
download the arc set for arcgis, choose the correct version (such as 10.4), download, then extract and install by selecting everyone for permissions, and access related installation documents.
Cooperate with the data team to complete the mandatory data preparation before running the ArcSWAT model, including setting land use data and other essential inputs for any study area.
Change your PC date and time settings to the English United States format using date and time or control panel. This ensures ArcSWAT simulations run correctly.
Set up soil properties for the ArcSWAT model in ArcGIS by downloading and updating soil data. Update the soil database and weather data for India and global regions.
Prepare Indian climate data by configuring the AMD weather dataset in ArcSWAT, extracting average climate values for 83 years from the WGAN users database, including temperature, wind, and solar radiation.
Learn to download ASTER v3 digital elevation models for a study area, create an account, locate the ASTER global DEM, download tiles, and mosaic them for ArcSWAT.
Learn to create a digital elevation model mosaic for a large watershed in ArcGIS, configure the mosaic dataset, import rasters, export the final dem, and prepare for utm reporting.
Identify the UTM zone for your study area and re-project the digital elevation model to that UTM, using a small demo extent to streamline processing.
Cut the digital elevation model for a study area using a land-use mask and watershed boundary in ArcGIS; export the clipped dem to a dedicated folder with the correct extension.
Learn how to download a country shapefile, select a country (india), extract the data, and view country-level attributes for GIS analysis in ArcGIS.
Learn to download the india official map shapefile, merge state and district layers, set the coordinate system to WGS 84, and export for use in arcgis and arcSWAT analysis.
if Soil site is down, Download soil file from Resources of this video.
Learn to download and install R and RStudio, install required packages, and configure R for data handling in GIS workflows.
Prepare weather data grid for ArcSWAT with ArcGIS by defining the study area and an extended watershed, generating lat/long grid points in R, verifying in ArcGIS, and downloading data.
Configure latitude, longitude, and the output folder, then run the code with internet connection to download weather data into the dwd download folder; monitor progress until completion.
Learn how to download and clean weather data for a designated study region using R, including creating clean data folders, verifying outputs, and handling missing values.
Automate temperature data formatting by preparing input and output folders, running the script, fixing a backslash error, and producing max and min temperatures to two decimals in a 1828-row comma-delimited file.
Extract elevation values for study-area points by verifying latitude-longitude order in arcgis, exporting point data, and applying a digital elevation model to generate per-point elevations.
Apply a Windows workflow to add elevation and other weather data to multiple files by converting extensions to CSV, pasting values from Excel, and verifying proper formatting.
Prepare the final weather data by creating a final data folder and copying PCP, humidity, wind, solar, and temperature files into it. Place the index file in the same folder.
Cross-check and reproject GIS data to UTM across land use, soil, and digital elevation model layers, exporting and cleaning data to ensure consistent data for ArcGIS and ArcSWAT.
Create a SWAT project folder at the main drive root to ensure proper operation. Avoid nesting folders inside other folders, as SWAT will not work when placed in subfolders.
Set hydraulic response unit definitions by assigning land use percentages with threshold limits, generate HRU materials, and review land use and soil reports for watersheds.
Run an arcSWAT simulation in arcGIS, set study dates and warm-up period, and read outputs including groundwater recharge, curve number, runoff, sediment yield, and total water yield.
Generate automatic diagrams of hydrological results from ArcSWAT in ArcGIS by running simulations, viewing outputs, and capturing screenshots of discharge, sediment, nitrogen cycle, and land-use data.
Extract discharge data from data folder, identify the flow out values in cubic meters per second for the fourth watershed, and plot a hydrograph in Excel from the table out.
ArcSWAT in the most widely used watershed simulation model in GIS. Most of the papers were accepted in peer review Journals that used SWAT model. This model has inbuilt data for the USA. But it does not have data for other countries. So we need to configure this model for non-us locations. Even you will be able to run this model for the USA after this course because we configure this model for the whole world. Only India has a different process to configure this model and a different for other countries. So I will cover all methods and prepare dataset, simulate two time this model for you one for India and one for any other country in the world. I will Start from scratch. Show you the configuration of data , data download, sources, modify data set, theoretical aspect, Practical . even after the simulation, This course will represent you how to illustrate results in Excel. So this course will cover the entire SWAT model. Advanced applications of R programming for weather data are also covered. You only need knowledge of two things, Landuse generation and ArcGIS Just basic not advanced. The rest of all you leave on me I will cover. You just need Basic GIS. The only thing is that you must have land use. After Enroll to this course you will get ready made soil map for SWAT for world also. You will also learn how to make it for SWAT. You will learn to setup all weather and climate data for swat. I hope you will publish good papers after learning this. You can also use this course for short term training course in your University. Just need to play on screen. Everything in this course is 90% practical. This course is advance course of GIS. Applicable to ArcGIS 10.0 to 10.7
Hardware Requirement: For small study area less than 10,000km/sq no Problem. But larger than this you must have a high-performance PC.