Role of Models in Watershed Management Karim Abbaspour [email protected] 1 ….. .. And God taught them all the “Names Names”, Names , …… And when We said unto the angels: Worship them, .. they all worshiped, except Satan ….. Quran (2:30-38) 2 “Idea” model Landuse “Idea” model Climate High Price Information “Idea” model Hydrology Political process DATA Decision “Idea” model Ecology 3 “Idea” model = Informal conceptual model Hydrology model “Idea” model Landuse “Idea” model Climate Landuse model Political process Climate model “Idea” model Ecology Ecology model DATA 4 High Price Information “Idea” model Hydrology Decision “Idea” model = Informal conceptual model “Idea” model Hydrology Hydrology model “Idea” model Landuse Landuse model DATA 5 “Idea” model Climate Climate model “Idea” model Ecology Ecology model Models HighIntegrated Priced Information Modeling in Wateshed Management Political process Decision “Idea” model = Informal conceptual model Modeling in Wateshed Management Landuse model DATA 6 “Idea” model Climate Climate model “Idea” model Ecology Ecology model High Priced Information “Idea” model Landuse Hydrology model Integrated Models “Idea” model Hydrology Socio-economic analysis Political process Decision “Idea” model = Informal conceptual model Cycle of Decision Making Raw Data Processed Data Model High priced information - economical Implementation - social - institutional Policy formulation - political Knowledge (system) 7 Decision Support System (DSS) - physical Model Development 8 Informal conceptual models Formal predictive models Scientific understanding Management models inviting participation and collaboration Model and Data Relation Data Model data gaps? 9 Basic Data … Any successful national policy requires a solid database behind it Organisation for Economic Co-operation and Development (OECD) …. A solid database is needed to support decision making in an increasingly complex and environmentally stressed world Global Earth Observation System of Systems (GEOSS) 10 Basic Data Ensure that all data products are available to any user at no more than the cost of fulfilling user requests. As described in 15 U.S.C. § 5602, this means that data centers will not price data based on the recovery of capital costs or other assets previously paid for by the U.S. Government USGS, Open access 11 Basic Data The Federal Office of Topography (swisstopo) is a modern production organization with nearly 270 employees. Swisstopo creates and maintains the basic geodetic, topographic and geological data for the whole of Switzerland, publishes the national map series at a variety of scales and keeps them up to date. Swisstopo 12 13 Establish an infrastructure for spatial data in Europe to support environmental policies 14 15 Clearly, Future of data situation is towards: - Availability - Open access - Viewable with SDIs (spatial data infrastructures) and Web portals 16 Types of Models 1- Common sense models 2- Expert models 3- Scientific models 4- Multidisciplinary management models 17 1- Common sense Models - Conceptual models that we all carry with us - Everyone’s commonsense model may be different from everyone’s else’s - “Common sense” is often not commonly shared - Our common sense models are extremely multidisciplinary based on complex set of experiences - “Education” is the process that we create common culture and can get along with other people in the world 18 2- Expert Models - These are similar to common sense models, but have developed through years of training, study, and practice in a particular discipline - Doctors, engineers, plumbers, builders, etc. are all experts in their professional fields - However, professional expertise is often changing because of new knowledge and often there are competing and disagreeing expert models within any given profession 19 3- Scientific Models - A scientific model is a formalization of an expert‘s conceptual model - These models are published in journals, or expressed as formalized algorithms in computer programs - The computer program can be used by different scientists under different conditions - Models that hold up to the scrutiny of other scientists become valuable tools for watershed management - But, they have a serious shortcoming: they can each address only one aspect of the watershed processes in some significant detail, but other aspects only in simple ways 20 4- Multidisciplinary Management Models - To overcome the short comings of scientific models, many scientists are collaborating to build integrated multidisciplinary models in support of watershed management - But there are serious challenges to these