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Professor Hani Abu-Qdais has obtained a PhD in Environmental Engineering from Newcastle University, UK. Currently he is a Professor of Environmental and Water Engineering at the Civil Engineering Department of Jordan University of Science and Technology (JUST). Professor Abu-Qdais has a diverse experience in public, private and academic sectors, He has published more than 50 articles in international refereed journals and proceedings of international conferences. Most of his publications are focusing on integrated waste management. Furthermore, Prof. Abu-Qdais has served as a consultant for several national and international agencies, such as the Ministry of Environment, Ministry of Municipal Affairs, UNDP, GIZ, USAID, WHO, IDRC, FAO and projects funded by the World Bank.
Due to their properties, silver nanoparticles (AgNPs) are widely used in consumer products. The widespread use of these products leads to the release of such nanoparticles into the environment, during manufacturing, use, and disposal stages. Currently there is a high margin of uncertainty about the impacts of nano products on the environment and human health. Therefore, different approaches including life cycle assessment (LCA) are being used to evaluate the environmental and health impacts of these products. In this paper, a comparison between four different AgNP synthesis methods was conducted. In addition, four textile products that contain AgNPs were subjected to comparison using LCA analysis to assess their environmental and public health impacts using SimaPro modeling platform. Study results indicate that using alternative methods (green) to AgNPs synthesis will not necessarily reduce the environmental impacts of the synthesizing process. To the best of our knowledge, this is the first study that has compared and assessed the environmental burdens associated with different nanosilver-based textile products at different disposal scenarios. The synthesis of 1 kg of AgNPs using modified Tollens’ method resulted in 580 kg CO2 eq, while 531 kg CO2 eq resulted from the chemical approach. Furthermore, the manufacturing stage had the highest overall impacts as compared to other processes during the life cycle of the product, while the product utilization and disposal stages had the highest impacts on ecotoxicity. Sensitivity analysis revealed that under the two disposal scenarios of incineration and landfilling, the impacts were sensitive to the amount of AgNPs.
Hani Abu-Qdais; Muna Abu-Dalo; Yazan Hajeer. Impacts of Nanosilver-Based Textile Products Using a Life Cycle Assessment. Sustainability 2021, 13, 3436 .
AMA StyleHani Abu-Qdais, Muna Abu-Dalo, Yazan Hajeer. Impacts of Nanosilver-Based Textile Products Using a Life Cycle Assessment. Sustainability. 2021; 13 (6):3436.
Chicago/Turabian StyleHani Abu-Qdais; Muna Abu-Dalo; Yazan Hajeer. 2021. "Impacts of Nanosilver-Based Textile Products Using a Life Cycle Assessment." Sustainability 13, no. 6: 3436.
The Syrian civil war, which broke out in 2011, caused the displacement of more than one million refugees to Jordan. Most of them settled in the Northern Govenorates of Jordan. Due to this, the local services and infrastructures of the hosting communities, in particular the solid waste management (SWM), were put under great pressure. The aim of this study is to evaluate how the off-camp refugees impacted the SWM in the Greater Irbid Municipality (GIM; in the Irbid Governorate), both quantitatively and qualitatively. Data and results obtained from the studies carried out before the Syrian crisis are compared with data collected by the authors in 2016 using similar or comparable methodologies. Moreover, local citizen perceptions of and satisfaction with the solid waste (SW) service level were assessed. A deterioration of the SWM in GIM between 2011 and 2016 was observed in terms of service performance indicators (e.g., an increase of SW collection and transportation costs by 2.5 times and of fines for improper SW disposal by 2.2 times) and of citizens’ views (a decline in SWM quality was felt by 59% of the respondents). An attempt to cope with this situation has been made in recent years with international donors mobilizing efforts and resources to enable municipalities to meet the growing demand in basic SW services. There is however, still much to be done.
Silvia Gibellini; Hani Abu Qdais; Mentore Vaccari. Municipal solid waste management in refugee hosting communities: Analysis of a case study in northern Jordan. Waste Management & Research: The Journal for a Sustainable Circular Economy 2021, 1 .
AMA StyleSilvia Gibellini, Hani Abu Qdais, Mentore Vaccari. Municipal solid waste management in refugee hosting communities: Analysis of a case study in northern Jordan. Waste Management & Research: The Journal for a Sustainable Circular Economy. 2021; ():1.
Chicago/Turabian StyleSilvia Gibellini; Hani Abu Qdais; Mentore Vaccari. 2021. "Municipal solid waste management in refugee hosting communities: Analysis of a case study in northern Jordan." Waste Management & Research: The Journal for a Sustainable Circular Economy , no. : 1.
