scholarly journals Quantifying the benefits of peak spreading as a sustainable solution to addressing traffic congestion within the Al Ain private school zone in Abu Dhabi, United Arab Emirates

2015 ◽  
Author(s):  
A. Al Jassmi ◽  
M. Ochieng
Keyword(s):  
United Arab Emirates ◽  
Private School ◽  
Traffic Congestion ◽  
Abu Dhabi ◽  
Al Ain ◽  
Peak Spreading

Atmospheric electric field measurements in the central United Arab Emirates

2020 ◽  
Author(s):  
Keri Nicoll ◽  
R. Giles Harrison ◽  
Graeme Marlton ◽  
Martin Airey
Keyword(s):  
Electric Field ◽  
United Arab Emirates ◽  
Daily Variation ◽  
Sea Breeze ◽  
Abu Dhabi ◽  
Atmospheric Electric Field ◽  
Fair Weather ◽  
Al Ain ◽  
Dust Charging ◽  
Convection Dominated

<p>Measurements of the atmospheric electric field (or Potential Gradient, PG) in arid, desert regions are few in comparison to those in more wet/mid latitude regions, despite the fact that such measurements can provide important insights into dust charging processes. Dust charging is emerging as potentially important in sustaining the long range transport of particles, for which new charge and field data are essential. Here we present new PG data from an electric field mill at Al Ain international airport in the eastern part of the Abu Dhabi Emirate in the United Arab Emirates (UAE).  Measurements were made alongside a visibility sensor and ceilometer to provide information on the background meteorological conditions.  At Al Ain, the conditions are generally fair weather in mid-latitude terms (predominantly no clouds or precipitation), with very occasional fog or thunderstorms, but the PG still demonstrates considerable variability associated with local factors such as dust and aerosol content.  Throughout the data series, the PG is almost entirely positive, with the only negative values occurring during thunderstorms and violent dust storms.  The desert climate of the UAE lead to widespread uplift of dust on a regular basis, as evidenced by the generally low visibility measured at the airport (mean visibility = 9km).  The PG at Al Ain was found to be generally much larger than typical fair weather values at other sites, with a mean of 116 V/m, with 2 kV/m exceeded regularly.  The local influences on the PG at Al Ain are strongly apparent and the daily variation in PG was found to fall into two main categories: 1) convection dominated, 2) sea breeze dominated.   On the convection dominated days the PG followed the daily variation in temperature and wind speed closely, with very large maximum values of PG up to 4 kV/m in the mid afternoon.  The other regular daily feature in Al Ain PG was a sharp positive increase in PG up to several kV/m around 1800-1900 local time.  This feature is associated with the arrival of a sea breeze front, which originates more than 150 km away on the Abu Dhabi coastline.  The extremely large change in PG over a very short time scale (tens of minutes) is thought to be due to the action of dust pickup within the sea breeze front as it travels substantial distances over the flat arid landscape.  Overall, the electrical environment at Al Ain is found to be generally very highly charged and so the local effects (primarily from dust and aerosol) mask Global Electric Circuit influences in the surface data.</p><p> </p><p> </p><p> </p>

scholarly journals Climate change in the UAE: Modeling air temperature using ARIMA and STI across four bio-climatic zones

F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 973
Author(s):  
Taoufik Saleh Ksiksi ◽  
Latifa Saeed Al-Blooshi
Keyword(s):  
Climate Change ◽  
United Arab Emirates ◽  
Moving Average ◽  
Climatic Conditions ◽  
Abu Dhabi ◽  
Spatial And Temporal Scales ◽  
Climatic Regions ◽  
Box Plots ◽  
Al Ain ◽  
The Impact

