Case Study In Xinjiang Research Articles

Water–Ecological Health Assessment Considering Water Supply–Demand Balance and Water Supply Security: A Case Study in Xinjiang

Water scarcity and ecological degradation in arid zones present significant challenges to regional ecological health. Despite this, integrating the water supply–demand balance and water supply security (SEC) into ecological health assessments—particularly through composite indicators—remains underexplored in arid regions. In this study, we assessed the ecological health changes in Xinjiang by utilizing multivariate remote sensing data, focusing on the balance between water supply and demand, the degree of SEC, and ecosystem resilience (ER). Our results indicate that while water supply and demand remained relatively stable in northern Xinjiang between 2000 and 2020, the conflict between supply and demand intensified in the southern and eastern agricultural regions. SEC evaluations revealed that 73.3% of the region experienced varying degrees of decline over the 20-year period. Additionally, ER assessments showed that 7.12% of the region exhibited a significant decline, with 78.6% experiencing overall reductions in ecological health. The indicators’ response to drought demonstrated that improvements in ecological health during wet conditions were less pronounced than declines during droughts. This study underscores the necessity of prioritizing areas with lower ecological health in future water allocation strategies to optimize water resource utilization.

Study of the Evaluation of Resource and Environmental Carrying Capacity and Driving Factors in Arid Areas – A Case Study in Xinjiang, China

Study of the Evaluation of Resource and Environmental Carrying Capacity and Driving Factors in Arid Areas – A Case Study in Xinjiang, China

Assessment of grassland carrying capacity drivers and evaluation of pasture-livestock balance: A case study of Xinjiang, China

Evaluating the spatiotemporal variations and driving mechanisms of carrying capacity (CC) is critical for optimizing grassland resource utilization and promoting sustainable development in grassland animal husbandry. This study focuses on Xinjiang, an arid and semi-arid region significantly impacted by environmental changes and human activities. To capture the dynamics of grassland CC, we employed Theil-Sen trend analysis and the Mann-Kendall test to assess spatiotemporal trends. The innovative use of the Geodetector method allowed for a detailed quantification of the influence of various environmental and human-related factors on grassland CC. Additionally, we incorporated livestock data to evaluate the overgrazing conditions of the grassland ecosystem. Our findings demonstrate that: (1) Grassland CC has shown a pronounced overall upward trajectory over the last twenty years, with notable inter-annual fluctuations and significant spatial variations, particularly between the northern and southern regions. (2) The spatial distribution of grassland CC is primarily influenced by precipitation patterns and population density, with key determining factors varying across different types of grasslands. Except for alpine steppe and alpine desert, the spatial distribution of grassland CC was primarily influenced by two-factor interactions, surpassing the impacts of single-factor effects. (3) The overgrazing rate has generally declined, peaking in 2014 and showing the mildest condition in 2017. In comparison, the overgrazing situation in Northern Xinjiang is relatively more favorable, whereas the southern and eastern regions necessitates more immediate and comprehensive ecological restoration and management measures. In summary, this study provides important scientific evidence for prioritizing grassland protection and planning for the sustainable animal husbandry development in arid and semi-arid regions.

Trade‐Offs and Optimization of Ecosystem Services in the Plain Terminal Lake Basin: A Case Study of Xinjiang

ABSTRACTInfluenced by climate change and human activities, plain terminal lake basins (PTLB) in arid regions experience significant shrinkage, resulting in a decline in ecosystem services (ESs) such as windbreak and sand fixation (SF) and habitat quality (HQ). However, systematic assessments of these services in such basins are limited. A key research challenge is to define and enhance the contribution of plain terminal lakes within the ESs framework of their respective basins. Therefore, this study focused on the Ebinur Lake Basin (ELB), Manas River Basin (MRB), and Tarim River Basin (TRB) in Xinjiang. We adopted both the InVEST and RWEQ models to assess ESs in these regions, by employing the production possibility frontier (PPF) to optimize various ESs, including carbon storage (CS), water yield (WY), HQ, and SF. The results indicated a general upward trend in ESs across these key basins, with a particularly significant increase in the CS. Spatial analysis revealed that regions with improved ESs were mainly concentrated in the mountainous and oasis areas of the basins, with the most pronounced improvement observed in the TRB. Within these basins, the interactions between the different ESs mainly exhibited synergistic relationships. However, notable concave trade‐off relationships existed between WY and CS, WY and HQ, and HQ and SF, particularly in the TRB. This was largely attributed to increased trade‐offs between WY and other ESs, resulting from the widespread agricultural expansion in the TRB. We plotted the optimal Pareto efficiency curves for ESs across the three basins to obtain the corresponding optimization results, and made recommendations for the enhancement of ESs. In summary, this study lays a solid scientific foundation for establishing ecological protection boundaries and promoting high‐quality sustainable development in the PTLB of arid areas.

