Atmospheric Stability and Air Quality Measurement Principles of Air Pollution Measurement

Fundamentals of Air Parcel Dynamics and the Dry Adiabatic Lapse Rate

As an imaginary parcel of air (جزئية من الهواء) rises within the Earth's atmosphere, it encounters lower and lower pressure from the surrounding air molecules. Because of this decrease in external pressure, the air parcel expands. This expansion causes a reduction in the temperature of the air parcel. Under ideal conditions, a rising parcel of air cools at a rate of approximately 1C/100m1\,^∘\text{C}/100\,\text{m} or 5.4F/1000ft5.4\,^∘\text{F}/1000\,\text{ft}. Conversely, if an air parcel is descending, it warms at the same rate of 1C/100m1\,^∘\text{C}/100\,\text{m}. This specific rate of warming or cooling related to altitude change is theoretically termed the dry adiabatic lapse rate.

In a rising parcel scenario where the air is unsaturated, a parcel starting at ground level (elevation 0m0\,\text{m}) with a temperature of 10C10\,^∘\text{C} will cool as it ascends. At 100m100\,\text{m}, the temperature reaches 9C9\,^∘\text{C}; at 200m200\,\text{m}, it reaches 8C8\,^∘\text{C}; and at 300m300\,\text{m}, it cools to 7C7\,^∘\text{C}. During this process, the surrounding environmental air may have a different temperature profile. For instance, the surrounding air at 0m0\,\text{m} is 10C10\,^∘\text{C}, but at 100m100\,\text{m} it might be 9.8C9.8\,^∘\text{C}, at 200m200\,\text{m} it might be 9.6C9.6\,^∘\text{C}, and at 300m300\,\text{m} it might be 9.4C9.4\,^∘\text{C}. In this specific case, the environmental lapse rate is different from the adiabatic lapse rate, making the rising parcel cooler than its surroundings at higher altitudes.

Classification of Prevailing Lapse Rates and Atmospheric Stability

The actual measurements of temperature change with elevation are known as prevailing lapse rates or environmental lapse rates. These can be categorized into four primary types based on their relationship to the dry adiabatic lapse rate of 1C/100m1\,^∘\text{C}/100\,\text{m}:

  • Superadiabatic Lapse Rate (Strong Lapse Rate): This occurs when the atmospheric temperature drops by more than 1C/100m1\,^∘\text{C}/100\,\text{m}. This condition leads to unstable atmospheric conditions characterized by a great deal of vertical air movement and turbulence (اضطراب).

  • Subadiabatic Lapse Rate (Weak Lapse Rate): This is characterized by a temperature drop of less than 1C/100m1\,^∘\text{C}/100\,\text{m}. These conditions represent a stable atmosphere with limited vertical mixing.

  • Adiabatic Lapse Rate: The condition where the prevailing rate exactly matches the dry adiabatic process (1C/100m1\,^∘\text{C}/100\,\text{m}).

  • Inversion: This is a special, extreme case of a weak lapse rate where the temperature actually increases with altitude, meaning warmer air sits above colder air. Inversions are considered super stable and significantly inhibit vertical air movement.

Impact of Stability on Pollutants and Vertical Movement

Understanding vertical air movement is critical for managing air quality and ensuring that pollutants do not affect human populations. Stability determines whether a volume of air will resist movement or continue to rise or fall once displaced.

In a superadiabatic (unstable) system, if a parcel of air is displaced, it tends to keep moving in that direction. For example, if a parcel at 500m500\,\text{m} and 20C20\,^∘\text{C} is moved up to 1000m1000\,\text{m}, it cools adiabatically to 15C15\,^∘\text{C}. If the surrounding environmental temperature at 1000m1000\,\text{m} is 10C10\,^∘\text{C}, the parcel finds itself warmer than the surrounding air. Since warm air rises, it will continue to ascend. If the same parcel is moved downward to ground level (0m0\,\text{m}), its temperature would increase to 25C25\,^∘\text{C} (20C+[500m×1C/100m]20\,^∘\text{C} + [500\,\text{m} \times 1\,^∘\text{C}/100\,\text{m}]). If the surrounding air at the ground is 30C30\,^∘\text{C}, the parcel is cooler and higher-density than its surroundings, causing it to continue its downward trajectory.

