Regional Demand Research Articles

Curricular innovation for economic symbiosis: a neural network approach to aligning university supply chain programs with regional industry demands

Curricular innovation for economic symbiosis: a neural network approach to aligning university supply chain programs with regional industry demands

A machine learning framework for spatio-temporal vulnerability mapping of groundwaters to nitrate in a data scarce region in Lenjanat Plain, Iran.

The temporal aspect of groundwater vulnerability to contaminants such as nitrate is often overlooked, assuming vulnerability has a static nature. This study bridges this gap by employing machine learning with Detecting Breakpoints and Estimating Segments in Trend (DBEST) algorithm to reveal the underlying relationship between nitrate, water table, vegetation cover, and precipitation time series, that are related to agricultural activities and groundwater demand in a semi-arid region. The contamination probability of Lenjanat Plain has been mapped by comparing random forest (RF), support vector machine (SVM), and K-nearest-neighbors (KNN) models, fed with 32 input variables (dem-derived factors, physiography, distance and density maps, time series data). Also, imbalanced learning and feature selection techniques were investigated as supplementary methods, adding up to four scenarios. Results showed that the RF model, integrated with forward sequential feature selection (SFS) and SMOTE-Tomek resampling method, outperformed the other models (F1-score: 0.94, MCC: 0.83). The SFS techniques outperformed other feature selection methods in enhancing the accuracy of the models with the cost of computational expenses, and the cost-sensitive function proved more efficient in tackling imbalanced data issues than the other investigated methods. The DBEST method identified significant breakpoints within each time series dataset, revealing a clear association between agricultural practices along the Zayandehrood River and substantial nitrate contamination within the Lenjanat region. Additionally, the groundwater vulnerability maps created using the candid RF model and an ensemble of the best RF, SVM, and KNN models predicted mid to high levels of vulnerability in the central parts and the downhills in the southwest.

Driving forces and typologies behind household energy consumption disparities in China: A machine learning-based approach

Establishing an intuitive link between driving factors of household energy consumption activities and inequalities is important for the understanding of household heterogeneity in energy consumption behaviours. This paper proposes a novel typology framework based on machine learning approaches and data from 3637 Chinese households in 2014 from 85 cities. Activity-based energy consumption was measured, highlighting inequalities across activities, regions and household types. The results showed significant energy consumption disparities between urban/rural and north/south households, especially in cooking, space heating and vehicle activities. By identifying driving factors of energy consumption, a new household typology classified samples into 6 (all), 6 (urban) and 7 (rural) types. Within these types, households with similar demographic structures, lifestyles and energy consumption habits were clustered. Demographic structure, region, and primary energy demand were used as the basis for the typology. The findings demonstrated how household lifestyle differences explained the cause and underlying driving factors of urban-rural energy consumption inequalities and provided suggestions for city-by-city and type-by-type measurements to support effective low-carbon transformation in cities.

Unveiling Climate Trends and Future Projections in Southeastern Brazil: A Case Study of Brazil’s Historic Agricultural Heritage

The intricate relationship between climate and society in a given region demands a profound understanding of climate patterns, especially in agricultural areas like Diamantina, Minas Gerais (MG), recognized by the Food and Agriculture Organization (FAO) as the birthplace of the first Globally Important Agricultural Heritage System (GIAHS) in Brazil, situated in the southwest region of the country. Given the growing concerns about climate change, we conducted a meticulous analysis of the climatic characteristics of Diamantina-MG. To achieve this, we examined historical meteorological data from 1973 to 2022, employing the Mann–Kendall and Sen’s slope tests to analyze trends. Additionally, we utilized three global climate models (GCMs) under different shared socioeconomic pathways (SSPs) to predict future climate scenarios (2021–2100) based on the projections of the sixth phase of the Coupled Model Intercomparison Project (CMIP6). Furthermore, we used Köppen and Thornthwaite climate classification methodologies to characterize both the current and future climate conditions of the region. Our results indicate that, historically, Diamantina-MG has experienced significant increases in minimum temperature, indicating a warmer climate in recent decades. For temperature, the projections show a consensus among models, projecting a continuous increase, potentially reaching up to 5.8 °C above the historical average temperature (19.2 °C) by the end of the century. Regarding rainfall projections, they show greater uncertainty, with discrepancies among models observed until 2060. However, specifically for the second half of the century (2060–2100), the models agree that there will be increases in annual rainfall. Regarding the climatic types of the region, we found that the current Köppen Cwb and Thornthwaite B3rB’3a’ classifications could shift to Aw and B1wA’a’, representing a humid tropical savanna climate with longer periods of water deficiency, considering the impacts resulting from increased air temperature and evapotranspiration. In summary, the study’s results indicate that climate changes are occurring and are likely to intensify in the Jequitinhonha Valley region, MG, in the future. The analysis of these data, from the perspective of the Brazilian GIAHS sustainability, reveals the importance of considering adaptation and mitigation measures to ensure the resilience of agricultural systems and local communities in the region that face these significant environmental changes.