This study deals with the simulation and prediction of air pollutants in Irbid city (north of Jordan) before and during the spread of the COVID-19 virus pandemic by using an artificial neural network (ANN). Based on the data obtained from the air quality monitoring station for the year 2019 and the first quarter of the year 2020, it was possible to develop an ANN model to simulate and predict the concentrations of three air pollutants, namely nitrogen dioxide (NO2), sulfur dioxide (SO2), and particulate matter with diameter less than 10 μm (PM10). Several ANN model configurations were tested to select the best model that could predict the concentration of the three air pollutants with meteorological parameters being used as input to the model. The results showed that the concentration of the pollutants during the coronavirus lockdown was declined by various percentages (from 29% for PM10 to 72% for NO2) as compared to their concentration before the pandemic period. Furthermore, the developed ANN model could simulate and predict the concentration of the pollutants during the pandemic period with sufficient accuracy as judged by the values of the coefficient of determination and the mean square error. The study results indicate that properly trained and structured ANN can be a useful tool to predict air quality parameters with adequate accuracy.
Nawras Shatnawi; Hani Abu-Qdais. Assessing and predicting air quality in northern Jordan during the lockdown due to the COVID-19 virus pandemic using artificial neural network. Air Quality, Atmosphere & Health 2021, 14, 643 -652.
AMA StyleNawras Shatnawi, Hani Abu-Qdais. Assessing and predicting air quality in northern Jordan during the lockdown due to the COVID-19 virus pandemic using artificial neural network. Air Quality, Atmosphere & Health. 2021; 14 (5):643-652.
Chicago/Turabian StyleNawras Shatnawi; Hani Abu-Qdais. 2021. "Assessing and predicting air quality in northern Jordan during the lockdown due to the COVID-19 virus pandemic using artificial neural network." Air Quality, Atmosphere & Health 14, no. 5: 643-652.
Renewable energy sources are environmentally friendly and sustainable resources. However, there is no unique renewable energy resource that suits all countries. As such, nations must select the right option ‒ or combination of options ‒ that aligns with their local economic, technical, and environmental circumstances. Such a selection process is usually performed using a decision-making tool based on multi-criteria analysis. This study aims to find the most effective renewable energy option for Jordan by soliciting experts’ opinions under several criteria and sub-criteria. The collected responses of experts from the energy field were analyzed using the analytical hierarchy process (AHP). The AHP model used in the study consisted of four criteria, eleven sub-criteria, and four renewable energy alternatives. The results indicate that the technical criterion had the highest weight of 53.6% as compared to the environmental criterion which came second with a weight of 29.0% followed by geographical and socioeconomic criteria which have the lowest weights of 11.3% and 6.0%, respectively. The results reveal that under the technical criterion a high rank has given to maturity of the technology followed by availability of know-how with a weight of 0.875 and 0.125, respectively. The sequence of the preferable options based on the study results was: wind energy with 51.9%, followed by the solar energy option with 31.3%, and finally biomass and hydropower with 10.5% and 7.1%, respectively. Sensitivity analysis was performed and showed that the renewable energy options are not sensitive to the technical or environmental criteria, while they were slightly sensitive to the geographical and socioeconomic criteria.
Nawras Shatnawi; Hani Abu-Qdais; Farah Abu Qdais. Selecting renewable energy options: an application of multi-criteria decision making for Jordan. Sustainability: Science, Practice and Policy 2021, 17, 210 -220.
AMA StyleNawras Shatnawi, Hani Abu-Qdais, Farah Abu Qdais. Selecting renewable energy options: an application of multi-criteria decision making for Jordan. Sustainability: Science, Practice and Policy. 2021; 17 (1):210-220.
Chicago/Turabian StyleNawras Shatnawi; Hani Abu-Qdais; Farah Abu Qdais. 2021. "Selecting renewable energy options: an application of multi-criteria decision making for Jordan." Sustainability: Science, Practice and Policy 17, no. 1: 210-220.
In a mega city like Moscow, both municipal solid waste management and energy systems are managed in an unsustainable way. Therefore, utilizing the municipal solid waste to generate energy will help the city in achieving sustainability by decreasing greenhouse gases emissions and the need for land to dispose the solid waste. In this study, various Waste to Energy (WTE) options were evaluated using analytical hierarchy process (AHP) to select the most appropriate technology for the Moscow region. The developed AHP model consists of 4 levels, which assessed four WTE technologies, namely landfill biogas, anaerobic digestion, incineration, and refuse derived fuel (RDF), using four criteria and nine subcriteria. The pairwise comparison was achieved by soliciting 16 experts’ opinions. The priority weights of various criteria, subcriteria, and alternatives were determined using Expert Choice Software. The developed model indicated that landfill biogas is the preferred option with a global weight of 0.448, followed by the anaerobic digestion with a weight of 0.320 and incineration with a weight of 0.138, while the least preferred technology is the RDF with a weight of 0.094. Sensitivity analysis has shown that the priorities of WTE alternatives are sensitive for the environmental and technical criteria. The developed AHP model can be used by the decision makers in Moscow in the field of WTE.