Evaluation of spatial conflicts of land use and its driving factors in arid and semiarid regions: A case study of Xinjiang, China

The study of spatial conflicts of land use (SCLU) is an important breakthrough to reveal the evolution mechanism of regional human-land relationship. Accurate identification of SCLU and scientific exploration of its spatio-temporal characteristics of their driving factors are pivotal for regional sustainable development. However, the basic theoretical system of SCLU still needs to be improved, and the spatio-temporal characteristics of SCLU at different spatial scales and landforms as well as the spatio-temporal correlation effects of its driving factors need to be further studied. This study utilizes theoretical models for the identification of SCLU. Employing a comprehensive index approach involving ArcGIS, FRAGSTATS landscape pattern analysis, and the multi-scale geographically weighted regression model, the spatio-temporal characteristics of SCLU are analyzed across different administrative scales and Macro-landforms. The investigation unveils the intrinsic mechanisms of spatio-temporal differentiation driven by various factors from 2000 to 2020 in the arid and semiarid region of Xinjiang, China. Results indicated that: (1) SCLU is a sensitive indicator of human-land interaction, measurable using conflict risk and effect; (2) The SCLU in Xinjiang presents a spatial pattern of “severe conflict around the three mountains and mild conflict around the two basins” and the SCLU transitioned from an outbreak to a relief stage over the past two decades; (3) SCLU varies significantly among landform types, with conflict intensity in Plain > Mountains > Platform > Hill areas; (4) Elevation and slope in natural environmental factors, human footprint and distance of patches from water, from roads, and from railroads in social activity factors have inhibitory effects on SCLU, and GDP, population density, and human impact index in economic development factors have positive effects on SCLU, and focusing on controlling potentially high-conflict risk areas and enhancing the upgrading of ecological quality are key to mitigating SCLU. The results validate the proposed theoretical framework and provide theoretical and practical references for accurately identifying SCLU and optimizing national territory spatial patterns.

Analysis of Spatial and Temporal Distribution and Changes in Extreme Climate Events in Northwest China from 1960 to 2021: A Case Study of Xinjiang

Xinjiang, as a climate-sensitive region in Northwest China, holds significant importance in studying extreme climate events for agricultural production and socioeconomic development. Using data spanning from 1960 to 2021 from 52 meteorological stations across Xinjiang, encompassing 23 indices of extreme climate events, the 5-year moving average, linear trend fitting, and inverse distance weighting (IDW) are used to analyze the distribution patterns and temporal changes in extreme climatic phenomena within the region. The results indicate that, over the period from 1960 to 2021, the Amplitude Temperature Index, Heat Index, and Warm Spell Duration Index in Xinjiang exhibited a marked increasing trend, whereas the Cold Index and Cold Spell Duration Index displayed a significant decreasing trend. The range of changes in the extreme temperature indices from 1990 to 2021 is higher than that of 1960 to 1989. The areas with high values of amplitude temperature extreme indices are primarily concentrated in the southern part, while the areas with high values of cold indices are mainly distributed in the northern part. The upward/downward trends all account for over 80.00% of the entire region. The precipitation scale indices, precipitation day indices, intense precipitation index, and extreme precipitation index all showed a significant growth trend from 1960 to 2021, and the range of change in the extreme precipitation indices from 1990 to 2021 was lower than that from 1960 to 1989. Furthermore, areas with high precipitation values and regions with high trend values of climate tendency are predominantly concentrated in the northern and western parts of Xinjiang, with over 71.00% of the entire region experiencing an upward trend. The research results provide theoretical foundations for formulating climate risk strategies in the northwest region of China.

