Introduction to NonPoint Source Pollution Models Pollution from
- Slides: 17
Introduction to. Non-Point Source Pollution Models • Pollution from diffuse land sources and not from a point source discharge. • 50 -70% NPS pollutants loads to surface waters 75 % of which are agricultural related. • Sediments are very costly – soil loss, chemical transport – reduce reservoir capacity • Characteristics: – diffuse pathways, spatially and temporally heterogeneous – intermittent – transport is important- extensive land areas – hard to monitor at the source, no standards can be set, BMPs are used.
Sediments • ~5 billion from erosion per year in US • ~2. 7 billion tons reach small streams – 60% from sheet & rill Ag erosion – 40% from bank, gully, road, construction • ~10% total erosion enters ocean • ~45% deposited before streams • ~45% deposited flood plains, ponds, reservoirs, channels, wetlands • Cost: – US Army Corps dredging >$300 million in 1980, >$450 million now – disposal cost may average 100% of dredging, total cost ~ $1. 5 billion • Reservoirs in 30 years 20% of nation small reservoirs will be 50% full. • Carrier of P and pesticides, crop loss, aquatic habitat degradation
Nutrient • • N and P, accelerated eutrophication of lakes and estuaries P: 2, 000 tons/year 71% Ag sources, 84% NPS P sediment adsorbed, sediment control ~ P control N dissolved nitrate NO 3 - Pesticides • 2179 tons / year, 95 % Ag sources • Toxicity to human and wild life BOD • 33. 5 million tons/year, 91% NPS, 81% Ag sources • Oxygen depletion in rivers and streams Pathogen • Bacterial and viral from feed lots, manure fields, pasture, range land.
Why Model NPS • Diffuse, Intermittent Process – Stream monitoring may not be sufficient. • will not pinpoint source • will not predict land use changes • will not represent high load events unless continuos • Land use Planning – Assess impact of land use changes on NPS loads, example BMP • Resource Inventory and Assessment- Stream Assessment – Regional assessment of overall problems – Identifying potential problem areas • Scientific understanding – – Models and process integrator Sensitivity analysis Error analysis Validation
Kind of Models • Process description – Empirical vs. Physically based • Variables presented – Runoff volume, Peak discharge, Erosion, Sediment yield, Nutrients, Pesticides, … • Temporal scale – Single event, continuos simulation, Average annual • Spatial Scale – Hillslope, Field, Basin • Dynamic vs. Steady State • Deterministic vs. stochastic
Transport Processes • Advection: Transport by the water current • Dispersion: Mixing within the water body – Molecular diffusion induced by concentration gradient, very slow – Turbulent diffusion eddies and mixing due to microscale turbulence moderately slow – Dispersion due to velocity gradient • Transport of sediment particles, erosion, tillage, suspension and deposition • Chemical processes – Sorption – Ion exchange – Crystallization – Hydrolysis – Oxidation-Reduction – Phytochemical and Biochemical
Nitrogen Ballance • NAL = Nfertilizer + Nrain + Nresidual + Nnitrification N leaching below the root zone is: NAL(kg/ha) (1 -e[(-K*WAL)/n] N is porosity in cm K is leaching coeficient ~ 1. 2 WAL is water available for leaching (cm) = water inflow – losses – AWHC (cm) – actual water in soil (cm)
Contamination Problem • Uncontrolled spill of chemical; subsequently distribute in the subsurface, and create a health hazard.
Water-NAPL –air distribution on an initially wet scratched glass
Removal Processes
The two layer theory
Multiphase Transport Model C : is the solute concentration (M/L 3) D : is the hydrodynamic dispersion coefficient (L 2/T) v : is the specific velocity (L/T). r : represents the interphase transfer to or from phase : represents the loss or gain due to chemical or biochemical reactions. J kf C Keq : is the flux from the non-aqueous phase (M/L 3. T-1) : is the first order mass transfer coefficient (T-1) : is the contaminant concentration (M/L 3) : represents thermodynamic equilibrium constant as Henry’s law constant KH (dimensionless) , : denotes the phases involved
Random conductivity field
Hypothetical case study The general layout for the hypothetical case study Hydraulic conductivity = 3. 0 m/day Porosity =0. 30 Longitudinal dispersivity = 2. 0 meter
Sample result a b The contaminant plume after 50 days of heterogeneous hydraulic conductivity field of variances of (a) 0. 45 and (b) 1. 2.
Preliminary Results The contaminant plume in Bekaa basin after 300 days of instantaneous spill of 100 ppm contaminant at a point of local coordinate of X=15000, and Y=7500 m. The transmissivities were varied by +15%
Preliminary Results The contaminant plume in Bekaa basin after 700 days of instantaneous spill of 100 ppm contaminant at a point of local coordinate of X=15000, and Y=7500 m. The transmissivities were varied by +15%
- What is the difference between models & semi modals?
- Point source pollution examples
- Thermal pollution source
- Point source pollution
- Water pollution and ecosystems
- Point source pollution examples
- Point source pollution
- Point source pollution
- Noise pollution causes
- Cloud storage models and communication apis
- An introduction to variational methods for graphical models
- A revealing introduction to hidden markov models
- Introduction to spreadsheets and models
- An introduction to probabilistic graphical models
- A revealing introduction to hidden markov models
- Community provider business model examples
- Pollution introduction
- Pollution introduction