Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Gholamreza Andalib"'
Publikováno v:
رویکردهای نوین در مهندسی عمران, Vol 2, Iss 4, Pp 53-69 (2019)
This research investigated LULC changes and its effect on outlet runoff by detecting LULC changes location and severity via an inverse method for the Little River Watershed, USA. In this research, the artificial intelligence and soft computing capabi
Externí odkaz:
https://doaj.org/article/fa9ae4a9926942e9916e78541187a993
Autor:
Vahid Nourani, Gholamreza Andalib
Publikováno v:
رویکردهای نوین در مهندسی عمران, Vol 1, Iss 2, Pp 46-55 (2018)
Simulation and evaluation of sediment and extending the relation among streamflow and sediment is an important and applicable issue in the water resource management which is useful in the organizing reservoirs, rivers and avoiding additional costs. I
Externí odkaz:
https://doaj.org/article/41b096f45e7f4790bd7b9ed0c5473a61
Publikováno v:
Journal of Hydrology. 562:371-384
Land Use and Land Cover (LULC) changes intrinsically lead to various hydrological impacts especially on the outflow rate of the watersheds. This research investigated LULC changes and its effect on outlet runoff by detecting LULC changes location and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a754141bd55f6df3875accf134f1b09d
https://doi.org/10.1016/j.jhydrol.2018.05.018
https://doi.org/10.1016/j.jhydrol.2018.05.018
Publikováno v:
Hydrology Research. 49:1191-1207
In this paper, runoff time series of the sub-basins in a cascade form were decomposed by Wavelet Transform (WT) to extract their dynamical and multi-scale features for modeling Multi-Station (MS) rainfall-runoff (R-R) process of the Little River Wate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::032a30cdfd8abc944521ce0a7ec5aa2d
https://doi.org/10.2166/nh.2017.045
https://doi.org/10.2166/nh.2017.045
Publikováno v:
Journal of Hydrology. 548:170-183
Accurate nitrate load predictions can elevate decision management of water quality of watersheds which affects to environment and drinking water. In this paper, two scenarios were considered for Multi-Station (MS) nitrate load modeling of the Little
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76a8c6af2cf5fbc68d48bd58cd48ef12
https://doi.org/10.1016/j.jhydrol.2017.03.002
https://doi.org/10.1016/j.jhydrol.2017.03.002
Publikováno v:
Procedia Computer Science. 120:617-624
In this research, the hybrid of threshold based wavelet denoising with Extreme Learning Machine (ELM) and Least Square Support Vector Machine (LSSVM) models would be investigated in order to forecast Snoqualmie watershed daily Multi-Station (MS) stre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a5cac5d6294940efb483b05a0dcec70
https://doi.org/10.1016/j.procs.2017.11.287
https://doi.org/10.1016/j.procs.2017.11.287
Publikováno v:
SN Applied Sciences. 1
Active vibration control systems involve sensing and actuation systems to be integrated into a structure. The actuator generates control forces based on sensed external excitation and system response and applies forces directly to the structure in or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da7167e88a0fc0aadac7753d40b550e3
https://doi.org/10.1007/s42452-019-0210-4
https://doi.org/10.1007/s42452-019-0210-4
Autor:
Gholamreza Andalib, Vahid Nourani
Publikováno v:
Journal of Mountain Science. 12:85-100
In the current study, the efficiency of Wavelet-based Least Square Support Vector Machine (WLSSVM) model was examined for prediction of daily and monthly Suspended Sediment Load (SSL) of the Mississippi River. For this purpose, in the first step, SSL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d712b29c6a0111fcaae0e7e88a269ff3
https://doi.org/10.1007/s11629-014-3121-2
https://doi.org/10.1007/s11629-014-3121-2
Autor:
Vahid Nourani, Gholamreza Andalib
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319148021
ACALCI
ACALCI
In this paper, the efficiency of a Wavelet-based Least Square Support Vector Machine (WLSSVM) model was examined for prediction of monthly Suspended Sediment Load (SSL) of the Aji-Chay River. First the SSL was predicted via ad hoc Least Square Suppor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c6e79c87c5cfd13b8d70031c91e884b
https://doi.org/10.1007/978-3-319-14803-8_33
https://doi.org/10.1007/978-3-319-14803-8_33
