Proceedings of the 2018 2nd International Conference on Education Innovation and Social Science (ICEISS 2018)

An Integrated Entropy-TOPSIS Method for Soil Conservation Assessment in Qijiachuan Demonstration Area

Authors
Chunxiao Wang, Linjing Yan, Xiangming Kong, Jing Zhao, Yongping Li
Corresponding Author
Chunxiao Wang
Available Online December 2018.
DOI
https://doi.org/10.2991/iceiss-18.2018.68How to use a DOI?
Keywords
Soil conservation; TOPSIS; Entropy; Qijiachuan; Yellow River
Abstract
In this study, an entropy theory based technique for order preference by similarity to an ideal solution (Entropy-TOPSIS) method is proposed for assessing soil conservation benefits in Qijiachuan demonstration area of Yellow River basin. Entropy-TOPSIS method integrating entropy theory into TOPSIS model can deal with qualitative and quantitative data during assessment processes. The developed method is then applied to soil conservation assessment in Qijiachuan demonstration area. Soil conserved of different measures in different periods has been calculated. Results indicate that soil conserved in period 3 (2028-2037) ranks the first due to the high vegetation coverage. Soil conserved of cellar, gully head protection and check dam would decrease from period 1 (2008-2017) to period 3 due to the reduced function after years of silting up. Thus, it is necessary to take good maintenance measures to promote function recovery of gully head control measures.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Cite this article

TY  - CONF
AU  - Chunxiao Wang
AU  - Linjing Yan
AU  - Xiangming Kong
AU  - Jing Zhao
AU  - Yongping Li
PY  - 2018/12
DA  - 2018/12
TI  - An Integrated Entropy-TOPSIS Method for Soil Conservation Assessment in Qijiachuan Demonstration Area
BT  - Proceedings of the 2018 2nd International Conference on Education Innovation and Social Science (ICEISS 2018)
PB  - Atlantis Press
SP  - 278
EP  - 282
SN  - 2352-5398
UR  - https://doi.org/10.2991/iceiss-18.2018.68
DO  - https://doi.org/10.2991/iceiss-18.2018.68
ID  - Wang2018/12
ER  -