Anna Kurbatova; Hani Abu-Qdais. Using Multi-Criteria Decision Analysis to Select Waste to Energy Technology for a Mega City: The Case of Moscow. Sustainability 2020, 12, 9828 .
AMA StyleAnna Kurbatova, Hani Abu-Qdais. Using Multi-Criteria Decision Analysis to Select Waste to Energy Technology for a Mega City: The Case of Moscow. Sustainability. 2020; 12 (23):9828.
Chicago/Turabian StyleAnna Kurbatova; Hani Abu-Qdais. 2020. "Using Multi-Criteria Decision Analysis to Select Waste to Energy Technology for a Mega City: The Case of Moscow." Sustainability 12, no. 23: 9828.
The biogas production technology has improved over the last years for the aim of reducing the costs of the process, increasing the biogas yields, and minimizing the greenhouse gas emissions. To obtain a stable and efficient biogas production, there are several design considerations and operational parameters to be taken into account. Besides, adapting the process to unanticipated conditions can be achieved by adequate monitoring of various operational parameters. This paper reviews the research that has been conducted over the last years. This review paper summarizes the developments in biogas design and operation, while highlighting the main factors that affect the efficiency of the anaerobic digestion process. The study’s outcomes revealed that the optimum operational values of the main parameters may vary from one biogas plant to another. Additionally, the negative conditions that should be avoided while operating a biogas plant were identified.
Abdullah Nsair; Senem Onen Cinar; Ayah Alassali; Hani Abu Qdais; Kerstin Kuchta. Operational Parameters of Biogas Plants: A Review and Evaluation Study. Energies 2020, 13, 3761 .
AMA StyleAbdullah Nsair, Senem Onen Cinar, Ayah Alassali, Hani Abu Qdais, Kerstin Kuchta. Operational Parameters of Biogas Plants: A Review and Evaluation Study. Energies. 2020; 13 (15):3761.
Chicago/Turabian StyleAbdullah Nsair; Senem Onen Cinar; Ayah Alassali; Hani Abu Qdais; Kerstin Kuchta. 2020. "Operational Parameters of Biogas Plants: A Review and Evaluation Study." Energies 13, no. 15: 3761.
Reclaiming wastewater for reuse in agriculture is increasingly adopted by many countries around the globe. This is especially true for Jordan, a country that is characterized of being a water scarce country, where the per capita share from renewable water resources is less than 100 M3/capita. year. Jordan Third National Communication Report on climate change has estimated a significant decrease in precipitation at a rate of 1.2 mm per year and increase in the mean air temperature by 0.02°C/year, which will be adversely reflected on the water resources supply potential. To bridge the gap between the water resources, supply potential and the demand imposed by various sectors, Jordan utilizing nonconventional water resources such as the reuse of treated wastewater (reclaimed water) in irrigation, where agriculture accounted for 52% of the water use in the country in 2017. The main objective of the present paper is to update the Jordanian experience in wastewater reuse and to explore the potential of treated wastewater reuse in agriculture as an adaptive measure to climate change in Jordan. The analysis revealed that Jordan is a pioneer country in the treated wastewater reuse, where 92% of the treated wastewater has been reused either directly or indirectly, mainly for irrigation purposes. Treated wastewater can be considered as an adaptation measure to climate change that is capable to reduce the deficit between the demand and water resources potential up to 48% by the year 2025.
Hani Abu-Qdais; Fayez Abdulla; Anna Kurbatova. Wastewater reuse in Jordan and its potential as an adaptation measure to climate change. Journal of Environmental Engineering and Science 2019, 14, 203 -211.
AMA StyleHani Abu-Qdais, Fayez Abdulla, Anna Kurbatova. Wastewater reuse in Jordan and its potential as an adaptation measure to climate change. Journal of Environmental Engineering and Science. 2019; 14 (4):203-211.
Chicago/Turabian StyleHani Abu-Qdais; Fayez Abdulla; Anna Kurbatova. 2019. "Wastewater reuse in Jordan and its potential as an adaptation measure to climate change." Journal of Environmental Engineering and Science 14, no. 4: 203-211.
Abdullah Nsair; Senem Önen Cinar; Hani Abu Qdais; Kerstin Kuchta. Optimizing the performance of a large scale biogas plant by controlling stirring process: A case study. Energy Conversion and Management 2019, 198, 1 .
AMA StyleAbdullah Nsair, Senem Önen Cinar, Hani Abu Qdais, Kerstin Kuchta. Optimizing the performance of a large scale biogas plant by controlling stirring process: A case study. Energy Conversion and Management. 2019; 198 ():1.
Chicago/Turabian StyleAbdullah Nsair; Senem Önen Cinar; Hani Abu Qdais; Kerstin Kuchta. 2019. "Optimizing the performance of a large scale biogas plant by controlling stirring process: A case study." Energy Conversion and Management 198, no. : 1.