Energy estimation of small-scale jets from the quiet-Sun region

Context. Solar jets play a role in coronal heating and the supply of solar wind. Aims. In this study, we calculate the energies of 23 small-scale jets emerging from a quiet-Sun region in order to investigate their contributions to coronal heating. Methods. We used data from the High-Resolution Imager (HRI) of the Extreme Ultraviolet Imager (EUI) on board the Solar Orbiter. Small-scale jets were observed by the HRIEUV 174 Å passband in the high cadence of 6 s. These events were identified by the time–distance stacks along the trajectories of jets. Using the simultaneous observation from the Atmospheric Imaging Assembly (AIA) on board the Solar Dynamics Observatory (SDO), we also performed a differential emission measure (DEM) analysis on these small-scale jets to obtain the physical parameters of plasma, which enabled us to estimate the kinetic and thermal energies of the jets. Results. We find that most of the jets exhibit common unidirectional or bidirectional motions, while some show more complex behaviors; namely, a mixture of unidirection and bidirection. A majority of jets also present repeated eruption blobs (plasmoids), which may be signatures of the quasi-periodic magnetic reconnection that has been observed in solar flares. The inverted Y-shaped structure can be recognized in several jets. These small-scale jets typically have a width of ∼0.3 Mm, a temperature of ∼1.7 MK, an electron number density of ≳109 cm−3, with speeds in a wide range from ∼20–170 km s−1. Most of these jets have an energy of 1023–1024 erg, which is marginally smaller than the energy of typical nanoflares. The thermal energy fluxes of 23 jets are estimated to be (0.74–2.96)×105 erg cm−2 s−1, which is almost on the same order of magnitude as the energy flow required to heat the quiet-Sun corona, although the kinetic energy fluxes vary over a wide range because of their strong dependence on velocity. Furthermore, the frequency distribution of thermal energy and kinetic energy both follow the power-law distribution N(E)∝E−α. Conclusions. Our observations suggest that although these jets cannot provide sufficient energy to heat the whole quiet-Sun coronal region, they are likely to account for a significant portion of the energy demand in the local regions where the jets occur.

ECONOMIC AND SOCIAL BENEFITS OF ROBOTICS IN SOLAR AND BIOMASS ENERGY: A REVIEW WITH IMPLICATIONS FOR BIHAR

Robotics integration in the renewable energy sectors of solar and biomass energy can change energy production, improve efficiency, and introduce sustainability practices. This review paper will address some of the economic and social benefits of robotics in such energy domains, specifically for the state of Bihar in India, where substantial challenges in the production of energy are present. To initiate, the paper will discuss the situation of solar and biomass energy in Bihar: where this state is still poor concerning the provision of electricity, which indicates the amount of dependency that the state has with the conventional energy, and thus how urgent the need is for alternative sustainable sources. We then analyze the appraisal of how robotics can maximize energy production through automation, precision agriculture, and predictive maintenance-cutting operational costs and therefore maximizing energy output. The paper discusses various robotic applications such as automated solar panel cleaning systems and biomass processing robots, about which emphasis was placed for improving productivity and operational efficiency. We also take into account the socio-economic impacts of introducing robotics into these energy sectors. Improved access to energy, through more efficient modes of production, holds the promise of lifting local economic performance and providing employment opportunities and reducing energy poverty. However, the paper also addresses some of the possible challenges, such as some displacement of jobs and hence the need for upgradation in skills in response to new technologies. To put this into perspective, the literature synthesis and case studies are reviewed below to give an overview of successful implementations of robotics in renewable energy globally. We further discuss policy recommendations and strategies that must be integrated into Bihar's energy framework to support sustainable development goals and address regional energy demands. Hence, in conclusion, the strategic deployment of robotics in solar and biomass energy does not merely serve to provide significant economic advantage but also contributes to social development of Bihar to ensure a viable and sustainable future of the energy world.

Heterogeneous brain region-specific responses to astrocytic mitochondrial DNA damage in mice.

