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Quantifying the Contributions of Environmental Factors to Wind Characteristics over 2000–2019 in China

Yuming Lu, Bingfang Wu, Nana Yan, Weiwei Zhu, Hongwei Zeng, Zonghan Ma, Jiaming Xu, Xinghua Wu, Bo Pang
2021 ISPRS International Journal of Geo-Information  
In this study, data from 697 meteorological stations in China from 2000 to 2019 were used to study the distribution and trend of wind speed over the past two decades.  ...  of environmental factors to wind speed.  ...  Acknowledgments: The authors would like to thank the China Meteorological Data Service Center (, accessed on 30 May 2020) for providing the ground meteorological station data of China  ... 
doi:10.3390/ijgi10080515 fatcat:qm4oa4kibfcijb6sk4qvep66fy

Factors Controlling Tropical Cyclone Intensification Over the Marginal Seas of China

Xiaomeng Li, Ruifen Zhan, Yuqing Wang, Jing Xu
2021 Frontiers in Earth Science  
The box difference index method is used to quantify the relative contributions of these factors to TC RI.  ...  and compare the climatological characteristics and key factors of different intensification stratifications over the marginal seas of China (MSC) and the western North Pacific (WNP) during 1980–2018.  ...  The box difference index method is used to quantify the relative contributions of these factors to TC RI.  ... 
doi:10.3389/feart.2021.795186 fatcat:n7f5cxnbfnb57ec64oe2pgmzwe

Quantifying the impact of synoptic circulation patterns on ozone variability in northern China from April to October 2013–2017

Jingda Liu, Lili Wang, Mingge Li, Zhiheng Liao, Yang Sun, Tao Song, Wenkang Gao, Yonghong Wang, Yan Li, Dongsheng Ji, Bo Hu, Veli-Matti Kerminen (+2 others)
2019 Atmospheric Chemistry and Physics  
The characteristics of ozone variations and the impacts of synoptic and local meteorological factors in northern China were quantitatively analyzed during the warm season from 2013 to 2017 based on multi-city  ...  Overall, 41 %–63 % of the day-to-day variability in the MDA8 O3 concentrations was due to local meteorological variations in most cities over northern China, except for two cities: QHD (Qinhuangdao) at  ...  We give special thanks to the National Earth System Science, Data Sharing Infrastructure, and the National Science & Technology Infrastructure of China.  ... 
doi:10.5194/acp-19-14477-2019 fatcat:ozxw44l2qfcbho2g2vzm4uhkku

Tropical Cyclone Activities Over the Western North Pacific in Summer 2020: Transition From Silence in July to Unusually Active in August

Zhensong Gong, Yunyun Liu, Zeng-Zhen Hu, Ping Liang
2022 Frontiers in Earth Science  
The exceptional variation of the Madden–Julian Oscillation (MJO) activity from July to August 2020 contributed to the transition of the environmental conditions over WNP.  ...  factor for the transition of TC genesis in summer 2020, while the changes of SST, low-level vorticity, and vertical wind shear anomalies played a secondary role.  ...  Impacting Factors in July and August 2020 To identify the key environmental factors leading to the changes from silence in July to active in August 2020, we examine the contribution from each of the five  ... 
doi:10.3389/feart.2022.843990 fatcat:ixhpexldljcxdp4jo3ladft5fu

Contribution Isolation of LUCC Impact on Regional PM2.5 Air Pollution: Implications for Sustainable Land and Environment Management

Ying Ding, Huihui Feng, Bin Zou, Shuchao Ye
2022 Frontiers in Environmental Science  
This study aimed to estimate the contribution of LUCC to PM2.5 pollution levels in the Changsha-Zhuzhou-Xiangtan (CZT) urban agglomeration in the central south China.  ...  Understanding of the contribution of LUCC to air pollution is the basis for land management and air pollution control.  ...  To quantify the LUCC influence, the MLR model was used to simulate the PM 2.5 concentrations under the control of other factors (factors except for land use).  ... 
doi:10.3389/fenvs.2022.825732 fatcat:dobhhzxolnf43a24pja75pk5wy

