Western Area Research Articles

Detection of hotspots and coldspots of the incidence of hand, foot and mouth diseases: A case study in Ho Chi Minh city, Vietnam

Background: Hand, foot, and mouth disease (HFMD) is a common pediatric illness mostly caused by Coxsackievirus A16 (CV-A16) and Human Enterovirus 71 (EV-A71). HFMD has grown significantly over the last 20 years, and it has drawn a lot of attention. To better understand of the epidemiology of HFMD, this study aims to investigate the use of Getis-Ord’s 𝐺𝑖 ∗ statistic in the identification of hotspots and coldspots of HFMD in Ho Chi Minh city, Vietnam. Methods: Getis-Ord’s 𝐺𝑖 ∗ statistic was first applied to identify hotspots and coldspots of HFMD incidence including highhigh, low-low spatial clusters. HFMD cases and infection rates collected in Ho Chi Minh were then used to explore the spatial clusters of HFMD Finally, the main findings will be discussed and summarised. Results: It was found that the large number of hand, foot and mouth disease cases were mainly concentrated in the western area of Ho Chi Minh City. A total of 04 hotspot clusters and 05 coldspots of HFMD infection rate were detected in the 29th week of 2024 in the west, center and north of Ho Chi Minh City, respectively. Whereas, 06 hotspots and 04 coldspots of HFMD infection rate were detected in the 30th week of 2024 in the west, south and center of Ho Chi Minh City, respectively. Conclusions: The results of this investigation confirm the value of Getis-Ord's 𝐺𝑖 ∗ statistic in the detection of hotspots and coldspots associated with confirmed cases of HFMD.

Temporal and spatial variations of land carbon loss caused by animal-sourced foods consumption in China and the driving factors

The booming animal-sourced foods consumption is a crucial factor driving regional land carbon loss due to the expanded feed use, especially in countries with rapid economic growth. Here, we contribute to revealing the land carbon loss of increased animal-sourced foods consumption in China. Results show that animal-sourced foods consumption in China increased significantly during 2000–2020, especially for beef, dairy and poultry which increased by more than 200 %. As a result, land carbon loss of animal-sourced foods consumption in China has increased by approximately 42 % during the period. Spatially, land carbon loss of animal-sourced foods consumption in most eastern provinces intensified, while that in most western areas declined. The rise of animal-sourced foods consumption per capita was the prominent positive driver for the increase of land carbon loss, while the decline of land carbon loss intensity was the most negative factor. Overall, the booming consumption for animal-sourced foods in China had the dual effects on promoting human dietary and triggering land carbon loss. Therefore, it is essential to formulate strategies for coordinating animal-sourced foods demand and land carbon conservation.

Bhutan's Three-Pronged Strategy, Stifled Democracy and Human Rights Concerns

The assessment of human rights and social justice in Bhutan reveals numerous challenges. Developmental disparities are stark, with significant resources directed towards the western districts, home to the ruling elites. This exacerbates the development lag in the southern, eastern, and central districts. Tourism mainly benefits the western areas, concentrating the majority of tourists there and leaving limited opportunities for other regions. Gender inequality persists, with women underrepresented in political and leadership positions. Girls continue to face harassment in public, molestation in schools, and violence at home, without targeted political interventions. Ethnic minorities, religious groups, and residents of remote regions remain marginalized. Despite internal discontent and international pressure leading to a nominal political transition from an absolute monarchy to a democratic constitutional monarchy, the underlying power dynamics have not significantly shifted. There is a trend towards increased authoritarianism, surveillance, and opacity. Citizens advocating for democratic rights remain imprisoned for over three decades, despite the rulers' nominal embrace of democracy. While democratic institutions have been established, the monarchy wields more influence than before through the secret police (De-Suung), election interventions via the interim government, curtailing elected governments' autonomy, and preventing the introduction of ‘royal annuity bills’ in parliament to regulate the royal budget. This strategy has created a systematic authoritarian regime, cloaked as a constitutional monarchy for over sixteen years. Civil society organizations exist, but their leadership, often from the royal family, limits their effectiveness in addressing ordinary citizens' needs. These issues highlight profound governance, development, and gender equality challenges in Bhutan.