Assessing and monitoring of the landfill temperature is of great importance, so as to assess environmental impacts of the landfill and to prevent fires that may lead to failure of the landfill operations. In this study, satellite images were used in mapping the landfill surface temperature (LFST) of Al Akeeder landfill site in Northern Jordan. Artificial Neural Network (ANN) model was developed to simulate and predict the LFST. Fifty-four Landsat satellite images on different dates covering the period 2000–2016 were collected and utilized after being subjected to correction of the thermal band. Multi-temporal thematic maps were developed for the landfill site and the LFST trends, patterns and magnitude were evaluated. Correlating LFST with the amount of the landfilled solid waste has resulted in a good correlation coefficient (r = 0.884), which implies that LFST can serve as an indicator of the amount of solid waste buried in the landfill. Solid waste amount, methane emitted as well as meteorological parameters, such as temperature, humidity, wind speed and evaporation, were used to simulate and predict the value of landfill LFST using ANN. Validation of the ANN has resulted in a good correlation between the predicted and calculated values of the LFST.
Hani Abu Qdais; Nawras Shatnawi; Hani Abu-Qdais. Assessing and predicting landfill surface temperature using remote sensing and an artificial neural network. International Journal of Remote Sensing 2019, 40, 9556 -9571.
AMA StyleHani Abu Qdais, Nawras Shatnawi, Hani Abu-Qdais. Assessing and predicting landfill surface temperature using remote sensing and an artificial neural network. International Journal of Remote Sensing. 2019; 40 (24):9556-9571.
Chicago/Turabian StyleHani Abu Qdais; Nawras Shatnawi; Hani Abu-Qdais. 2019. "Assessing and predicting landfill surface temperature using remote sensing and an artificial neural network." International Journal of Remote Sensing 40, no. 24: 9556-9571.
Solid waste composting has never been practised on a full scale in Jordan. However, the National Solid Waste Management Strategy recommended five major composting facilities to be put into operation starting from 2025. According to the Ministry of Environment, the waste sector is contributing to 10.6% of the total greenhouse gas emissions of the country. The main objective of this study was to assess the potential of solid waste composting in mitigating greenhouse gas emissions in Jordan. Applying the upstream-operating-downstream account framework and developing a model that estimates the greenhouse gas emissions, it was possible to estimate the emissions associated with composting of source-segregated bio-waste, which was compared with three other scenarios, including business as usual (dumping and landfilling), sanitary landfilling, and anaerobic digestion. The assessment revealed that composting and anaerobic digestion of the total generated source-segregated bio-waste (Scenarios 3 and 4) have the least net greenhouse gas emissions with 1.1 million Mg CO2-eq y-1, while engineered sanitary landfilling and dumping have net emissions of 2.6 and 3.75 million Mg CO2-eq y-1, respectively. The findings of this research are paving the way to make informed and responsible decisions in the Jordanian solid waste sector to adopt sustainable and integrated management options.
Hani Abu-Qdais; Christoph Wünsch; Christina Dornack; Abdallah Nassour; Christoph Wuensh. The role of solid waste composting in mitigating climate change in Jordan. Waste Management & Research: The Journal for a Sustainable Circular Economy 2019, 37, 833 -842.
AMA StyleHani Abu-Qdais, Christoph Wünsch, Christina Dornack, Abdallah Nassour, Christoph Wuensh. The role of solid waste composting in mitigating climate change in Jordan. Waste Management & Research: The Journal for a Sustainable Circular Economy. 2019; 37 (8):833-842.
Chicago/Turabian StyleHani Abu-Qdais; Christoph Wünsch; Christina Dornack; Abdallah Nassour; Christoph Wuensh. 2019. "The role of solid waste composting in mitigating climate change in Jordan." Waste Management & Research: The Journal for a Sustainable Circular Economy 37, no. 8: 833-842.
Purpose The purpose of this study is to describe the efforts undertaken to convert the large university campus of Jordan University of Science and Technology (JUST) into a green, resource-efficient and low-carbon campus by following an action-oriented strategy. Sustainability features of the campus were discussed and benchmarked. Challenges were identified and remedial actions were proposed. Design/methodology/approach Taking 2015 as the baseline year, data on energy, water consumption and solid waste generation for the university campus were collected. Energy consumption for cooling, heating and transportation, besides electric power consumption, were reported, and the associated carbon dioxide (CO2) emissions were estimated. By calculating the full time equivalent of students and employees, carbon emission and water consumption per capita were calculated. A comparison with other universities worldwide was conducted. Findings Although located in a semiarid region with scarce water resources, JUST has set an example by greening its campus through an action-oriented approach. It was found that the per capita carbon emission for JUST campus was 1.33 ton of CO2 equivalent, which is less than the emissions from campuses of other universities worldwide. As for water, this study revealed that the daily per capita water consumption was about 56 L, which is approximately one-third of that for students in institutions in the USA. Furthermore, the findings of this study indicated that the average solid waste generation rate was 0.37 kg per student per day compared to 0.31 kg per capita per day when considering the university community (students and employees) collectively. These figures were less and thus compare favorably to the corresponding data for other universities in both developing and developed countries. Originality/value This research addresses the issue of greening JUST campus, which is one of the largest university campuses in the world. JUST campus is located in a semiarid, water-scarce country, which on its own poses a serious challenge. The originality and value of this study mainly stem from the facts that on the one hand, this is one of the unique and pioneering comprehensive studies of its type and, on the other hand, other universities with similar conditions can benefit from the findings of this research to meet the sustainability objectives on their campus operations.
