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Xiaoling Chen
Key Laboratory for Animal Disease-Resistance Nutrition of China Ministry of Education, Institute of Animal Nutrition, Sichuan Agricultural University, Chengdu, Sichuan 611130, P. R. China

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Worked at State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, Wuhan University, China

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Journal article
Published: 24 June 2021 in Nutrition Research
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A large number of studies have shown that polyphenols can regulate skeletal muscle fiber type transformation through AMPK signal. However, the effects and its mechanism of naringin (a natural polyphenol) on the muscle fiber type transformation still remain unclear. Thus, we hypothesized that naringin induce the transformation of skeletal muscle fibers from type II to type I by AMPK signaling. C2C12 myotubes and BALB/c mice models were used to test this hypothesis. We found that naringin significantly increased the protein expressions of slow myosin heavy chain (MyHC), myoglobin and troponin I type I slow skeletal (Troponin I-SS) and the activities of succinate dehydrogenase (SDH) and malate dehydrogenase (MDH), and significantly decreased fast MyHC protein expression and lactate dehydrogenase (LDH) activity, accompanied by the activation of AMPK and the activity of peroxisome proliferator activated receptor-γ coactivator-1α (PGC-1α) in mice and C2C12 myotubes. Further inhibition of AMPK activity by compound C showed that the above effects were significantly inhibited in C2C12 myotubes. In conclusion, our study shows that naringin promotes the transformation of skeletal muscle fibers from type II to type I through AMPK/PGC-1α signaling pathway, which not only enriches the nutritional and physiological functions of naringin, but also provides a theoretical basis for the regulation of muscle fiber type transformation by nutritional means.

ACS Style

Yonghong Xue; Zhiqing Huang; Xiaoling Chen; Gang Jia; Hua Zhao; Guangmang Liu. Naringin induces skeletal muscle fiber type transformation via AMPK/PGC-1α signaling pathway in mice and C2C12 myotubes. Nutrition Research 2021, 92, 99 -108.

AMA Style

Yonghong Xue, Zhiqing Huang, Xiaoling Chen, Gang Jia, Hua Zhao, Guangmang Liu. Naringin induces skeletal muscle fiber type transformation via AMPK/PGC-1α signaling pathway in mice and C2C12 myotubes. Nutrition Research. 2021; 92 ():99-108.

Chicago/Turabian Style

Yonghong Xue; Zhiqing Huang; Xiaoling Chen; Gang Jia; Hua Zhao; Guangmang Liu. 2021. "Naringin induces skeletal muscle fiber type transformation via AMPK/PGC-1α signaling pathway in mice and C2C12 myotubes." Nutrition Research 92, no. : 99-108.

Journal article
Published: 14 May 2021 in Water
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In recent years, the rapid development of the population, agriculture, and tourism around Erhai Lake has caused increasing environmental problems, which have seriously affected the ecological status of the lake. This study analyzed changes in water volume and quality in Erhai Lake, based on statistical data from 2000 to 2019, combined with climate, land-use type, and socioeconomic data, as well as the influencing factors of water environmental changes in the Erhai Lake basin. The main conclusions include: the water storage of Erhai Lake increased by 3.8 × 106 m3 year−1, from 2000 to 2019. The monthly variation in water volume showed a trend of first decreasing and then increasing, in which it increased from August to December and decreased from January to July. The change in water volume was mainly affected by climate factors. From 2000 to 2019, the nitrogen concentration in Erhai Lake showed an increasing trend, and the changes in water quality were closely related to human activities. In the northern part of the basin, agricultural nonpoint source pollution was the main factor affecting water quality, while in the southern part of the basin, economic development, accelerated urbanization, and tourism were the main factors affecting water quality.

ACS Style

Liang Zheng; Zeyu An; Xiaoling Chen; Hai Liu. Changes in Water Environment in Erhai Lake and Its Influencing Factors. Water 2021, 13, 1362 .

AMA Style

Liang Zheng, Zeyu An, Xiaoling Chen, Hai Liu. Changes in Water Environment in Erhai Lake and Its Influencing Factors. Water. 2021; 13 (10):1362.

Chicago/Turabian Style

Liang Zheng; Zeyu An; Xiaoling Chen; Hai Liu. 2021. "Changes in Water Environment in Erhai Lake and Its Influencing Factors." Water 13, no. 10: 1362.

Journal article
Published: 08 May 2021 in Water
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To improve knowledge of this matter, the potential application of two gridded meteorological products (GMPs), the China Meteorological Assimilation Driving Datasets for the SWAT model (CMADS) and Climate Forecast System Reanalysis (CFSR), are compared for the first time with data from ground-based meteorological stations over 6 years, from 2008 to 2013, over the Cau River basin (CRB), northern Vietnam. Statistical indicators and the Soil and Water Assessment Tool (SWAT) model are employed to investigate the hydrological performances of the GMPs against the data of 17 rain gauges distributed across the CRB. The results show that there are strong correlations between the temperature reanalysis products in both CMADS and CFSR and those obtained from the ground-based observations (the correlation coefficients range from 0.92 to 0.97). The CFSR data overestimate precipitation (percentage bias approximately 99%) at both daily and monthly scales, whereas the CMADS product performs better, with obvious differences (compared to the ground-based observations) in high-terrain areas. Regarding the simulated river flows, CFSR-SWAT produced “unsatisfactory”, while CMADS-SWAT (R2 > 0.76 and NSE > 0.78) performs better than CFSR-SWAT on the monthly scale. This assessment of the applicative potential of GMPs, especially CMADS, may further provide an additional rapid alternative for water resource research and management in basins with similar hydro-meteorological conditions.

