Zobrazeno 1 - 10
of 2 110
pro vyhledávání: '"Dispersion coefficient"'
Autor:
Amit Halder, Md. Shamim Anower
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract The paper presents a thorough investigation into the design of a Modified Core Hexa–Deca Photonic Crystal Fiber (MHD-PCF) with adjustable features to regulate dispersion and birefringence. At the target wavelength of 1550 nm, the suggested
Externí odkaz:
https://doaj.org/article/94745f16a0c2447aae2ee6102675a29f
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
Publikováno v:
Ceramics-Silikáty, Vol 67, Iss 4, Pp 403-410 (2023)
This study investigates the influence of different dosages of polycarboxylate superplasticisers on the mechanical properties of a High-Strength Engineered Cementitious Composite (HSECC), including the compressive strength, flexural strength, tensile
Externí odkaz:
https://doaj.org/article/ca78dc6f6a0c4e58b7c5843ca1ae4b40
Publikováno v:
Journal of Hydrology and Hydromechanics, Vol 71, Iss 3, Pp 316-330 (2023)
The modelling of solid transport in open channels requires good knowledge about parameters related to basic processes such as hydrodynamic dispersion, advection and decay rates. Such parameters are usually determined by dye tests. Numerous tracer stu
Externí odkaz:
https://doaj.org/article/07e1d15cf4244d42bfab15524a6f49bb
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