Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Khalifa M. Al-Kindi"'
Autor:
Khalifa M. Al-Kindi
Publikováno v:
PLoS ONE, Vol 19, Iss 5 (2024)
Externí odkaz:
https://doaj.org/article/97c9018ed15c484c8e12d4dc2edb2123
Autor:
Nazanin Bahadori, Seyed Vahid Razavi-Termeh, Abolghasem Sadeghi-Niaraki, Khalifa M. Al-Kindi, Tamer Abuhmed, Behrokh Nazeri, Soo-Mi Choi
Publikováno v:
Forests, Vol 14, Iss 7, p 1325 (2023)
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://doaj.org/article/adb615e08e8f431e93ab0cbc668b3c05
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:
Khalifa M. Al-Kindi, Saeid Janizadeh
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5425 (2022)
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://doaj.org/article/00626a793d814aa9b2b90c5bffcdb736
Autor:
Khalifa M. Al‐Kindi, Ali K. Al‐Wahaibi, Paul Kwan, Nigel R. Andrew, Mitchell Welch, Mohammed Al‐Oufi, Zakariya Al‐Hinai
Publikováno v:
Ecology and Evolution, Vol 8, Iss 16, Pp 8297-8310 (2018)
Abstract The Dubas bug (Ommatissus lybicus de Bergevin) is a pest species whose entire life cycle occurs on date palms, Phoenix dactylifera L, causing serious damage and reducing date palm growth and yield. Pseudoligosita babylonica Viggiani, Aprosto
Externí odkaz:
https://doaj.org/article/7765a53d94884398b079d60f176d5b2e
Publikováno v:
PeerJ, Vol 5, p e3752 (2017)
In order to understand the distribution and prevalence of Ommatissus lybicus (Hemiptera: Tropiduchidae) as well as analyse their current biographical patterns and predict their future spread, comprehensive and detailed information on the environmenta
Externí odkaz:
https://doaj.org/article/9a38a7a936414843b841fdb243875872
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
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
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