Udemy

ArcSWAT Model with ArcGIS - Run for any Study Area - GIS

立即報名
  • 2,533 名學生
  • 更新於 9/2025
4.5
(676 個評分)
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課程資料

報名日期*
全年招生
課程級別
學習模式
修業期
7 小時 59 分鐘
教學語言
英語
授課導師
Lakhwinder Singh
評分
4.5
(676 個評分)
課程連結
*提示: 以上時間表僅供參考,以機構網站為準。

課程簡介

ArcSWAT Model with ArcGIS  - Run for any Study Area - GIS

Watershed Simulation using ArcSWAT. Get Discharge, Rainfall‐Runoff Modeling of Ungauged Catchments. This is advance GIS

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.

課程章節

  • 17 個章節
  • 76 堂課
  • 第 1 章 Introduction
  • 第 2 章 Downloading and Installation of SWAT
  • 第 3 章 Data Preparation -1 Downloading and change Settings to run model, Soil,Climate
  • 第 4 章 Data Preparation -2 Prepare Digital Elevation Model for Watershed, Mosaic DEM
  • 第 5 章 Data Preparation - 3 Prepare Landuse and Country shapefile for Soil Data
  • 第 6 章 Data Preparation - 4 Prepare Soil Data for SWAT
  • 第 7 章 Data Preparation - 5 Automate Weather Data Processing using R 2025
  • 第 8 章 Data Preparation - 6 Cross check data and Re-Project
  • 第 9 章 Starting SWAT Model
  • 第 10 章 Watershed Simulation and Discharge
  • 第 11 章 Manual calibration in SWAT Model
  • 第 12 章 Simulate Based on Average Climate Data
  • 第 13 章 Download Data used in this course and Finalize
  • 第 14 章 Miscellaneous Tasks - Creating WGEN File from Station Data
  • 第 15 章 Data processing: Expired Videos 1
  • 第 16 章 Weather data Processing: Experied videos 2
  • 第 17 章 Explore More

課程內容

  • Discharge in Cubic meter Per Second at Watershed outlet, Daily Monthly and yearly, Watershed and Sub-watershed delineation using SWAT, Configure SWAT model for any Area in World, Groundwater Recharge, Sediment at outlet (Soil Erosion), Water Yield, Water Quality, Simulation of Daily Data, Data preparation for SWAT, Updating SWAT Database, Understanding advance task of Simulation, Working with daily data and working without data, Configure Data set for India, Evaporation and Evapotranspiration, Watershed Simulation, Successfully run The SWAT Model, Preparation of Soil Map of Any country, Mosaic of DEM, R programming applications for weather data


評價

  • P
    Prithviraj Yeshwanth Pawar
    5.0

    Good job!!!

  • M
    Manojkumar Ghongade
    5.0

    excellent

  • S
    Saeid Barazandeh
    5.0

    Perfect

  • S
    Sukla Hazra
    5.0

    It's good for me

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