Background: Standardizing climate-related indices and models across spatial and temporal scales presents a challenge. Especially when predicting climatic conditions in the era of climate change. The present work aims to assess the use of ARIMA (Auto Regressive Integrated Moving Average) modeling approach coupled with STI (Standardized Temperature Index) to predict temperature anomalies across four bio-climatic regions within the United Arab Emirates (UAE). Methods: We used monthly temperature data from NOAA Land-Based Station Data for Abu Dhabi, Al-Ain, Dubai and Sharjah. ARIMA modeling and STI assessment of climatic events were used to predict and study the dynamics of climate of the four zones. The use of such forecasting powers was intended for an ultimate aim to study the impact of climate change on land use and land cover changes. Results: Data were not auto-correlated as shown by the Box-Ljung test. Additionally, the box-plots showed that Abu Dhabi had the highest median temperature. The ARIMA forecasting suggested that Dubai is predicted to have increasing trend of average temperatures until 2030. "Extremely hot" events were highest for Al-Ain (i.e. 9), followed by Abu Dhabi, Dubai and Sharjah. Dubai had the highest occurrences of "Moderately hot" events, when compared to all other studied zones. Further, events classified as "very cold" were in the order of 20, 10, and 8, for Dubai, Sharjah, and for each of Abu Dhabi and Al-Ain, respectively. Conclusions: The temperature is predicted to increase in Dubai and Sharjah, with each representing a different bio-climatic zone. This was also reflected in the STI assessment of the historical temperature.  "Moderately hot" and "very cold" events for Dubai were the highest as compared to the other studied zones in the UAE. It is therefore believed that ARIMA, coupled with STI, may be a valid approach to forecast temperature and analyse extreme events.

Are school leaders culturally intelligent? Validation of the cultural intelligence (CQ) scale in the UAE

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Al Dhaheri
Keyword(s):  
United Arab Emirates ◽  
Private School ◽  
Culturally Diverse ◽  
Cultural Intelligence ◽  
School Leaders ◽  
Abu Dhabi ◽  
Response Scale ◽  
Public And Private ◽  
Content Type ◽  
Strongly Agree

Purpose The purpose of this paper is to report results of testing and validation of the cultural intelligence (CQ) Scale in a new location, the culturally diverse United Arab Emirates (UAE) and in a new sector: public and private school leaders. Design/methodology/approach This study surveys 167 school leaders from public and private schools in the UAE using the 20-item version of the CQ Scale, which uses a seven-point Likert response scale of strongly agree to strongly disagree. An examination of the dimensionality of the 20 items was conducted using both principal components analysis and confirmatory factor analysis. Demographics were also gathered. Findings Results from testing and validation of the scale indicated a high level of CQ among school leaders in the Emirate of Abu Dhabi. An examination of the dimensionality of the 20 items showed them to fall into the same structure of four sub-components as conceptually conceived: knowledge, strategy, motivation and behaviour. The mean scores for the four components of CQ in this study indicate high CQ amongst Abu Dhabi school leaders, although the knowledge dimension measured slightly lower. The results confirm previous research that found CQ to be higher in culturally diverse settings, which, according to socio-demographic details gathered in the study applies to the UAE. Originality/value This is the first known study to test the Cultural Intelligence Scale in UAE schools. It answers the call from the CQ Scale developers to validate the scale in diverse contexts.

Social Networking

2019 ◽  
pp. 1-27
Author(s):  
Zoheir Ezziane
Keyword(s):  
Information System ◽  
Social Networking ◽  
United Arab Emirates ◽  
Management Information System ◽  
Abu Dhabi ◽  
Special Focus ◽  
Al Ain ◽  
Distribution Company ◽  
Wholly Owned Subsidiary ◽  
Customer Services

The aim of this chapter is to illustrate how social networking could be used as a tool to empower people and organizations to get connected and share similar ideas and endeavors. It demonstrates the benefits when organizations employ social networking as an e-service tool to engage both consumers and businesses alike. In this chapter, a special focus is attributed to Al Ain Distribution Company (AADC), a wholly owned subsidiary of Abu Dhabi Water and Electricity Authority, in the United Arab Emirates (UAE). AADC has implemented novel e-services for the purpose of improving customer services and incorporate social networking within its existing management information system (MIS). This work has been instrumental in not only showing advantages of using social networking at AADC but also helping the company to address various consumer needs and enhancing its e-services.

