How vulnerable is the water in each watershed to localized pollution sources?
Why is this important for water quality?
Localized Pollution Source Index
Known locations with the potential to produce and disperse contaminants are a threat to surface water and groundwater quality. A wide variety of chemical, nutrient and temperature impairments occur from these sources. Pollutants may move directly into streams as contaminanted runoff, infiltrate into groundwater, or discharge from wastewater or industrial processing. Note: For this index, the term 'localized source' refers to a known contaminant risk location. Some of these sources do not discharge to surface water and do not meet the statutory section 502(14) 'point source' definition of the Clean Water Act.
Examples of localized pollution potential:
• Wastewater treatment plants may serve populations that exceed their design capacity and become a major contributor of phosphorus to streams, which may cause excessive plant growth (Johnes et al. 1996).
• Open-pit mines that remove sulfur-bearing waste rock contribute acid mine drainage, which may result in the death of fish and insects in receiving streams. Nitrous oxides, sulfides, and mercury may be released during processing of ore.
• Feedlots present a risk to water quality because of potential contamination from excess nutrients, microbial pathogens and pharmaceuticals present in the animal waste (Burkholder et al. 2007).
CREATING THE INDEX
This index quantifies the density of localized potential pollution sources at the catchment and watershed scale. This density identifies the relative potential for impacts to water quality. Six localized potential sources are quantified as inputs for this index:
- registered animal feedlots (feedlots with 50+ animal units; or 10+ animal units in shoreland areas)
- potential contaminant sites (MPCA database, site type detail below)
- superfund sites (federal and state listed; active and inactive sites)
- wastewater treatment plants (phosphorus, nitrogen and CBOD discharge loads)
- open pit mines (Mesabi range)
- septic systems (estimate based on domestic wells in the County Well Inventory)
This metric totals the number of animal units (AU) in registered feedlots in each catchment (September, 2014 data). The animal unit count is divided by catchment land area to calculate AU/acre. (1 AU = 1000 lb dairy cow equivalent.) Scores are scaled from 0 to 100, with a density of .75 AU/acre or greater = 0; no registered feedlots = 100.
Potential Contaminant Metric:
Potential contaminants are identified from a database managed by the Minnesota Pollution Control Agency (October, 2014 data). Sites that are included vary in the severity of the risk but are all deemed to be a threat to water quality. The contaminant types included in the index are:
- air pollution sources,
- hazardous waste producers and disposal sites,
- petroleum tanks and tank leak sites,
- solid waste dumps and landfills,
- contaminated sites that are under remediation
- industrial and construction storm water permit sites.
The total number of sites is divided by catchment land area. Scores range from 0 to 100; with the 95th percentile density (1.87 points/km2) or greater = 0; no sites present = 100.
Superfund Site Metric:
This metric uses a combination of federal and state listed superfund sites, including both active and inactive locations. Total number of sites is divided by catchment land area. Scores range from 0 to 90; with the 95th percentile density or greater = 0 and a maximum score of 90 indicating some level of risk when one superfund site is present.
Wastewater Treatment Plant Metric:
This metric measures phosphorus, nitrogen and carbonaceous biochemical oxygen demand (CBOD) discharge loads for WWTPs based on NPDES permit reports. The quantity of the three effluents is summed for each catchment and the relative quantity of effluent discharged within the catchment boundary is calculated. Where WWTPs are present, but no quantity was measured for that particular effluent, the catchment receives no score. The score for each effluent type is based on 0 = the 95th percentile of the load totals; remaining values are scaled from 0-100.
Septic Systems Metric:
The domestic wells listed in the County Well Index (CWI) are used to approximate septic system location. Given these data assumptions and lack of historic records, this metric provides a conservative estimate of actual septic system density. The metric score is based on well density per km of land area in a catchment. Scores range from 0 to 100, with a the 95th percentile density (15.587 wells/km2 ) or greater = 0; no wells present = 100.
Open Pit Mines Metric:
The extent of disturbed land from open pit mining activity is compared to the total land area for each catchment that contains mining activity. Open pit mining data is available for the Mesabi iron range area of Minnesota, the only area in Minnesota with open pit mining for metals. Gravel, aggregate and sand mines have different environmental impacts and are not included in this localized source metric. Scores range from 0 to 100, with 15% disturbed land area = 0; no land disturbed by mining = 100.
Localized Pollution Source Index:
The six catchment values are combined and averaged for a catchment scale Localized Pollution Source Index score.