ACS Style

Duy Dao; Jianzhong Lu; Xiaoling Chen; Sameh Kantoush; Doan Binh; Phamchimai Phan; Nguyen Tung. Predicting Tropical Monsoon Hydrology Using CFSR and CMADS Data over the Cau River Basin in Vietnam. Water 2021, 13, 1314 .

AMA Style

Duy Dao, Jianzhong Lu, Xiaoling Chen, Sameh Kantoush, Doan Binh, Phamchimai Phan, Nguyen Tung. Predicting Tropical Monsoon Hydrology Using CFSR and CMADS Data over the Cau River Basin in Vietnam. Water. 2021; 13 (9):1314.

Chicago/Turabian Style

Duy Dao; Jianzhong Lu; Xiaoling Chen; Sameh Kantoush; Doan Binh; Phamchimai Phan; Nguyen Tung. 2021. "Predicting Tropical Monsoon Hydrology Using CFSR and CMADS Data over the Cau River Basin in Vietnam." Water 13, no. 9: 1314.

Original article
Published: 27 April 2021 in Engineering with Computers
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Liquefaction has caused many catastrophes during earthquakes in the past. When an earthquake is occurring, saturated granular soils may be subjected to the liquefaction phenomenon that can result in significant hazards. Therefore, a valid and reliable prediction of soil liquefaction potential is of high importance, especially when designing civil engineering projects. This study developed the least squares support vector machine (LSSVM) and radial basis function neural network (RBFNN) in combination with the optimization algorithms, i.e., the grey wolves optimization (GWO), differential evolution (DE), and genetic algorithm (GA) to predict the soil liquefaction potential. Afterwards, statistical scores such as root mean square error were applied to evaluate the developed models. The computational results showed that the proposed RBFNN-GWO and LSSVM-GWO, with Coefficient of Determination (R2) = 1 and Root Mean Square Error (RMSE) = 0, produced better results than other models proposed previously in the literature for the prediction of the soil liquefaction potential. It is an efficient and effective alternative for the soil liquefaction potential prediction. Furthermore, the results of this study confirmed the effectiveness of the GWO algorithm in training the RBFNN and LSSVM models. According to sensitivity analysis results, the cyclic stress ratio was also found as the most effective parameter on the soil liquefaction in the studied case.

ACS Style

Mingxiang Cai; Ouaer Hocine; Ahmed Salih Mohammed; Xiaoling Chen; Menad Nait Amar; Mahdi Hasanipanah. Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential. Engineering with Computers 2021, 1 -13.

AMA Style

Mingxiang Cai, Ouaer Hocine, Ahmed Salih Mohammed, Xiaoling Chen, Menad Nait Amar, Mahdi Hasanipanah. Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential. Engineering with Computers. 2021; ():1-13.

Chicago/Turabian Style

Mingxiang Cai; Ouaer Hocine; Ahmed Salih Mohammed; Xiaoling Chen; Menad Nait Amar; Mahdi Hasanipanah. 2021. "Integrating the LSSVM and RBFNN models with three optimization algorithms to predict the soil liquefaction potential." Engineering with Computers , no. : 1-13.

Article
Published: 11 March 2021 in Animal Biotechnology
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Leucine can promote slow-twitch muscle fibers formation, and this effect may be mediated by AMPK signaling pathway. In addition, adiponectin (AdipoQ) plays an important role in regulation of muscle fiber type transformation. AdipoQ is located in the upstream of AMPK and its secretion can be regulated by leucine. Therefore, the aim of this study was to explore whether leucine affects muscle fiber type transformation through AdipoQ signaling pathway. Our data showed that 4 mM leucine significantly increased protein expression levels of slow MyHC, Myoglobin, Troponin I-SS, AdipoQ, AdipoR1, phospho-AMPK (p-AMPK) and PGC-1α and mRNA expression levels of AMPKα2, PGC-1α, AdipoQ and AdipoR1, and significantly decreased fast MyHC protein expression. In addition, 4 mM leucine significantly increased the SDH activity while significantly decreased the LDH activity. However, knockdown of AdipoR1 expression by AdipoR1-siRNA abolished leucine-induced upregulation of protein expressions of slow MyHC, AdipoR1, p-AMPK, PGC-1α and NRF1, mRNA expressions of MyHC I, MyHC IIa, AdipoR1, AMPKα2 and PGC-1α, ATP5G, TFAM and NRF1, and mtDNA level, as well as downregulation of protein expression of fast MyHC and mRNA expression of MyHC IIb. Together, our data revealed that leucine promotes muscle fiber type transformation from fast-twitch to slow-twitch through AdipoQ signaling pathway.

ACS Style

Lu Xiang; Zhiqing Huang; Xiaoling Chen; Gang Jia; Guangmang Liu; Hua Zhao. Leucine regulates porcine muscle fiber type transformation via adiponectin signaling pathway. Animal Biotechnology 2021, 1 -9.

AMA Style

Lu Xiang, Zhiqing Huang, Xiaoling Chen, Gang Jia, Guangmang Liu, Hua Zhao. Leucine regulates porcine muscle fiber type transformation via adiponectin signaling pathway. Animal Biotechnology. 2021; ():1-9.