Effectiveness of LOF, iForest and OCSVM in detecting anomalies in stream sediment geochemical data

This paper compares three unsupervised machine-learning algorithms – local outlier factor (LOF), Isolation Forest (iForest) and one-class support vector machine (OCSVM) – for anomaly detection in a multivariate geochemical dataset in northeastern Iran. This area contains several Au, Cu and Pb–Zn mineral occurrences. The methodology incorporates single-element geochemistry, multivariate data analysis and application of the three unsupervised machine-learning algorithms. Principal component analysis unveiled diverse elemental associations for the first seven principal components (PCs): PC1 shows a Co–Cr–Ni–V–Sn association indicating a lithological influence; PC2 shows a Au–Bi–Cu–W association suggesting epithermal Au mineralization; PC3 shows variability in Zn–V–Co–Sb–Cu–Cr; PC4 shows a Au–Cu–Ba–Sr–Ag association indicating Au and polymetallic mineralization; PC5 reflects Zn–Ag–Ni–Pb related to hydrothermal mineralization; and PC6 and PC7 show element associations suggesting epithermal and intrusive-related polymetallic mineralization. It was found that OCSVM performed slightly better than LOF and iForest in detecting anomalies associated with known Cu occurrences, and it successfully delineated dispersion from all known Au occurrences. LOF outperformed iForest and OCSVM in identifying all four Pb–Zn occurrences, and the three methods substantially limited the areas of the anomaly class. The analysis showed that LOF produced a less cluttered anomaly map compared to the isolated patterns in the iForest map. LOF was accurate in identifying anomalies associated with Au–Pb mineralization, while iForest detected anomalies associated with Pb–Zn–Cu occurrences and neighbouring Pb–Zn occurrence. OCSVM performed similarly in the northern and western areas but displayed unique discrepancies in the SE and west by detecting anomalies associated with two Cu occurences and a Pb–Cu occurrence. This study examined the influence of contamination fraction on detection of geochemical anomalies, revealing a noteworthy rise in the count of mineral occurrences delineated by anomalies when the contamination fraction increases from 5 to 10%. However, even with a 35% contamination fraction, some Cu occurrences remained outside the anomaly category, indicating potentially overlooked geochemical signals from mineral occurrences due to sampling schemes.

Spatial Distribution and Location Determinants of High-Tech Firms in Shenzhen, a Chinese National Innovative City

The development of high-tech firms is a vital driver for the economic growth of a city but their distribution and location determinants at the intra-urban level are still unclear. We aim to deepen the understanding of location determinants of high-tech firms, so we construct an analytical framework and use GeoDetector to investigate high-tech firms in Shenzhen based on firms and POI open data in 2023. We find that high-tech firms are distributed in a spatial pattern of ‘one core and six clusters’ with high density in the western area despite industrial heterogeneity. Agglomeration economies and amenity-based factors play a significant role in the distribution of high-tech firms. Institutional factors and classical locational factors have more significant effects on the location of high-tech service and manufacturing firms, respectively. This study contributes to the literature on study spatial units, the influence of amenities, and industrial specificities. These findings highlight public policies on industrial park planning, transportation systems, and public services.

Temporal and spatial characteristics of carbon emissions from cultivated land use and their influencing factors: A case study of the Yangtze River Delta region