A Refined Supply‐Demand Framework to Quantify Variability in Ecosystem Services Related to Surface Water in Support of Sustainable Development Goals

AbstractAs water‐related ecosystem services (WRES) encounter unprecedented threats with climate change and human activities, it is important to understand the impact of variations in the supply and demand for WRES on Sustainable Development Goals (SDGs). Previous studies commonly overlooked water quality and water‐use sectors when using comprehensive supply‐demand index (SDIcom), defined as the difference between water supply and demand, leading to challenges in applying WRES estimation to SDGs assessment. We constructed a refined supply‐demand framework for WRES, categorizing the water supply by water quality and the water demand by sectors. It allows the calculation of refined supply‐demand index (SDIref), addressing the limitations of SDIcom. Our findings demonstrate that SDIref could be effectively employed to assess SDGs and rectify the overestimation of SDIcom in the case study in Xinjiang. The supply‐demand relationship of water resources indicates surpluses in domestic and industrial water use and deficits in agricultural and ecological water use, with the latter worsening. SDIref is projected to be higher in the scenario with SSP2‐4.5 and high growth rate of irrigation efficiency. Our study suggested informed decisions based on SDG‐specific targets to either maintain or enhance SDG progress scores. The proposed refined supply‐demand framework of WRES established a quantitative link between WRES and human well‐being, providing applicable insights for other ecosystem service assessments in other regions.

Unveiling the Dynamics and Influence of Water Footprints in Arid Areas: A Case Study of Xinjiang, China

A prerequisite for the rational development and utilization of regional water resources is the measurement of water stress. In this study, from the perspective of water footprints, we took the proportion of the agricultural water footprint within the total water resource usage of Xinjiang (hereafter referred to as XJ) as an example to measure its water stress index and explore the state of water stress in the region and its corresponding driving factors. The ESDA method was applied to characterize the spatial patterns of and correlations with water stress. The effects of different factors on the spatial differentiation between the water footprint and water stress were quantified using the LMDI and geoprobes, respectively. The results showed that (1) both the agricultural water footprint and the water stress index in XJ showed an upward trend, the spatial distribution of water stress was uneven, and the regional pressure difference between the east and the west was greater than that between the north and the south; (2) the water stress index has an obvious negative spatial correlation, fluctuations in its discrete nature have been enhanced, and the number of spatially correlated prefectures is decreasing; (3) water consumption of CNY 10,000 GDP, GDP per capita, and total CO2 emissions have the most significant impact on the evolution of the agricultural water footprint in XJ. Meanwhile, spatial variations in water stress are mainly determined by the area of cultivation, the area of natural oasis, and the proportion of water used in agriculture. Analysis of the characteristics of and factors influencing water stress in XJ from the perspective of its agricultural water footprint provides a new perspective for further analyzing the actual state of the water footprint and water stress in XJ and supplies a reference basis for the decision-makers of the XJ government.

Non-Thermal Plasma Technology for Further Purification of Flue Gas in the Resource Utilization Process of Waste Mercury Catalyst: A Case Study in Xinjiang, China

This study aims to advance the recycling of mercury-containing waste and promote sustainable development within the polyvinyl chloride (PVC) industry. Our innovative system integrates pre-treatment technology (spraying potassium permanganate and demisting and dust removal) with efficient non-thermal plasma oxidation, resulting in excellent treatment efficiency, low cost, and simple operation. With a processing capacity of 3000 m3/h, the concentration of mercury emissions in flue gas can achieve the target of <0.01 mg/m3, boasting a removal efficiency exceeding 98%, which satisfies the standard “Emission standard of air pollutants for industrial kiln and furnace” (GB 9078-1996). Our results can provide technical support for the comprehensive purification of mercury-containing flue gas during the resource recovery process from mercury-containing waste. The application of our system can contribute to reducing mercury emissions in the PVC industry, lowering occupational exposure risks for workers, and promoting China’s better compliance with “the Minamata Convention on Mercury”.

Scenario analysis of COVID-19 dynamical variations by different social environmental factors: a case study in Xinjiang.