Chicago/Turabian Style

Lu Xiang; Zhiqing Huang; Xiaoling Chen; Gang Jia; Guangmang Liu; Hua Zhao. 2021. "Leucine regulates porcine muscle fiber type transformation via adiponectin signaling pathway." Animal Biotechnology , no. : 1-9.

Journal article
Published: 24 December 2020 in Science of The Total Environment
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Himawari-8 aerosol products have been widely used to estimate the near-surface hourly PM2.5 concentrations due to the high temporal resolution. However, most studies focus on the evaluation model. As the foundation of the estimation, the relationship between near-surface PM2.5 and columnar aerosol optical depth (AOD) has not been comprehensively investigated. In this study, we investigate the relationship between PM2.5 and advanced Himawari imager (AHI) AOD for 2016–2018 across mainland China on different spatial and temporal scales and the factors affecting the association. We calculated the Pearson correlation coefficients and the PM2.5/AOD ratio as the analysis indicators in 345 cities and 14 urban agglomerations based on the collocations of PM2.5 and AHI AOD. From 9:00 to 17:00 local time, the PM2.5-AOD correlation become significantly stronger while The PM2.5/AOD ratio markedly decrease in Beijing-Tianjin-Hebei, Yangtze River Delta, and Chengyu regions. The strongest correlation is between 12:00 and 14:00 LT (at noon) and between 13:00 and 17:00 LT (afternoon), respectively. The ratio in a day shows an obvious unimodal mode, and the peak occurred at around 10:00 or 11:00 LT, especially in autumn and winter. There is a pronounced variation of the PM2.5-AOD relationship in a week during the winter. Moreover, there are the strongest correlation and the largest ratio for most urban agglomerations during the winter. We also find that PM2.5 and AOD are not always correlated under different meteorological conditions and precursor concentrations. Furthermore, for the scattering-dominated fine-mode aerosol, there is a high correlation and a low ratio between PM2.5 and AOD. The correlation between PM2.5 and AHI AOD significantly increases with increasing the number of AOD retrievals on a day. The findings will provide meaningful information and important implications for satellite retrieval of hourly PM2.5 concentration and its exposure estimation in China, especially in some urban agglomerations.

ACS Style

Qiangqiang Xu; Xiaoling Chen; Shangbo Yang; Linling Tang; Jiadan Dong. Spatiotemporal relationship between Himawari-8 hourly columnar aerosol optical depth (AOD) and ground-level PM2.5 mass concentration in mainland China. Science of The Total Environment 2020, 765, 144241 .

AMA Style

Qiangqiang Xu, Xiaoling Chen, Shangbo Yang, Linling Tang, Jiadan Dong. Spatiotemporal relationship between Himawari-8 hourly columnar aerosol optical depth (AOD) and ground-level PM2.5 mass concentration in mainland China. Science of The Total Environment. 2020; 765 ():144241.

Chicago/Turabian Style

Qiangqiang Xu; Xiaoling Chen; Shangbo Yang; Linling Tang; Jiadan Dong. 2020. "Spatiotemporal relationship between Himawari-8 hourly columnar aerosol optical depth (AOD) and ground-level PM2.5 mass concentration in mainland China." Science of The Total Environment 765, no. : 144241.

Journal article
Published: 12 December 2020 in Nutrients
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Ferulic acid (FA) is a phenolic compound that has antioxidant, hepatoprotective, anticarcinogenic, anti-inflammatory, antiallergic, antimicrobial, antiviral, and vasodilatory effects. This study was conducted to explore the effects of dietary FA supplementation on antioxidant capacity and lipid metabolism in weaned piglets. Eighteen 21-day-old castrated male DLY (Duroc × Landrace × Yorkshire) weaned piglets were randomly divided into control, 0.05%, and 0.45% FA groups. The results showed that, in serum, CAT and T-SOD activities and content of HDL-C were increased, but the content of MDA and the activities of T-CHO and LDL-C were decreased, by FA supplementation. In liver, dietary FA supplementation increased CAT, T-SOD, and GSH-PX activities and upregulated the mRNA levels of SOD1, SOD2, CAT, GST, GPX1, GR, Nrf2, HSL, CPT1b, and PPARα but decreased the contents of MDA and TG. Furthermore, dietary FA supplementation increased the protein level of Nrf2, HO-1, and NQO-1. In longissimus dorsi muscle, dietary FA supplementation increased the activity of T-SOD and the mRNA abundance of SOD1, SOD2, CAT, GST, GPX1, GR, and Nrf2 but decreased the contents of MDA and T-CHO. Additionally, dietary FA supplementation increased the protein expressions of Nrf2, HO-1, and NQO1. Together, our data suggest that FA could improve antioxidant capacity and lipid metabolism in weaned piglets.

ACS Style

Youxia Wang; Xiaoling Chen; Zhiqing Huang; Daiwen Chen; Bing Yu; Jie Yu; Hong Chen; Jun He; Yuheng Luo; Ping Zheng. Dietary Ferulic Acid Supplementation Improves Antioxidant Capacity and Lipid Metabolism in Weaned Piglets. Nutrients 2020, 12, 3811 .

AMA Style

Youxia Wang, Xiaoling Chen, Zhiqing Huang, Daiwen Chen, Bing Yu, Jie Yu, Hong Chen, Jun He, Yuheng Luo, Ping Zheng. Dietary Ferulic Acid Supplementation Improves Antioxidant Capacity and Lipid Metabolism in Weaned Piglets. Nutrients. 2020; 12 (12):3811.

