Shaanxi Engineering Laboratory for Transmissions and Controls

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An Evaluation of River Health for the Weihe River in Shaanxi Province, China by Jinxi Song, Dandong Cheng, Qi Li, Xingjun He, Yongqing Long, Bo Zhang

“…Based on the connotation of river health, previous research findings, and status quo of the Weihe River ecosystem, in this study, we developed a novel health evaluation index system to quantitatively determine the health of the Weihe River in Shaanxi Province. The river in the study area was divided into five reaches based on the five hydrological gauging stations, and appropriate evaluation indices for each river section were selected according to the ecological environmental functions of that section. …”
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Adsorption Behaviors of Oxytetracycline onto Sediment in the Weihe River, Shaanxi, China by Dong-Hui Cheng, Sheng-Ke Yang, Yue Zhao, Jing Chen

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An End-To-End Speech Recognition Model for the North Shaanxi Dialect: Design and Evaluation by Yi Qin, Feifan Yu

“…The coal mining industry in Northern Shaanxi is robust, with a prevalent use of the local dialect, known as “Shapu”, characterized by a distinct Northern Shaanxi accent. …”
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Optimization Analysis of Settlement Parameters for Postgrouting Piles in Loess Area of Shaanxi, China by Zhijun Zhou, Shanshan Zhu, Xiang Kong, Jiangtao Lei, Tong Liu

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The environmental health literacy level was effectively improved of residents in Shaanxi Province, China, 2022 by Feidan Deng, Feidan Deng, Feidan Deng, Xinyue Wen, Xinyue Wen, Guoqiang Dong, Guoqiang Dong, Guoqiang Dong, Xining Wang, Xining Wang, Huifang He, Huifang He, Ruixuan Zhu, Lichun Qiao, Lichun Qiao, Jing Han, Jing Han, Jing Han

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Construction and Application of Grid-Xin'anjiang Model Within Daheba Watershed in Shaanxi Province by HE Chengmin, GU Zhao

“…Taking Daheba watershed,the tributary of Hanjiang River in Shaanxi Province as the study area,this paper constructs the Grid-Xin'anjiang model through DEM (Digital Elevation Model) data analysis and geomorphic feature parameter extraction,applies it to simulate and analyze the runoff process of the watershed and the dynamic changes of spatial distribution of free water content,and carries out the flood simulation verification by the measured data of 7 flood in the special hydrological station of Daheba from 2011 to 2014 to verify the reliability of the constructed Grid-Xin'anjiang model.The results show that the simulation error of peak discharge can be controlled below 20% basically,the error of peak time is within 3 h,and the uncertainty coefficient is above 0.78,which indicating that the Grid-Xin'anjiang model can satisfactorily simulate the flood processes within Daheba watershed of Shaanxi Province.At the same time,taking the rainfall runoff process on July 16,2013 and July 25,2013 as an example,it analyzes the dynamic change of spatial distribution of free water content.As a result,combined with the physical meaning of free water content,the development of rainfall process and the evaluation of flood process precision at the outlet of the watershed,it can be concluded that the Grid-Xin'anjiang model can simulate the dynamic distribution of free water content accurately.…”
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Study on Prediction Method for Postconstruction Settlement of Loess Fill Foundation in Northern Shaanxi, China by Kui Liu, Kangze Yuan, Boyi Shi

“…In order to solve the problem of shortage of construction land in the loess hilly and gully area of northern Shaanxi, the local people usually adopted the method of excavating and filling. …”
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Experimental Study on Cracking Behavior and Mechanism in Desiccating Soils in Xi’an, Shaanxi Province, China by Xin Wei, Chongyang Gao, Dongdong Yan, Ke Liu

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Study on the Loess Immersion Test of Metro Line 2 in Xi’an, Shaanxi Province, China by Yuanjun Xu, Jiading Wang, Tianfeng Gu, Dengfei Zhang, Weiqian Ma

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Quantitative Research and Characterization of the Loess Microstructure in the Bai Lu Tableland, Shaanxi Province, China by Longsheng Deng, Wen Fan, Shaopeng Liu, Yupeng Chang, Yan Dai, Yubo Li

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Projected Changes in Precipitation Extremes over Shaanxi Province, China, in the 21st Century by Ling Li, Ziniu Xiao, Shuxiang Luo, Aili Yang

“…Basic validation of the model performance was carried out, and six extreme precipitation indices (EPIs) were used to assess the intensity and frequency of the extreme precipitation events over Shaanxi Province. The results show that RegCM4 reproduces the observed characteristics of extreme precipitation events over Shaanxi Province well. …”
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Risk Evaluation of Multi-objective Dispatching Scheme for Shaanxi Hanjiang-to-Weihe River Diversion Project by GAO Chen, REN Mengzhi, LIU Dengfeng, HUANG Qiang

