Zobrazeno 1 - 10
of 73
pro vyhledávání: '"Jeill Oh"'
Autor:
Eza Ramadhan, Jeill Oh
Publikováno v:
Water Science and Technology, Vol 88, Iss 11, Pp 3024-3043 (2023)
The integration of wastewater heat recovery (WWHR) and wastewater reuse offers a numerous advantage, making its application possible in various sectors. Nevertheless, this concept faced challenges to the identification of appropriate location. Existi
Externí odkaz:
https://doaj.org/article/4669e0ce589945748cceb49337e45642
Publikováno v:
Water Science and Technology, Vol 87, Iss 6, Pp 1438-1453 (2023)
The aim of this study is to present criteria to evaluate the resilience of sewer networks related to ground collapse and urban flooding likely to occur in a specific region and then to determine the ranks of the sewer networks resilience of the selec
Externí odkaz:
https://doaj.org/article/3057d994a188463b88f64279bdc5bf33
Publikováno v:
Water Science and Technology, Vol 87, Iss 4, Pp 969-986 (2023)
Old wastewater treatment plants (WWTPs) must be upgraded to alleviate the problems associated with aging and reduce their total environmental impacts. To enhance the environmental sustainability in retrofitting large and old WWTPs, the decision-makin
Externí odkaz:
https://doaj.org/article/4ec62cbfa7474a078d47f3512af47ee7
Publikováno v:
Water Science and Technology, Vol 85, Iss 1, Pp 188-205 (2022)
Generally, when evaluating the resilience of infrastructure, the four properties of resilience (robustness, rapidity, resources, and redundancy, 4Rs) are widely considered. However, there is little research on the resilience assessment of sewer netwo
Externí odkaz:
https://doaj.org/article/7670dcc7835948a7ae66ae14ae7bc58b
Publikováno v:
IEEE Access, Vol 10, Pp 32150-32160 (2022)
When used as an image processing method, convolutional neural networks (CNNs) cannot verify conditions that can achieve high performance; however, they show sufficiently high performance and are used in various fields. The architecture of a CNN and v
Externí odkaz:
https://doaj.org/article/f339a06eedb24b599480cfd4930fe895
Publikováno v:
대한환경공학회지, Vol 42, Iss 8, Pp 393-404 (2020)
Objectives The objective of this study was to develop the performance indicators (PIs) framework for the assessment of sewerage services, especially focused on the case of the Seoul Metropolitan Government (SMG). Methods For the prioritization of
Externí odkaz:
https://doaj.org/article/9f512690243a4982a613577a1bf291e1
Autor:
Peiman Parisouj, Esmaiil Mokari, Hamid Mohebzadeh, Hamid Goharnejad, Changhyun Jun, Jeill Oh, Sayed M. Bateni
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7464 (2022)
Accurate rainfall-runoff modeling is crucial for water resource management. However, the available models require more field-measured data to produce accurate results, which has been a long-term issue in hydrological modeling. Machine learning (ML) m
Externí odkaz:
https://doaj.org/article/ab78baf63741449683d0ab25f095b1bf
Publikováno v:
Remote Sensing, Vol 13, Iss 14, p 2786 (2021)
This paper proposes a novel hybrid method for flood susceptibility mapping using a geographic information system (ArcGIS) and satellite images based on the analytical hierarchy process (AHP). Here, the following nine multisource environmental control
Externí odkaz:
https://doaj.org/article/778f742b9d1d4d07bdb70d66b9538edb
Publikováno v:
Applied Sciences, Vol 10, Iss 24, p 9002 (2020)
This study investigated the impact of effluent organic matter (EfOM) from wastewater effluent on the properties of organic matter in receiving water and the efficiency of its removal using photocatalysis. The organic matter is characterized using flu
Externí odkaz:
https://doaj.org/article/df89b1e381f6477eb70842444fa4d053
Publikováno v:
The Journal of Supercomputing. 79:4412-4435
Sanitary sewer overflows caused by excessive rainfall derived infiltration and inflow is the major challenge currently faced by municipal administrations, and therefore, the ability to correctly predict the wastewater state of the sanitary sewage sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b9340d1df6fe7184cb8939ca5972fcfa
https://doi.org/10.1007/s11227-022-04827-3
https://doi.org/10.1007/s11227-022-04827-3