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Factors influencing the spatial distribution and individual variation in urinary fluoride levels in Tibet, China

Chemosphere 2023年第1期326卷 138493页

作者： Zhang, Ru Yang, Yi Deji, Yangzong Li, Hairong Li, Yonghua Nima, Cangjue Zhao, Shengcheng Gong, Hongqiang Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China University of Chinese Academy of Sciences Beijing100049 China Tibet Center of Disease Control and Prevention Lhasa850030 China

Nowadays, fluorosis is the most prevalent endemic disease in Tibet and one of the most concerned public health problems in China;urinary fluoride is a common diagnostic indicator of endemic fluorosis. However, the spatial distribution and influencing factors of urinary fluoride content in Tibet remain unclear. This study aims to bridge this gap by geographically weighted regression (GWR), analyses of variance (ANOVAs), Geodetector, and stepwise multiple linear regression (MLR). To achieve this goal, this study first investigated fluoride levels in the fasting urine among 637 Tibetan residents from 73 counties in Tibet, the urinary fluoride level was chosen as an indicator of fluorosis, which can reflect the health impairment. Then we identified the potential factors that could influence the spatial distribution and individual variation of urinary fluoride levels from physical environmental and socioeconomic perspective, respectively. The results showed that urinary fluoride levels in Tibet were slightly exceeding the average value for adult urinary fluoride in China, and that residents with high urinary fluoride were mainly found in the west and east;those with low urinary fluoride were mainly found in the central-southern regions. And the urinary fluoride levels had a significantly positive correlation with water fluoride and a significantly negative correlation with average annual temperature. Urinary fluoride levels increased until age 60 and followed an inverted "U"-shaped trajectory according to annual household income (80,000 renminbi (RMB) was the inflection point);pastoralists had greater exposure to fluoride than farmers. Furthermore, the Geodetector and MLR showed that the urinary fluoride level was influenced by both physical environmental and socioeconomic factors. The socioeconomic factors such as age, annual household income and occupation had a greater impact than the physical environment on urinary fluoride concentration. These findings can provide s

关键词： Diagnosis

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Nonlinear Relationship Between Multidimensional Urbanization and Carbon Emissions and Its Driving Mechanisms

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Huanjing Kexue/Environmental Science 2025年第6期46卷 3524-3535页

作者： Nie, Cheng-Jing Li, Yi-Xuan Du, Hui Zhang, Xue-Ru Wang, Li Zhang, Feng-Ying School of Public Administration Hebei University of Economics and Business Shijiazhuang050061 China Hebei Collaborative Innovation Center for Urban-Rural Integrated Development Hebei University of Economics and Business Shijiazhuang050061 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China China National Environmental Monitoring Centre Beijing100012 China

Understanding the relationships and associated mechanisms between multidimensional urbanization and carbon emissions is essential for the coordinated development of strategies for high-quality urbanization and carbon reduction. Using panel statistical data and remote sensing imagery from cities in the Bohai Rim from 2000 to 2021，in this study，we employed spatial autocorrelation models to investigate the spatiotemporal evolution of CO2 emissions and applied a system dynamic panel regression model to assess the nonlinear relationship and driving mechanisms between multidimensional urbanization and CO2 emissions. From 2000 to 2021，CO2emissions in the Bohai Rim exhibited an upward trend，with a deceleration in growth after 2016. The CO2 emission intensity generally declined，with fluctuations post 2019 and a transition from lower to higher emission levels among cities. Spatial agglomeration was not prominent during the study period. However，after 2016，there was a noticeable trend toward stronger correlational characteristics. Significant differences were observed in the nonlinear relationships between the various stages of urbanization subsystems in the Bohai Rim and CO2 emissions. Economic urbanization showed an inverted "N" curve relationship with CO2 emissions，indicative of an environmental kuznets curve（EKC）effect. When per capita GDP exceeded 89 278.41 Yuan，economic urbanization exhibited an inhibitory effect on CO2 emissions，suggesting the importance of enhancing the comprehensive urban quality and shifting development strategies for managing emissions. The relationship between population urbanization and CO2 emissions was confined to the left side of the inverted"U"curve，indicating that the carbon emissions inflection point had not been reached. The impact of land urbanization on CO2 emissions mirrored that of economic urbanization，displaying a distinct inverted"N"pattern. Population size，industrial structure，foreign investment，and consumer spending levels promoted

