Prediction of Area Vulnerable to Gullying based on Geomorphic Threshold Theory

W. J. Wang, R. X. Deng

2018

Abstract

Chosen type Black Soil Area of Northeast China which locates in the Wuyuer river and Nemoer river basin as study area, taken SPOT5 imagery as data source, gully distribution data in 2005 was get. At the same time, taken 1:50000 relief maps as data source, DEM was obtained and then it extracted the slope and accumulation area of headcut. Based on the geomorphic threshold theory S=aA-b, it acquire the geomorphic threshold model of study area S=1.2482A-0.0936. By the model, the area vulnerable to gullying was predicted. It showed that the percent of correct prediction gully pixels is 79.43%, and the percent of area vulnerable to gullying is 51.79%.The prediction accuracy is 0.723%. The prediction of area vulnerable to gullying has a acceptable accuracy. The model can discern the area vulnerable to gullying and it can provide scientific suggestion for the erosion control.

Paper Citation

in Harvard Style

Wang W. and Deng R. (2018). Prediction of Area Vulnerable to Gullying based on Geomorphic Threshold Theory.In Proceedings of the International Workshop on Environmental Management, Science and Engineering - Volume 1: IWEMSE, ISBN 978-989-758-344-5, pages 718-722. DOI: 10.5220/0007565007180722

in Bibtex Style

@conference{iwemse18,
author={W. J. Wang and R. X. Deng},
title={Prediction of Area Vulnerable to Gullying based on Geomorphic Threshold Theory},
booktitle={Proceedings of the International Workshop on Environmental Management, Science and Engineering - Volume 1: IWEMSE,},
year={2018},
pages={718-722},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007565007180722},
isbn={978-989-758-344-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the International Workshop on Environmental Management, Science and Engineering - Volume 1: IWEMSE,
TI - Prediction of Area Vulnerable to Gullying based on Geomorphic Threshold Theory
SN - 978-989-758-344-5
AU - Wang W.
AU - Deng R.
PY - 2018
SP - 718
EP - 722
DO - 10.5220/0007565007180722