing sample size based on number of people in study area
• Not designing the questionnaire relevant to the projects
3.2 Baseline Data Collection and Analysis
– Endangered as well as endemic species in the area
Examples of primary data include:
• Physico-chemical
– Meteorology
– Air
– Water
– Noise
– Soil
• Biological
– Enlisting species
– Biological index in the area
– Species diversity
• Socio-economic
– Perception of the project for which EIA is carried out
Quality of baseline data is of prime importance as any compromise to collection
of data would affect quality of impact prediction. Poorly trained and innocent consultants can often become source of erroneous baseline data.
The common errors that can occur during collection of physico-chemical samples are:
• Not adding preservatives
• Not preserving in required storage temperature
• Storing beyond required storage time
• Collecting of non-isokinetic samples at flowing stream
• Collection of samples at the surface water bunds rather than middle of surface
water bodies
• Not collecting at water/soil sample at required depth
• Collecting sample in contaminated containers
The common errors that can occur during collection of microbial samples are as
follows:
• Not disinfecting the sampling containers
• Not preserving in required storage temperature
• Storing beyond required storage time
• Not collecting at water/soil sample at required depth
• Collecting sample in contaminated containers
The common errors that can occur during collection of socio-economic
sample are:
• Not designing sample size based on number of people in study area
• Not designing the questionnaire relevant to the projects
3.2 Baseline Data Collection and Analysis