Translator Disclaimer
28 December 2020 Evaluation of Sustainable Use of Water Resources Based on Random Forest: A Case Study in the Lishui River Basin, Central China
Author Affiliations +
Abstract

Xie, C.; Chao, L.; Shi, D., and Ni, Z., 2020. Evaluation of sustainable use of water resources based on random forest: A case study in the Lishui River basin, Central China. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 134–136. Coconut Creek (Florida), ISSN 0749-0208.

The evaluation of the sustainable use of water resources is an important part in the study of the ideal allocation of water resources. Selecting relevant evaluation indices with diverse scientific characteristics directly affects the accuracy of the results of water resource assessment. A machine learning method, random forest (RF), was applied to evaluate the sustainable use of water resources in the Lishui River basin of Hunan province. Python software was used to analyze eight correlating indices of the data set, create the visual matrix diagram of the original data collection and distribution points, and then analyze the evaluation results of this method. Based on a comparison with artificial neural networks (ANN) and support vector machines (SVM), the RF method evaluation results were considered reasonable and reliable with greater stability, accuracy, and practicability, and a classification evaluation standard rate of 99.6%.

©Coastal Education and Research Foundation, Inc. 2020
Chengyu Xie, Lei Chao, Dongping Shi, and Zhou Ni "Evaluation of Sustainable Use of Water Resources Based on Random Forest: A Case Study in the Lishui River Basin, Central China," Journal of Coastal Research 105(sp1), 134-136, (28 December 2020). https://doi.org/10.2112/JCR-SI105-028.1
Received: 10 August 2020; Accepted: 30 August 2020; Published: 28 December 2020
JOURNAL ARTICLE
3 PAGES


SHARE
ARTICLE IMPACT
RIGHTS & PERMISSIONS
Get copyright permission
Back to Top