关键词： Logistic regression

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Distribution, Trends, and Drivers of Snow Avalanche Susceptibility in the Earth's Third Pole

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SSRN 2025年

作者： Li, Chao-Yue Wei, Hao-Zhuo Hao, Jian-Sheng Wu, Ya-Qiao Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China College of Resources and Environment University of Chinese Academy of Sciences Beijing100049 China Faculty of Geography Tianjin Normal University Tianjin300387 China

In the rapidly evolving mountain cryosphere, snow avalanches threaten livelihoods, settlements and infrastructure. However, the trends in avalanche susceptibility over recent decades remain unclear. Here, we identified and established an avalanche catalog database by combining remote sensing interpretation with field validation. Then, we developed an Intelligent Weighted Synergy Optimization Model (IWSOM), which improves predictive accuracy (AUC+0.17) by incorporating thresholds for snow cover days and slope. Utilizing this model, we quantified the evolution of avalanche susceptibility in the Third Pole over the past two decades. Our results indicate a general decline in avalanche susceptibility from 2003 to 2022, with approximately 26.5% of the region experiencing a significant reduction, mainly in the Nyainqentanglha Range and the Hengduan Mountains. We further found that high susceptibility zones are shifting to higher altitudes, while mid-low susceptibility zones are migrating downward. Moreover, avalanche susceptibility exhibits spatial interdependence, with its sensitivity progressively weakening from the monsoon zone to the westerly zone. The monsoon region emerges as the primary driver of the reduced avalanche susceptibility in the Third Pole. Our findings highlight the spatial variability and vertical zonation of avalanches susceptibility in the Third Pole, emphasizing the dominant role of topography in avalanche process. These results are of significant theoretical and practical importance for understanding the factors controlling avalanche events and for the scientific prevention and management of avalanche disasters. © 2025, The Authors. All rights reserved.

关键词： Atmospheric thermodynamics

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Contributions of moisture sources to precipitation in the major drainage basins in the Tibetan Plateau

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Science China Earth Sciences 2022年第6期65卷 1088-1103页

作者： Ying LI Fengge SU Qiuhong TANG Hongkai GAO Denghua YAN Hui PENG Shangbin XIAO Engineering Research Center of Eco-environment in Three Gorges Reservoir Region Yichang 443002China College of Hydraulic and Environmental Engineering China Three Gorges UniversityYichang 443002China State Key Laboratory of Tibetan Plateau Earth System Resources and Environment(TPESRE)Institute of Tibetan Plateau ResearchChinese Academy of Sciences(CAS)Beijing 100101China University of Chinese Academy of Sciences Beijing 100101China CAS Center for Excellence in Tibetan Plateau Earth Sciences Beijing 100101China Key Laboratory of Water Cycle and Related Land Surface Process Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China Key Laboratory of Geographic Information Science(Ministry of Education of China) East China Normal UniversityShanghai 200241China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin Water Resources DepartmentChina Institute of Water Resources and Hydropower ResearchBeijing 100038China