Chicago/Turabian Style

Youxia Wang; Xiaoling Chen; Zhiqing Huang; Daiwen Chen; Bing Yu; Jie Yu; Hong Chen; Jun He; Yuheng Luo; Ping Zheng. 2020. "Dietary Ferulic Acid Supplementation Improves Antioxidant Capacity and Lipid Metabolism in Weaned Piglets." Nutrients 12, no. 12: 3811.

Journal article
Published: 20 August 2020 in Water
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Changes in rainfall play an important role in agricultural production, water supply and management, and social and economic development in arid and semi-arid regions. The objective of this study was to examine the trend of rainfall series from 18 meteorological stations for monthly, seasonal, and annual scales in Shanxi province over the period 1957–2019. The Mann–Kendall (MK) test, Spearman’s Rho (SR) test, and the Revised Mann–Kendall (RMK) test were used to identify the trends. Sen’s slope estimator (SSE) was used to estimate the magnitude of the rainfall trend. An autocorrelation function (ACF) plot was used to examine the autocorrelation coefficients at various lags in order to improve the trend analysis by the application of the RMK test. The results indicate remarkable differences with positive and negative trends (significant or non-significant) depending on stations. The largest number of stations showing decreasing trends occurred in March, with 10 out of 18 stations at the 10%, 5%, and 1% levels. Wutai Shan station has strong negative trends in January, March, April, November, and December at the level of 1%. In addition, Wutai Shan station also experienced a significant decreasing trend over four seasons at a significance level of 1% and 10%. On the annual scale, there was no significant trend detected by the three identification methods for most stations. MK and SR tests have similar power for detecting monotonic trends in rainfall time series data. Although similar results were obtained by the MK/SR and RMK tests in this study, in some cases, unreasonable trends may be provided by the RMK test. The findings of this study could benefit agricultural production activities, water supply and management, drought monitoring, and socioeconomic development in Shanxi province in the future.

ACS Style

Feng Gao; Yunpeng Wang; Xiaoling Chen; Wenfu Yang. Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957–2019). Water 2020, 12, 2335 .

AMA Style

Feng Gao, Yunpeng Wang, Xiaoling Chen, Wenfu Yang. Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957–2019). Water. 2020; 12 (9):2335.

Chicago/Turabian Style

Feng Gao; Yunpeng Wang; Xiaoling Chen; Wenfu Yang. 2020. "Trend Analysis of Rainfall Time Series in Shanxi Province, Northern China (1957–2019)." Water 12, no. 9: 2335.

Journal article
Published: 18 June 2020 in Animals
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Although water is one of the most important nutrients and is essential for various physiological processes within the body, it does not receive adequate consideration when ensuring optimal nutrition and growth performance in piglets. This study was conducted to investigate the effects of drinking water temperature (DWT) and flow rate (DWF) on growth performance, nutrient digestibility and cecum microflora in weaned piglets during cold weather. Sixty-four piglets with an average body weight of 8.60 ± 0.5 kg were allotted into four groups with four replicates in each group and four pigs in each replicate. The DWT and DWF were set for each group as follows: (1) 13 °C + 300 mL/min, (2) 13 °C + 700 mL/min, (3) 30 °C + 300 mL/min and (4) 30 °C + 700 mL/min, respectively. All groups were fed the same diet during the 28 d trial. The body weight at day 0 and day 29, as well as daily feed intake, were recorded. Diarrhea severity was assessed every day. Fresh fecal samples were collected for four consecutive days at the end of the experiment for the digestibility test. Cecum content was collected after sacrifice for microbial composition analysis. The results indicated that: (1) DWT at 30 °C promoted the average daily gain (ADG) of weaned piglets considerably (p = 0.043) and decreased feed to weight ratio when compared with DWT at 13 °C (p = 0.045). DWF had no substantial effect on the growth performance of piglets (p > 0.05). (2) The 30 °C DWT groups had higher apparent digestibility of crude protein, crude fat and energy than the 13 °C DWT groups (p < 0.05), while DWF had no significant effect on the apparent digestibility of nutrients (p > 0.05). (3) DWT at 30 °C increased the Bacteroidetes abundance and decreased the Proteobacteria abundance in cecum digesta. The change in these two factors may be related to a decrease in diarrhea and the improvement of growth performance. Different DWF had no substantial effect on the cecum microbial structure. To sum up, providing a DWT of 30 °C to weaned piglets in cold weather reduced the abundance of harmful bacteria in the cecum and improved the apparent nutrient digestibility, which is beneficial for maintaining a healthy intestinal microenvironment and promoting growth performance. A lower DWF of 300 mL/min had no adverse effect on growth performance. Therefore, a combination of 30 °C + 300 mL/min is recommended for weaned piglets during cold weather for the consideration of animal welfare and production efficiency.

ACS Style

Zhenyu Zhang; Zeqiang Li; Hua Zhao; Xiaoling Chen; Gang Tian; Guangmang Liu; Jingyi Cai; Gang Jia. Effects of Drinking Water Temperature and Flow Rate during Cold Season on Growth Performance, Nutrient Digestibility and Cecum Microflora of Weaned Piglets. Animals 2020, 10, 1 .

AMA Style

Zhenyu Zhang, Zeqiang Li, Hua Zhao, Xiaoling Chen, Gang Tian, Guangmang Liu, Jingyi Cai, Gang Jia. Effects of Drinking Water Temperature and Flow Rate during Cold Season on Growth Performance, Nutrient Digestibility and Cecum Microflora of Weaned Piglets. Animals. 2020; 10 (6):1.

