Influence Factors of Urban Sustainable Development of Xinjiang Uyghur Autonomous Region——with a Case of Urumqi

Urban sustainable development is under influence of social, economic and environmental factors. Xinjiang is in a new cross-domain development stage, and the research on urban sustainable development in Xinjiang wil be an important contribu-tion to sustainable development in western China. In this paper, with the district of Urumqi city as the study area, environmental indicators in 2011 economic society were col ected to establish an index system of factors affecting the sustainable de-velopment, and to make analysis and comprehensive evaluation on the influence factors, proposing suggestions and countermeasures of sustainable development in districts or counties in Urumqi County as per quantitative and qualitative analysis methods.

Snowmelt modeling using two melt-rate models in the Urumqi River watershed, Xinjiang Uyghur Autonomous Region, China

In this paper,the performance of the classic snowmelt runoff model(SRM)is evaluated in a daily discharge simulation with two different melt models,the empirical temperature-index melt model and the energy-based radiation melt model,through a case study from the data-sparse mountainous watershed of the Urumqi River basin in Xinjiang Uyghur Autonomous Region of China.The classic SRM,which uses the empirical temperature-index method,and a radiation-based SRM,incorporating shortwave solar radiation and snow albedo,were developed to simulate daily runoff for the spring and summer snowmelt seasons from 2005 to 2012,respectively.Daily meteorological and hydrological data were collected from three stations located in the watershed.Snow cover area(SCA)was extracted from satellite images.Solar radiation inputs were estimated based on a digital elevation model(DEM).The results showed that the overall accuracy of the classic SRM and radiation-based SRM for simulating snowmeltdischarge was relatively high.The classic SRM outperformed the radiation-based SRM due to the robust performance of the temperature-index model in the watershed snowmelt computation.No significant improvement was achieved by employing solar radiation and snow albedo in the snowmelt runoff simulation due to the inclusion of solar radiation as a temperature-dependent energy source and the local pattern of snowmelt behavior throughout the melting season.Our results suggest that the classic SRM simulates daily runoff with favorable accuracy and that the performance of the radiation-based SRM needs to be further improved by more ground-measured data for snowmelt energy input.

Characteristics of the Mesozoic and Cenozoic Tectonic Stress Fields of the Urumqi-Usu Region, Xinjiang

Based on the study of folds and related conjugate shear joints, the tectonic stress fields of the Urumqi-Usu region to the north of the North Tianshan Mountains have been reconstructed. Furthermore the author discussed the tectonic movements and their dynamic features. The early tectonic movement in the investigated region occurred from the end of the Late Jurassic to the initial stage of the Early Cretaceous, with the maximum (tensile) and minimum (compressional) principal stress trajectories in the tectonic stress field being in E-W and S-N directions respectively; the late tectogenesis took place from the end of the Early Pleistocene to the initial Middle Pleistocene, with the maximum and minimum principal stress trajectories in the late stress field striking in WNW and NE-NNE directions respectively. Through computer-aided simulated calculation by the finite element method and analysis of geological structure, it has been ascertained that the early tectogenesis is a nearly N-S compressive movement and the late one a NE to nearly N-S compressive movement with reverse shear. The dynamic force which caused the tectogeneses came from the movement of the southern major fault, i.e. the North Tianshan Mountains.

Analysis and prediction of glacier evolution trend(2020-2100)in Northern Xinjiang

Glaciers,as“solid reservoirs”,are precious resources in arid areas.The study of glaciers is of great significance to the sustainable development and management of agriculture and the economy in northern Xinjiang.The area of glacier distribution on the 1963 topographic map data,1975 MSS data,2000 ETM data,2008 CBERS-2 data,2014 and 2018 ETM+were collected as secondary data.According to the remote sensing survey,the glacier areas in Northern Xinjiang are identified during 1963-2018.Based on the evolution of glacier area in the past 55 years,and using two scenarios,the average annual decrease area of a region during the whole 1963-2018 and the period with the minimum reduction area,the glacier areas of Southern Tianshan Mountains,Western Tianshan Mountains,Eastern Tianshan Mountains,the Sawuer Mountains and Altai Mountains in Northern Xinjiang,and the whole northern Xinjiang in 2030,2040,2050,and 2100 are examined and predicted.In 2100,the glacier area in Northern Xinjiang may decrease by 43%-59%.