This study focuses on the Yangtze River Delta region and employs spatial analysis and geographically and temporally weighted regression (GTWR) to explore the temporal and spatial characteristics of carbon emissions from cultivated land use and their influencing factors. The findings indicate that carbon emissions from cultivated land use in the Yangtze River Delta generally show a decreasing trend, but there has been a significant increase in Anhui Province, mainly due to government efforts to promote agricultural development. Additionally, the spatial distributions of carbon emissions from cultivated land use clearly differ in terms of proximity, with changing temporal and spatial patterns. (1) From 2005 to 2020, there were significant spatial differences in the carbon emission intensity from cultivated land use across the Yangtze River Delta. The emission intensities in the southern areas were generally higher than those in the northeastern and central regions, whereas the western areas presented lower emission intensities. (2) The carbon emission intensity from cultivated land use in the Yangtze River Delta exhibited significant spatial proximity, meaning that neighboring areas had similar emission intensities, presenting a continuous distribution pattern. Contiguous distributions were also observed in parts of northern Anhui, central Jiangsu, and southeastern Zhejiang. (3) The carbon emission intensity from cultivated land use in the Yangtze River Delta showed a trend of high-intensity reductions and low-intensity increases over time and space. The level of agricultural development, scale of farmland management, types of crops planted, income levels of rural residents, intensity of agricultural machinery input, and strength of agricultural financial support significantly impact carbon emissions from cultivated land use. The results provide important references and a theoretical basis for the management and regulation of agricultural carbon emissions in the Yangtze River Delta region.

Felt stigma and associated factors in children and adolescents with epilepsy: a multicenter cross-sectional study in China.

Epilepsy-related stigma is a global problem, yet there has been an inadequate focus on children and adolescents. The purpose of this study was to determine the status quo of stigma and its determinants among children and adolescents with epilepsy in China. A multicenter cross-sectional study was conducted across nine hospitals in eight cities within six provinces in China from 10 October 2023 to 15 June 2024. Participants included patients aged 8 to 18 years with epilepsy and their caregivers. Felt stigma was assessed with the Kilifi Stigma Scale for Epilepsy (KSSE). Social support and self-efficacy were collected through the Social Support Rating Scale (SSRS) and the Generalized Self-Efficacy Scale (GSES). The data were analyzed using t-tests, analysis of variance (ANOVA), Spearman correlation analysis, and multiple linear regression analysis. The study enrolled 281 children and adolescents, with a mean age of 12.25 years (SD = 2.56), including 46.6% females. A total of 35.6% participants had self-reported felt stigma. The mean KSSE score is 9.58 (SD = 7.11). Meanwhile, stigma scores correlated strongly with reduced social support (r = -0.55, p < 0.01) and self-efficacy (r = -0.43, p < 0.01). Place of residence (rural vs. non-rural), academic performance (average and above vs. fair or poor), region (western region vs. non-western region), duration of epilepsy (≤5 years vs. >5 years), drug-resistant epilepsy (yes vs. no), comorbidities (yes vs. no), social support and self-efficacy are major influencing factors among the complex factors influencing the felt stigma among children and adolescents. Medical staff should be more aware of stigma among children and adolescents with epilepsy, especially those who live in rural and western areas, have poor academic performance, have epilepsy duration of more than 5 years, have drug-resistant epilepsy, and have comorbidities, who are at higher risk of stigma. It is recommended that effective measures be taken to alleviate stigma by improving children and adolescents' self-efficacy and providing more social support for them and their families.

Study on the Evolution of Spatiotemporal Dynamics and Regional Differences in the Development of Digital Agriculture in China

In the current study, an index system for digital agriculture growth was constructed. The index encompasses six key dimensions, namely production, operation, service, management, sustainability, and digital information infrastructure. Data from 30 Chinese provinces between 2011 and 2020 were collected and analyzed using the entropy method, Moran index, Dagum’s Gini coefficient, and the kernel density estimate. An in-depth analysis of the development level and spatial patterns, dynamic evolution and intra- and inter-regional differences in China (i.e., eastern, western, and central regions) was conducted. From the result, an overall growing trend of digital agriculture in China was observed, with a relatively more advanced status in the eastern region. A positive spatial dependence, showing a “high-high” and “low-low” (HH, LL) trend, was obtained. However, the regional spatial dependence has generally weakened since 2019. The intra-regional differences were large in western and eastern areas, while the greatest inter-regional differences were unveiled between western and eastern regions. The country’s overall differences mainly stemmed from inter-regional differences. The overall kernel density curves moved to the right over time, showing a trend of a gradual rise in digital agricultural growth, accompanied by a polarization pattern in the western region.