scholarly journals Application of a Nighttime Fog Detection Method Using SEVIRI Over an Arid Environment

2020 ◽  
Vol 12 (14) ◽  
pp. 2281 ◽  
Author(s):  
Michael Weston ◽  
Marouane Temimi
Keyword(s):  
United Arab Emirates ◽  
Arid Environment ◽  
Probability Of Detection ◽  
Abu Dhabi ◽  
Transport Systems ◽  
Soil Conditions ◽  
Infrared Imager ◽  
Al Ain ◽  
Meteorological Observations ◽  
Fog Dynamics

Fog degrades horizontal visibility causing significant adverse impacts on transport systems. The detection of fog from satellite data remains challenging especially in the presence of higher clouds, dust, mist, or unknown underlying soil conditions. Observations from Meteosat second generation Spinning-Enhanced Visible and Infrared Imager (MSG SEVIRI) over the United Arab Emirates (UAE), an arid area on the Arabian Peninsula, from 2016 to 2018 (two fog seasons) are used in this study. We implement an adaptive threshold-based technique using pseudo-emissivity values to detect nocturnal fog from SEVIRI. The method allows the threshold to vary spatially and temporally. Low clouds are detected with the analysis of the vertical temperature gradient. Fog classification was verified against four stations in the UAE, namely Abu Dhabi, Dubai, Al Ain, and Al Maktoum, where visibility and meteorological observations are available. The probability of detection (POD) (false alarm ratio (FAR)) was 0.81 (0.40), 0.83 (0.50), 0.83 (0.33), and 0.77 (0.44) at Abu Dhabi, Dubai, Al Ain, and Al Maktoum, respectively. In addition, the spatial frequency of fog is presented, which provides new insights into the fog dynamics in the region.

Department of Tourism and Culture – Abu Dhabi: transforming the desert into a city

2019 ◽  
Vol 9 (1) ◽  
pp. 1-18
Author(s):  
Mariam Hamad Al Dhaheri ◽  
Syed Zamberi Ahmad
Keyword(s):  
Strategic Management ◽  
United Arab Emirates ◽  
Critical Mass ◽  
Business Strategies ◽  
Abu Dhabi ◽  
Current Status ◽  
Eastern Region ◽  
Content Type ◽  
Al Ain ◽  
Tourism And Hospitality

Supplementary materials Teaching notes are available upon request. Learning outcomes The purpose of this paper is to enable tourism management and strategic management students to evaluate and analyze tourism activities in the United Arab Emirates by TCA. Students will gain a comprehensive understanding of developing tourism in rural areas in the United Arab Emirates and to build up proper strategies. They will be able to perform the organization’s competitive standing using Porter’s Five competitive forces and analyze its business strategies as well. They will be able to analyze the current status of the organization using SWOT analysis and to design alternative strategies for the company using TOWS analysis. Case overview/synopsis The Department of Tourism and Culture – Abu Dhabi, also known as the TCA, is a governmental tourism authority in the Emirate of Abu Dhabi established 14 years ago as part of an economy-diversifying strategy for the non-oil era. The TCA is responsible of creating tourism activities to generate new tourists in Abu Dhabi, which will increase the revenue of the authority and as well increase the gross domestic product of the United Arab Emirates (UAE) economy. Tourism activities have been focused on Abu Dhabi City as is it considered the capital city of the UAE. However, other cities are also part of this strategy, e.g. Al Ain City, which is located in the eastern region of the Emirate of Abu Dhabi, and Al Dhafra City, which is located in the western region of the Emirate of Abu Dhabi, both of which lack the required infrastructure, population, and tourism activity, due in part at least to the fact that the TCA’s strategy plans have been focused on Abu Dhabi City. Sultan Al Mutawa Al Dhaheri (Al Dhaheri), the TCA’s Executive Director of Tourism, has been responsible for developing tourism in Al Ain City and Al Dhafra, but due to the current situation of the two cities regarding the low revenue growth (and the consequent lack of investors willing to invest) and no critical mass (i.e. a sufficient number of hotel rooms available), Al Dhaheri is facing a dilemma regarding achieving TCA strategy in Al Ain City and Al Dhafra City. Complexity academic level This case study will be useful for undergraduate and postgraduate level students majoring in Tourism and Hospitality Management, Business Administration and Strategic Management. Subject code CSS 12: Tourism and Hospitality.