With the rapid advancement of the One Health approach, the transmission of human infectious diseases is generally related to environmental and animal health. Coronavirus disease (COVID-19) has been largely impacted by environmental factors regionally and globally and has significantly disrupted human society, especially in low-income regions that border many countries. However, few research studies have explored the impact of environmental factors on disease transmission in these regions. We used the Xinjiang Uygur Autonomous Region as the study area to investigate the impact of environmental factors on COVID-19 variation using a dynamic disease model. Given the special control and prevention strategies against COVID-19 in Xinjiang, the focus was on social and environmental factors, including population mobility, quarantine rates, and return rates. The model performance was evaluated using the statistical metrics of correlation coefficient (CC), normalized absolute error (NAE), root mean square error (RMSE), and distance between the simulation and observation (DISO) indices. Scenario analyses of COVID-19 in Xinjiang encompassed three aspects: different population mobilities, quarantine rates, and return rates. The results suggest that the established dynamic disease model can accurately simulate and predict COVID-19 variations with high accuracy. This model had a CC value of 0.96 and a DISO value of less than 0.35. According to the scenario analysis results, population mobilities have a large impact on COVID-19 variations, with quarantine rates having a stronger impact than return rates. These results provide scientific insight into the control and prevention of COVID-19 in Xinjiang, considering the influence of social and environmental factors on COVID-19 variation. The control and prevention strategies for COVID-19 examined in this study may also be useful for the control of other infectious diseases, especially in low-income regions that are bordered by many countries.

Analysis of sustainable water resource management and driving mechanism in arid region: a case study of Xinjiang, China, from 2005 to 2020.

The long-term dynamic comprehensive evaluation of the water resource carrying capacity (WRCC) and the analysis of its potential driving mechanism in arid areas are contemporary research issues and technical means of mitigating and coordinating the conflict between severe resource shortages and human needs. The purpose of this study was to explore the distribution of the WRCC and the spatiotemporal heterogeneity of drivers in arid areas based on an improved two-dimensional spatiotemporal dynamic evaluation model. The results show that (1) the spatial distribution of the WRCC in Xinjiang, China, is high in the north, low in the south, high in the west, and low in the east. (2) From 2005 to 2020, the centers of gravity of the WRCC in northern and southern Xinjiang moved to the southeast and west, respectively, and the spatial distribution exhibited slight diffusion. (3) The factors influencing the WRCC exhibit more obvious spatial and temporal heterogeneity. The domestic waste disposal rate and ecological water use rate were the main factors influencing the WRCC in the early stage, while the GDP per capita gradually played a dominant role in the later stage. (4) In the next 30 years, the WRCC in Xinjiang will increase. The results provide a theoretical reference for the sustainable development of water resources in arid areas.

Assessment of tourism socio-ecological system resilience in arid areas: A case study of Xinjiang, China

Arid regions hold a prominent position as global tourist destination. However, their ecological fragility and sensitivity to economic and social factors make them more susceptible to various disruptive elements, thereby exacerbating the instability of the tourism socio-ecological system. Consequently, there has been a growing focus on tourism socio-ecological system resilience (TSESR) in arid regions. This study has developed a scientific and universally applicable assessment framework to evaluate TSESR in arid regions, considering the system's process mechanisms and dimensions. The framework encompasses four key domains: resistance, recovery, adaptation, and renewal, further divided into twelve criterion layers. This study conducted a case study in 14 prefecture-level units in Xinjiang, China, from 2010 to 2020. An improved TOPSIS model, Gini coefficient, Kernel density estimation, and Obstacle degree model were employed to investigate the levels, spatiotemporal variations, and obstacle factors of TSESR. The research findings indicate that during the study period, the resilience levels of the 14 prefecture-level cities exhibited an overall upward trend with fluctuations. There are notable spatial disparities, yet these disparities are diminishing. Furthermore, factors such as resource endowment, market potential, economic foundation, industrial environment, and human capital represented common obstacles, while unique regional impediments also existed. The TSESR assessment index system can scientifically and comprehensively evaluate resilience levels, offering an adaptive indicators framework for arid regions. It promotes the development of a resilient tourism socio-ecological system, thereby achieving sustainable tourism development.