Research progress of local characteristic drugs for treatment of rheumatoid arthritis in Xinjiang

Rheumatoid arthritis(RA)is a systemic autoimmune disease characterized by synovitis.This disease tends to recur,persist,and is difficult to cure.The pathogenesis of RA is complex.Currently,the commonly used treatments for RA—non-steroidal anti-inflammatory drugs(NSAIDs),disease-modifying anti-rheumatic drugs(DMARDs),glucocorticoids,and immunosuppressants—have notable side effects with long-term use and may be ineffective for some patients.Therefore,it is crucial to find drugs with limited side effects and significant curative effects.Xinjiang's local characteristic drugs have a long history,abundant resources,and are known for their safety and effectiveness in treating RA.In recent years,many studies have reported on the mechanisms of action and therapeutic effects of Xinjiang's local characteristic drugs on RA.This article reviews the pathogenesis of RA,as well as the research progress and treatment characteristics of Xinjiang-featured drugs.

LA-ICP-MS zircon U-Pb dating of tuffites in the Sachakou Pb-Zn mining area, Karakorum, Xinjiang and its establishment of Early Triassic strata

1.Objective In the past decade,a group of medium to giant lead-zinc deposits,represented by Huoshaoyun,Sachakou,and Yuanbaoling,have been discovered in the Aksai Chin region of Karakoram,Xinjiang.They are all located in the Mesozoic carbonate and clastic rock formations.The Sachakou leadzinc mining area is adjacent to the northwest of the Huoshaoyun lead-zinc mining area and is in the same stratigraphic layer as Huoshaoyun.Although many scholars have been arguing about the type and age of Huoshaoyun lead-zinc mineralization,few scholars have paid attention to the classification of the ore-bearing strata in the area.The stratigraphy of the Lower Permian Shenxianwan Group to the Upper Cretaceous Tielongtan Group is exposed in the Sachakou area of Karakorum,Xinjiang,however,the Late Permian-Early Triassic stratigraphy is missing(Fig.1a).Due to the harsh natural conditions in the area and the low level of work,the stratigraphic delineation is not exhaustive,and the regional lithology is dominated by carbonates and clastic rocks,which makes it difficult to identify the age of the regional lithology and causes problems for the exploration and research of lead-zinc in the area.

A new small baurioid therocephalian from the Lower Triassic Jiucaiyuan Formation, Xinjiang, China

Several therocephalian species,mainly represented by cranial material from the late Permian,have been reported from China in recent years.Here we describe a tiny new baurioid therocephalian,Jiucaiyuangnathus confusus gen.et sp.nov.,from the Jiucaiyuan Formation,Xinjiang,China.The new taxon is represented by a partial snout with occluded partial lower jaw and two postcranial skeletons.Although juvenile in stage,the new species is diagnosed by the following features:round pit in middle of lateral surface of maxilla;lacrimal contact nasal;fossa for dentary tooth on the posterior end of the premaxilla,lateral to the anterior choana;two small vertical triangular ridges extending dorsally and ventrally on the vomerine anterior portion,and bordering a thin vomerine foramen laterally;anterior projection of the lateral part of the frontal on the nasal;symphyseal region of the dentary projected anteriorly;5 upper premaxillary teeth,upper and lower canines absent,diastema between the last premaxillary upper incisor and first maxillary tooth present,no diastema separating anterior from posterior dentition in the mandible,10 maxillary teeth and 12 dentary teeth,posterior postcanine expands mesiodistally,having a main large cusps and tiny anterior and posterior accessory cusps in line;neural arches of the atlas fused by the neural spine,neural spine of the axis projected posteriorly,procoracoid foramen lies between procoracoid and scapula.Features of the dentition resembles those of the small baurioid Ericiolacerta parva from South Africa and Silphedosuchus orenburgensis from Russia.The specimens provide the rare opportunity to know in detail the postcranial skeleton of baurioids.