efforts: - setting up standards for software interaction, - the cost of integration, - and the acceptance by watershed managers SocioSocio-economic Forces 21 InstitutionalInstitutional-legal Framework Scientific Support Which model to use? - Deciding on what modeling approach to use depends on a number of complex and interrelated issues such as: Funding, time, accuracy requirement, level of knowledge, legal precedents, local expertise, stakeholder interest …. - On a day-to-day basis, managers rely on the informal common sense models, and expert models - The formal scientific and multidisciplinary models are used by scientists and can have substantial effect on management decisions 22 Stakeholder Interest Which model to use? Idea models Expert models Scientific models Scientific Uncertainty 23 Ecological Models - Animal Simulation Models 1) Individual-based simulations for the study of behavior, genetics, and evolution 2) Theoretical metapopulation models 3) population-based models for watershed and regional management 24 Ecological Models - Landscape Simulation Models 1) Forest Ecological Models - JABOWA, ZELIG, LANDIS, JABOWA/FORET 2) Patch Theory Models - PatchMod 3) Cellular Modeling Approach - Spatial Modeling Environment (SME) 25 Hydrologic Models - Field-scale Hydrologic and Soil Erosion Models - USLE, MUSLE - Areal Nonpoint Source Watershed Environmental Response Simulation (ANSWERS) - Agricultural Non-Point Source (AGNPS) - CASC2D - Water Erosion Prediction Project (WEPP) - Simulation of Water Erosion (SIMWE) 26 Hydrologic Models - Watershed-scale Hydrologic and Soil Erosion Models - TR-20, - Hydrologic Engineering System (HEC-1) - HEC-HMS - Watershed Modeling System (WMS) 27 Hydrologic Models - Groundwater Models - Integrated system model of Groundwater Nodeling System (GMS) - MODFLOW, MODPATH - SEEP2D 28 Hydrologic Models - Field-scale Water Quality Models - Root Zone Water Quality Model (RZWQM) - Groundwater Loading Effects of Agricultural Management Systems (GLEAMS) - Erosion Productivity Impact Calculator (EPIC) - Chemical Runoff and Erosion from Agricultural Management Systems (CREAMS) 29 Hydrologic Models - Watershed-scale Water Quality Models - MT3D, RT3D, FEMWATER - WASP - Storm Water Management Model (SWMM) - Soil Water Assessment Tool (SWAT) - Hydrologic Simulation Program-FORTRAN (HPSF) - Better Assessment Science Integrated Point and Nonpoint Sources (BASINS) 30 The Role of GIS - The non-point source pollution simulations have involved the linkage of various simulation packages with GIS - ESRI, ArcView, ArcGIS - Open GIS programs, Geographical Resources Analysis Support Systems (GRASS) - MapWindow 31 Modeling Steps • Setting up the model • Calibration • Validation • Sensitivity analysis • Uncertainty analysis • Risk analysis • Analysis of alternatives 32 Decision Support Systems Analyzing Alternatives An important part of decision making in watershed management is to analyze the effect of alternatives options and to come up with consensus • Multi-objective Trade-Off Analysis (MTA) • Analytic Hierachy Process (AHP) • Multi Attribute Utility Theory (MAUT) 33 34 Improve business Improve biodiversity Improve community Improve water quality Objectives Cost ACTIONS MultiObjective Trade-Off Analysis Action Rating Analysing Alternatives Importance 3 2 2 3 5 Host watershed fair 3 2 2 3 1 31 Buy river front property 1 1 2 3 3 26 Introduce legislation 3 1 1 1 2 27 Stabilize river bank 1 1 2 1 3 30 Re-meander streams 1 1 3 2 3 32 Advertise for tourism 2 3 1 1 1 21 Study the problem 1 1 1 1 1 15 How to Connect to Watershed Manager? Watershed Manager 35 Scientist Scientist Scientist Hydraulic models Ecologic models Economic models How to Connect to Watershed Manager? Watershed Manager Scientist Common User Interface Hydraulic models 36 Ecologic models Economic models How to Connect to Watershed Manager? Watershed Manager Watershed Management Model Scientist Hydraulic models 37 Scientist Ecologic models Scientist Economic models Scientific Models & Watershed Management - There are a large number of excellent groundwater models, surface drainage models, river water models, transpiration models, plant growth models, and economic models…. - BUT, there is a big difference between the output of scientific models and the needs of watershed managers - There needs to be a lot of analysis, interpretation, and conversion before scientific model outputs are useful to decision makers - The current challenge is in the simultaneous application of these modeling capabilities to address multi-stakeholder, multidisciplinary watershed management decisions 38
© Copyright 2026 Paperzz