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Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees

Environmental Software and Modelling
By: , , and 
https://doi.org/10.1016/j.envsoft.2023.105667

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Abstract

Anthropogenic hydrologic alteration threatens the health of riverine ecosystems. Machine learning algorithms that employ the use of model trees to predict hydrologic alteration are underrepresented in related literature. This study assesses hydrologic alteration in the Pearl and Pascagoula River basins using modeled daily streamflow. Hydrologic alteration was determined by hypothesis testing and the computation of the net change across 60 years. Cubist models were developed for both basins to predict hydrologic alteration and to identify important basin characteristics. Results from net change and the hypothesis test indicated the basins were essentially identical with respect to the amount of hydrologic alteration. Cubist models for the basins successfully made accurate predictions of hydrologic alteration and demonstrated that the importance of basin geomorphology and land cover on alteration differed in both basins. The results of the study demonstrate the feasibility of model trees in assessing hydrologic alteration.

Study Area

Publication type Article
Publication Subtype Journal Article
Title Investigating hydrologic alteration in the Pearl and Pascagoula River basins using rule-based model trees
Series title Environmental Software and Modelling
DOI 10.1016/j.envsoft.2023.105667
Volume 163
Year Published 2023
Language English
Publisher Elsevier
Contributing office(s) Lower Mississippi-Gulf Water Science Center
Description 105667, 10 p.
Country United States
State Mississippi
Other Geospatial Pascagoula River basin
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