Analyzing the Interrelationships among Various Ecosystem Services from the Perspective of Ecosystem Service Bundles in Shenyang, China

Shuang Gan, Yu Xiao, Keyu Qin, Jingya Liu, Jie Xu, Yangyang Wang, Yingnan Niu, Mengdong Huang, Gaodi Xie
2022 Land  
The results showed: (1) all ES in Shenyang improved between 2000 and 2019; (2) the most obvious trade-off was found between sand fixation and water conservation; (3) the ES in the study region could be  ...  Finally, the random forest method was employed to identify the driving factors affecting the ES bundles.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/land11040515 fatcat:aqo5iagdvfbfnjhl4ehmsimomm

Quantifying the impact of synoptic circulations on ozone variations in North China from April–October 2013–2017

Jingda Liu, Lili Wang, Mingge Li, Zhiheng Liao, Yang Sun, Tao Song, Wenkang Gao, Yonghong Wang, Yan Li, Dongsheng Ji, Bo Hu, Veli-Matti Kerminen (+2 others)
2019 Atmospheric Chemistry and Physics Discussions  
</strong> The ozone variation characteristics and the impact of synoptic and local meteorological factors in North China were analysed quantitively during the warm season from 2013 to 2017 based on multi-city  ...  Overall, 43&amp;ndash;64&amp;thinsp;% of the day-to-day variability of MDA8 O<sub>3</sub> concentrations was due to local meteorological variations in most cities over North China, except for QHD~32&amp  ...  Therefore, as discussed in Section 3.2.2, high temperatures and southerly winds 355 are the main factors contributing to increased ozone concentrations in North China from a regional 356 perspective.  ... 
doi:10.5194/acp-2019-485 fatcat:zotlk46iqfb3hiazazlaktetsu

Tracking Sustainable Restoration in Agro-Pastoral Ecotone of Northwest China

Lixiao Yang, Stéphanie Horion, Chansheng He, Rasmus Fensholt
2021 Remote Sensing  
Anthropogenic activity was found to be the major driving factor of variation in vegetation (contribution rate of 56%) and soil moisture (contribution rate of 78%).  ...  China (APENC) for 2000–2015.  ...  We are grateful to the members of the Center for Dryland Water Resources Research and Watershed Science, Lanzhou University for their hard field work in instrument installation, data collection and laboratory  ... 
doi:10.3390/rs13245031 fatcat:jr77hraljvfb7l54yyjnzxvea4

Impacts of Land-Use Changes on Soil Erosion in Water–Wind Crisscross Erosion Region of China

Jie Wang, Weiwei Zhang, Zengxiang Zhang
2019 Remote Sensing  
but the trend is declining from the late 1990s to the late 2000s; (4) the soil conservation capability of land-use types in water–wind crisscross erosion regions could be compiled from high to low as  ...  This study investigates the spatial–temporal dynamics of land-use change and soil erosion across a specific area in China with water–wind crisscross erosion during three periods: 1995–1999, 2000–2005,  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.3390/rs11141732 fatcat:5s4mlhqaz5cavckctvmehcuovu

Comparing Decoupling and Driving Forces of CO2 Emissions in China and India

Ziheng Jiao, Zhencheng Xing, Guofeng Zhang, Xiaolin Ma, Haikun Wang
2022 Frontiers in Environmental Science  
Quantitating their CO2 emissions in terms of the characteristics and driving factors is highly significant to mitigating global climate change.  ...  In contrast, the contribution of India's economy to emissions continued to increase, and the decoupling status showed continuous fluctuations. 3) Economic development and population explosion were the  ...  became the third-largest emitter in 2009 (behind China and the United States), contributing 7% of global fossil CO 2 emissions in 2019 (Friedlingstein et al., 2020) .  ... 
doi:10.3389/fenvs.2022.847062 fatcat:iwllish7o5chvilnrag2timyky

The Influence of Large-Scale Environment on the Extremely Active Tropical Cyclone Activity in November 2019 over the Western North Pacific