Hani Abu Qdais; Osama Saadeh; Mohamad Al-Widyan; Raed Al-Tal; Muna AbuDalo. Environmental sustainability features in large university campuses. International Journal of Sustainability in Higher Education 2019, 20, 214 -228.
AMA StyleHani Abu Qdais, Osama Saadeh, Mohamad Al-Widyan, Raed Al-Tal, Muna AbuDalo. Environmental sustainability features in large university campuses. International Journal of Sustainability in Higher Education. 2019; 20 (2):214-228.
Chicago/Turabian StyleHani Abu Qdais; Osama Saadeh; Mohamad Al-Widyan; Raed Al-Tal; Muna AbuDalo. 2019. "Environmental sustainability features in large university campuses." International Journal of Sustainability in Higher Education 20, no. 2: 214-228.
Sneha Chede; Nelson M. Anaya; Vinka Oyanedel-Craver; Sanam Gorgannejad; Tequila A.L. Harris; Jumana Al-Mallahi; Muna AbuDalo; Hani Abu Qdais; Isabel C. Escobar. Desalination using low biofouling nanocomposite membranes: From batch-scale to continuous-scale membrane fabrication. Desalination 2019, 451, 81 -91.
AMA StyleSneha Chede, Nelson M. Anaya, Vinka Oyanedel-Craver, Sanam Gorgannejad, Tequila A.L. Harris, Jumana Al-Mallahi, Muna AbuDalo, Hani Abu Qdais, Isabel C. Escobar. Desalination using low biofouling nanocomposite membranes: From batch-scale to continuous-scale membrane fabrication. Desalination. 2019; 451 ():81-91.
Chicago/Turabian StyleSneha Chede; Nelson M. Anaya; Vinka Oyanedel-Craver; Sanam Gorgannejad; Tequila A.L. Harris; Jumana Al-Mallahi; Muna AbuDalo; Hani Abu Qdais; Isabel C. Escobar. 2019. "Desalination using low biofouling nanocomposite membranes: From batch-scale to continuous-scale membrane fabrication." Desalination 451, no. : 81-91.
Nawras Shatnawi; Hani Abu-Qdais. Mapping urban land surface temperature using remote sensing techniques and artificial neural network modelling. International Journal of Remote Sensing 2019, 40, 3968 -3983.
AMA StyleNawras Shatnawi, Hani Abu-Qdais. Mapping urban land surface temperature using remote sensing techniques and artificial neural network modelling. International Journal of Remote Sensing. 2019; 40 (10):3968-3983.
Chicago/Turabian StyleNawras Shatnawi; Hani Abu-Qdais. 2019. "Mapping urban land surface temperature using remote sensing techniques and artificial neural network modelling." International Journal of Remote Sensing 40, no. 10: 3968-3983.
Muna AbuDalo; Jumana Al-Mallahi; Yara Shahrouri; Hani Abu-Qdais. Water desalination as an option to balance the water demand and supply equation of Jordan. Desalination and Water Treatment 2019, 162, 1 -13.
AMA StyleMuna AbuDalo, Jumana Al-Mallahi, Yara Shahrouri, Hani Abu-Qdais. Water desalination as an option to balance the water demand and supply equation of Jordan. Desalination and Water Treatment. 2019; 162 ():1-13.
Chicago/Turabian StyleMuna AbuDalo; Jumana Al-Mallahi; Yara Shahrouri; Hani Abu-Qdais. 2019. "Water desalination as an option to balance the water demand and supply equation of Jordan." Desalination and Water Treatment 162, no. : 1-13.