Desertification in northern China from 2000 to 2020: The spatial–temporal processes and driving mechanisms

Desertification is one of the most significant environmental and social challenges globally. Monitoring desertification dynamics and quantitatively identifying the contributions of its driving factors are crucial for land restoration and sustainable development. This study develops a standardized methodological framework that combines desertification dynamics with driving mechanisms at the pixel level, applied to northern China from 2000 to 2020. Using multisource data and employing the Time Series Segmentation and Residual Trend analysis (TSS-RESTREND) method alongside geographical detector, we quantitatively assessed desertification reversion, expansion, and abrupt change processes, along with the impacts and interactions of natural and human factors were quantitatively assessed. Over the past two decades, the proportion of desertified land decreased by 5.60%. Notably, 32.88% of the study area experienced significant desertification reversion, while only 5.86% underwent expansion. Abrupt changes in both reversed and expanding areas were observed, primarily in the central and western regions, with these changes concentrated in the periods of 2009–2011 and 2014–2016. The impacts of various factors in different sub-regions exhibited significant spatial heterogeneity. Increased precipitation, temperature, and evapotranspiration contributed to reversion in the western area, while decreased wind speed influenced the eastern area. Additionally, decreased population density and afforestation activities also promoted desertification reversion. In contrast, decreased precipitation and increased temperature contributed to expansion in the western and eastern areas, respectively, with increased population density exacerbating this process. Overall, the interactions between natural and human factors were enhanced. Future desertification control and ecological engineering planning should focus on the coupling effects of different driving factors and relevant abrupt vegetation changes.

Big data development and agricultural carbon emissions: Exacerbation or suppression? A quasi-natural experiment based on the establishment of the National Big Data Comprehensive Pilot Zone

As a strategic resource, big data has become a key force affecting carbon emission reduction in agriculture. However, its impacts remain controversial, and relevant empirical evidence remains to be explored. Based on quasi-natural experimental analysis, this study explored the impact and mechanism of the construction of the National Big Data Comprehensive Pilot Zone (NBDCPZ) on agricultural carbon emissions (ACE) in China and adopted a difference-in-difference (DID) model using China's provincial panel data from 2003 to 2020. The results showed that the ACE in the NBDCPZ establishment area was significantly reduced by 11.91%, a finding that remained robust following the parallel trend test and the placebo test, among others. Mechanism analysis showed that the ACE was reduced through industrial upgrading and technological innovation. Heterogeneity analysis showed that more pronounced policy gains were achieved in China's central-eastern regions as well as in non-major grain-producing areas compared to western and major grain-producing areas. This research provided supporting evidence for the prospect of big data application in ACE and provided useful guidance regarding the promotion of green and sustainable agricultural development.

Modelling Climate Effects on Site Productivity and Developing Site Index Conversion Equations for Jack Pine and Trembling Aspen Mixed Stands

Forest site productivity estimates are crucial for making informed forest resource management decisions. These estimates are valuable both for the tree species currently growing in the stands and for those being considered for future stands. Current models are generally designed for pure stands and do not account for the influence of climate on tree growth. Consequently, site index (SI) conversion equations were developed specifically for jack pine (Pinus banksiana Lamb.) and trembling aspen (Populus tremuloides Michx.) trees grown in naturally originated mixed stands. This work involved sampling 186 trees (93 of each species) from 31 even-aged mixed stands (3 trees per species per site) across Ontario, Canada. Stem analysis data from these trees were utilized to develop stand height growth models by incorporating climate variables for each species. The models were developed using a mixed effects modelling approach. The SI of one species was correlated with that of the other species and climate variables to establish SI conversion equations. The effect of climate on site productivity was evaluated by projecting stand heights at four geographic locations (east, center, west, and far west) in Ontario from 2022 to 2100 using the derived stand height growth models. Height projections were made under three emissions scenarios reflecting varying levels of radiative forcing by the end of the century (2.6, 4.5, and 8.5 watts m−2). Climate effects were observed to vary across different regions, with the least and most pronounced effects noted in the central and far western areas, respectively, for jack pine, while effects were relatively similar across all locations for trembling aspen. Stand heights and SIs of jack pine and trembling aspen trees grown in naturally originated mixed stands can be estimated using the height growth models developed here. Similarly, SI conversion equations enable the estimation of the SI for one species based on the SI of another species and environmental variables.