Chicago/Turabian Style

Zhenyu Zhang; Zeqiang Li; Hua Zhao; Xiaoling Chen; Gang Tian; Guangmang Liu; Jingyi Cai; Gang Jia. 2020. "Effects of Drinking Water Temperature and Flow Rate during Cold Season on Growth Performance, Nutrient Digestibility and Cecum Microflora of Weaned Piglets." Animals 10, no. 6: 1.

Accepted manuscript
Published: 17 June 2020 in Environmental Research Letters
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Environmental changes induced by ongoing anthropogenic activities have caused severe lake degradation. Because of the lack of long-term records, few studies have investigated the change in Wuhan lakes, and the effect of human activities on regional lake changes prior to 1973 has not been systematically studied yet. Therefore, in this study, historical maps and Landsat images were combined to track these changes from the 1920s to 2015. Three phases could be identified over the nearly 100-year study period. The most dramatic lake reduction (−21.53 km2 yr-1) occurred during Phase II (1950s−1980s) rather than Phase III (after the 1980s), as indicated by previous studies; the decreased lake area in Phase II was almost double that in Phase III. This reduction could be attributed to major hydraulic engineering projects during Phase II based on the watershed-scale analysis. In addition, land-use conversion over the past 45 years was used to quantify the impact of human exploitation on lakes. The shrinkage of lakes was predominately driven by agricultural activities, such as reclamation (39.2%) and aquaculture development (29.0%), and urbanization was a secondary driving force (19.8%), despite the rapid economic development of Wuhan. This study therefore provides a practical guide for lake protection in other areas similar to Wuhan.

ACS Style

Jialin Wang; Xiaobin Cai; Fang Chen; Zhan Zhang; Yufang Zhang; Kun Sun; Tianhao Zhang; Xiaoling Chen. Hundred-year spatial trajectory of lake coverage changes in response to human activities over Wuhan. Environmental Research Letters 2020, 15, 094022 .

AMA Style

Jialin Wang, Xiaobin Cai, Fang Chen, Zhan Zhang, Yufang Zhang, Kun Sun, Tianhao Zhang, Xiaoling Chen. Hundred-year spatial trajectory of lake coverage changes in response to human activities over Wuhan. Environmental Research Letters. 2020; 15 (9):094022.

Chicago/Turabian Style

Jialin Wang; Xiaobin Cai; Fang Chen; Zhan Zhang; Yufang Zhang; Kun Sun; Tianhao Zhang; Xiaoling Chen. 2020. "Hundred-year spatial trajectory of lake coverage changes in response to human activities over Wuhan." Environmental Research Letters 15, no. 9: 094022.

Journal article
Published: 03 April 2020 in Atmospheric Pollution Research
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Advanced Himawari Imager (AHI) aboard Himawari-8 provides hourly Aerosol Optical Thickness (AOT) products, widely used to assimilation models and ground-level particulate matter (PM) concentration retrievals. However, the performance of AHI AOT products remains unclear under different air quality conditions. In this study, we evaluate the performance of the AHI hourly AOT products with ground-based AOT observations from four Aerosol Robotic NETwork (AERONET) sites for 2018 over Beijing under different pollution levels and aerosol types. Near-surface PM concentrations are used to categorize air quality as clean, moderate, and heavy pollution, and the aerosol types (biomass burning and urban/industrial (BMA_UIA), maritime (MA), dust (DA), mixed-type (MIXA)) are classified based on the threshold limits of AERONET aerosol properties. Overall, the AHI hourly AOT achieves good consistency with AERONET measurements in Beijing (correlation coefficient (R) = 0.78 and a root-mean-square-error (RMSE) = 0.29). Under clean conditions, the AOT successful retrieval rate is more than 80%, while it is deficient for moderate and heavy pollution. AOT for clean and moderate pollution performs better than that for heavy pollution. Moreover, AHI AOT retrievals for fine mode aerosol (BMA_UIA) are in good agreement with AERONET observations, and the performance is better than that under coarse mode aerosol (MA and DA) conditions. AHI AOT may capture the spatiotemporal distribution of fine particles pollution over Beijing. These findings will provide useful information for the improvement of the aerosol model of the retrieval algorithm and the monitoring of urban fine particles pollution.

ACS Style

Qiangqiang Xu; Xiaoling Chen; Jian Li; Kun Sun; Tianhao Zhang; Shangbo Yang; Linling Tang; Jiadan Dong. Impact of environmental pollution on the retrieval of hourly aerosol products from Advanced Himawari Imager (AHI) over Beijing. Atmospheric Pollution Research 2020, 11, 1 .

AMA Style

Qiangqiang Xu, Xiaoling Chen, Jian Li, Kun Sun, Tianhao Zhang, Shangbo Yang, Linling Tang, Jiadan Dong. Impact of environmental pollution on the retrieval of hourly aerosol products from Advanced Himawari Imager (AHI) over Beijing. Atmospheric Pollution Research. 2020; 11 (7):1.

Chicago/Turabian Style

Qiangqiang Xu; Xiaoling Chen; Jian Li; Kun Sun; Tianhao Zhang; Shangbo Yang; Linling Tang; Jiadan Dong. 2020. "Impact of environmental pollution on the retrieval of hourly aerosol products from Advanced Himawari Imager (AHI) over Beijing." Atmospheric Pollution Research 11, no. 7: 1.