The concentrations of metals were determined in the water and bottom sediments of both the Urup and Kuban Rivers near tailings sites in the North Caucasus region of southern Russia. The average concentrations in the Urup followed the order Fe > Mn > Pb > Cu > Zn > Cd > Ni > Co, while in the Kuban, the order was Fe > Pb > Zn > Ni > Mn > Cd, with copper and cobalt not detected. The levels of Zn, Cu, Pb, Cd, and Ni were above Russia’s maximum permissible concentration in both rivers. The water pollution index (WPI) values in Urup ranged from 12.97 to 28.17, indicating that the river is extremely polluted (Class VII), while the WPI value for Kuban ranged from 2.34 to 4.33 downstream of the tailings site, which corresponds to Class IV (contaminated). Calculating the coefficient of accumulation in sediments (CAS) revealed that in Urup, the CAS values for Ni and Cu were 3046 and 11638, respectively, which indicates an emergency environmental situation, while for Co, Fe, and Mn, the situation is high level chronic pollution (CAS > 104). The Kuban CAS values of Fe and Mn were also > 104, again highly and chronically polluted. Most of the metals in both rivers are bound to the sediments, with minimal mobility. The potential ecological risk is moderate to considerable in Urup, and low in the Kuban River. In der Region Nordkaukasus in Südrussland wurden im Wasser und in den Bodensedimenten der Flüsse Urup und Kuban in der Nähe von Tailings die Konzentrationen von Metallen bestimmt. Im Urup folgten die durchschnittlichen Konzentrationen der Reihenfolge Fe > Mn > Pb > Cu > Zn > Cd > Ni > Co, während im Kuban die Reihenfolge Fe > Pb > Zn > Ni > Mn > Cd lautete und Kupfer und Kobalt nicht nachgewiesen wurden. Die Konzentrationen von Zn, Cu, Pb, Cd und Ni lagen in beiden Flüssen über der in Russland jeweils maximal zulässigen Konzentration. Die Werte des Wasserverschmutzungsindex (WPI) für den Urup reichten von 12,97 bis 28,17, was darauf hinweist, dass der Fluss extrem belastet ist (Klasse VII), während der WPI-Wert für den Kuban stromabwärts der Tailings von 2,34 bis 4,33 reichte (Klasse IV, kontaminiert). Die Berechnung des Sedimentakkumulations-Koeffizienten (CAS) ergab, dass für den Urup die CAS-Werte für Ni und Cu 3.046 bzw. 11.638 betrugen, was auf eine Umweltkatastrophe hinweist, währenddessen die CAS-Werte > 104 für Co, Fe und Mn einen hohen Grad chronischer Verschmutzung anzeigen. Für den Kuban waren die CAS-Werte von Fe und Mn ebenfalls > 104, was wiederum eine hohe chronische Verschmutzung bedeutet. In beiden Flüssen sind die meisten Metalle mit minimaler Mobilität an die Sedimente gebunden. Das potentielle ökologische Risiko ist im Urup-Fluss mäßig bis beträchtlich und im Kuban-Fluss niedrig Las concentraciones de metales se determinaron en el agua y los sedimentos del fondo de los ríos Urup y Kuban cerca de los sitios de relaves en la región del Cáucaso Norte del sur de Rusia. Las concentraciones promedio en el Urup siguieron el orden Fe> Mn> Pb> Cu> Zn> Cd> Ni> Co, mientras que en el Kuban el orden fue Fe> Pb> Zn> Ni> Mn> Cd, con cobre y cobalto no detectado. Los niveles de Zn, Cu, Pb, Cd y Ni estuvieron por encima de la concentración máxima permitida de Rusia en ambos ríos. Los valores del índice de contaminación del agua (IPM) en Urup variaron de 12,97 a 28,17, lo que indica que el río está extremadamente contaminado (Clase VII) mientras que el valor del IPM para Kuban varió de 2,34 a 4,33 aguas abajo del sitio de colas, que corresponde a Clase IV (contaminado). El cálculo del coeficiente de acumulación en sedimentos (CAS) reveló que en Urup, los valores de CAS para Ni y Cu fueron 3046 y 11638, respectivamente, lo que indica una situación ambiental de emergencia, mientras que para Co, Fe y Mn, la situación es de alto nivel contaminación crónica (CAS> 104). Los valores CAS de Kuban de Fe y Mn también fueron > 104, nuevamente muy contaminados crónicamente. La mayoría de los metales en ambos ríos están ligados a los sedimentos, con una movilidad mínima. El riesgo ecológico potencial es de moderado a considerable en Urup y bajo en el río Kuban. 研究了俄罗斯南部北高加索地区尾矿附近Urup河和Kuban河的河水与河流沉积物金属浓度。Urup河金属离子浓度顺序为Fe>Mn>Pb>Cu>Zn>Cd>Ni>Co;Kuban河内金属离子浓度顺序为Fe>Pb>Zn>Ni>Mn>Cd,未检测出Cu和Co。Zn、Cu、Pb、Cd和Ni浓度已经超过两条河的最大允许浓度。Urup河水污染指数为(WPI) 12.97~28.17,表明河水已被严重污染(VII类);Kuban河水在尾矿下游的污染指数(WPI)为2.34~4.33,相当于IV类污染。Urup河的Ni和Cu沉积物累积系数(CAS)已高达3046和11638,环境形势严峻,Co、Fe和Mn呈现高水平慢性污染(CAS>104)。Kuban河的Fe和Mn沉积累积系数(CAS)值也大于104,处于高水平慢性污染状态。两条河中金属沉淀特征明显,迁移程度较小。Urup生态风险中等~严重,Kuban河流生态风险较低。
Hani Abu Qdais; Inna Vladimirovna Begday; Igor Yuryevich Katorgin; Konstantin Yuryevich Shkarlet; Konstantin Viktorovich Kharin; Anastasia Sergeevnna Bluzhina; Andrey Aleksandrovich Likhovid. Assessment of Metals Pollution from Tailing Sites in the North Caucuses Region, Russia. Mine Water and the Environment 2018, 37, 815 -824.
