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Environmental Modeling and Simulation

Environmental Modeling and Simulation banner
Preview this course
Self-paced Advanced

Environmental Modeling and Simulation

3(115)
136 views
FREE
1624 min
Anytime
English
136 views
Engineering Academy
Engineering AcademyLearn Without Limits: Free Engineering Courses
AgricultureOil & Gas Upstream
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  • Certificate of completion
  • Anytime Learning
  • Learn from Industry Expert
Volume pricing for groups of 5+

Why enroll

This course is ideal for postgraduate students, environmental engineers, civil engineers, planners, and researchers seeking advanced analytical tools to address complex environmental challenges. As environmental systems become increasingly stressed due to urbanization and climate change, modeling and simulation play a critical role in impact assessment and sustainable resource management.

Enrolling in this course helps learners:

  • Develop strong skills in environmental systems analysis

  • Gain expertise in predictive modeling and simulation

  • Improve decision-making through data-driven insights

  • Enhance career opportunities in environmental consultancy, research, and planning

  • Prepare for advanced studies and interdisciplinary research

The course is particularly valuable for professionals involved in water resources management, pollution control, climate studies, and environmental impact assessment.

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Engineering Academy

Engineering Academy

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Learn Without Limits: Free Engineering Courses

5+ yrs experience·India

252Courses
4Articles
114Seminars
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Is this course for you?

You should take this if

  • You work in Agriculture or Oil & Gas Upstream
  • You're a Civil & Structural / Health, Safety & Environmental professional
  • You have 3+ years of hands-on experience in this field
  • You prefer self-paced learning you can revisit

You should skip if

  • You're new to this field with no prior experience
  • You need a different specialisation outside Civil & Structural
  • You need live interaction with an instructor

Course details

The Environmental Modeling and Simulation course focuses on the development and application of mathematical, statistical, and computational models to understand, analyze, and predict environmental processes. The course integrates principles from environmental engineering, hydrology, atmospheric science, and ecology to simulate complex natural and human-influenced systems.

The course begins with the fundamentals of system modeling, including conceptualization of environmental processes, governing equations, and numerical solution techniques. Learners are introduced to deterministic and stochastic models, calibration and validation methods, sensitivity analysis, and uncertainty assessment. Emphasis is placed on simulating air quality, water quality, groundwater flow, contaminant transport, and climate-related processes.

The course also covers the use of simulation tools and software, enabling learners to analyze real-world environmental problems, assess management strategies, and support sustainable decision-making. By the end of the course, learners gain the ability to design, implement, and interpret environmental models for research, planning, and policy applications.

SOURCE -Youtube [NPTEL IIT Roorkee]

Course suitable for

Key topics covered

  1. Fundamentals of environmental systems modeling

  2. Conceptual and mathematical model development

  3. Governing equations for environmental processes

  4. Deterministic and stochastic modeling approaches

  5. Numerical methods for environmental simulations

  6. Model calibration, validation, and verification

  7. Sensitivity and uncertainty analysis

  8. Air quality modeling and dispersion simulation

  9. Surface water and groundwater flow modeling

  10. Water quality and contaminant transport models

  11. Climate and ecosystem modeling basics

  12. Scenario analysis and environmental forecasting

  13. Integration of GIS and remote sensing with models

  14. Decision support systems and policy applications

  15. Use of environmental modeling software tools

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

57 lectures27 hr 4 min
  1. Introduction Part - I
    28 min
  2. Introduction Part - II
    34 min
  3. 1D Models Part - I
    28 min
  4. 1D Models Part - II
    25 min
  5. Logistic Growth Model Part - I
    29 min
  6. Logistic Growth Models - II
    30 min
  7. 1D Models: Auto Catalysis
    29 min
  8. Semi Quantitative Approach to Solve 1D Models
    32 min
  9. Using MATLAB for 1D systems
    32 min
  10. Using R for 1D Systems
    26 min
  11. Bifurcations - I
    27 min
  12. Bifurcations - II
    22 min
  13. Bifurcations - III
    29 min
  14. Bifurcations - IV
    30 min
  15. Bifucations - V
    25 min
  16. Insect Outbreak Model
    34 min
  17. 2D Systems - I
    30 min
  18. 2D Systems - II
    27 min
  19. 2D Systems - III
    23 min
  20. 2D Systems - IV
    30 min
  21. 2D Systems - V
    22 min
  22. 2D Systems - VI
    31 min
  23. 2D Systems - VII
    32 min
  24. 2D Systems - VIII
    28 min
  25. 2D Systems - IX
    25 min
  26. 2D Systems - X
    30 min
  27. 2D Systems - XI
    34 min
  28. 2D Systems - XII
    30 min
  29. Limit Cycles- I
    30 min
  30. Limit cycles - II & Bifurcations
    29 min
  31. Bifurcations
    26 min
  32. Application of Empirical Approach - I
    29 min
  33. Application of Empirical Approach - II
    30 min
  34. Application of Empirical Approach - III
    28 min
  35. Gaussian Plumes - I
    32 min
  36. Gaussian Plumes - Air - II
    30 min
  37. Gaussian Plumes - Air - III
    29 min
  38. Gaussian Plumes - Air - IV
    28 min
  39. Gaussian Plumes - Air - V
    31 min
  40. Gaussian Plumes - Air - VI
    32 min
  41. Ground Water - I
    32 min
  42. Ground Water - II
    26 min
  43. Environmental Transport Processes
    28 min
  44. Environmental Non-reactive & Reactive Processes - I
    24 min
  45. Environmental Non-reactive & Reactive Processes - ll
    30 min
  46. Environmental Non-reactive & Reactive Processes - lll
    30 min
  47. Homogeneous reactors
    23 min
  48. Heterogeneous Reactors - I
    27 min
  49. Heterogeneous Reactors - II
    32 min
  50. Ground Water Extraction
    26 min
  51. 2D Model Using MATLAB
    33 min
  52. Phase Portrait of 1D Models Using R
    23 min
  53. Phase Portrait of 2D Models Using R
    19 min
  54. Simulations l
    28 min
  55. Simulation-II
    29 min
  56. Application: Climate change and GDP – I
    32 min
  57. Application: Climate change and GDP – II
    26 min

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Questions and Answers

A: Lower wind speed pushes the model into a more stable regime, so dilution drops and near-field concentration climbs. That’s the hazard. Option B feels intuitive if you’re thinking momentum-dominated jets, but this is buoyancy-limited dispersion at low wind. Option C assumes turbulence drives concentration, missing that stability suppresses mixing. Option D mixes Gaussian geometry with peak math and ignores that σy and σz both shift with stability, not just averaging time.

A: Downwind focuses on conservatism: refraction bends sound toward the surface, limiting decay. Option B sounds like a numerical argument but ISO isn’t written to protect solvers. Option C imports site statistics into a standard meant to be generic. Option D confuses a real simplification with the reason for the requirement; water absorption is already treated separately.

A: You first verify how 10 m was extrapolated to 50 m using power law or log profile, then how that feeds stability. Option B feels field-driven but breaks boundary-layer physics. Option C assumes conservatism without checking shear. Option D mixes source term with meteorology, a classic pre-commissioning shortcut that distorts results.

A: Volume is rainfall times area times runoff coefficient, then multiplied by concentration. Option B drops cumulative rainfall logic. Option C is a unit slip that happens when mg/L isn’t converted to kg/m³. Option D looks conservative but silently deletes a real hydrologic control.