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Surface Water - Alabama Department of Environmental Management

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Methodology<br />

SITE SELECTION<br />

<strong>Alabama</strong>’s 2002 §303(d) list and the NPS impairment potential estimates were used to<br />

rank the sub-watersheds within the BWC Basin Group. Additional review <strong>of</strong> municipal,<br />

industrial, and mining permit tracking databases were used to identify those subwatersheds<br />

with the most potential for impairment from point sources. Existing water<br />

quality reports were used to identify sub-watersheds where recent data were unavailable. A<br />

total <strong>of</strong> 44 sub-watersheds were targeted to select candidate assessment sites and conduct<br />

field reconnaissance. Two hundred three sites were visited to determine the best sampling<br />

locations for the NPS screening assessment. Where possible, assessment sites were located<br />

in relatively small drainages to relate water quality to specific nonpoint sources and to<br />

compare results to ADEM’s network <strong>of</strong> least-impacted reference sites. Appendix F lists<br />

the target sub-watersheds and the sites chosen for assessment.<br />

HABITAT ASSESSMENT<br />

In the absence <strong>of</strong> water quality impairment, biological condition <strong>of</strong> the fish and aquatic<br />

macroinvertebrate communities is generally correlated with the quality <strong>of</strong> available habitat.<br />

The presence <strong>of</strong> stable and diverse habitat generally supports a diverse and healthy aquatic<br />

fauna (Barbour and Stribling 1991, Barbour and Stribling 1994). Therefore, habitat quality<br />

was assessed at each site to evaluate stream condition and to assist in the interpretation <strong>of</strong><br />

biological data. Primary, secondary, and tertiary habitat parameters were evaluated.<br />

Primary habitat parameters evaluate the availability and quality <strong>of</strong> substrate and instream<br />

cover. They include those characteristics that directly support aquatic communities, such<br />

as substrate type and stability. Secondary habitat parameters evaluate channel morphology,<br />

which is determined by flow regime, local geology, land surface form, soil, and human<br />

activities. Channel morphology indirectly affects the biological communities by affecting<br />

sediment movement through a stream (Barbour and Stribling 1991). Secondary habitat<br />

parameters include an evaluation <strong>of</strong> flow regime, sinuosity/ instream geomorphology, and<br />

sediment deposition and scouring. Tertiary habitat characteristics evaluate bank structure<br />

and riparian vegetation. Bank and riparian vegetation prevent bank erosion and protect the<br />

stream from stormwater run<strong>of</strong>f from impervious surfaces. The presence <strong>of</strong> overhanging<br />

riparian vegetation also determines the primary energy source for aquatic<br />

macroinvertebrate communities—the base <strong>of</strong> the fish food chain (Vannote et al. 1980).<br />

Tertiary parameters include bank condition, bank vegetative protection, and riparian zone<br />

width.<br />

The EPA has published 2 versions <strong>of</strong> stream habitat assessment forms to evaluate<br />

primary, secondary, and tertiary habitat parameters (Barbour et al. 1999). ADEM used the<br />

original habitat assessment form from 1989 through 1996. The EPA published revised<br />

habitat assessment forms that evaluated riffle/run and glide/pool streams separately (EPA<br />

1997b). The primary habitat parameters <strong>of</strong> the glide/pool habitat assessment emphasize<br />

characteristics important to this stream-type, primarily pool structure and variability. The<br />

ADEM began using the revised forms in 1996 because they assess habitat quality and<br />

degradation to the glide/pool streams <strong>of</strong> south <strong>Alabama</strong> more accurately (ADEM 1999b).<br />

In addition, because they measure impairment to habitat quality, the scores (converted into<br />

percent <strong>of</strong> maximum score) were comparable between stream types and can be used to<br />

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