Zobrazeno 1 - 10
of 318
pro vyhledávání: '"longitudinal dispersion coefficient"'
Publikováno v:
Water Science and Technology, Vol 89, Iss 9, Pp 2209-2224 (2024)
The research presented in this paper is to determine the best tracer studies that will give acceptable estimates of longitudinal dispersion coefficient for Orashi river using rhodamine WT dye and sodium chloride as water tracer. Estimated results obt
Externí odkaz:
https://doaj.org/article/c7bd5c0a26bd48a0aac21999d738ba5c
Autor:
Samaneh Nojoumi Siahmard, Mehdi Meftah Halaghi, Mahdi Esmaeili Varaki, Amir Ahmad Dehghani, Abdolreza Zahiri
Publikováno v:
آب و فاضلاب, Vol 34, Iss 5, Pp 66-88 (2023)
The understanding of the mechanisms underlying the diffusion, advection, and mixing of pollutants constitutes a crucial aspect in monitoring water resources quality, particularly in the context of river systems. The longitudinal dispersion coefficien
Externí odkaz:
https://doaj.org/article/319471f116b4436291e38eb4b956951c
Publikováno v:
Water Science and Technology, Vol 88, Iss 10, Pp 2521-2532 (2023)
The model developed in this paper is an improved equation for the longitudinal dispersion coefficient, which is an important parameter used to monitor and check the assimilatory capacity of rivers. This research incorporates total suspended solids (S
Externí odkaz:
https://doaj.org/article/37ec1e3ff64d4255b820204c7a895d18
Publikováno v:
Water Practice and Technology, Vol 18, Iss 11, Pp 2775-2784 (2023)
Investigation of the water quality of rivers is a key point in Water Resources Engineering. The longitudinal dispersion coefficient is one of the foremost significant parameters in river water quality monitoring. Several parameters such as hydraulic,
Externí odkaz:
https://doaj.org/article/424ca863bd16464d8f1b3e06ccbdae2b
Autor:
Mahsa Gholami, Elham Ghanbari-Adivi, Mohammad Ehteram, Vijay P. Singh, Ali Najah Ahmed, Amir Mosavi, Ahmed El-Shafie
Publikováno v:
Ain Shams Engineering Journal, Vol 14, Iss 12, Pp 102223- (2023)
Prediction of the longitudinal dispersion coefficient (LDC) is essential for the river and water resources engineering and environmental management. This study proposes ensemble models for predicting LDC based on multilayer perceptron (MULP) methods
Externí odkaz:
https://doaj.org/article/a5b7b2f16c9f4ad1be7b246e46154940
Publikováno v:
Горные науки и технологии, Vol 8, Iss 1, Pp 47-58 (2023)
Determining the sources of hazardous and toxic substances released into mine air, their gas composition, as well as providing each such source of pollution with the required amount of fresh air are important issues in terms of ensuring normal healthy
Externí odkaz:
https://doaj.org/article/d9322c682e2e41d38d869031db06e3c7
Autor:
Tao Hai, Hongwei Li, Shahab S. Band, Sadra Shadkani, Saeed Samadianfard, Sajjad Hashemi, Kwok-Wing Chau, Amir Mousavi
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 16, Iss 1, Pp 2206-2220 (2022)
Accurate estimation of the longitudinal dispersion coefficient (LDC) is essential for modeling the pollution status in rivers. This research investigates the capabilities of machine-learning methods such as multi-layer perceptron (MLP), multi-layer p
Externí odkaz:
https://doaj.org/article/2c381ca8d63a42469104d3c6126a7254
Akademický článek
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Publikováno v:
Journal of Hydroinformatics, Vol 24, Iss 3, Pp 517-534 (2022)
Determination of the longitudinal dispersion coefficient (LDC) is fundamental to the development of strategies for environmental management of river systems. This paper presents an integrated model for an estimation of the longitudinal dispersion coe
Externí odkaz:
https://doaj.org/article/4b1428833bee4a6eba8100b8aa339ee4
Autor:
Leonardo Goliatt, Sadeq Oleiwi Sulaiman, Khaled Mohamed Khedher, Aitazaz Ahsan Farooque, Zaher Mundher Yaseen
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 15, Iss 1, Pp 1298-1320 (2021)
Among several indicators for river engineering sustainability, the longitudinal dispersion coefficient ( $ K_x $ ) is the main parameter that defines the transport of pollutants in natural streams. Accurate estimation of $ K_x $ has been challenging
Externí odkaz:
https://doaj.org/article/93d7c2175e7345e9a59a025102dbb320