AMA StyleHani Abu Qdais, Inna Vladimirovna Begday, Igor Yuryevich Katorgin, Konstantin Yuryevich Shkarlet, Konstantin Viktorovich Kharin, Anastasia Sergeevnna Bluzhina, Andrey Aleksandrovich Likhovid. Assessment of Metals Pollution from Tailing Sites in the North Caucuses Region, Russia. Mine Water and the Environment. 2018; 37 (4):815-824.
Chicago/Turabian StyleHani Abu Qdais; Inna Vladimirovna Begday; Igor Yuryevich Katorgin; Konstantin Yuryevich Shkarlet; Konstantin Viktorovich Kharin; Anastasia Sergeevnna Bluzhina; Andrey Aleksandrovich Likhovid. 2018. "Assessment of Metals Pollution from Tailing Sites in the North Caucuses Region, Russia." Mine Water and the Environment 37, no. 4: 815-824.
In light of the significant developments in higher education in recent years such as globalization, and the resulting survival challenges including but not limited to unprecedented expansion and ensuing intense competition, higher education institutions across the world had to implement international quality standards. Realizing the challenge, JUST had quality embedded in its core strategic objectives and explicitly highlighted it in its vision and mission statements. However, unlike the vast majority of higher education institutions where quality is perceived in terms of purely academic-only parameters, JUST elected to proceed in an integrated quality approach. The approach entails addressing simultaneously both academic and administrative aspects in an integrative complimentary manner. In the implementation phase, JUST put down a comprehensive total quality management system that enjoys full top management support and involves representations from all aspects of the university’s operations, departments, and units. It is claimed that thanks to this approach, JUST secured an advanced distinguished place in terms of quality that manifested itself in pioneering in local and international accreditations, as well as leading positions in world university rankings.
Mohamad I. Al-Widyan; Hani Abu Qdais. Quality Assurance at Jordan University of Science and Technology (JUST): Integrating Administrative Quality and Academic Accreditation. The Future of Higher Education in the Middle East and Africa 2018, 21 -31.
AMA StyleMohamad I. Al-Widyan, Hani Abu Qdais. Quality Assurance at Jordan University of Science and Technology (JUST): Integrating Administrative Quality and Academic Accreditation. The Future of Higher Education in the Middle East and Africa. 2018; ():21-31.
Chicago/Turabian StyleMohamad I. Al-Widyan; Hani Abu Qdais. 2018. "Quality Assurance at Jordan University of Science and Technology (JUST): Integrating Administrative Quality and Academic Accreditation." The Future of Higher Education in the Middle East and Africa , no. : 21-31.
Agro-industrial wastes are posing serious challenges for the agro-industries. Composting and co-composting of such wastes will lead to converting such wastes into a useful product that will serve as a soil conditioner. The present research investigated the kinetics of composting and co-composting of several agro-industrial wastes. Seven pilot scale composting and co-composting piles of substrates from grain dust (GD), coffee-processing waste (CPW) and olive mill waste (OMW) were tested. Temperature and moisture content of the piles were monitored during the composting process and adjusted whenever necessary. The biodegradation kinetics was found to be of first order for all composting and co-composting piles. As judged by the value of the reaction rate constant, and the temperature of the piles, the biodegradability of the grain dust was the highest among all composting piles, followed by the coffee-processing residue and finally the fresh olive mill waste. As for the co-composting, the highest degradability was noticed in the pile that was composed of grain dust and coffee-processing waste followed by that of grain dust mixed with dry olive mill waste, and then followed by coffee-processing waste and dry olive mill waste and finally by grain dust with fresh olive-processing waste. Composting and co-composting of agro-industrial wastes is a low cost and an environmentally friendly waste management option for solving the problem of the disposal of such waste. The study revealed that all piles followed first-order kinetics with different biodegradability rates.
Hani Abu Qdais; Mohamad Al-Widyan. Evaluating composting and co-composting kinetics of various agro-industrial wastes. International Journal of Recycling of Organic Waste in Agriculture 2016, 5, 273 -280.
AMA StyleHani Abu Qdais, Mohamad Al-Widyan. Evaluating composting and co-composting kinetics of various agro-industrial wastes. International Journal of Recycling of Organic Waste in Agriculture. 2016; 5 (3):273-280.
