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Akademický článek

Seasonal water temperature variations in response to air temperature and precipitation in a forested headwater stream and an urban river: a case study from the Bukhan River basin, South Korea

Autor: Sooyoun Nam, Su-Jin Jang, Kun-Woo Chun, Jae Uk Lee, Suk Woo Kim

Publikováno v: Forest Science and Technology, Vol 17, Iss 1, Pp 46-55 (2021)

Seasonal water temperature variations in response to air temperature and precipitation were examined in a forested headwater stream (Yeonyeop stream, YS) and an urban river (Bukhan River, BR) within the same basin. In both sites, precipitation and ai

Externí odkaz: https://doaj.org/article/51a2218d04d848dcb4a4baad9b96e855

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Akademický článek

Simple Optimal Sampling Algorithm to Strengthen Digital Soil Mapping Using the Spatial Distribution of Machine Learning Predictive Uncertainty: A Case Study for Field Capacity Prediction

Autor: Hyunje Yang, Honggeun Lim, Haewon Moon, Qiwen Li, Sooyoun Nam, Jaehoon Kim, Hyung Tae Choi

Publikováno v: Land, Vol 11, Iss 11, p 2098 (2022)

Machine learning models are now capable of delivering coveted digital soil mapping (DSM) benefits (e.g., field capacity (FC) prediction); therefore, determining the optimal sample sites and sample size is essential to maximize the training efficacy.

Externí odkaz: https://doaj.org/article/32a4ec296b4d4a549e22eb3d9205c3f9

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Short-Term Effects of Forest Fire on Water Quality along a Headwater Stream in the Immediate Post-Fire Period

Autor: Sooyoun Nam, Hyunje Yang, Honggeun Lim, Jaehoon Kim, Qiwen Li, Haewon Moon, Hyung Tae Choi

Publikováno v: Water; Volume 15; Issue 1; Pages: 131

Changes in water quality were examined during selected rainfall events in a headwater stream severely damaged by a forest fire on 21–23 February 2021. Seven water quality parameters were analyzed: pH, electrical conductivity, biochemical oxygen dem

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f21b7ca2da53795ad68a5b32f92bbd6c

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Identifying the Minimum Number of Flood Events for Reasonable Flood Peak Prediction of Ungauged Forested Catchments in South Korea

Autor: Hyunje Yang, Honggeun Lim, Haewon Moon, Qiwen Li, Sooyoun Nam, Byoungki Choi, Hyung Tae Choi

Publikováno v: Forests; Volume 14; Issue 6; Pages: 1131

The severity and incidence of flash floods are increasing in forested regions, causing significant harm to residents and the environment. Consequently, accurate estimation of flood peaks is crucial. As conventional physically based prediction models

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a40ad8bdcc69050aa18ce449a0726cc7
https://doi.org/10.3390/f14061131

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