Differential treatment by citizenship within European criminal justice systems

ABSTRACT The study examines differential treatment in criminal justice systems based on citizenship status. Unlike prior research which has primarily been conducted in the United States, this study focuses on a sample of 11 European countries. The results show that between 2009 and 2018, there was an increase in non-citizen justice-involved persons (suspects, offenders, and prisoners) from foreign countries, compared to a decrease in justice-involved persons who were citizens. Similar results are found when examining European countries categorized by geoeconomic region (Eastern vs. Western areas), although the differences are more pronounced for Eastern countries. The results show that there are statistically significant differences by citizenship in the way these individuals are treated by the criminal justice system. These findings suggest the possibility that citizenship influences decision-making at multiple stages of criminal justice processing. To address this social issue, the results of this study suggest some strategies for policy makers.

Trend analysis of long-time series habitat quality in Beijing based on multiple models

This study selects Beijing from 1980 to 2020 as the research area, utilizing high temporal resolution land use data to analyze through the habitat quality module of the InVEST model. Unlike previous research, this study employs the Theil-Sen Median method and Mann-Kendall test to analyze the trend changes in habitat quality more accurately. This method has significant advantages in dealing with non-linear and non-normally distributed data over long time series, providing a more accurate and reliable analysis of habitat quality trends. Methodologically, the study first collects and organizes the land use type data of Beijing from 1980 to 2020, then uses the habitat quality module of the InVEST model to process and analyze the data of each year, assessing the impact of different land use types on habitat quality. Subsequently, the Theil-Sen Median method and Mann-Kendall test are used to analyze the time series trend of habitat quality, to identify and quantify the trend and significance of habitat quality changes. The results show that over the past 40 years, the area of construction land in Beijing has significantly expanded, leading to a compression of other types of land. The spatial distribution of habitat quality shows a clear difference between the two sides divided by a line connecting the northeast and southwest, with the west side being the area of good habitat quality and the east side being poorer. In the past 10 years, the overall habitat quality has improved, but most areas still show a decreasing trend, especially in the western and northern mountainous areas where habitat quality has significantly declined. Based on these findings, it is recommended that future urban planning and land management should pay more attention to the protection and improvement of habitat quality, especially the restoration work for areas with poor habitat quality.

Study on the Evaluation of Technological Innovation Efficiency of Industrial Enterprises in Central and Western China: Based on DEA approach

Based on the importance of industrial innovation efficiency, this paper conducts dynamic and static analyses of the technological innovation efficiency of industrial enterprises in the central and western areas of China from years 2010 to 2021 using the DEA-BCC model and Malmquist index based on relevant data. The results indicate that the efficiency of technological innovation in China has steadily increased, with the innovation efficiency in the central and western areas stabilizing at a relatively high level. Additionally, the study identifies that the prosperity of local industries significantly influences industrial scientific and technological innovation efficiency. Consequently, the article provides more specific recommendations for formulating industrial policies that impact industrial prosperity.

Study on Interprovincial Equity and the Decoupling of Carbon Emissions in the Construction Industry—A Case Study in China

Interprovincial disparities in carbon emissions from the construction industry (CECI) are an important challenge for future emissions reductions. Based on the CECI data of 30 provinces in China from 2010 to 2020, the interprovincial equity and decoupling of CECI were examined in this study. The conclusions are as follows: (1): The main CECI growth regions were the eastern Bohai Rim region and the Pearl River Delta region. Heilongjiang basically achieved a CECI carbon peak in 2016. (2) The three northeastern provinces and western provinces were the main high–high and low–low aggregation areas, respectively. The greatest degree of inequality was found in the western provinces. The inequality between the eastern and western areas was the largest, while the inequality between the central and western areas was the smallest. The inequality in CECI in the north–south region decreased year by year. (3) The decoupling status of Shandong and some western provinces has significantly worsened, while the decoupling status of Sichuan, Yunnan, and some eastern developed provinces has been improving. These conclusions will contribute to the improvement of regional emission reduction strategies.