Estimation of Potential Habitat of Caragana acanthophylla in Xinjiang Based on Maximum Entropy Model

[Objectives]To determine the potential habitat range of Caragana acanthophylla in Xinjiang.[Methods]The known distribution points of C.acanthophylla were used as samples,and a MaxEnt model was developed based on their climatic variables to identify key environmental factors affecting the potential habitats of C.acanthophylla through jackknife method and construction of a response relationship between representative variables and habitat suitability;the suitability of habitats for C.acanthophylla in Xinjiang was evaluated based on the output results of the model.[Results](i)The accuracy of the model verified by AUC curve was 0.971,indicating that the potential habitats of C.acanthophylla in Xinjiang predicted by MaxEnt model were highly credible.(ii)The optimum climatic characteristics for the distribution of C.acanthophylla in Xinjiang were:isothermality 18.8%-34%,minimum temperature of coldest month-30℃to-13℃,mean temperature of coldest quarter-18℃ to-4℃,annual precipitation 80-410 mm,precipitation of driest month 0-25 mm,precipitation of driest quarter 0-82 mm,and precipitation of coldest quarter 0-75 mm.(iii)The total potential distribution area of C.acanthophylla in Xinjiang was modeled to be 1.03×10^(5) km^(2),of which 8.54×10^(3)km^(2) was high suitability area,mainly in the front mountain belt of the north slope of Tianshan Mountain in Urumqi City,Changji Hui Autonomous Prefecture,Bortala Mongol Autonomous Prefecture,and Yili Kazak Autonomous Prefecture and the front mountain belt of Barluk Mountain in Tacheng Prefecture.[Conclusions]This study is of great significance for the future scientific management,regeneration,vegetation restoration and ecological protection of C.acanthophylla.

From Poverty to Prosperity How relocation to Aktas Town is a living-standards leap for Xinjiang people

"3,000 yuan per month,"proclaimed Abdulaziz Mehmet,a Uygur worker at Dena Shoes Factory in Kargilik County of Xinjiang Uygur Autonomous Region.Why is it noteworthy?Bangkok's minimum wage in 2024 is US$327.65,while Jakarta is US$332.92.Mehmet is earning significantly more than what he would getin either of the national capitals.

Lighting Up Lives The rise of renewable energy in Hami, Xinjiang

Any time of the year,Hami,a city in northwest China's Xinjiang Uygur Autonomous Region,is memorable for its unique food and stunning landscapes set against the majestic Tianshan Mountains.However,September's significant temperature drops once the sharp rays of sunset beneath the Gobi Desert make Hami an even more fascinating seasonal destination.The renowned sun-drenched scenery is ideal for renewable energy projects such as wind,solar,and hydrogen power.The region also hosts one of China's two supercomputers,which requires significant energy.

Path to Green Growth——The Xinjiang example

A key part of achieving high-quality development is promoting the greening and decarbonization of economic and social development.Opinions on Accelerating the Comprehensive Green Transformation of Economic and Social Development,jointly issued by the Central Committee of the Communist Party of China and the State Council in August,provided a roadmap for China's green transformation.As a major energy base in western China,Xinjiang Uygur Autonomous Region leads the nation in installed capacity of both fossil energy like coal,oil,and natural gas and renewable energy like wind and solar.In recent years,leveraging its resource endowment and industrial foundation,Xinjiang has been enhancing efforts to transform traditional high energy-consuming industries into energy-saving and low-carbon industries and vigorously develop wind,solar,and hydrogen energy,as well as cloud computing.Its achievements in these areas have provided a blueprint that can be followed by any region pursuing green industrial transformation and high-quality development This September,China Report ASEAN journalists flew to Xinjiang and conducted interview and investigations in the regional capital Urumqi,the oil city of Karamay,and Hami,dubbed Xinjiang's"eastern gateway,"to shed light on how the autonomous region seeks to foster economic growth while ensuring environmental sustainability.

Empowering Xinjiang

EARLY in the morning,Hankiz Ablimit leaves her home in Aksu Prefecture,southern Xinjiang,takes a train to Urumqi,capital of China’s Xinjiang Uygur Autonomous Region,and then transfers to another train bound for her final destination,Bole in northwestern Xinjiang.The journey takes one day and one night to complete.Bole,capital city of Bortala Mongolian Autonomous Prefecture,houses the prefecture’s only formal institution of higher learning-Bortala Polytechnic.Hankiz studies in this university,with 10 colleges.Most of the teachers working here come from Hubei Province in central China.

TUNING INTO UYGUR TRADITION Xinjiang Muqam melodies resonate through the corridors of time

As dawn breaks over the ancient Silk Road lands of China’s Xinjiang Uygur Autonomous Region,Dilixiati Parhati is gearing up for yet another busy day.He juggles multiple roles:musician,scholar,leader of a Muqam art troupe and,most recently,a voice in China’s National People’s Congress(NPC)-the country’s top legislature.In all these roles,safeguarding the soul-stirring music of Uygur Muqam,often dubbed“the mother of Uygur music,”for future generations is his mission.