Major Watershed Scale
The major watershed scale Localized Pollution Source Index uses an area weighted average of the catchment scores. Each catchment score is multiplied by the catchment area. The product for all catchment metrics within a watershed are summed and divided by the area of that major watershed.
There is significant scientific literature to support a qualitative relationship between contaminant sources and water quality within a watershed. However, there is little scientific literature to define quantitative relationships or thresholds between the density of sources and impacts to watershed water quality. Thus, in most cases the density of each localized source type is used to scale from 0 (less desirable condition) to 100 (no point source present or most desirable condition). The zero value is set at the 95th percentile to avoid high density outliers from skewing the remaining range of results.
A literature-based threshold of .75 Animal Units per acre was used as the zero value for the feedlot metrc. The ability to recycle manure on agricultural lands reduces the risk of contamination to surface waters. Research suggests that when cow manure is spread at rates exceeding .75 AU, excess phosphorous is being applied and there is a heightened risk for contaminating surface waters (Saam, Mark Powell, Jackson-Smith, Bland, & Posner, 2005). This value is considered a conservative threshold for the feedlot metric as the density is scaled to total catchment land area, not only cropland.
The combined Localized Pollution Source Index at the catchment scale is the average of the catchment scores for all metrics combined. The combined index has a range of scores from from 0 to 100.
Open pit and taconite mines are found in northeast Minnesota. The land area of each pit and associated land disturbance is used to calculate the percent disturbed land area per catchment. A threshold of 15% disturbance is used as a '0' score. The scores show a range of disturbance to catchments with mining activity.
Wastewater discharge sites include municipal and industrial discharge and are most concentrated near the metropolitan areas of the Twin Cities, Rochester and Duluth, as well as the mineral processing areas in the northern Iron Range.
Feedlots are heavily concentrated in the southern half of Minnesota, as well as in a corridor toward the northwest, particularly in the Sauk River watershed.
The highest density of potential contaminant sites and superfund sites are clustered around metropolitan areas and are primarily manufacturing and industrial facilities. The more dispersed contaminant sites found throughout Minnesota include un-permitted dumps, city landfills, industrial and manufacturing sites.
The septic system metric uses the presence of a domestic well as a surrogate for the presence of an individual septic system; based on the assumption that these dwellings to not have access to public sewer and water services. The pattern shows housing expanding north of the Twin Cities and into the St. Croix River basin, cabins and lake homes in north central Minnesota, and wide-spread pockets of rural subdivisions.
The combined Localized Pollution Source Index at the catchment scale shows the distribution and density of a wide variety of pollution sources. Water quality impairments from nutrients, chemicals, temperature, and other by-products of human activities are most likely to occur in those areas with the highest density of contaminant generation. The highest density condition occurs in the Twin Cities Metropolitan area. The lowest density of localized pollutions sources is found across northern Minnesota outside of the mining areas. Some forest products industries also show potential for localized impacts.
Looking at each catchment scale metric individually shows different statewide patterns of vulnerability. Water quality is vulnerable in the northeast due to mineral extraction and processing; water in the southern two-thirds is vulnerable to the high density of animal feedlots. The southeast corner of the state faces additional risk due to the karst landscape, steep topography and valley streams, which increases the likelihood for both ground water contamination and overland runoff into surface waters.
Stormwater and wastewater permits for discharging water into streams and other surface water can change flow patterns and impact the timing and duration of high and low flows. Open pit mining activity can alter the direction of surface water flow, create large water storage features and remove permanent vegetation.
Water quality degradation due to chemical or pharmaceutical contaminants can result in populations of aquatic organisms that are unable to reproduce. These contaminants effectively disconnect aquatic systems by creating chemical “barriers” or locations within which some organisms cannot survive and disconnects the remaining populations.
Pollutants interact in different ways based on the pH, temperature, sediment load, available sunlight and other characteristics. The soil type and slope of the landscape have a large influence on the sediment load in streams and the way in which contaminated sediment moves and deposits within surface waters. The presence of karst geologic features such as sinkholes, springs and seeps increases the transport speed of contaminants to surface and groundwater. Thus, the geomorphic setting influences the impact of different pollutants on the health of the system.
Pollution can impact biological communities by directly affecting the health of plants and animals. Chemicals and hormone disruptors can reduce fertility and feminize male fish. Toxins in the air, water and soil that bioaccumulate through the food chain have broad unforeseen consequences. Heavy metals, e.g., cadmium or nickel, released in industrial or mining discharges can result in mortality of aquatic organisms at very low concentrations.