Mengying Shi, Sulei Wang, Xiaoxu Qi, Haikun Zhao, Yu Shu
2021 Atmosphere  
of large-scale environmental factors to the change in TC genesis frequency.  ...  Changes in these large-scale environmental factors are possibly related to sea surface temperature anomalies over the Pacific (e.g., strong Pacific meridional mode).  ...  Acknowledgments: The authors acknowledge Emanuel for providing code of MPI in the calculation of ENGPI. Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/atmos12040501 fatcat:loitgfuo65amnaklcp2ocydmwa

Wind speed in spring dominated the decrease in wind erosion across the Horqin Sandy Land in northern China

Hanbing Zhang, Jian Peng, Chaonan Zhao, Zihan Xu, Jianquan Dong, Yang Gao
2021 Ecological Indicators  
The spatiotemporal dynamics of wind erosion and its driving factors were explored in this study by using the Revised Wind Erosion Equation to evaluate wind erosion in the Horqin Sandy Land from 2001 to  ...  The main reasons for the decrease in wind erosion were the reduction in wind speed and the restoration of vegetation, with the contribution of − 55.78% and − 42.68%, respectively.  ...  Acknowledgement This study was financially supported by the National Key Research and Development Program of China (No. 2017YFA0604704).  ... 
doi:10.1016/j.ecolind.2021.107599 fatcat:zjhncyla5vht7is6kh26jnjqcm

Investigating the Transport Mechanism of PM2.5 Pollution during January 2014 in Wuhan, Central China

Miaomiao Lu, Xiao Tang, Zifa Wang, Lin Wu, Xueshun Chen, Shengwen Liang, Hui Zhou, Huangjian Wu, Ke Hu, Longjiao Shen, Jia Yu, Jiang Zhu
2019 Advances in Atmospheric Sciences  
The long-range transport of the polluted air masses from the North China Plain (NCP) was the main factor leading to the sharp increases of PM 2.5 concentrations in Wuhan, which contributed 53.4% of the  ...  The factors leading to Wuhan's PM 2.5 pollution and the characteristics and formation mechanism were found to be significantly different from other megacities, like Beijing.  ...  The authors express their utmost gratitude to the NCAR for providing important biomass burning emissions data (FINNv1).  ... 
doi:10.1007/s00376-019-8260-5 fatcat:ttyumesgrnbqlde4svjubd6que

Factors Influencing PM2.5 Concentrations in the Beijing–Tianjin–Hebei Urban Agglomeration Using a Geographical and Temporal Weighted Regression Model

Qiuying Li, Xiaochun Li, Hongtao Li
2022 Atmosphere  
This study reveals the temporal evolution and spatial clustering characteristic of PM2.5 pollution from 2015 to 2019, and quantifies the drivers of its natural and socioeconomic factors on it by using  ...  Air pollution is the environmental issue of greatest concern in China, especially the PM2.5 pollution in the Beijing–Tianjin–Hebei urban agglomeration (BTHUA).  ...  This paper presents the changes in PM 2.5 concentration characteristics and the spatial variations in the key driving factors of PM 2.5 in the BTHUA from 2015 to 2019.  ... 
doi:10.3390/atmos13030407 doaj:2ba87a87c0964cbba9080340cddb2f62 fatcat:hqljncxhajh27bkrabvgsn5gh4

Effect of the Type of Wind Data on Regional Potential Wind Erosion Estimation

Li Zhang, Zhongling Guo, Jifeng Li, Chunping Chang, Rende Wang, Qing Li
2022 Frontiers in Environmental Science  
In this study, the Revised Wind Erosion Equation (RWEQ) and the Integrated Wind Erosion Modeling System (IWEMS) were used to evaluate the regional potential wind erosion in the Agro-Pastoral Ecotone of  ...  To date, no studies have been conducted to assess the impact of the type of wind data on regional wind erosion estimation.  ...  FUNDING This research was funded by the National Science Foundation of China (41877066, 41901001), Natural Science Foundation of Hebei Province (D2018205192, D2018205212), and Young Talents Foundation  ... 
doi:10.3389/fenvs.2022.847128 fatcat:7mb3jpdxc5fqvaqihlpxlzxatq
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