Astrocytes use Ca 2+ signals to regulate multiple aspects of normal and pathological brain function. Astrocytes display context-specific diversity in their functions, and in their response to noxious stimuli between brain regions. Indeed, astrocytic mitochondria have emerged as key players in governing astrocytic functional heterogeneity, given their ability to dynamically adapt their morphology to regional demands on their ATP generation and Ca 2+ buffering functions. Although there is reciprocal regulation between mitochondrial dynamics and mitochondrial Ca 2+ signaling in astrocytes, the extent of this regulation into the rich diversity of astrocytes in different brain regions remains largely unexplored. Brain-wide, experimentally induced mitochondrial DNA (mtDNA) loss in astrocytes showed that mtDNA integrity is critical for proper astrocyte function, however, few insights into possible diverse responses to this noxious stimulus from astrocytes in different brain areas were reported in these experiments. To selectively damage mtDNA in astrocytes in a brain-region-specific manner, we developed a novel adeno-associated virus (AAV)-based tool, Mito-PstI, which expresses the restriction enzyme PstI, specifically in astrocytic mitochondria. Here, we applied Mito-PstI to two distinct brain regions, the dorsolateral striatum, and the hippocampal dentate gyrus, and we show that Mito-PstI can induce astrocytic mtDNA loss in vivo , but with remarkable brain-region-dependent differences on mitochondrial dynamics, spontaneous Ca 2+ fluxes and astrocytic as well as microglial reactivity. Thus, AAV-Mito-PstI is a novel tool to explore the relationship between astrocytic mitochondrial network dynamics and astrocytic mitochondrial Ca 2+ signaling in a brain-region-selective manner.

Temperature effects on ion migration and energy consumption during brackish water electrodialysis desalination

Electrodialysis (ED) is a well-established brackish water (BW) desalination technology based on the selective electro-transfer mechanism of ions for meeting freshwater demands in scarce water regions. While the influence laws of water temperature difference caused by changing seasons on the performance of BWED need to be clarified further. This study examined the effect of temperature on the desalination efficiency and energy consumption of BWED by controlling the water temperature with a constant temperature tank. Results showed that higher temperature significantly increased the current density and salt flux of BWED, but also caused a decrease and then an increase in energy consumption. The apparent activation energy of BWED system in low temperature range is about 40 % higher than that in high temperature range, indicating that higher temperature is contributed to reduce the ion transport resistance. While higher temperature increased ion diffusivity and membrane pore size, with a corresponding rise in LCD of ∼0.41 mA/cm2 and an increase in desalination ratio of ∼7.75 % for increment of every 10 °C, thus enhanced reverse salt diffusion. The running parameters of BWED system should be regularly regulated with the seasonal temperature based on the trade-off between desalination efficiency and energy consumption to ensure an efficient operation.

P.044 Ambient air pollution and emergency department presentations for pediatric primary headache and seizure disorders in Calgary, Canada

Background: Climate change, and fossil fuel combustion threaten the health of children globally through direct and indirect mechanisms,1 such as the exacerbation of ambient air pollution.1,2 Increased ambient air pollutant concentrations are associated with emergency department (ED) visits for episodic and paroxysmal neurologic conditions in adults in the Toronto region of Canada.4,5 We hypothesize that, in Calgary, Alberta, increased ambient air pollutants will be positively associated with the daily burden of pediatric ED presentations for migraine and seizures, and that a greater effect size may be present due to increased regional variability in ambient PM2.5 concentrations.3,4 Methods: Emergency records from the National Ambulatory Care Reporting System, comprising 17552 primary seizure and headache cases between 0-18 years of age and presenting to Calgary-region emergency departments between January 2012-December 2021, will be included. Quasi-Poisson regression modeling incorporating ambient air pollutants, seasonality and meteorological covariates will estimate relative risk and 95% confidence intervals of ED visit counts relative to increases in air pollutants. Results: Results currently pending and will be available for presentation. Conclusions: Significant results may inform further inquiry into the impact of air pollutants on children with neurological conditions and identify potential contributions of air quality to healthcare service demand in the Calgary region.