Chasing Snowflakes to See Xinjiang

The great beauty of Xinjiang is presented in ice and snow.Xinjiang's winter scenery and ice and snow landscapeare spectacular,with itsuniquenatural environment having nurtured an extraordinary ice and snow culture.Nowadays,Xinjiang attracts many tourists from home and abroad to enjoy and experience the charm of ice and snow every winter.From December7 to 13,2023,"Nihao!China"-2024China lce&Snow TourismOverseas Promotion Season launched"Xinjiang Overseas Promotion Ice and Snow Season in Bosten Lake,Bohu County,Xinjiang Week".

Embracing Ethnic Harmony In Xinjiang

"All ethnic groups remain closely united like the seeds of a pomegranate that stick together,"goes a saying that deeply resonated with me as an Indonesian when I first heard it in China's Xinjiang Uygur Autonomous Region.The analogy was cemented even deeper in my brain when I learned that Xinjiang is known as a"Homeland of Pomegranates."

Spatiotemporal variation of land surface temperature and its driving factors in Xinjiang,China

Land surface temperature(LST) directly affects the energy balance of terrestrial surface systems and impacts regional resources, ecosystem evolution, and ecosystem structures. Xinjiang Uygur Autonomous Region is located at the arid Northwest China and is extremely sensitive to climate change. There is an urgent need to understand the distribution patterns of LST in this area and quantitatively measure the nature and intensity of the impacts of the major driving factors from a spatial perspective, as well as elucidate the formation mechanisms. In this study, we used the MOD11C3 LST product developed on the basis of Moderate Resolution Imaging Spectroradiometer(MODIS) to conduct regression analysis and determine the spatiotemporal variation and differentiation pattern of LST in Xinjiang from 2000 to 2020. We analyzed the driving mechanisms of spatial heterogeneity of LST in Xinjiang and the six geomorphic zones(the Altay Mountains, Junggar Basin, Tianshan Mountains, Tarim Basin, Turpan-Hami(Tuha) Basin, and Pakakuna Mountain Group) using geographical detector(Geodetector) and geographically weighted regression(GWR) models. The warming rate of LST in Xinjiang during the study period was 0.24℃/10a, and the spatial distribution pattern of LST had obvious topographic imprints, with 87.20% of the warming zone located in the Gobi desert and areas with frequent human activities, and the cooling zone mainly located in the mountainous areas. The seasonal LST in Xinjiang was at a cooling rate of 0.09℃/10a in autumn, and showed a warming trend in other seasons. Digital elevation model(DEM), latitude, wind speed, precipitation, normalized difference vegetation index(NDVI), and sunshine duration in the single-factor and interactive detections were the key factors driving the LST changes. The direction and intensity of each major driving factor on the spatial variations of LST in the study area were heterogeneous. The negative feedback effect of DEM on the spatial differentiation of LST was the strongest. Lower latitudes, lower vegetation coverage, lower levels of precipitation, and longer sunshine duration increased LST. Unused land was the main heat source landscape, water body was the most important heat sink landscape, grassland and forest land were the land use and land cover(LULC) types with the most prominent heat sink effect, and there were significant differences in different geomorphic zones due to the influences of their vegetation types, climatic conditions, soil types, and human activities. The findings will help to facilitate sustainable climate change management, analyze local climate and environmental patterns, and improve land management strategies in Xinjiang and other arid areas.

Active faults and seismogenic models for the Urumqi city,Xinjiang Autonomous Region, China

We have studied the characteristics of the active faults and seismicity in the vicinity of Urumqi city, the capital of Xinjiang Autonomous Region, China, and have proposed a seismogenic model for the assessment of earthquake hazard in this area. Our work is based on an integrated analysis of data from investigations of active faults at the surface, deep seismic reflection soundings, seismic profiles from petroleum exploration, observations of temporal seismic stations, and the precise location of small earthquakes. We have made a comparative study of typical seismogenic structures in the frontal area of the North Tianshan Mountains, where Urumqi city is situated, and have revealed the primary features of the thrust-fold- nappe structure there. We suggest that Urumqi city is comprised two zones of seismotectonics which are inter- preted as thrust-nappe structures. The first is the thrust nappe of the North Tianshan Mountains in the west, con- sisting of the lower （root） thrust fault, middle detachment, and upper fold-uplift at the front. Faults active in the Pleistocene are present in the lower and upper parts of this structure, and the detachment in the middle spreads toward the north. In the future, M7 earthquakes may occur at the root thrust fault, while the seismic risk of frontal fold-uplift at the front will not exceed M6.5. The second structure is the western flank of the arc-like Bogda nappe in the east, which is also comprised a root thrust fault, middle detachment, and upper fold-uplift at the front, of which the nappe stretches toward the north; several active faults are also developed in it. The fault active in the Holocene is called the South Fukang fault. It is not in the urban area of Urumqi city. The other three faults are located in the urban area and were active in the late Pleistocene. In these cases, this section of the nappe structure near the city has an earthquake risk of M6.5-7, An earthquake Ms6.6, 60 km east to Urumqi city occurred along the structure in 1965.