The influence of point source pollutants on water quality were well known when the Clean Water Act was authorized (Karr 1981). Although the number of point sources has been reduced, a number of contaminants are still discharged and pose a threat to surface water and groundwater quality. Aquatic life (class 2) standards for water quality are often more stringent than drinking water standards (class 1) for many pollutants, so class 2 standards help protect drinking water as well. A wide variety of chemical, nutrient and temperature impairments occur from point sources including wastewater treatment plants, feedlots, landfills, and mines. Moreover, many older sewage treatment plants may now serve much larger populations than their design capacity with consequent reduction in treatment efficiency, which are a major contributor of phosphorus to streams (Johnes et al. 1996).
Pollutants, sources and impacts:
Excess phosphorus increases algal blooms and productivity (Moore 2007), which ultimately leads to reduced dissolved oxygen concentrations when plants die and decompose. Low dissolved oxygen can affect fish growth and give competitive advantage to tolerant species (Annear et al. 2004). The threshold for impairment in Minnesota for warmwater streams (Class 2Bd, B, C, D) is 5 mg/L (Moore 2007). The effluent limit where point sources discharge directly into the water is 1 mg/L.
Elevated levels of ammonia, such as from wastewater can deplete the dissolved oxygen in the water and cause fish kills. Un-ionized ammonia (NH3) is toxic to aquatic biota at elevated levels where sensitive species and early life stages of fish are affected first (Moore 2007). The chronic standard for coldwater streams in Minnesota (Class 2 A) is 0.016 mg/L unionized ammonia and 0.04 mg/L for warmwater streams (Class 2Bd, B, C, D). In rural streams, ammonia nitrogen and nitrate nitrogen comes from leaky septic tanks and effluent from wastewater treatment plants (Gary et al. 1983).
Chloride enters waters from industrial and wastewater treatment plant effluents (Moore 2007). Chloride may interfere with the osmoregulatory capacity of organisms and is considered a pollutant. The Class 2 chronic standard for chloride is 230 mg/L.
Heavy metals, such as mercury, aluminum, copper, zinc, lead, nickel, selenium, chromium or cadmium, may be found in waterways and at elevated concentrations they can bioaccumulate in fish. Copper, lead and zinc are the most common metals found in the water and mortality of aquatic organisms may occur at very low concentrations. Sources for these metals include industrial wastewater, discharge from old landfills, or mining discharges, while aluminum is associated with industrial discharges (Welch et al. 1998). Metal concentrations increase in storm water flow in urbanized areas from corrosion of car parts and pipes.
Feedlots present a risk to water quality because of potential contamination from excess nutrients (primarily nitrogen and phosphorus), microbial pathogens, endocrine disruptors, and pharmaceuticals present in the animal waste (Burkholder et al. 2007). A threshold of .75 animal unit per acre of land was used as the "0" threshold value for scoring the feedlot metric at the catchment scale. This threshold is a conservative interpretation of a study estimating manure recycling ability of Wisconsin dairy farms. (Saam et al. 2005)
Thermal pollution from heated water discharge without regard to other pollutants can reduce growth in trout and other coldwater species. Fleming and Quilty (2007) found an increase from 15.2 to 15.9°C in daily mean stream temperature doubled the risk to aquatic biota and this risk grew exponentially with increasing stream temperatures.
There is a well documented relationship between potential pollution sources and impacts to water quality from Minnesota and multiple locations around the world. The contaminant sources that are found in the effluent from point sources can be measured directly in receiving waters and many studies have quantified these inputs.
The ranking and scoring of pollution sources that reach surface waters in other ways is based on a count of sites by type to create a density per watershed land area. There is no attempt to weigh the relative risk associated with different types of pollutants or different size sites. The score from each type of potential pollution source was ranked from 0 to 100 prior to combining into an overall score. This approach allowed the different input types to have equal weight in the final score despite greatly different range in site numbers. In reality, the risk from each localized source varies greatly. Much more information about specific site characteristics, as well as location relative to surface and ground water, would be needed to quantify the variability of risk.
This index contains a very wide variety of potential contaminant sites and weights them equally. Points could be ranked based on site type, location, remediation actions, proximity to water, volume of discharge, and type of contaminant. Additional contaminant sources that are currently not scored could be included.
This index quantifies the density of a variety of potential pollution sources for each catchment (subwatershed). This information could be improved further by quantifying all potential localized sources that are in catchments upstream of any given site in the watershed.