Journal article
Published: 21 February 2020 in Remote Sensing
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In flood-prone areas, the delineation of the spatial pattern of historical flood extents, damage assessment, and flood durations allow planners to anticipate potential threats from floods and to formulate strategies to mitigate or abate these events. The Chenab plain in the Punjab region of Pakistan is particularly prone to flooding but is understudied. It experienced its worst riverine flood in recorded history in September 2014. The present study applies Remote Sensing (RS) and Geographical Information System (GIS) techniques to estimate the riverine flood extent and duration and assess the resulting damage using Landsat-8 data. The Landsat-8 images were acquired for the pre-flooding, co-flooding, and post-flooding periods for the comprehensive analysis and delineation of flood extent, damage assessment, and duration. We used supervised classification to determine land use/cover changes, and the satellite-derived modified normalized difference water index (MNDWI) to detect flooded areas and duration. The analysis permitted us to calculate flood inundation, damages to built-up areas, and agriculture, as well as the flood duration and recession. The results also reveal that the floodwaters remained in the study area for almost two months, which further affected cultivation and increased the financial cost. Our study provides an empirical basis for flood response assessment and rehabilitation efforts in future events. Thus, the integrated RS and GIS techniques with supporting datasets make substantial contributions to flood monitoring and damage assessment in Pakistan.

ACS Style

Asif Sajjad; Jianzhong Lu; Xiaoling Chen; Chikondi Chisenga; Nayyer Saleem; Hammad Hassan. Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques. Remote Sensing 2020, 12, 714 .

AMA Style

Asif Sajjad, Jianzhong Lu, Xiaoling Chen, Chikondi Chisenga, Nayyer Saleem, Hammad Hassan. Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques. Remote Sensing. 2020; 12 (4):714.

Chicago/Turabian Style

Asif Sajjad; Jianzhong Lu; Xiaoling Chen; Chikondi Chisenga; Nayyer Saleem; Hammad Hassan. 2020. "Operational Monitoring and Damage Assessment of Riverine Flood-2014 in the Lower Chenab Plain, Punjab, Pakistan, Using Remote Sensing and GIS Techniques." Remote Sensing 12, no. 4: 714.

Articles
Published: 26 December 2019 in International Journal of Remote Sensing
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The revised universal soil loss equation (RUSLE) was used to obtain the soil erosion intensity distribution in the middle and lower reaches of the Yangtze River basin (MLYB), where the input data included a digital elevation model (DEM) and Moderate Resolution Imaging Spectroradiometer (MODIS) remote sensing products. Changes in the soil erosion intensity throughout the MLYB were analysed from 2001 to 2014, and the potential influences of these changes on the local water quality of lakes and reservoirs were revealed. This investigation is the first to reveal the spatial and temporal changes in soil erosion throughout the MLYB. The results indicated that from 2001 to 2014, most of the MLYB was characterized by slight and light soil erosion levels, whereas relatively few areas exhibited intensive to severe soil erosion. Soil erosion in the MLYB displayed a decreasing trend from 2001 to 2014; over 80% of the region displayed a decreasing soil erosion intensity change rate, indicating that soil conservation in most of the MLYB has improved over the past 14 years. However, 12.8% of the area presented an increasing change rate, and the region with the maximum increasing change rate was located mainly in the lower Yangtze basin. Furthermore, spatial heterogeneities were found in the soil erosion intensities throughout the MLYB: soil erosion improved in the upper and middle regions of the MLYB, whereas soil erosion worsened in the lower regions of the MLYB. Among the sub-basins of the MLYB, obvious soil erosion occurred most frequently in the Hanjiang basin and least frequently in the Taihu basin. A driving force analysis showed that the influence of precipitation on soil erosion is more evident than that of human activities in all sub-basins except the Dongting basin. A correlation analysis between soil erosion and water turbidity/water transparency showed that 45.9% of the decreasing water turbidity is correlated with decreasing soil erosion and that 42.5% of the increasing water turbidity might be influenced by increasing soil erosion. Decreased soil erosion might be responsible for the improved water transparency for 50% of the lakes, whereas increased soil erosion is correlated with a decrease in water transparency for over 50% of the lakes.

ACS Style

Xuejiao Hou; Jinhan Shao; Xiaoling Chen; Jian Li; Jianzhong Lu. Changes in the soil erosion status in the middle and lower reaches of the Yangtze River basin from 2001 to 2014 and the impacts of erosion on the water quality of lakes and reservoirs. International Journal of Remote Sensing 2019, 41, 3175 -3196.

AMA Style

Xuejiao Hou, Jinhan Shao, Xiaoling Chen, Jian Li, Jianzhong Lu. Changes in the soil erosion status in the middle and lower reaches of the Yangtze River basin from 2001 to 2014 and the impacts of erosion on the water quality of lakes and reservoirs. International Journal of Remote Sensing. 2019; 41 (8):3175-3196.

Chicago/Turabian Style

Xuejiao Hou; Jinhan Shao; Xiaoling Chen; Jian Li; Jianzhong Lu. 2019. "Changes in the soil erosion status in the middle and lower reaches of the Yangtze River basin from 2001 to 2014 and the impacts of erosion on the water quality of lakes and reservoirs." International Journal of Remote Sensing 41, no. 8: 3175-3196.