Spatiotemporal variability of lake surface water temperature and water quality parameters and its interrelationship with water hyacinth biomass in Lake Tana, Ethiopia.

Urbanization, agriculture, and climate change affect water quality and water hyacinth growth in lakes. This study examines the spatiotemporal variability of lake surface water temperature, turbidity, and chlorophyll-a (Chl-a) and their association with water hyacinth biomass in Lake Tana. MODIS Land/ Lake surface water temperature (LSWT), Sentinel 2 MSI Imagery, and in-situ water quality data were used. Validation results revealed strong positive correlations between MODIS LSWT and on-site measured water temperature (R = 0.90), in-situ turbidity and normalized difference turbidity index (NDTI) (R = 0.92), and in-situ Chl-a and normalized difference chlorophyll index (NDCI) (R = 0.84). LSWT trends varied across the lake, with increasing trends in the northeastern, northwestern, and southwestern regions and decreasing trends in the western, southern, and central areas (2001-2022). The spatial average LSWT trend decreased significantly in pre-rainy (0.01 ℃/year), rainy (0.02 ℃/year), and post-rainy seasons (0.01℃/year) but increased non-significantly in the dry season (0.00 ℃/year) (2001-2022, P < 0.05). Spatial average turbidity decreased significantly in all seasons, except in the pre-rainy season (2016-2022). Likewise, spatial average Chl-a decreased significantly in pre-rainy and rainy seasons, whereas it showed a non-significant increasing trend in the dry and post-rainy seasons (2016-2022). Water hyacinth biomass was positively correlated with LSWT (R = 0.18) but negatively with turbidity (R = -0.33) and Chl-a (R = -0.35). High spatiotemporal variability was observed in LSWT, turbidity, and Chl-a, along with overall decreasing trends. The findings suggest integrated management strategies to balance water hyacinth eradication and its role in water purification. The results will be vital in decision support systems and preparing strategic plans for sustainable water resource management, environmental protection, and pollution prevention.

Uncovering the Triple Synergy of New-Type Urbanization, Greening and Digitalization in China

The in-depth discussion and analysis of the synergistic effect of new-type urbanization, greening and digitalization (NUGD) is important for the achievement of sustainable social, ecological and economic development. Therefore, in this study, an evaluation index system composed of these three subsystems was constructed for Chinese cities from 2011 to 2021. The comprehensive and collaborative development levels of each subsystem were measured by means including the entropy weight method and the coupling coordination model, respectively. Then, methods such as ESDA and the Dagum Gini coefficient were applied to investigate the spatiotemporal evolution and spatial differences in the triple synergy effect of the NUGD system in Chinese cities. Finally, the constraining factors of the triple synergy effect were revealed using the obstacle degree model. The findings demonstrated the following: (1) Overall, the NUGD subsystems and their comprehensive levels were increasing, with moderate overall development levels. (2) The synergistic development of the NUGD system exhibited an upward trend. Spatially, the synergistic development level showed distinct differentiation, being higher in the east and lower in the west. The multidimensional dynamic variation characteristics obtained through kernel density estimation revealed that the triple synergy level exhibits high stability. (3) The differences within the east and between the eastern and western areas were the largest, with the intensity of transvariation as the main source. (4) The five criterion layers, including social and spatial urbanization variables, were the key constraints that affected the triple synergy of the NUGD in Chinese cities, and the restrictive role of factors such as the proportion of urban construction land and the per capita postal business volume should not be ignored. This study provides a valuable reference and decision-making guidance to promote China’s acceleration toward a new urbanization path supported by both digitalization and green transformation.