Tracking and quantifying the moisture sources of precipitation in different drainage basins in the Tibetan Plateau(TP)help to reveal basin-scale hydrological cycle characteristics under the interactions between the westerlies and Indian summer monsoon(ISM) systems and to improve our understanding on the mechanisms of water resource changes in the ‘Asian Water Tower' under climate changes. Based on a Eulerian moisture tracking model(WAM-2) and three atmospheric reanalysis products(ERA-I, MERRA-2, and JRA-55), the contributions of moisture sources to the precipitation in six major sub-basins in the TP were tracked during an approximately 35-year period(1979/1980–2015). The results showed that in the upper Indus(UI),upper Tarim River(UT), and Qaidam Basin(QB), the moisture sources mainly extended westward along the mid-latitude westerlies to the western part of the Eurasian continent. In contrast, in the Yarlung Zangbo River Basin(YB), inner TP(ITP), and the source area of three eastern rivers(TER, including the Nujiang River, Lancang River, and Yangtze River), the moisture sources extended both westward and southward, but mainly southward along the ISM. In winter and spring, all of the sub-basins were dominated by western moisture sources. In summer, the western sources migrated northward with the zonal movement of the westerlies, and simultaneously the southern sources of the YB, ITP, and TER expanded largely toward the Indian Ocean along the ISM. In autumn, the moisture sources of the UI, UT, and QB shrank to the western sources, and the moisture sources of the YB, ITP, and TER shrank to the central-southern TP and the Indian subcontinent. By quantifying the moisture contributions from multiple sources, we found that the terrestrial moisture dominated in all of the sub-basins, particularly in the UT and QB(62–73%). The oceanic contributions were relatively high in the UI(38–42%) and YB(38–41%). In winter, evaporation from the large western water bodies(such as the M

关键词： Tibetan Plateau Precipitation Moisture sources Westerlies Indian summer monsoon Local recycling

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The Biophysical and Crop Yield Effects of Irrigation and Their Changes in China's Drylands

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SSRN 2024年

作者： Zi, Shuangshuang Li, Yan Zhang, Jingwen Hou, Chengcheng Lin, Huiqing Xu, Zhengjie Dong, Jinwei Fu, Bojie State Key Laboratory of Earth Surface Processes and Resource Ecology Faculty of Geographical Science Beijing Normal University Beijing China Institute of Land Surface System and Sustainable Development Faculty of Geographical Science Beijing Normal University Beijing China School of Civil Engineering Center of Water Resources and Environment Sun Yat-sen University Zhuhai China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China

Irrigation is critical for food production, especially in arid and semi-arid regions. Irrigation has complex and interactive effects on local climate, evapotranspiration, and crop growth. Here we use satellite remote sensing data and statistical models to quantify the biophysical irrigation effects on land surface temperature (LST), evapotranspiration (ET), crop greenness and crop yield effects in China’s drylands. Results show that during 2001-2012, irrigation in China's drylands leads to a significant cooling effect on daytime LST (-0.52 °C), a weak cooling effect on nighttime LST (-0.14 °C), an increase in ET (+0.16 mm/d), and enhanced crop greenness (+0.02) and maize yields (+3.4 ton/ha;55%) compared with rainfed croplands. The irrigation effects have strong spatiotemporal variations, with greater effects in the dry regions/periods with higher irrigation intensity. It needs to be noted that the irrigation cooling effects have gradually weakened since 2001, while the enhanced effects on ET, greenness and maize yields are still increasing. This is mainly driven by the decline in irrigation water use but the increase in irrigation water productivity due to the adoption of water-saving irrigation technologies. This study improves our understanding on the irrigation effects and their responses to changing irrigation practices and climate in water-limited regions. © 2024, The Authors. All rights reserved.

关键词： Evapotranspiration

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Does Biochar Restrict Cd Migration And Bioaccumulation In a Multi-Species Alkaline Fluvo-Aquic Soil System?

SSRN

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SSRN 2024年

作者： Li, Dongqin Lai, Changhong Chen, Guikui Zhang, Ru Wen, Dian Wu, Zhichao Li, Furong Shi, Hanzhi Cao, Yiran Wang, Xu Institute of Quality Standard and Monitoring Technology for Agro-products Guangdong Academy of Agricultural Sciences Guangzhou501640 China College of Resources and Environment South China Agricultural University Guangzhou510642 China Key Laboratory of Land Surface Pattern and Simulation China Guangdong Medical University China

