CCL

Összesen 2 találat.
#/oldal:
Részletezés:
Rendezés:

1.

001-es BibID:BIBFORM116528
035-os BibID:(cikkazonosító)103507 (WoS)001135286500001 (Scopus)85179139332
Első szerző:Mahanta, Aiswarya Rani
Cím:Assessment of multi-source satellite products using hydrological modelling approach / Aiswarya Rani Mahanta, Kishan Singh Rawat, Nirmal Kumar, Szilard Szabo, Prashant K. Srivastava, Sudhir Kumar Singh
Dátum:2023
ISSN:1474-7065
Megjegyzések:Multi-source satellite products performance evaluation for varied geographical locations aids in quantification of hydrological variables and is useful in the strategy making and conservation of the hydrological resources available in a basin. The work was focused on assessing utility of multi-source satellite datasets to obtain the estimation of hydrologic variables and provide solution for areas that are poorly gauged. Assessment of the multisource-satellite products was performed for the poorly gauged river basin with the help of SWAT concerning the Palar River basin, India. We analysed time series at the monthly, seasonal, and annual scales to quantify surface runoff, water yield, ET, & PET at the calibration station and for the entire basin for the period 2003 to 2021. SWAT model estimated highest monthly water yield during November-December, with annual water yield being maximum (220 mm in 2010) and average (99.4 mm), which can be used to understand water resources for irrigation, drinking aspects, and net storage. Average monthly surface runoff patterns were similar for SWAT, TerraClimate, and FLDAS. The FLDAS and SWAT simulated surface runoff show a resemblance in pattern and magnitude for the monthly and annual time series of the average basin scenario. The monthly PET obtained from SWAT and ERA-5 show a similar pattern for the entire basin and at the calibration site. The ET derived from satellite observation has over-predicted the model output at both the calibration site and entire basin.
Tárgyszavak:Természettudományok Földtudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
FLDAS
SWAT
ERA-5
MODIS
MERRA-2
Water yield
Megjelenés:Physics And Chemistry Of The Earth. - 133 (2023), p. 1-18. -
További szerzők:Rawat, Kishan Singh Kumar, Nirmal Szabó Szilárd (1974-) (geográfus) Srivastava, Prashant K. Singh, Sudhir Kumar (1970-) (geográfus)
Pályázati támogatás:TKP2021-NKTA-32
Egyéb
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:

2.

001-es BibID:BIBFORM083228
Első szerző:Szabó Gergely (geográfus)
Cím:Slope angle and aspect as influencing factors on the accuracy of the SRTM and the ASTER GDEM databases / Gergely Szabó, Sudhir Kumar Singh, Szilárd Szabó
Dátum:2015
ISSN:1474-7065
Megjegyzések:Presently, the application of digital elevation or surface models have increasing relevance in all areas of scientific research and in practical engineering applications. The ASTER GDEM and SRTM databases are the most widely used digital surface models, due to their free accessibility and global coverage. The SRTM model was produced using a radar-based technique and the ASTER GDEM was developed using optical stereo image-pairs. Therefore, as all models contain errors (i.e. differences stemming from real surface or vertical biases), errors in these models will also differ. Our aim was to examine these vertical biases and to calculate the rate of error variance. A TIN (Triangulated Irregular Network) model was used as a reference surface, derived from the contour lines of a large scale topographic map. Errors were evaluated with statistical and geoinformation techniques. We discovered significant differences between the surfaces. The mean difference between topographic elevations minus the SRTM-V2 is +2.6 +- 4 m, while the mean difference between topographic elevations minus the SRTM-V3 is +2.7 +- 2.5 m. With the GDEM, the mean difference was 2.7 +- 9.1 m. Furthermore, we found that in the case of SRTM, the differences were significant considering the aspects and the steepness of the slopes: southern and eastern directions and larger slope angles showed greater differences compared to the reference data. The GDEM V2 DEM had a larger error variance, but the error did not vary significantly with slope angle.
Tárgyszavak:Természettudományok Fizikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
Digital surface models
Direction dependency
Steepness
Comparison
Hungary
Megjelenés:Physics and Chemistry of the Earth. - 83/84 (2015), p. 137-145. -
További szerzők:Singh, Sudhir Kumar (1970-) (geográfus) Szabó Szilárd (1974-) (geográfus)
Pályázati támogatás:TÁMOP 4.2.4. A/2-11-1-2012-0001
TÁMOP
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
Borító:
Rekordok letöltése1