In a subadiabatic (stable) system, vertical movement is dampened. Consider a parcel at 500m500\,\text{m} and 20C20\,^∘\text{C} in a system where the ground is 21C21\,^∘\text{C} and the air at 1000m1000\,\text{m} is 19C19\,^∘\text{C}. If the parcel is displaced to 1000m1000\,\text{m}, it cools to 15C15\,^∘\text{C}. Finding the surrounding air warmer at 19C19\,^∘\text{C}, the parcel is denser and falls back to its original release point. If moved to the ground, it warms to 25C25\,^∘\text{C}, but because the surrounding ground-level air is cooler at 21C21\,^∘\text{C}, the parcel rises back to its point of origin at 500m500\,\text{m}.

Plume Behavior Conditions based on Enviromental Profiles

The interaction between the environmental lapse rate and the dry adiabatic lapse rate determines the visible shape and behavior of smoke plumes from stacks:

  • Strong Lapse Condition (Looping): Occurs under superadiabatic conditions where environmental air is cooler than the parcel, leading to high turbulence and an unstable looping plume.

  • Weak Lapse Condition (Coning): Occurs under subadiabatic conditions where the environmental lapse rate is slightly less than adiabatic, resulting in a conical plume shape.

  • Inversion Condition (Fanning): Occurs when an inversion exists. The plume spreads horizontally but resists vertical movement, staying in a thin layer.

  • Inversion Below, Lapse Aloft (Lofting): A favorable condition where pollutants are trapped above an inversion layer, preventing them from reaching the ground.

  • Lapse Below, Inversion Aloft (Fumigation): A dangerous condition where an inversion layer acts as a cap, forcing pollutants to stay near the ground.

  • Weak Lapse Below, Inversion Aloft (Trapping): Similar to fumigation, where vertical mixing is severely limited, trapping pollutants in the lower atmosphere.

Categorization and Measurement of Particulate Matter

The Environmental Protection Agency (EPA) classifies particulate matter based on the diameter of the particles:

  • Ultrafine (رائعة الصر): Diameter range < 0.1\,\mu\text{m}.

  • Fine (الأرقى): Identified as PM2.5PM_{2.5}, with a diameter range < 2.5\,\mu\text{m}.

  • Coarse (الأرقى): Identified as PM10PM_{10}, with a diameter range between 2.5μm2.5\,\mu\text{m} and 10μm10\,\mu\text{m}.

Measurement of PM10PM_{10} is historically performed using a high-volume sampler (hi-vol). This device operates similarly to a vacuum cleaner and can force up to 86,000ft386,000\,\text{ft}^3 of air through a filter in a 2424-hour period. It consists of an air inlet, a filter, a blower, a flow controller, and a manometer to calculate flow and pressure. The analysis is gravimetric, meaning the filter is weighed before and after exposure to determine the mass of particulates collected.

Mathematical Calculations for Air Quality

Particulate Concentration (Gravimetric)

The concentration (CC) is calculated as the mass of particulates divided by the volume of air sampled. In Example 12.2, a clean filter weighs 10.00g10.00\,\text{g}, and after 24hr24\,\text{hr}, it weighs 10.10g10.10\,\text{g}. The initial and final air flows are 6060 and 40cfm40\,\text{cfm} (ft3/min\text{ft}^3/\text{min}).

  1. Mass of particulates: (10.10g10.00g)×106μg/g=0.1×106μg(10.10\,\text{g} - 10.00\,\text{g}) \times 10^6\,\mu\text{g/g} = 0.1 \times 10^6\,\mu\text{g}.

  2. Average air flow: 60+402=50ft3/min\frac{60 + 40}{2} = 50\,\text{ft}^3/\text{min}.

  3. Total volume of air: (50ft3/min)×(60min/hr)×(24hr)=72,000ft3(50\,\text{ft}^3/\text{min}) \times (60\,\text{min/hr}) \times (24\,\text{hr}) = 72,000\,\text{ft}^3.

  4. Convert volume to m3m^3: 72,000ft3×(28.3×103m3/ft3)=2038m372,000\,\text{ft}^3 \times (28.3 \times 10^{-3}\,\text{m}^3/\text{ft}^3) = 2038\,\text{m}^3.

  5. Concentration: 0.1×106μg2038m3=49μg/m3\frac{0.1 \times 10^6\,\mu\text{g}}{2038\,\text{m}^3} = 49\,\mu\text{g/m}^3.

Gas Concentration Conversion

Gaseous concentrations are expressed as parts per million (ppmppm) or micrograms per cubic meter (μg/m3\mu\text{g/m}^3). The conversion formula at 1atm1\,\text{atm} and 25C25\,^∘\text{C} is: μg/m3=MW×100024.5×ppm\mu\text{g/m}^3 = \frac{MW \times 1000}{24.5} \times ppm Where MWMW is the molecular weight of the gas. At 0C0\,^∘\text{C}, the constant changes to 22.422.4.