A soil column experiment was carried out to quantify the migration of cadmium (Cd) in an earthworm-wheat-soil multi-species system (MS·3). Two fluvo-aquic soils, one from Henan and the other from Beijing, were packed in the upper (0–20 cm) and lower layers (20–50 cm) of the soil columns, respectively. Five treatments were set up: CK (no wheat and no earthworm), W (only wheat), E (only earthworm), W+E (wheat and earthworm), and B+W+E (biochar, wheat, and earthworm). The results showed that biochar application in the earthworm-wheat-soil system increased soil pH, soil water retention, and earthworm Cd concentration but reduced Cd availability in soil, wheat growth and Cd translocation factor, earthworm survival rate, and earthworm average weight change rate. Due to the adsorption by biochar, the majority of Cd (64.39%) stayed in the 0–20 cm soil layer, with approximately 35.51%, 0.08%, and 0.02% of the total Cd being found in the 20–50 cm soil layer, earthworms, and wheat plants, respectively, in the B+W+E treatment. Compared to W+E, the proportions of total Cd found in the earthworms and 0–20 cm soil layer were 84.44% and 6.79%, respectively, higher, whereas that in the 20–50 cm soil layer was 10.52% lower B+W+E. In contrast, the proportions in wheat plants were very close between the two treatments. These results demonstrated that biochar immobilized Cd in the upper layer and reduced Cd leaching to the lower layer in the MS·3 system. However, biochar application increased Cd accumulation in the earthworms and led to wheat growth reduction. Therefore, this research provides new basic data on the potential ecological risks of biochar application to soil systems. © 2024, The Authors. All rights reserved.

关键词： Cadmium

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Variations of surface ozone (O3) pollution and its relationship with meteorological factors in Xinyang City during 2015-2019

Variations of surface ozone (O3) pollution and its relations...

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2021 International Conference on Statistics, Applied Mathematics, and Computing Science, CSAMCS 2021

作者： Yan, Wei Jiang, Ziyun Zhou, Feng Ning, Jia Liu, Minghua School of Geographic Sciences Xinyang Normal University Henan46400 China Xinyang Key Laboratory of Climate Change and Environmental Evolution Xinyang Normal University Xinyang46400 China College of Computer and Information Technology Xinyang Normal University Henan46400 China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China

ISBN: (纸本)9781510652026

With the rapid development of the economy, surface ozone (O3) has become one of the most critical pollutants which disturb urban air quality improvement and standard management. It is important to clarify the variation characteristics of urban surface O3 concentration and its influence factors for scientifically formulating early warning of O3 pollution and prevention and control schemes. In this paper, based on datasets of surface O3 concentration and meteorological data of Xinyang City during 2015∼2019, the variation characteristics of surface O3 concentration and the influence of meteorological factors on it were analysed by using statistical analysis and path analysis. The results show that the annual mean O3 concentration of Xinyang City fluctuated "declining-rising-declining"from 2015 to 2019, and the annual average probability in exceedance of the Chinese grade I and II ambient air quality standards were 41.7% and 10.7%, respectively. The monthly variation of O3 concentration presented a significant M-Type fluctuation, with the peak values appearing in May and September, respectively. The meteorological factors had different degrees of influence on O3 concentration, with the influence degree in order air temperature © COPYRIGHT SPIE.

关键词： Regression analysis

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Characteristics of Rare Earth Elements in Sediments for Indicating Anthropogenic Impacts on Plateau Lakes: An Example from Qinghai Lake, Ne Tibetan Plateau

SSRN

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SSRN 2023年

作者： Tian, Shuhan Meng, Yingyi Wan, Xiaoming Yang, Xiao Wang, Lingqing Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing100101 China Department of Occupational and Environmental Health School of Public Health Qingdao University Qingdao266021 China