Construction of ecological security pattern based on InVEST-Conefor-MCRM: A case study of Xinjiang, China

Constructing ecological security patterns (ESP) effectively maintains ecosystems' green, healthy, and sustainable development. The InVEST model and Conefor software were utilized in this study to pinpoint ecological sources (eco-sources) through a blend of landscape connectivity and the importance of ecosystem services (IES); the ecological resistance surface was constructed by synthesizing the gravity model and minimum cumulative resistance model (MCRM), extracted ecological corridors (eco-corridors) and nodes. Ultimately, the research in this study built the ESP for Xinjiang. The findings showed that: (1) 14 eco-sources were identified in Xinjiang, spanning an area of 2.13 × 105 km2; 32 eco-corridors were extracted, including 9 important and 23 general eco-corridors, comprising a total length of 1.26 × 104 km; identified 46 ecological nodes(eco-nodes); (2) the size of important and more important patches of ecosystem services in Xinjiang was 2.82 × 105 km2, which accounted for a relatively small size, and the value of ecosystem services was generally average. The overall level of landscape connectivity in the primary eco-sources was high, but the spatial distribution was uneven; (3) the ecological resistance values in Xinjiang vary significantly, with high-level resistance surfaces primarily located in the Junggar Basin and Tarim Basin and low-level resistance covering most of Xinjiang's natural ecological reserves and other areas. The study's findings can provide some references for constructing ESP at the provincial scale and in arid and semiarid regions and for planning spatial ecological restoration in Xinjiang.

Consistency Analysis of Multi-Source Remote Sensing Land Cover Products in Arid Regions—A Case Study of Xinjiang

Arid regions are considered to be among the most ecologically fragile and highly sensitive to environmental change globally, and land use and land cover conditions in the region directly influence large-scale ecosystem processes. Currently, thanks to diverse remote sensing platforms, geographers have developed an array of land cover products. However, there are differences between these products due to variations in spatio-temporal resolutions. In this context, assessing the accuracy and consistency of different land cover products is crucial for rationalizing the selection of land cover products to study global or regional environmental changes. In this study, Xinjiang Uygur Autonomous Region (XUAR) is taken as the study area, and the consistency and performance (type area deviation, spatial consistency, accuracy assessment, and other indexes) of the five land cover products (GlobeLand30, FROM_GLC30, CLCD, GLC_FCS30, and ESRI) were compared and analyzed. The results of the study show that (1) the GlobeLand30 product has the highest overall accuracy in the study area, with an overall accuracy of 84.06%, followed by ESA with 75.57%, while CLCD has the lowest overall accuracy of 70.05%. (2) The consistency between GlobeLand30 and CLCD (area correlation coefficient of 0.99) was higher than that among the other products. (3) Among the five products, the highest consistency was found for water bodies and permanent snow and ice, followed by bare land. In contrast, the consistency of these five products for grassland and forest was relatively low. (4) The full-consistency area accounts for 49.01% of the total study area. They were mainly distributed in areas with relatively homogeneous land cover types, such as the north and south of the Tianshan Mountains, which are dominated by bare land and cropland. In contrast, areas of inconsistency make up only 0.03% and are mostly found in heterogeneous areas, like the transitional zones with mixed land cover types in the Altai Mountains and Tianshan Mountains, or in areas with complex terrain. In terms of meeting practical user needs, GlobeLand30 offers the best comprehensive performance. GLC_FCS30 is more suitable for studies related to forests, while FROM_GLC30 and ESRI demonstrate greater advantages in identifying permanent ice and snow, whereas the performance of CLCD is generally average.

Evaluation of Ecological Quality Status and Changing Trend in Arid Land Based on the Remote Sensing Ecological Index: A Case Study in Xinjiang, China