Chicago/Turabian StyleHani Abu Qdais; Mohamad Al-Widyan. 2016. "Evaluating composting and co-composting kinetics of various agro-industrial wastes." International Journal of Recycling of Organic Waste in Agriculture 5, no. 3: 273-280.
Jordan has witnessed a rapid increase in healthcare facilities during the last two decades. As a consequence, the amount of generated medical waste have been increased rapidly and a proper management system is indeed needed to eliminate the environmental and health hazards resulted from such waste. An approved medical waste treatment facility is the incinerator located at the northern region of Jordan which serves the four northern governorates. Two trucks are used to pickup waste from the hospitals in these governorates to be treated at the incinerator. In this paper, a route scheduling model is proposed to minimize the total travel distance which in turn minimizes transportation cost and reduces emissions. The proposed model takes into account the capacity of trucks, number of visits per week, timing between visits along with the service level required by the hospitals. An optimal routing schedule was found and verified. Compared to current routing schedule, a saving of 102 km per week was achieved.
Hussam Alshraideh; Hani Abu Qdais. Stochastic modeling and optimization of medical waste collection in Northern Jordan. Journal of Material Cycles and Waste Management 2016, 19, 743 -753.
AMA StyleHussam Alshraideh, Hani Abu Qdais. Stochastic modeling and optimization of medical waste collection in Northern Jordan. Journal of Material Cycles and Waste Management. 2016; 19 (2):743-753.
Chicago/Turabian StyleHussam Alshraideh; Hani Abu Qdais. 2016. "Stochastic modeling and optimization of medical waste collection in Northern Jordan." Journal of Material Cycles and Waste Management 19, no. 2: 743-753.
This paper considers the process of selecting a appropriate olive mill solid waste management option in Jordan. Six alternatives were found to be possible options for olive mill solid waste management. Those alternatives are: animal feed, energy recovery, extraction of useful materials, co-combustion, fertilizers, and disposal without treatment. Prioritization of these six alternatives was performed through the analytical hierarchy process. Management options were prioritized based on three criteria: environmental effects, economical benefits, and the technology involved. Priorities given to each of criteria were evaluated through soliciting experts and olive mills owners opinions. Analytical hierarchy process model results revealed that co-combustion option is most favorable followed by the animal feed alternative and lease favorable is disposal without treatment. Sensitivity of the proposed analytical hierarchy process model was addressed as the priorities may change. Model sensitivity analysis showed that our model decision is robust to moderate changes in priorities. Unless the environmental criteria given a very high priority, co-combustion remains as the most favorable management option.
Hani Abu Qdais; Hussam Alshraideh. Selection of management option for solid waste from olive oil industry using the analytical hierarchy process. Journal of Material Cycles and Waste Management 2014, 18, 177 -185.
AMA StyleHani Abu Qdais, Hussam Alshraideh. Selection of management option for solid waste from olive oil industry using the analytical hierarchy process. Journal of Material Cycles and Waste Management. 2014; 18 (1):177-185.
Chicago/Turabian StyleHani Abu Qdais; Hussam Alshraideh. 2014. "Selection of management option for solid waste from olive oil industry using the analytical hierarchy process." Journal of Material Cycles and Waste Management 18, no. 1: 177-185.
A comprehensive assessment of heavy metals and organic content was performed for leachates produced from a number of old and new landfills in Jordanover 9 month in efforts to set a framework for treatment regulations. All leachates were basic (pH = 7 - 9) and have high electric conductivity and high organic contents (COD = 3000 - 500,000 mg/L, TOC= 500 - 21,000 mg/L). The organic content was inversely proportional to the age of landfill. Heavy metals analysis showed no significant threat of Co, Zn, Pb and Al in any site. Meanwhile, the concentrations of Cr, Mn, Ni, Cd and As were high, exceeding local and international standard limits. Typical physical, chemical and biological treatments can be employed to upgrade the leachates of the active Ghabawi and Akaider sites. Whereas for the high organic strength of Russeifeh, an adsorption treatment by activated carbon is recommended.
Malyuba Abu-Daabes; Hani Abu Qdais; Hatem Alsyouri. Assessment of Heavy Metals and Organics in Municipal Solid Waste Leachates from Landfills with Different Ages in Jordan. Journal of Environmental Protection 2013, 04, 344 -352.
AMA StyleMalyuba Abu-Daabes, Hani Abu Qdais, Hatem Alsyouri. Assessment of Heavy Metals and Organics in Municipal Solid Waste Leachates from Landfills with Different Ages in Jordan. Journal of Environmental Protection. 2013; 04 (04):344-352.
Chicago/Turabian StyleMalyuba Abu-Daabes; Hani Abu Qdais; Hatem Alsyouri. 2013. "Assessment of Heavy Metals and Organics in Municipal Solid Waste Leachates from Landfills with Different Ages in Jordan." Journal of Environmental Protection 04, no. 04: 344-352.