Zobrazeno 1 - 10
of 115
pro vyhledávání: '"Hatim O. Sharif"'
Autor:
Al Mamun, Hatim O. Sharif
Publikováno v:
Limnological Review, Vol 24, Iss 3, Pp 178-191 (2024)
Nitrate (NO3−) is a vulnerable natural contaminant that can be found in groundwater. The estimated nitrate concentrations for four categories of wells in the northeastern arid regions of Saudi Arabia—commercial treated water stations for drinking
Externí odkaz:
https://doaj.org/article/d79284762d554210a6472bac53f0bd5c
Autor:
Ahmed M. Al-Areeq, Abdulnoor A. J. Ghanim, Hatim O. Sharif, Shakhawat Chowdhury, Nabil M. Al-Areeq, Muhammad Tauhidur Rahman, Mohammed S. Al-Suwaiyan
Publikováno v:
Geocarto International, Vol 38, Iss 1 (2023)
AbstractThis study addresses a crucial gap in our understanding of flooding in the predominantly agricultural Qaa’Jahran watershed in Yemen, where urbanization, though currently limited in extent, is rapidly expanding. We aim to discern the effects
Externí odkaz:
https://doaj.org/article/4c60fc8076ac4372b9a2a99bff816802
Publikováno v:
Applied Water Science, Vol 12, Iss 11, Pp 1-21 (2022)
Abstract Makkah region is one of the most flash flood-prone areas of Saudi Arabia due to terrain characteristics and the synoptic-scale weather conditions that intensify through interaction with the local topography causing high convective short-live
Externí odkaz:
https://doaj.org/article/8b00f84361794efb94addd3cdc50fa64
Autor:
Tareefa S. Alsumaiti, Khalid A. Hussein, Dawit T. Ghebreyesus, Pakorn Petchprayoon, Hatim O. Sharif, Waleed Abdalati
Publikováno v:
Remote Sensing, Vol 16, Iss 1, p 27 (2023)
The recent flooding events in the UAE have emphasized the need for a reassessment of flood frequencies to mitigate risks. The exponential urbanization and climatic changes in the UAE require a reform for developing and updating intensity–duration
Externí odkaz:
https://doaj.org/article/025ed8ea98dc4556b68ab29e331bc8e0
Autor:
Ahmed M. AL-Areeq, Hatim O. Sharif, S.I. Abba, Shakhawat Chowdhury, Mohammed Al-Suwaiyan, Mohammed Benaafi, Mohamed A. Yassin, Isam H. Aljundi
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 119, Iss , Pp 103330- (2023)
Global Digital Elevation Models (GDEMs) have been increasingly used to assess the risk of flooding worldwide. However, their effectiveness and the performance of flood risk models in areas with complex terrain, such as Jeddah, Saudi Arabia, have not
Externí odkaz:
https://doaj.org/article/8527cd8112d84565b9740916a20ba621
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 12, Iss 1, Pp 1234-1257 (2021)
The purpose of this study is to understand flooding in a 1,725-km2 arid catchment in Makkah Province, Saudi Arabia, with very limited ground observations. This mountainous catchment includes densely urbanized areas built on lowlands and in the epheme
Externí odkaz:
https://doaj.org/article/a780b7d60eb241fd8ba4623b7cfa3a39
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 11, Iss 1, Pp 112-130 (2020)
This study was conducted to investigate the spatiotemporal changes of land use/land cover (LULC) along the eastern coast of the United Arab Emirates (UAE) over a 20-year period using an integration of remote sensing and Geographic Information Systems
Externí odkaz:
https://doaj.org/article/d06668b3225f4e7b992eacbcf8ab0083
Publikováno v:
Frontiers in Climate, Vol 3 (2022)
Externí odkaz:
https://doaj.org/article/f67c7766da9546979f65ed44e49fd851
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 8, Iss 2, Pp 672-688 (2017)
The aim of this study is to build a flood simulation model for the city of Hafr Al-Batin catchment area. The model consists of a hydrologic model, a hydraulic model and pre- and post-processing tools. A geographic information system-based modelling i
Externí odkaz:
https://doaj.org/article/c2f01bb7045341dc92cd49897b7b4681
Publikováno v:
Water, Vol 13, Iss 18, p 2560 (2021)
This study aims to evaluate the performance of the Soil and Water Assessment Tool (SWAT), a simple Auto-Regressive with eXogenous input (ARX) model, and a gene expression programming (GEP)-based model in one-day-ahead discharge prediction for the upp
Externí odkaz:
https://doaj.org/article/adf914022d7a472b8b9955d3b3a42c4d