“…Hanjiang-to-Weihe River Diversion Project in Shanxi Province is aninter-basin water diversion project to solve the water shortage in Guanzhong andnorthern Shaanxi provinces. In order to give full play to the benefits of theproject, it is necessary to evaluate the risk of reservoir group operation scheme.Under two operation modes for giving priority to water supply for the HuangjinxiaReservoir and the Sanhekou Reservoir, this paper establishes the risk evaluationindex system of multi-objective operation of Hanjiang-to-Weihe Diversion Projectbased on the objective of operation, assigns the weight to each index by AHP, andobtains the risk value of each operation scheme by TOPSIS (Technique for OrderPreference by Similarity to Ideal Solution) method, which provides technicalsupport for the final decision. …”
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Corrigendum to “Projected Changes in Precipitation Extremes over Shaanxi Province, China, in the 21st Century” by Ling Li, Ziniu Xiao, Shuxiang Luo, Aili Yang

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Vegetation Quality Assessment of the Shaanxi Section of the Yellow River Basin Based on NDVI and Rain-Use Efficiency by Zhao Liu, Danyue Wang, Lei Han, Hongliang Kang, Xinxin Cao

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Mechanical Interpretation of Effects of Aeolian FineSands on Coal Fly Ash in Northern Shaanxi Province, China by Xin Wei, Chongyang Gao, Keyu Ai, Jun Zhao, Ling Xu

“…These findings would be useful for the treatment of CFA, which is significant for solving environmental problems in northern Shaanxi Province.…”
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Coinfection of avian hepatitis E virus and different serotypes of fowl adenovirus in chicken flocks in Shaanxi, China by Yuan Zhang, Huanyu Xu, Yinuo Tian, Jirong Tang, Huanqing Lin, Yani Sun, Qin Zhao, En-Min Zhou, Yiyang Chen, Baoyuan Liu

“…From July to September 2023, eight poultry farms of commercial broilers and commercial layers suffered from increased mortality, decreased egg production, and the presence of hydropericardium-hepatitis syndrome-like gross lesions in Shaanxi province, China. To determine the source of the infection, the viruses of aHEV, FAdV, avian leukosis virus (ALV), Marek’s disease virus (MDV), Newcastle disease virus (NDV), and H9N2 avian influenza virus (AIV) were detected. …”
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Data-Driven-Based Attribution of Runoff Changes in Tuwei River Basin in the Northern Windy-Sandy Region of Shaanxi by YU Huanghao, LI Binquan

“…The key point in analyzing the attribution of runoff changes is whether the natural runoff process of the basin can be accurately simulated.However,the application accuracy of hydrological models in arid and semi-arid regions of the Loess Plateau is generally not high.Taking the Tuwei River basin in the northern windy-sandy region of Shaanxi in the middle reach of the Yellow River as an example,this paper proposed an improved natural runoff simulation method based on the data-driven approach,so as to quantitatively analyze the effects of climate changes and human activities on runoff changes in the Tuwei River basin.The results show that the annual runoff series in the basin decreased significantly from 1961 to 2015,and there were two abrupt changes in 1979 and 1996,respectively.The annual runoff of the two periods (1980—1996 and 1997—2015) is 25.8% and 47.1% lower than that of the natural period (1961—1979),respectively.The runoff simulation accuracy of the three data-driven methods after improvement rises significantly.Specifically,the improved method proposed by Zhao Wenlin has the highest accuracy,and the Nash-Sutcliffe efficiency coefficient of annual runoff simulation in the natural period is 0.77.Climate change is the main reason for the significant decrease in the runoff between 1980 and 1996 (with a contribution of up to 80.9%).However,from 1997 to 2015,the contribution of climate change and human activities to the decrease in the runoff changed,with the influence of human activities increasing to a proportion of 58.8%.…”
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Retracted: Evaluation of High-Quality Development of Shaanxi’s Economy Based on Digital Economy Based on Machine Learning Algorithm by International Transactions on Electrical Energy Systems

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Dynamics of Cropland Non-Agriculturalization in Shaanxi Province of China and Its Attribution Using a Machine Learning Approach by Huiting Yan, Hao Chen, Fei Wang, Linjing Qiu

“…This study investigated the spatiotemporal dynamics and driving mechanisms of CLNA in Shaanxi Province (SP), a major grain-producing region in China, from 2001 to 2020, using geospatial statistical analysis and machine learning techniques. …”
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