Zobrazeno 1 - 10
of 56
pro vyhledávání: '"Min-Won Jang"'
Publikováno v:
Hydrology, Vol 11, Iss 10, p 162 (2024)
This study explored the impacts of various rainfall input types on short-term runoff simulations using the Cell2Flood model in the Waryong Reservoir Basin, South Korea. Six types of rainfall data were assessed: on-site gauge measurements, spatially i
Externí odkaz:
https://doaj.org/article/04df190bc6d34cc9858a337c4f55afee
Publikováno v:
Atmosphere, Vol 13, Iss 11, p 1887 (2022)
Storage rate forecasting for the agricultural reservoir is helpful for preemptive responses to disasters such as agricultural drought and planning so as to maintain a stable agricultural water supply. In this study, SVM, RF, and ANN machine learning
Externí odkaz:
https://doaj.org/article/5b0dea936fb843d6a060c83caaa0c5f6
Spatiotemporal Assessment of Agricultural Drought Using a Cell-Based Daily Soil Water Analysis Model
Publikováno v:
Water, Vol 12, Iss 11, p 3118 (2020)
This study developed a cell-based daily soil water analysis model (CellSW) for evaluating agricultural drought and calculated an agricultural drought index called the “Rainfall Effectiveness Index for Crop” (REIC). The model analyzed a daily soil
Externí odkaz:
https://doaj.org/article/44295edfe996424d964c741eef1aafca
Publikováno v:
Water, Vol 11, Iss 12, p 2437 (2019)
This study aims to assess the spatiotemporal characteristics of agricultural droughts in Bangladesh during 1981−2015 using the Effective Drought Index (EDI). Monthly precipitation data for 36 years (1980−2015) obtained from 27 metrological statio
Externí odkaz:
https://doaj.org/article/db3b53cbf5af486da6beaa3b6cbce0a7
Publikováno v:
Water, Vol 11, Iss 11, p 2219 (2019)
The impacts of climate change on precipitation and drought characteristics over Bangladesh were examined by using the daily precipitation outputs from 29 bias-corrected general circulation models (GCMs) under the representative concentration pathway
Externí odkaz:
https://doaj.org/article/d0541d6e26174558b20918c7748d2117
Publikováno v:
Water, Vol 8, Iss 12, p 554 (2016)
Paddy rice constitutes a staple crop in Korea. This study conducted sensitivity analysis to evaluate the vulnerability of paddy rice to future climate change, and compared temporal and regional characteristics to classify regions with unfavorable wat
Externí odkaz:
https://doaj.org/article/c4c94a575e494f7283e730010378bbfb
Publikováno v:
The Journal of Korean Society of Rural Planning. 28:105-117
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3f57696cbb9513c0ad0d44c73b6920c8
https://doi.org/10.7851/ksrp.2022.28.4.105
https://doi.org/10.7851/ksrp.2022.28.4.105
Autor:
Kyung-Hun Jeong, Oh， Seung-Heon, Joo， Dong-Hyuk, Song， Suk-Ho, Yoo， Seung-Hwan, Seung-Jong Bae, Jung， Hyoung-Mo, Kim Soo-Jin, Hwang， Syewoon, Min-Won Jang, Lim， Se-Yun
Publikováno v:
The Journal of Korean Society of Rural Planning. 26:81-91
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1513c7c849bb98b0f0b9b9c5193cc6b9
https://doi.org/10.7851/ksrp.2020.26.4.081
https://doi.org/10.7851/ksrp.2020.26.4.081
Publikováno v:
The Journal of Korean Society of Rural Planning. 26:53-65
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3afcee6c278817866a26e524b76e3c9d
https://doi.org/10.7851/ksrp.2020.26.4.053
https://doi.org/10.7851/ksrp.2020.26.4.053
Publikováno v:
Sustainability; Volume 14; Issue 18; Pages: 11674
A linear regression machine learning model to estimate the reference evapotranspiration based on temperature data for South Korea is developed in this study. FAO56 Penman–Monteith (FAO56 P–M) reference evapotranspiration calculated with meteorolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a6a91917f728ea23ef1df501b954696
https://doi.org/10.3390/su141811674
https://doi.org/10.3390/su141811674