Simulating Landscape Hydrologic Connectivity in a Precise Manner Using Hydro-Conditioning

Rallapalli Srinivas, Matt Drewitz, Joe Magner, Ajit Pratap Singh, Dhruv Kumar, Yashwant Bhaskar Katpatal

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

High resolution Light Detection and Ranging (LiDAR)-derived Digital Elevation Models (DEMs) have significantly enhanced hydrological modeling and agricultural planning. However, it is important to accurately simulate the landscape flow network by modifying the LiDAR derived DEM. Hydro-conditioning identifies false pools and depressions and places breach lines to ensure continuous flow through the surfaces such as bridges, culverts, and railroads. This study explores the variations in the criteria namely flow network, impeded flows, depression etc. which determine the finest locations of best management practices using watershed models. Study compares different levels of hydro-conditioned DEMs for the Plum Creek sub-watershed, Minnesota. Results indicate that both manual and automated ‘hDEMs’ facilitate field scale planning and practice siting to different degrees. Outcomes help in planning cost-effective precision agriculture activities.

Original languageEnglish (US)
Title of host publicationAdvances in Computational Modeling and Simulation
EditorsRallapalli Srinivas, Rajesh Kumar, Mainak Dutta
PublisherSpringer Science and Business Media Deutschland GmbH
Pages209-215
Number of pages7
ISBN (Print)9789811678561
DOIs
StatePublished - 2022
EventGlobal meet on Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020 - Virtual, Online
Duration: Oct 16 2020Nov 7 2020

Publication series

NameLecture Notes in Mechanical Engineering
ISSN (Print)2195-4356
ISSN (Electronic)2195-4364

Conference

ConferenceGlobal meet on Computational Modelling and Simulation, Recent Innovations, Challenges and Perspectives, 2020
CityVirtual, Online
Period10/16/2011/7/20

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Agricultural planning
  • Hydro-conditioning
  • Hydrology
  • LiDAR

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