Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Khalifa M. Al Kindi"'
Demographic and socioeconomic determinants of COVID-19 across Oman - A geospatial modelling approach
Autor:
Khalifa M. Al Kindi, Adhra Al-Mawali, Amira Akharusi, Duhai Alshukaili, Noura Alnasiri, Talal Al-Awadhi, Yassine Charabi, Ahmed M. El Kenawy
Publikováno v:
Geospatial Health, Vol 16, Iss 1 (2021)
Local, bivariate relationships between coronavirus 2019 (COVID-19) infection rates and a set of demographic and socioeconomic variables were explored at the district level in Oman. To limit multicollinearity a principal component analysis was conduct
Externí odkaz:
https://doaj.org/article/c1cd2f959a77417bb330ed969151f631
Autor:
Khalifa M Al-Kindi
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0301832 (2024)
This study investigates the spatial distribution patterns and environmental factors influencing the Aini Falaj system in a specific study area. The research findings are presented through the lens of the following four categories: collinearity diagno
Externí odkaz:
https://doaj.org/article/86a0fff5c4fd4cc99e36e243bde5ccff
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1787 (2023)
The aflaj systems represent unique irrigation technologies that have been implemented in the Sultanate of Oman. This innovative system, referred to as “falaj” in the singular form, is composed of a sophisticated network of underground tunnels and
Externí odkaz:
https://doaj.org/article/826a8e5ddac74bf68469af16d8bdff6a
Publikováno v:
Agriculture, Vol 13, Iss 3, p 592 (2023)
Climate change poses a major threat to vegetation and land cover worldwide. The loss of vegetation as a result of climate change can alter the functions and structure of the environment and its ecological systems. In the first part of this study, Sen
Externí odkaz:
https://doaj.org/article/91b147033475463eb3f6f75cc06c43ec
Autor:
Choi, Nazanin Bahadori, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Khalifa M. Al-Kindi, Tamer Abuhmed, Behrokh Nazeri, Soo-Mi
Publikováno v:
Forests; Volume 14; Issue 7; Pages: 1325
Recurring wildfires pose a critical global issue as they undermine social and economic stability and jeopardize human lives. To effectively manage disasters and bolster community resilience, the development of wildfire susceptibility maps (WFSMs) has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::0cbda158670322c4fb80dedbe539c743
Autor:
Khalifa M. Al-Kindi, Saeid Janizadeh
Publikováno v:
Remote Sensing; Volume 14; Issue 21; Pages: 5425
Aflaj (plural of falaj) are tunnels or trenches built to deliver groundwater from its source to the point of consumption. Support vector machine (SVM) and extreme gradient boosting (XGB) machine learning models were used to predict groundwater aflaj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5036fce956c309d542a3c01a765202d4
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0171103 (2017)
Date palm cultivation is economically important in the Sultanate of Oman, with significant financial investments coming from both the government and private individuals. However, a widespread Dubas bug (DB) (Ommatissus lybicus Bergevin) infestation h
Externí odkaz:
https://doaj.org/article/014680dddd76431aa8a6af38ddcfda83
Publikováno v:
PLoS ONE, Vol 12, Iss 5, p e0178109 (2017)
Date palm cultivation is economically important in the Sultanate of Oman, with significant financial investment coming from both the government and from private individuals. However, a global infestation of Dubas bug (Ommatissus lybicus Bergevin) has
Externí odkaz:
https://doaj.org/article/212cc65e05504951a4e11c0b64acb8e7
Publikováno v:
AlterNative: An International Journal of Indigenous Peoples. :117718012311686
Both Oman and Iran possess a harsh environment where people’s survival and development entail a deep knowledge about their surroundings. A considerable part of this knowledge has crystallized around the falaj, a hydraulic technique that transfers w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3b1b656b13658dd950d2c03c1a086e7d
https://doi.org/10.1177/11771801231168668
https://doi.org/10.1177/11771801231168668
Geospatial detection of Ommatissus lybicus de Bergevin using spatial and machine learning techniques
Publikováno v:
Remote Sensing Applications: Society and Environment. 28:100814
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c4475c8a4fa433b441c02b9d19a858a
https://doi.org/10.1016/j.rsase.2022.100814
https://doi.org/10.1016/j.rsase.2022.100814