Ecosystems in arid areas are under pressure from human activities and the natural environment. Long-term monitoring and evaluation of arid ecosystems are essential for achieving the goal of sustainable development. The Xinjiang Uygur Autonomous Region (Xinjiang) is a typical arid region located in Northwest China with a relatively sensitive ecosystem. Under the support of the Google Earth Engine (GEE) cloud platform’s massive data collection, the remote sensing ecological index (RSEI) from 2000 to 2020, both in summer and spring, is established, and the variation trend of the ecological quality in Xinjiang is evaluated by coefficient of variation (CV), Sen’s slope analysis, Mann–Kendall trend test (M–K test) and Hurst index. In addition, a partial correlation analysis is processed between RSEI and selected climatic factors, including precipitation and temperature, to find out the mode of correlation between ecological quality and the natural climate. In the last two decades the following has become apparent: (1) The RSEI values of Xinjiang have been relatively low and unstable both in summer and spring, with a trend toward increasing; (2) The distribution characteristics of RSEI levels both in summer and spring have been similar; low levels were concentrated in the desert and wilderness, while high levels were concentrated around the oasis; (3) The ecological quality in Xinjiang has been relatively stable, with a trend of sustained increase both in summer and spring. There was also a small area of sustained decrease around the Junggar Basin and Turpan Basin in summer and a small area of significant decrease in the center of the Taklamakan Desert in spring; (4) In summer, the precipitation has obviously positively correlated in the Southwest. The temperature has obviously positively correlated in the northwestern part; in spring, the precipitation has obviously positively correlated in the Western part; the temperature has obviously positively correlated in the oasis around the Yili River Basin and Tarim Basin.

Performance Zoning of Asphalt Pavement and Performance Grade (PG) of Asphalt Binder in Karamay: A Case Study of Xinjiang, China

Asphalt binder is a temperature-sensitive material with a performance that is greatly affected by changing climates. Improper selection of asphalt will cause a lot of damage and affect the durability of the road. The establishment of asphalt pavement performance zoning in Xinjiang, a vast area with great temperature differences, will provide a reference for the selection of asphalt suitability, the refinement of pavement design, and the sustainable development of road engineering. In this study, 11 years of temperature data in the Xinjiang region have been collected and analyzed, and 98% reliability of pavement design temperature has been used to draw a performance grading map of asphalt pavement in the Xinjiang region based on the ArcGIS platform. Finally, the Xinjiang region is divided into nine performance zones. At the same time, the performance grades (PG) of five kinds of asphalt binders in Karamay are explored. The result shows that there is little difference in continuous PG span between different matrix asphalt binders; the lower the penetration grade, the better the high-temperature performance, and the worse the low-temperature performance. After adding the SBS modifier, the continuous PG span can be about 20 °C higher than the matrix asphalt. The indoor test of asphalt mixture also shows that SBS-modified asphalt has better durability. All these provide the basis for a reasonable selection of asphalt binders in different areas of Xinjiang.

Snow Cover Mapping Based on SNPP-VIIRS Day/Night Band: A Case Study in Xinjiang, China

Detailed snow cover maps are essential for estimating the earth’s energy balance and hydrological cycle. Mapping the snow cover across spatially extensive and topographically complex areas with less or no cloud obscuration is challenging, but the SNPP-VIIRS Day/Night Band (DNB) nighttime light data offers a potential solution. This paper aims to map snow cover distribution at 750 m resolution across the diverse 1,664,900 km2 of Xinjiang, China, based on SNPP-VIIRS DNB radiance. We implemented a swarm intelligent optimization technique Krill Herd algorithm, which finds the optimal threshold value by taking Otsu’s method as the objective function. We derived SNPP-VIIRS DNB snow maps of 14 consecutive scenes in December 2021, compared our snow-covered area estimations with those from MODIS and AMSR2 standard snow cover products, and generated composite snow maps by merging MODIS and SNPP-VIIRS DNB data. Results show that SNPP-VIIRS DNB snow maps are capable of providing reliable snow cover maps superior to MODIS and AMSR2, with an overall accuracy level of 84.66%. The composite snow maps at 500 m spatial resolution provided 55.85% more information on snow cover distribution than standard MODIS products and achieved an overall accuracy of 84.69%. Our study demonstrated the feasibility of snow cover detection in Xinjiang based on SNPP-VIIRS DNB, which can serve as a supplementary dataset for MODIS estimations where clouded pixels are present.

