default author photo

Seonggyu Park

affiliation not provided to SSRN

  • affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

303

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

Enhancement of the Swat+ Model for Simulating Paddy Rice Cultivation and Irrigation Management in Agricultural Watersheds

Number of pages: 48 Posted: 29 Oct 2024
Jaehak Jeong, Jeff Arnold, Seonggyu Park, Ricardo Sorando, Soon-Kun Choi and Min-Kyeong Kim
affiliation not provided to SSRN, Grassland Soil and Water Research Laboratory, affiliation not provided to SSRN, University of Valencia, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 144 (524,371)

Abstract:

Loading...

agricultural irrigation management, paddy management, SWAT+, watershed hydrology, hydrologic simulation

2.

Daycent-Cute: A Global Sensitivity, Auto-Calibration, and Uncertainty Analysis Tool for Daycent

Number of pages: 32 Posted: 04 May 2023
Xiuying Wang, Jaehak Jeong, Seonggyu Park, Xuesong Zhang, Jungang Gao and Nelida Silvero
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 110 (649,907)

Abstract:

Loading...

Soil organic carbon, Global Sensittivity Analysis, uncertainty analysis, Auto-calibration, Ecosystem model

3.

Integrating Machine Learning for Enhanced Wildfire Severity Prediction: A Study in the Upper Colorado River Basin

Number of pages: 41 Posted: 04 Jun 2024
Heechan Han, Tadesse Abitew, Hadi Bazrkar, Seonggyu Park and Jaehak Jeong
Chosun University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 49 (1,086,013)

Abstract:

Loading...

Machine learning algorithms, Upper Colorado River basin, Wildfire severity prediction