Journal article
Published: 21 November 2019 in Water
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As the largest freshwater lake in China, Poyang Lake plays an important role in the ecosystem of the Yangtze River watershed. The high suspended sediment concentration (SSC) has been an increasingly significant problem under the influence of extensive sand dredging. In this study, a hydrodynamic model integrated with the two-dimensional sediment transport model was built for Poyang Lake, considering sand dredging activities detected from satellite images. The sediment transport model was set with point sources of sand dredging, and fully calibrated and validated by observed hydrological data and remote sensing results. Simulations under different dredging intensities were implemented to investigate the impacts of the spatiotemporal variation of the SSC. The results indicated that areas significantly affected by sand dredging were located in the north of the lake and along the waterway, with a total affected area of about 730 km2, and this was one of the main factors causing high turbidity in the northern part of the lake. The SSC in the northern area increased, showing a spatial pattern in which the SSC varied from high to low from south to north along the main channel, which indicated close agreement with the results captured by remote sensing. In summary, this study quantified the influence of human induced activities on sediment transport for the lake aquatic ecosystem, which could help us to better understand the water quality and manage water resources.

ACS Style

Jianzhong Lu; Haijun Li; Xiaoling Chen; Dong Liang. Numerical Study of Remote Sensed Dredging Impacts on the Suspended Sediment Transport in China’s Largest Freshwater Lake. Water 2019, 11, 2449 .

AMA Style

Jianzhong Lu, Haijun Li, Xiaoling Chen, Dong Liang. Numerical Study of Remote Sensed Dredging Impacts on the Suspended Sediment Transport in China’s Largest Freshwater Lake. Water. 2019; 11 (12):2449.

Chicago/Turabian Style

Jianzhong Lu; Haijun Li; Xiaoling Chen; Dong Liang. 2019. "Numerical Study of Remote Sensed Dredging Impacts on the Suspended Sediment Transport in China’s Largest Freshwater Lake." Water 11, no. 12: 2449.

Journal article
Published: 08 November 2019 in Animals
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Excessive fat deposition in the liver could lead to fatty liver and an increased risk of many metabolic diseases. Apple polyphenols (APPs), the major antioxidants in apples, possess wide-ranging beneficial biological functions. The present study aimed to investigate the effects of APPs on hepatic fat deposition and antioxidant capacity in finishing pigs, and their mechanisms. Results showed that APPs improved lipid profiles, increased antioxidant enzyme activities and reduced the fat deposition in the liver. In the liver, SOD1, CAT, GPX1, GST, NF-E2-related nuclear factor 2 (Nrf2), hormone sensitive lipase (HSL), carnitine palmitoyl transferase-1b (CPT1b), peroxisome proliferator-activated receptor α (PPARα), cholesterol 7α-hydroxylase (CYP7A1) and low-density lipoprotein receptor (LDL-R) mRNA levels were increased by APPs, while Kelch-like ECH-associated protein 1 (Keap1) mRNA level, C16:0 and C20:4n-6 proportions and Δ9-18 dehydrogenase activity were decreased. In conclusion, this study indicated that APPs might be an effective dietary supplementation for improving lipid profiles, increasing antioxidant capacities and decreasing fat deposition in the liver.

ACS Style

Xiaojiao Xu; Xiaoling Chen; Zhiqing Huang; Daiwen Chen; Jun He; Ping Zheng; Hong Chen; Junqiu Luo; Yuheng Luo; Bing Yu; Jie Yu; Chen; Luo; Yu; Xu; He. Effects of Dietary Apple Polyphenols Supplementation on Hepatic Fat Deposition and Antioxidant Capacity in Finishing Pigs. Animals 2019, 9, 937 .

AMA Style

Xiaojiao Xu, Xiaoling Chen, Zhiqing Huang, Daiwen Chen, Jun He, Ping Zheng, Hong Chen, Junqiu Luo, Yuheng Luo, Bing Yu, Jie Yu, Chen, Luo, Yu, Xu, He. Effects of Dietary Apple Polyphenols Supplementation on Hepatic Fat Deposition and Antioxidant Capacity in Finishing Pigs. Animals. 2019; 9 (11):937.

Chicago/Turabian Style

Xiaojiao Xu; Xiaoling Chen; Zhiqing Huang; Daiwen Chen; Jun He; Ping Zheng; Hong Chen; Junqiu Luo; Yuheng Luo; Bing Yu; Jie Yu; Chen; Luo; Yu; Xu; He. 2019. "Effects of Dietary Apple Polyphenols Supplementation on Hepatic Fat Deposition and Antioxidant Capacity in Finishing Pigs." Animals 9, no. 11: 937.

Original article
Published: 23 July 2019 in Environmental Earth Sciences
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The leaf area index (LAI) is an important parameter used to characterize land vegetation growth patterns, and LAI forecasts are highly beneficial to natural resource management decisions. However, the LAI can be affected by biophysical, climate, and anthropogenic factors, thus, its future watershed-scale patterns remain difficult to assess. Herein, an object-oriented watershed-scale LAI forecasting (OWLF) method is proposed to solve the forecasting difficulties encountered when using only past meteorological data. The model was constructed with filtered multi-year MODIS LAI time series and climate index variables. Then, the dependence of the LAI on four mean monthly climate index variables was evaluated, namely, latent evapotranspiration, rainfall capacity, average air temperature, and sunlight hours, in the Poyang Lake basin. By combining the climate indexes derived from the past 1–3 months, the model forecasts the subsequent months LAI for different land cover types. The LAI forecasting results derived with a 13-year time series (2000–2012) suggest that the OWLF method can effectively recognize the expected spatial patterns, and the data agreed reasonably well with LAI dynamics and phenological periods. This work offers a promising way to exploit combined satellite and climate index data in novel and more accurate watershed-scale forecasting studies.