Concurrent and lagged effects of drought on grassland net primary productivity: a case study in Xinjiang, China

Xinjiang grasslands play a crucial role in regulating the regional carbon cycle and maintaining ecosystem stability, and grassland net primary productivity (NPP) is highly vulnerable to drought. Drought events are frequent in Xinjiang due to the impact of global warming. However, there is a lack of more systematic research results on how Xinjiang grassland NPP responds to drought and how its heterogeneity is characterized. In this study, the CASA (Carnegie Ames Stanford Application) model was used to simulate the 1982–2020 grassland NPP in Xinjiang, and the standardized Precipitation Evapotranspiration Index (SPEI) was calculated using meteorological station data to characterize drought. The spatial and temporal variability of NPP and drought in Xinjiang grasslands from 1982 to 2020 were analyzed by the Sen trend method and the Mann-Kendall test, and the response characteristics of NPP to drought in Xinjiang grasslands were investigated by the correlation analysis method. The results showed that (1) the overall trend of NPP in Xinjiang grassland was increasing, and its value was growing season > summer > spring > autumn. Mild drought occurred most frequently in the growing season and autumn, and moderate drought occurred most frequently in spring. (2) A total of 64.63% of grassland NPP had a mainly concurrent effect on drought, and these grasslands were primarily located in the northern region of Xinjiang. The concurrent effect of drought on NPP was strongest in plain grassland and weakest in alpine subalpine grassland. (3) The lagged effect is mainly in the southern grasslands, the NPP of alpine subalpine meadows, meadows, and alpine subalpine grasslands showed mainly a 1-month time lag effect to drought, and desert grassland NPP showed mainly a 3-month time lag effect to drought. This research can contribute to a reliable theoretical basis for regional sustainable development.

Reliability and Robustness Assessment of Highway Networks under Multi-Hazard Scenarios: A Case Study in Xinjiang, China

The robustness and reliability capacities of highways are particularly critical when dealing with emergencies in order to ensure user safety following disaster events. Assessing the robustness and reliability of highways under multi-hazard scenarios and evaluating the impact of planning on them have become urgent topics. In this study, we use the Xinjiang Production and Construction Corps’ (XPCC) existing and planned arterial highway networks in China for research. Based on the multi-hazard information, we established and employed four attack strategies on the existing and planned arterial highway networks. The results show that the exposure susceptibility coefficient (ESC) strategy has a higher destruction capability than the random attack strategy, which is close to the greedy algorithm coefficient (GAC) strategy. In addition, attacks have negligible impacts on connectivity reliability and robustness but significantly affect travel time reliability and robustness. When the number of removed edges reaches 20 using the ESC strategy, the travel time reliability drops to 0.4 for the existing highway network. In addition, the planned highway network significantly improves the reliability and robustness with regard to multi-hazard scenarios, especially for travel time reliability. Travel time reliability is improved by 10% under the historical damage records coefficient (HDRC) and ESC attacks. Our study shows that planning promotes the construction of a resilient transportation system in multi-hazard scenarios, providing valuable information for resilient transportation construction.

Genotypes and Phenotypes of Uygur Children With Xeroderma Pigmentosum: A Case Study in Xinjiang, China

Objective: Xeroderma pigmentosum (XP) is a rare autosomal recessive dermatosis caused by genetic defects of DNA repair. This study was performed to detect and analyze the genes of 2 Uygur patients with XP and their families and assess the patients’ phenotypes, which may enrich the understanding of the genetic skin disorder spectrum in Xinjiang area. Methods: We collected the clinical data from 2 patients with XP and peripheral blood samples from the patients and their family members. The patients’ DNA was sequenced and detected by Sanger sequencing, and gene mutations were screened. Results: The proband in family 1 presented with brown maculae at the exposure site and squamous cell carcinoma secondary to a facial rash. The proband had a homozygous nucleotide variation of XPC c.2251-2A> G (A change from A to G in the penultimate position of the intron before the 2251 position in the coding region), which was a shear mutation. In this family, both parents were heterozygous, and no similar mutation detected in the sister. In family 2, the proband had scattered black brown spots and papules on the trunk and limbs. and his younger sister was also a patient. The proband and his younger sister had homonucleotide variation of XPA c.631C> T, which was nonsense mutation, resulting in the codon for Arg No.211 being changed into termination codon (p.arg211X), thus terminating the peptide chain synthesis prematurely. All the normal individuals in the two families were heterozygotes, and homozygous mutations occurred in all the patients, which was consistent with the autosomal recessive inheritance. Conclusion: XP is rare in Uygur population. This study expanded the mutation spectrum of XP and provided a basis for early diagnosis, treatment, prognostic prediction, and prenatal genetic consultation.