Example 12.3: Calculations for Carbon Monoxide (COCO, MW=28g/molMW = 28\,\text{g/mol}) at 10%10\% volume.

  1. Since 1%=10,000ppm1\% = 10,000\,ppm, then 10%=100,000ppm10\% = 100,000\,ppm.

  2. Concentration: 28×100024.5×100,000=114×106μg/m3\frac{28 \times 1000}{24.5} \times 100,000 = 114 \times 10^6\,\mu\text{g/m}^3.

Large-Scale Case Study: 1952 London Fog

During a 2-week episode, 25,000metric tons25,000\,\text{metric tons} of coal with 4%4\% sulfur (SS) content were burned per week. The mixing depth (inversion cap) was 150m150\,\text{m} over an area of 1200km21200\,\text{km}^2. Calculating the expected SO2SO_2 concentration:

  1. SO2SO_2 emitted per week (using MWS=32g/molMW_S = 32\,\text{g/mol}, MWSO2=64g/molMW_{SO_2} = 64\,\text{g/mol}): (25,000tons)×(0.04S)×(64/32)=2000metric tons/wk(25,000\,\text{tons}) \times (0.04\,S) \times (64/32) = 2000\,\text{metric tons/wk}.

  2. Total mass for 2 weeks (AA): 2×2000=4000metric tons2 × 2000 = 4000\,\text{metric tons}.

  3. Volume of mixing layer: 150m×1200km2×106m2/km2=180,000×106m3150\,\text{m} \times 1200\,\text{km}^2 \times 10^6\,\text{m}^2/\text{km}^2 = 180,000 \times 10^6\,\text{m}^3.

  4. Concentration: 4000metric tons×106g/ton×106μg/g180,000×106m3=22,000μg/m3\frac{4000\,\text{metric tons} \times 10^6\,\text{g/ton} \times 10^6\,\mu\text{g/g}}{180,000 \times 10^6\,\text{m}^3} = 22,000\,\mu\text{g/m}^3.

Questions & Discussion

Question 1: What is the relationship between Carbon Monoxide (COCO) and Carboxyhemoglobin (COHbCOHb)? Response: Exposure to COCO causes impairment in time-interval discrimination even at 2.5%2.5\% COHbCOHb levels. In crowded city streets where COCO can reach 10μg/m310\,\mu\text{g/m}^3, the approximate relationship after prolonged exposure is COHb(%)=0.5+(0.16)×(10)×(COμg/m3)COHb(\%) = 0.5 + (0.16) \times (10) \times (CO\, \mu\text{g/m}^3). A traffic cop working a full day would be subject to levels dictated by this ratio.

Question 2: How much COCO and HCHC would a 1974 car emit in a year if driven 1000mi/month1000\,\text{mi/month}, and how lethal would it be in a garage? Response: Standards for 1974 were 3.4g/mi3.4\,\text{g/mi} for HCHC and 30g/mi30\,\text{g/mi} for COCO. At 12,000mi/year12,000\,\text{mi/year}, total emissions are 12,000×3.4=40,800g12,000 \times 3.4 = 40,800\,\text{g} of HCHC and 12,000×30=360,000g12,000 \times 30 = 360,000\,\text{g} of COCO. In a double-car garage (20×25×7ft20 \times 25 \times 7\,\text{ft}), lethal concentrations of COCO would be reached rapidly based on the mass-to-volume ratio (C=Mass/VolumeC = \text{Mass}/\text{Volume}).

Question 3: Calculate particulate concentration if a hi-vol clean filter weighs 18.0g18.0\,\text{g} and the dirty filter weighs 18.6g18.6\,\text{g} with initial/final flows of 7070 and 40ft3/min40\,\text{ft}^3/\text{min}. Response: Mass =0.6g= 0.6\,g. Average flow =55ft3/min= 55\,\text{ft}^3/\text{min}. Total volume over 24hr24\,\text{hr} is 55×60×24=79,200ft355 \times 60 \times 24 = 79,200\,ft^3. Converting this to m3m^3 and dividing the mass by the volume yields the concentration.

Question 4: Convert the primary ambient air quality standard for NO2NO_2 (100μg/m3100\,\mu\text{g/m}^3) into ppmppm. Response: Using the formula ppm=μg/m3×24.5MW×1000ppm = \frac{\mu\text{g/m}^3 \times 24.5}{MW \times 1000}, one would insert the molecular weight of NO2NO_2 (MW46g/molMW \approx 46\,g/mol) to find the standard in ppmppm at 25C25\,^∘\text{C} and 1atm1\,\text{atm}.