Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Heechan Han"'
Publikováno v:
Water Science and Technology, Vol 88, Iss 3, Pp 556-571 (2023)
Precipitation is one of the driving forces in water cycles, and it is vital for understanding the water cycle, such as surface runoff, soil moisture, and evapotranspiration. However, missing precipitation data at the observatory becomes an obstacle t
Externí odkaz:
https://doaj.org/article/000d83525f7c4ba6a22019201db9f24b
Publikováno v:
Water Supply, Vol 23, Iss 2, Pp 934-947 (2023)
Accurate prediction of dam inflows is essential for effective water resources management in terms of both water quantity and quality. This study aims to develop a Long Short-Term Memory (LSTM) deep learning-based monthly dam inflow prediction model u
Externí odkaz:
https://doaj.org/article/93d0931f12be44e7a358790b467cb0b4
Autor:
Jaewon Jung, Heechan Han
Publikováno v:
Water, Vol 14, Iss 24, p 4045 (2022)
Given the increasing climate variability, it is becoming difficult to predict flooding events. We may be able to manage or even prevent floods if detecting global climate patterns, which affect flood occurrence, and using them to make predictions are
Externí odkaz:
https://doaj.org/article/b83a4ee9a59240d6bd83dd60eb1626d5
Publikováno v:
Applied Sciences, Vol 12, Iss 13, p 6699 (2022)
Accurate pollutant prediction is essential in fields such as meteorology, meteorological disasters, and climate change studies. In this study, long short-term memory (LSTM) and deep neural network (DNN) models were applied to six pollutants and compr
Externí odkaz:
https://doaj.org/article/84c2d6d4848d415bb465f7f662c40a5e
Publikováno v:
Water, Vol 14, Iss 9, p 1512 (2022)
The importance of efficient water resource supply has been acknowledged, and it is essential to predict short-term water consumption in the future. Recently, it has become possible to obtain data on water consumption at the household level through sm
Externí odkaz:
https://doaj.org/article/7483f4f112ac47839a833d1189f0e214
Publikováno v:
Water, Vol 14, Iss 9, p 1366 (2022)
As flood damage is becoming more frequent and severe worldwide, efficient flood control of dams has been highlighted. The purpose of the study is to establish a simple method for dam operators to estimate the flood control capacity and predischarge l
Externí odkaz:
https://doaj.org/article/a85d108c018e4b49a66eddad263c4a1a
Publikováno v:
Water, Vol 14, Iss 7, p 1159 (2022)
The inundation of urban areas has frequently occurred as a result of the localized heavy precipitation and flash floods in both South Korea and globally. Metropolitan areas with higher property value and population density than rural areas need pract
Externí odkaz:
https://doaj.org/article/9b8d9f1c14724c19ae09721cee7fb220
Publikováno v:
Water, Vol 14, Iss 3, p 466 (2022)
Accurate water level prediction is one of the important challenges in various fields such as hydrology, natural disasters, and water resources management studies. In this study, a deep neural network and a long short-term memory model were applied fo
Externí odkaz:
https://doaj.org/article/b6c744e9316443998a939e9c409eb67d
Publikováno v:
Water, Vol 14, Iss 2, p 219 (2022)
For risk assessment, two methods, quantitative risk assessment and qualitative risk assessment, are used. In this study, we identified the regional risk level for a disaster-prevention plan for an overall area at the national level using qualitative
Externí odkaz:
https://doaj.org/article/57338695eaa44f79841024550e765ba7
Publikováno v:
Water, Vol 13, Iss 18, p 2584 (2021)
Accurate prediction of soil moisture is important yet challenging in various disciplines, such as agricultural systems, hydrology studies, and ecosystems studies. However, many data-driven models are being used to simulate and predict soil moisture a
Externí odkaz:
https://doaj.org/article/9385c0dcf38648b79b9d0a9ac7a0269d