A Study on the Impact of Income Gap on Consumer Demand: An Empirical Test Based on the Spatial Panel Durbin Model

The study utilizes China Household Panel Survey (CFPS) data from 2010 to 2020 to create a spatial panel Durbin model and examines the spatial spillover effect of the income gap on consumer demand using spatial econometric techniques. Studies have shown that the income gap has a notable inverted U-shaped influence on consumer demand, and there is a strong inverted U-shaped spatial spillover effect between surrounding locations. Expanding the income difference within a specific range boosts consumer demand in both local and surrounding areas. Further increasing the income difference impedes the growth of consumer demand in both local and surrounding regions. Regional variations significantly impact how the income gap affects consumer demand through spatial spillover. From the perspective of consumption quantity, the “inverted U-shaped” inflection point in economically developed regions and eastern regions is on the left side of economically underdeveloped regions and western regions; from the perspective of consumer quality, this result is exactly the opposite. China should persist in enhancing efforts to advance income distribution system reform and improvement, bolster the development of inclusive, fundamental, and grassroots livelihoods, manage residents’ income gap amid evolving income levels, and stimulate consumer demand in local and neighboring regions.

Osseodensification: An Innovative Technique With Manifold Gains.

Prosthodontics, which isremovable and fixed, is the branch dealing with the replacement of missing teeth. Implant therapy is the popular treatment modality and commonly preferred treatment option by many patients and clinicians for missing teeth in recent years. Primary implant stability (PIS) is one of the crucial factors for osseointegration. It has been considered a crucial factor in the success of implants. Moreover, several factors influence PIS. On the other hand, both secondary implant stability and osseointegrationare influenced by the PIS. Bone density, bone volume, bone-to-implant contact, and other factors that enhance or degrade the primary stability. Certain host sites such as the maxillary posterior region demand more dense bone to achieve desired results as they are the low-density areas of the jaw. So, a new promising and growing innovative concept of osseodensification (OD) offers a great solution with multiple benefits and desirable results. This review article aims to enlighten the multiple benefits of OD technique and their mechanism of action.

Remembering for resilience: nature-based tourism, COVID-19, and green transitions

The COVID-19 pandemic had transformative effects on the tourism sector at an unparalleled scale. With the rapid onset of unprecedented travel restrictions, tourists were abruptly confined to experiences in their regional surroundings that led to new and refreshed relationships with local destinations. This paper draws on qualitative interviews with small tourism businesses in two distinct but proximate nature-based destinations in Ontario, Canada and considers how they responded to the COVID-19 pandemic. Findings are positioned within Holling's Adaptive Cycle to consider implications for ongoing resiliency planning for disturbances relating to climate change. Over a 2-year period (2020–2022), SMEs revealed that after an initially turbulent period they quickly adapted to the absence of international long-haul visitors by embracing a surge in domestic demand for nature-based, outdoor experiences. The paper contributes to the literature on tourism SMEs by connecting experiences of COVID-19 to resiliency planning for future predictable disturbances. Two critical lessons for enhancing destination resiliency are identified: engagement of regional tourism demand, and destination level leadership, through investment in infrastructure and partnerships, can both be harnessed to support SMEs and their communities in transitioning toward a more sustainable, resilient and climate-friendly tourism future. Given the growing demand for tourism businesses to transition away from environmentally harmful practices and a longstanding dependency on economic growth, these resources can help destinations enhance preparedness for future changes to tourism flows driven by decarbonization scenarios and increased climatic impacts.

The Impact of Implementing a Carbon Tax on Welfare: Case Study of Indonesia and The Other ASEAN Member Countries

Green House Gases emitted into the atmosphere over decades cause global warming now. The aim of this research is the impact of implementing the carbon tax on welfare in Indonesia. The research method used is the CGE method using GTAP-E to evaluate energy policy in the economy. GTAP-E consists of 140 countries and 57 sectors combined into forty-two regions and eight sectors. Using carbon tax scenario (simulation 1 is 1.93 USD/ton CO 2, simulation 2 is 3.72 USD/ton CO 2, and simulation 3 is 4.83 USD/ton CO 2). The results of the Indonesian equivalent variation show a negative value. The higher the carbon tax is applied, the greater the decline in welfare. This is also felt by all research countries except the Philippines, Singapore, Thailand, Oceania, OtherSEAsia, East Asia, Argentina, Japan, Poland, Portugal, and Ukraine. The variable of the regional demand, it can be seen that the carbon tax causes Indonesia's regional income to increase, and Singapore's income to decrease, while other countries experience no change in income. The primary factor return ratio also shows that the increase in the carbon tax caused a decline in the Land, Unsklab, Sklab, Capital, and Natural Resources sectors. Indonesia's GDP also shows a decrease if a higher carbon tax is implemented, but other countries have no impact on GDP. The Carbon emissions show that it decreases to Indonesia. So, the implementation of the carbon tax causes a decrease in welfare as seen from the equivalent variation, Primary Return Ratio, and GDP in Indonesia. The government must have an alternative policy if a carbon tax is implemented in Indonesia.