scholarly journals Outdoor Thermal Comfort Study on a District Level as Part of the Housing Programs in Abu Dhabi and Al Ain, United Arab Emirates

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 264
Author(s):  
Lindita Bande ◽  
Rahma Adan ◽  
Kim Young ◽  
Raghad Ghazal ◽  
Mukesh Jha ◽  
...  
Keyword(s):  
Thermal Comfort ◽  
United Arab Emirates ◽  
Outdoor Thermal Comfort ◽  
Abu Dhabi ◽  
The Public ◽  
Housing Programs ◽  
Air Temperatures ◽  
Local Sustainability ◽  
Al Ain ◽  
Shading Devices

The United Arab Emirates (UAE) has witnessed fast growth in urban development in the past four decades. A plan to build 7270 houses by 2021 has been initiated by the local authorities. Different local sustainability guidelines are being implemented, including the Public Realm Manual in Abu Dhabi. These local guidelines are tailored to consider the hot and arid climate of the UAE as well as the applied materials, the inclusion of greenery, shading devices, etc. Dubai, Abu Dhabi, and Al Ain are cities that have imposed the application of such guidelines. Additionally, the newly developed housing programs match the governmental plan. To understand the effect of these design programs on the outdoor thermal comfort (OTC), further investigations are necessary for each city. The most widely built prototype is detached villas, which result in untreated waste areas without shading or greenery. In the old local neighborhoods, Arabic houses were built next to each other to maximize the shading and to ease pedestrians’ walkability. This study aims to examine the districts where the housing programs are applied and to determine the most effective strategy to minimize the outdoor air temperatures and enhance walkability. The methodology implements the following processes in order: district analyses of the buildings as well as the externally applied materials, microclimate site measurements, ENVI-met (main software used) models of the current and future scenarios, results and recommendations. The strategies have different impacts in both cites due to the microclimate and other conditions.

Educating Ms. Fatima

1970 ◽  
pp. 56-63
Author(s):  
Tim Walters ◽  
Susan Swan ◽  
Ron Wolfe ◽  
John Whiteoak ◽  
Jack Barwind
Keyword(s):  
Federal Government ◽  
Free Trade ◽  
United Arab Emirates ◽  
Arabian Peninsula ◽  
High Technology ◽  
Emerging Technology ◽  
Abu Dhabi ◽  
Free Trade Zones ◽  
Knowledge Based ◽  
K 12

The United Arab Emirates is a smallish Arabic/Islamic country about the size of Maine located at the tip of the Arabian Peninsula. Though currently oil dependent, the country is moving rapidly from a petrocarbon to a people-based economy. As that economy modernizes and diversifies, the country’s underlying social ecology is being buffeted. The most significant of the winds of change that are blowing include a compulsory, free K-12 education system; an economy shifting from extractive to knowledge-based resources; and movement from the almost mythic Bedouin-inspired lifestyle to that of a sedentary highly urbanized society. Led by resource-rich Abu Dhabi and Dubai, the federal government has invested heavily in tourism, aviation, re-export commerce, free trade zones, and telecommunications. The Emirate of Dubai, in particular, also has invested billions of dirhams in high technology. The great dream is that educated and trained Emiratis will replace the thousands of foreign professionals now running the newly emerging technology and knowledge-driven economy.

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