Spatio-temporal Evolution and Driving Factors of Ecological Environment Quality in the Huaihe River Basin Based on RSEI

Clarifying the spatio-temporal evolution of the ecological environment quality of a watershed and its response to the natural environment and human factors are crucial for policy implementation in the ecological environment of the watershed. Using the Google earth engine（GEE） to establish a remote sensing ecological index （RSEI）, the spatio-temporal changes in the ecological environment quality of the Huaihe River Basin from 2002 to 2022 were evaluated combined with trend analysis, variation coefficient, and Hurst index. The main driving factors of spatial differentiation of RSEI were explored using the geographic detector. The results showed that： ① In the past 21 years, RSEI of the Huaihe River Basin had generally improved, but it showed a gradual upward-downward trend. Overall, the area of poor and less poor grades decreased, the area of medium grades increased, and the area of good and excellent grades increased. The improved area accounted for 55.93%, and the degraded area accounted for 22.01%. ② In terms of spatial distribution, RSEI gradually deteriorated from east to west （except in the northwest and southwest marginal mountainous areas）. The stability was better in the east and worse in the western and central areas. In the future, the ecological quality change in the basin was prone to be anti-sustainable and mainly improved. ③ Factor detection results showed that the spatial differentiation of RSEI in the basin was mainly driven by vegetation factors, followed by altitude. The interaction between two factors enhanced the driving force for RSEI spatial differentiation, in which the interaction between vegetation factor and elevation had the strongest driving force for RSEI spatial differentiation, reaching 86.3%.

Representations of mental presence in three mental powers, a vision in Hazem Al-Qartajani’s view

The present study attempts to pinpoint the strategies which are followed by the males of Anbar rural dwellers in complimenting. For the purpose of this study, thirty males from the western rural areas (they are mainly agrarian workers and workers in the building sector) are chosen randomly. The compliments are studied with reference to their definition, how to compliment, the purpose of the compliment and the main strategies used by those rural dwellers of Anbar Western area. The data for this study are collected via a questionnaire which is designed for this purpose. The results which are obtained from the questionnaire showed that the majority of people under investigation prefer compliments of skills (probably because they are skilled workers and they like their jobs), appearance, possession and behavior. The results are discussed analyzed and compared according to a yardstick prepared by (Chen:1993). The findings of the study revealed that the majority of the rural dwellers resorted to the use of agreeing strategy and the use of extra explanation and prayers while complimenting. The final goal of complimenting is to achieve modesty and to maintain good will via soft words such as /ɘju:ni/ (my eyes) or /aỊa:h jxǝli:k/ (may Allah save you) .

Source apportionment and formation of warm season ozone pollution in Chengdu based on CMAQ-ISAM

In this study, the WRF-CMAQ model integrated with BEM urban canopy model was used to simulate the concentrations of Ozone (O3) and its precursors, NOx and VOCs, in warm season of Chengdu, conduct source apportionment and formation analysis. The results show that the O3 in Chengdu exhibits a west-high/east-low spatial pattern, attributable to nearly 40% contribution from boundary sources representing the transport role of the Sichuan Basin, regional sources from districts emitting high precursor concentrations, and increasing biogenic contributions from western areas due to rising BVOCs emissions during the warm season. NOx from traffic and VOCs from industrial sources, both prevalent in Chengdu's high urban density areas, chemically react to form O3, making these sectors primary contributors to O3. NOx photochemical reactions producing O3 occur at 150 m–2500 m with peak generation rates of 10 μg/(m3·hr). Ground-level NO titration removal is most significant during heavy traffic (14:00–21:00), ranging from −70 to −200 μg/(m3·hr). O3 is replenished through similar rates of daytime vertical diffusion and nighttime horizontal advection, correlating with urban density across regions. Controlling Chengdu's warm season O3 requires focusing on long-distance external transport and regional precursor emission reductions, with strategies tailored to local urban characteristics.