Qinghai Lake, the largest saline lake in China, plays a crucial role in maintaining ecological security and water circulations in the Tibetan Plateau. At the same time, the plateau lake might be sensitive and vulnerable to emerging pollutants, which makes it important to identify the pollution degree and sources and subsequently take protective measures. In this study, rare earth element (REE) characteristics combined with a receptor model (Positive Matrix Factorization) were used to analyze the source contributions. The concentrations of tested REEs in Qinghai Lake sediments (6.17 ± 0.70 mg/kg for Sc, 7.79 ± 1.60 mg/kg for Y, 10.16 ± 4.57 mg/kg for La, 20.06 ± 6.43 mg/kg for Ce, and 1.08 ± 0.17 mg/kg for Yb) were much lower than reported values for other lakes in China, and the geo-accumulation index results indicated unpolluted levels for REEs. Lanthanum and Ce had higher coefficients of variation than other rare earth elements and had abnormally high values around the entrances of rivers, indicating possible disturbances from exogenous sources. The receptor model recognized that 25% of the 18 tested elements and 50% of REEs in the sediment may be carried by river inputs. REE characteristics further suggested that the exogenous source might contain traffic and/or fossil fuel combustion components. It is suggested that relevant measures should be taken to prevent further contamination in Qinghai Lake. © 2023, The Authors. All rights reserved.

关键词： Lakes

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Changes in agricultural virtual water in Central Asia,1992-2016

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Journal of Geographical Sciences 2020年第11期30卷 1909-1920页

作者： YAN Ziyan TAN Minghong Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China International College University of Chinese Academy of SciencesBeijing 100049China

In recent years,flows of many rivers and lakes have become reduced in arid and semi-arid regions around the *** most typical examples of this phenomenon occur in Central Asia,and the reduction of the Aral Sea area is closely related to agricultural water ***,due to a lack of continuous data in Central Asia spanning many years,"virtual water"is used to evaluate changes in agricultural water *** on virtual water theory,325 kinds of agricultural products in eight categories are selected as the research object,and changes in virtual water are calculated for Central Asia from 1992 to *** indicate that:(1)The average annual net export of agricultural virtual water(TVWNE)in Central Asia is about 9 billion m3,concentrated in Kazakhstan,whose annual TVWNE reaches 8.1 billion m3.(2)Since 2007,the TVWNE in Central Asia has dropped significantly,with a drop rate of 86%,while the total volume of agricultural virtual water has gradually increased since 1998.(3)The upstream and downstream countries in Central Asia have different characteristics in the change of virtual water quantity.

关键词： Central Asia agricultural products virtual water

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Damage evaluation of soybean chilling injury based on Google Earth Engine(GEE)and crop modelling

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Journal of Geographical Sciences 2020年第8期30卷 1249-1265页

作者： CAO Juan ZHANG Zhao ZHANG Liangliang LUO Yuchuan LI Ziyue TAO Fulu State Key Laboratory of Earth Surface Processes and Resource Ecology/MEM&MoE Key Laboratory of Environmental Change and Natural Hazards Faculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China

Frequent chilling injury has serious impacts on national food security and in northeastern China heavily affects grain *** and accurate measures are desirable for assessing associated large-scale impacts and are prerequisites to disaster ***,we propose a novel means to efficiently assess the impacts of chilling injury on *** chilling injury events were diagnosed in 1989,1995,2003,2009,and 2018 in Oroqen *** total,512 combinations scenarios were established using the localized CROPGRO-Soybean ***,we determined the maximum wide dynamic vegetation index(WDRVI)and corresponding date of critical windows of the early and late growing seasons using the GEE(Google Earth Engine)platform,then constructed 1600 cold vulnerability models on CDD(Cold Degree Days),the simulated LAI(Leaf Area Index)and yields from the CROPGRO-Soybean ***,we calculated pixel yields losses according to the corresponding vulnerability *** findings show that simulated historical yield losses in 1989,1995,2003 and 2009 were measured at 9.6%,29.8%,50.5%,and 15.7%,respectively,closely(all errors are within one standard deviation)reflecting actual losses(6.4%,39.2%,47.7%,and 13.2%,respectively).The above proposed method was applied to evaluate the yield loss for 2018 at the pixel ***,a sentinel-2A image was used for 10-m high precision yield mapping,and the estimated losses were found to characterize the actual yield losses from 2018 cold *** results highlight that the proposed method can efficiently and accurately assess the effects of chilling injury on soybean crops.

关键词： chilling injury Google Earth Engine(GEE) CROPGRO-Soybean soybean yield loss cold degree days(CDD)

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