Revealing the supply-demand relationship of urban cultural ecosystem services: The combination of open-source spatial model and topic model

Cultural ecosystem services (CES) are of significant interest due to their effectiveness in assessing the impact of ecosystem degradation on human well-being. The evaluation of spatial coordination between the supply and demand of urban CES is crucial for guiding the sustainable development of urban areas. However, current research and survey methods are time-consuming and laborious, lacking in full integration of beneficiary opinions, and insufficient in examining multiple CES in an integrated manner. In this study, we have developed a novel framework that integrates an investigation-driven approach with a natural language processing topic model to assess the supply and demand of CES and their spatial correspondence. Using the main urban area of Xi'an as a case study, we analyzed the spatial coherence of supply and demand including aesthetic, cultural, educational, recreational, and spiritual services. Our findings demonstrate that the fusion of multiple models can effectively evaluate the CES supply from a natural perspective of nature and the demand for CES from a beneficiary perspective. High-supply areas for CES are concentrated in the center region of the study area and in proximity to roads and rivers. Aesthetic service supply was higher than that of other service types, followed by recreational and spiritual services supply. Demand is notably high in the city's hinterland, with substantial interest in recreational and aesthetic services. We observed mismatches between supply and demand across service categories ranging from 33.58% to 67.64%, with supply exceeding demand in most regions. Therefore, tailored measures should be implemented to address the supply and demand mismatch of CES based on local conditions. Our research introduces a new technical tool for analyzing the supply-demand matching relationship of CES and establishes a theoretical foundation for sustainable urban management.

Theoretical insights into IT governance and compliance in banking: Perspectives from African and U.S. regulatory environments

This review paper provides a comprehensive comparative analysis of IT governance and compliance within the banking sectors of Africa and the U.S., highlighting the intricacies of navigating diverse regulatory environments. Through examining governance strategies, compliance mechanisms, and best practices, the paper underscores the adaptation of frameworks like COBIT, ISO/IEC 27001, and ITIL to meet regional regulatory demands and operational challenges. Key insights reveal significant differences in regulatory landscapes, technological maturity, and cybersecurity and risk management approaches. The analysis identifies best practices and lessons that can be leveraged globally, suggesting areas for future research including emerging technologies and the impact of global regulations. This work aims to enhance understanding of IT governance and compliance, offering valuable perspectives for banks, regulators, and policymakers. Keywords: IT Governance, Compliance, Banking Sector, Regulatory Environment, Cybersecurity, Emerging Technologies.

THE INFLUENCE OF INTERNATIONAL LAW ON MUNICIPAL LEGAL SYSTEMS IN ASEAN

<p>The paper explores the influence of international law on ASEAN member states' municipal legal systems, with a focus on treaty incorporation, customary international law, and involvement with international jurisprudence and institutions. It emphasizes the challenges that ASEAN faces, such as fragmentation, a lack of public awareness, and varying political conditions, which interfere with the unified implementation of international law. Despite these challenges, mutual dependence and aspirations for regional integration demand continuous compliance to international law. The ASEAN Charter plays an essential role in strengthening the region's legal framework. Furthermore, efforts to address fragmentation, raise public awareness, and increase stronger political commitment to international law are essential for an ASEAN region that is stable, honors human rights, and is fully integrated.</p><p>Keywords: ASEAN, Compliance, International law,</p>

Sustainable Development of Fisheries and Aquaculture in North Africa: Current Status and Future Prospects

This paper delves into the fisheries and aquaculture sectors of five North African countries—Morocco, Algeria, Tunisia, Libya, and Egypt—highlighting their critical roles in economic stability and food security amid increasing regional demands for animal protein. Despite the rich marine ecosystems and substantial contributions to national economies and employment, most of these regions face several challenges in fisheries management due to limited knowledge, weak institutional frameworks, and insufficient international cooperation. The paper emphasizes the necessity of transitioning towards sustainable aquaculture practices to preserve natural fish stocks and augment food production capacities. Although legal and sustainable capture fisheries remain vital, the focal point of this review is the potential for aquaculture to meet the growing population's needs without exacerbating the pressures on marine ecosystems. The paper evaluates the current state of fisheries management, identifies challenges in scaling aquaculture, and discusses innovative practices that could lead to more sustainable and productive outcomes. The study calls for improved management strategies, enhanced research and training, and more significant investment in aquaculture to ensure sustainable development of the fisheries sector, ultimately contributing to food security, economic growth, and conservation of marine biodiversity.