Exploration on Ideological and Political Construction of Higher Vocational English Course in Southern Xinjiang from the Perspective of "Cultural Confidence"

At present,the lack of Chinese culture in higher vocational English teaching in southern Xinjiang is serious.The existing English curriculum system is not enough to support the goal of cultivating ethnic minority college students cultural confidence,and its curriculum ideological and political construction is still in the initial stage of exploration.The combination of the Chinese national culture and the ethnic culture of Xinjiang and the ideological and political elements organically integrated into cultural confidence have endowed the vocational English education in Xinjiang with the characteristics of the times.In this paper,from the perspective of China s"cultural confidence",ideological and political elements were explored,and the background of ideological and political construction in higher vocational English teaching course in southern Xinjiang was analyzed;it is expounded that the ideological and political construction is an inevitable requirement for the high-quality development of vocational English education in southern Xinjiang,and the content design and implementation path of higher vocational English course was explored to provide new ideas and new ways for the curriculum ideological and political construction of higher vocational English teaching in southern Xinjiang.

Spatiotemporal variation of surface albedo and its influencing factors in northern Xinjiang, China

Surface albedo is a quantitative indicator for land surface processes and climate modeling,and plays an important role in surface radiation balance and climate change.In this study,by means of the MCD43A3 surface albedo product developed on the basis of Moderate Resolution Imaging Spectroradiometer(MODIS),we analyzed the spatiotemporal variation,persistence status,land cover type differences,and annual and seasonal differences of surface albedo,as well as the relationship between surface albedo and various influencing factors(including Normalized Difference Snow Index(NDSI),precipitation,Normalized Difference Vegetation Index(NDVI),land surface temperature,soil moisture,air temperature,and digital elevation model(DEM))in the north of Xinjiang Uygur Autonomous Region(northern Xinjiang)of Northwest China from 2010 to 2020 based on the unary linear regression,Hurst index,and Pearson's correlation coefficient analyses.Combined with the random forest(RF)model and geographical detector(Geodetector),the importance of the above-mentioned influencing factors as well as their interactions on surface albedo were quantitatively evaluated.The results showed that the seasonal average surface albedo in northern Xinjiang was the highest in winter and the lowest in summer.The annual average surface albedo from 2010 to 2020 was high in the west and north and low in the east and south,showing a weak decreasing trend and a small and stable overall variation.Land cover types had a significant impact on the variation of surface albedo.The annual average surface albedo in most regions of northern Xinjiang was positively correlated with NDSI and precipitation,and negatively correlated with NDVI,land surface temperature,soil moisture,and air temperature.In addition,the correlations between surface albedo and various influencing factors showed significant differences for different land cover types and in different seasons.To be specific,NDSI had the largest influence on surface albedo,followed by precipitation,land surface temperature,and soil moisture;whereas NDVI,air temperature,and DEM showed relatively weak influences.However,the interactions of any two influencing factors on surface albedo were enhanced,especially the interaction of air temperature and DEM.NDVI showed a nonlinear enhancement of influence on surface albedo when interacted with land surface temperature or precipitation,with an explanatory power greater than 92.00%.This study has a guiding significance in correctly understanding the land-atmosphere interactions in northern Xinjiang and improving the regional land-surface process simulation and climate prediction.

Research on Identification Method of Apple Diseases in Southern Xinjiang Based on Deep Learning and Its System Implementation

Apple disease samples were collected from the southern Xinjiang and annotated to design a convolutional neural network model based on deep learning.The accuracy and robustness of the model was improved through training and optimization algorithms,and a complete apple disease identification system was developed with the model as the core,and evaluated for its performance in terms of accuracy,recall rate and speed.This study provides a reliable AI-based apple disease diagnosis solution for the apple planting industry in the southern Xinjiang,hoping to help farmers better manage and protect crop health.