scholarly journals Estimation of Hydrological Parameters from Geoelectrical Measurements

10.5772/67990 ◽  
2017 ◽  
Author(s):  
Héctor José Peinado Guevara ◽  
Jaime Herrera Barrientos ◽  
Omar Delgado Rodríguez ◽  
Víctor Manuel Peinado Guevara ◽  
Omar Llanes Cárdenas ◽  
...  
Keyword(s):  
Hydrological Parameters

Diatoms and aquatic palynomorphs in the sediments of the Eurasian Arctic seas and their significance for paleooceanological investigations in the Arctic

2019 ◽  
pp. 246-251
Author(s):  
Yelena I. Polyakova ◽  
Yekaterina I. Novichkova ◽  
Tatiana S. Klyuvitkina ◽  
Elizaveta A. Agafonova ◽  
Irina M. Kryukova
Keyword(s):  
Bering Sea ◽  
Surface Sediments ◽  
Sea Water ◽  
The Arctic ◽  
Marginal Filter ◽  
Arctic Seas ◽  
Hydrological Parameters ◽  
The Arctic Ocean ◽  
Long Term Studies

Presented the results of long-term studies of diatoms and aquatic palynomorphs in surface sediments of the Arctic seas and the possibility of their use for the reconstructions of paleocirculation water masses, advection of Atlantic and Bering sea water into the Arctic ocean, changes in the river runoff to the seas, sedimentary processes in the marginal filter of the largest rivers, seasonal sea ice cover and other hydrological parameters.

A multi-source approach to hydrologic parameter estimation in urban basins

1995 ◽  
Vol 32 (1) ◽  
pp. 233-239
Author(s):  
Néstor A. Campana ◽  
Eduardo M. Mendiondo ◽  
Carlos E. M. Tucci
Keyword(s):  
Open Space ◽  
Remote Sensing And Gis ◽  
Metropolitan Region ◽  
Basic Information ◽  
Bare Ground ◽  
Porto Alegre ◽  
Rainfall Events ◽  
Thematic Map ◽  
Hydrological Parameters ◽  
Source Data

A procedure for estimating hydrological parameters is presented which combines a) remote sensing and GIS techniques with b) data extracted from site visits to city districts; the estimate so obtained is compared with estimates from rainfall data. It is developed in urban sub-basins of Dilúvio Basin in the metropolitan region of Porto Alegre, Brazil. A Fuzzy Algorithm which performs within sub-pixel level is used. Cover classes studied are: highly and slightly impervious, bare ground, grassed open space, and forest. A soil thematic map is determined based on pedological studies. A final distributed thematic map of potential runoff is obtained by superimposing previous data. It is compared with lumped runoff potential from rainfall events in sub-basins. These broad multi-source data hold basic information to develop an alternative strategy for hydrologic studies in urban basins.

Assessment of eco-hydrological parameters for important sympodial bamboo species in Himalayan foothills

2021 ◽  
Vol 193 (8) ◽  
Author(s):  
Rajesh Kaushal ◽  
Ambrish Kumar ◽  
N. M. Alam ◽  
I. Singh ◽  
D. Mandal ◽  
...  
Keyword(s):  
Bamboo Species ◽  
Hydrological Parameters ◽  
Himalayan Foothills

Forecasting hydrological parameters for reservoir system utilizing artificial intelligent models and exploring their influence on operation performance

2019 ◽  
Vol 163 ◽  
pp. 907-926 ◽  
Author(s):  
Mohammed Falah Allawi ◽  
Othman Jaafar ◽  
Firdaus Mohamad Hamzah ◽  
Suhana Binti Koting ◽  
Nuruol Syuhadaa Binti Mohd ◽  
...  
Keyword(s):  
Operation Performance ◽  
Artificial Intelligent ◽  
Hydrological Parameters ◽  
Reservoir System ◽  
Intelligent Models

scholarly journals Sediment Transport Dynamism in the Confluence Area of Two Rivers Transporting Mainly Suspended Sediment Based on Sentinel-2 Satellite Images

Water ◽  
2021 ◽  
Vol 13 (21) ◽  
pp. 3132
Author(s):  
Ahmed Mohsen ◽  
Ferenc Kovács ◽  
Gábor Mezősi ◽  
Tímea Kiss
Keyword(s):  
Sediment Transport ◽  
Suspended Sediment ◽  
Temporal Dynamics ◽  
Pearson Correlation ◽  
Unsupervised Classification ◽  
Mixing Process ◽  
Hydrological Parameters ◽  
Flow And Sediment Transport ◽  
Spatio Temporal ◽  
Sentinel 2

Downstream of the confluence of rivers, complex hydrological and morphological processes control the flow and sediment transport. This study aimed to analyze the spatio-temporal dynamics of suspended sediment in the confluence area of the Tisza and its main tributary Maros River using Sentinel-2 images and to reveal the correlation between the hydrological parameters and the mixing process through a relatively long period (2015–2021). The surficial suspended sediment dynamism was analyzed by applying K-means unsupervised classification algorithm on 143 images. The percentages of the Tisza (TW) and Maros (MW) waters and their mixture (MIX) were calculated and compared with the hydrological parameters in both rivers. The main results revealed that the areal, lateral, and longitudinal extensions of TW and MIX have a better correlation with the hydrological parameters than the MW. The Pearson correlation matrix revealed that the discharge ratio between the rivers controls the mixing process significantly. Altogether, 11 mixing patterns were identified in the confluence area throughout the studied period. The TW usually dominates the confluence in November and January, MW in June and July, and MIX in August and September. Predictive equations for the areal distribution of the three classes were derived to support future water sampling in the confluence area.

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