Demand and key technology for a LEO constellation as augmentation of satellite navigation systems

A Low Earth Orbit (LEO) constellation augmenting satellite navigation is important in the future development of Global Navigation Satellite System (GNSS). GNSS augmented by LEO constellations can improve not only the accuracy of Positioning, Navigation, and Timing (PNT), but also the consistency and reliability of secure PNT system. This paper mainly analyzes the diverse demands of different PNT users for LEO augmented GNSS, including the precision demand in real-time, the availability demand in special areas, the navigation signal enhancement demand in complex electromagnetic environments, and the integrity demand with high security. Correspondingly, the possible contributions of LEO constellations to PNT performance are analyzed from multiple aspects. A particular attention is paid to the special PNT user requirements that cannot be fulfilled with existing GNSS, such as the PNT service demand in the polar regions and the onboard GNSS orbit determination demand of some LEO satellites. The key technologies to be considered in the constellation design, function realization, and payload development of the LEO-augmented navigation system are summarized.

Assessing groundwater quality in semi-arid conditions: a geographic information systems-integrated approach using water quality index

Meeting freshwater demands in water-scarce regions is imperative, given challenges like hydric stress, urbanization, aridity, and population growth. This study focuses on the Tebessa aquifer system, a critical water source facing escalating demands. A primary objective is to identify actionable management strategies to improve groundwater quality dynamics in semi-arid regions. The methodology involves a comprehensive assessment of groundwater health using the Water Quality Index (WQI) approach. This method integrates diverse parameters influenced by intensive agricultural and industrial activities. Additionally, spatial relationship analysis, facilitated by Geographic Information System (GIS) technology, is employed to gain insights into complex hydrogeological processes. The multi-parameter strategy implemented results in water quality maps that highlight various ions, revealing spatial disparities and assigning quality priority classes from 'Good' to 'Poor' across the groundwater. The research, conducted in the semi-arid Tebessa-Morsott Plain, encompasses field and laboratory investigations to delineate hydrochemical traits, including alkalinity, salinity, and heightened ion concentrations. The results of the study contribute to scientific understanding by uncovering interrelationships and spatial intricacies, offering valuable insights for water resource governance. The effectiveness of the methodology, incorporating WQI and GIS, is demonstrated in the comprehensive evaluation of groundwater quality. Ultimately, this research provides a foundation for informed decision-making and sustainable management of groundwater resources in semi-arid regions.

Does climate change affect wheat productivity and water demand in arid regions? Case study of Egypt

The study investigates the effects of climate change on wheat productivity (Yw) and crop water requirements (CWR) across different regions in Egypt, highlighting the potential threat to the country's wheat self-sufficiency goals. Data spanning from 1987 to 2019 from lower, middle, and upper Egypt, as well as areas outside the Nile valley of Egypt, underwent both parametric and non-parametric statistical analysis to discern trends in climate parameters and their impact on wheat growth stages. Findings reveal a significant increase (P ≤ 0.05) in Yw across the study areas, attributed to effective self-sufficiency strategies, with increases of 0.61, 0.60, 0.59, and 0.56 Mg ha−1 per decade in middle Egypt, outside the Nile valley, lower, and upper Egypt study zones, respectively. Although the observed significant increase in Yw, results revealed a significant negative relationship between Yw, maximum air temperature (Tmax), minimum air temperature (Tmin), and wheat growing degree days (GDD) depending on the study zone and the wheat growth stage. The study notes a more significant rise in Tmin than Tmax, adversely affecting Yw, particularly in upper Egypt, where Tmin rose by 0.43 °C per decade. CWR rose by ∼12 % in lower Egypt, ∼15 % in middle and upper Egypt, and ∼18 % outside the Nile valley between 2009 and 2019 compared to 1987–1997 under the best farming conditions. Wheat in middle Egypt showed resilience to climatic change, whereas in the Nile valley zone, the node development stage was significantly sensitive to Tmax fluctuations. In lower Egypt, Tmin and wheat GDD changes during anthesis and physiological stages significantly negatively impacted Yw. The study suggests that wheat self-sufficiency strategies in Egypt and similar climates should start to incorporate air temperature and GDD considerations. Recommendations include adopting heat, drought, and disease-resistant wheat varieties and focusing on expanding wheat cultivation in other zones rather than upper Egypt to cope with climate change.