ACS Style

Hui Jiang; Jianya Gong; Xiaoling Chen; Yao Liu. Watershed-scale-based forecast method for leaf area index data based on the integration of time series MODIS products and meteorological data. Environmental Earth Sciences 2019, 78, 1 -10.

AMA Style

Hui Jiang, Jianya Gong, Xiaoling Chen, Yao Liu. Watershed-scale-based forecast method for leaf area index data based on the integration of time series MODIS products and meteorological data. Environmental Earth Sciences. 2019; 78 (15):1-10.

Chicago/Turabian Style

Hui Jiang; Jianya Gong; Xiaoling Chen; Yao Liu. 2019. "Watershed-scale-based forecast method for leaf area index data based on the integration of time series MODIS products and meteorological data." Environmental Earth Sciences 78, no. 15: 1-10.

Articles
Published: 13 January 2019 in International Journal of Remote Sensing
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In this study, the vegetation emergence times (VET), an important phenological characteristics, were obtained for 25 large lakes on the Yangtze Plain between 2001 and 2014. This was carried out by extracting the normalized difference vegetation index (NDVI) time series from the moderate-resolution imaging spectroradiometer (MODIS) data using a decision tree method. This is the first comprehensive documentation of the changes in temporal and spatial distribution in wetland vegetation phenology for large lakes on the Yangtze Plain. The results showed that considerable changes in the VET occurred in 25 wetland ecosystems in the Yangtze Plain. Specifically, 76% of the lakes showed delayed trends in the VET, and 32% of them were statistically significant (p < 0.05). In contrast, 24% of the lakes displayed advanced trends in the VET and 17% of them were statistically significant (p < 0.05) over the past 14 years. An analysis of the driving factors of VET revealed that a VET change was more sensitive to temperature and sunshine duration than to precipitation for most of the lakes. The temperature in 1–2 months before VET had great effect on the vegetation growth, while such a pattern was not evident for sunshine duration for 5 months before VET. Furthermore, the amounts of chemical fertilizers used in nearby farmlands have also played an important role in the vegetation growth for some of the lakes. This record of change in vegetation phenology provides critical information for wetland ecosystem monitoring in the Yangtze Plain.

ACS Style

Xuejiao Hou; Xiaoling Chen; Weizhe Liu; Lian Feng; Tarig A. Ali. Changes in the wetland vegetation growth patterns in large lakes on the Yangtze Plain. International Journal of Remote Sensing 2019, 40, 4290 -4301.

AMA Style

Xuejiao Hou, Xiaoling Chen, Weizhe Liu, Lian Feng, Tarig A. Ali. Changes in the wetland vegetation growth patterns in large lakes on the Yangtze Plain. International Journal of Remote Sensing. 2019; 40 (11):4290-4301.

Chicago/Turabian Style

Xuejiao Hou; Xiaoling Chen; Weizhe Liu; Lian Feng; Tarig A. Ali. 2019. "Changes in the wetland vegetation growth patterns in large lakes on the Yangtze Plain." International Journal of Remote Sensing 40, no. 11: 4290-4301.

Journal article
Published: 01 December 2018 in Acta Ecologica Sinica
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Poyang Lake wetland is an important wintering habitat of migratory birds with a complexity of coupled nature and human systems. Reported studies suggested that habitat indices were mostly developed based on single-class factors and scale-dependent. Therefore the indices might not be sufficient and applicable to predict regional changes for population and abundance of migratory birds (PMB and AMB) in Poyang Lake wetland at watershed and basin scales. In order to explore an efficient habitat index for predicting PMB and AMB, an integrated and scale-independent habitat index was proposed by integration of landscape and environmental temperature variables at basin and watershed scales. The landscape index and environmental temperature index based on single-class dominant factors, were also evaluated by weighted additive method. Multi-source data, including multi-spatial and temporal remote sensing images and field survey data, was used in this study. Results indicated that the average 10-night temperature in July (TN-Jul.) had dominant influence on PMB and the environmental temperature index was a better predictor for predicting PMB; AMB was influenced by both landscape and temperature variables and the proposed integrated habitat index was better for prediction of AMB in Poyang Lake wetland. The proposed integrated habitat index is a supplement of the single-class habitat index, which provides a more scientific technique for the study of biodiversity.

ACS Style

Hongmei Zhao; Yeqiao Wang; Bing Xu; Xiaoling Chen; Zhiyong Jiang. Exploring an efficient habitat index for predicting population and abundance of migratory birds in Poyang Lake Wetland, South China. Acta Ecologica Sinica 2018, 38, 381 -390.

AMA Style

Hongmei Zhao, Yeqiao Wang, Bing Xu, Xiaoling Chen, Zhiyong Jiang. Exploring an efficient habitat index for predicting population and abundance of migratory birds in Poyang Lake Wetland, South China. Acta Ecologica Sinica. 2018; 38 (6):381-390.

Chicago/Turabian Style

Hongmei Zhao; Yeqiao Wang; Bing Xu; Xiaoling Chen; Zhiyong Jiang. 2018. "Exploring an efficient habitat index for predicting population and abundance of migratory birds in Poyang Lake Wetland, South China." Acta Ecologica Sinica 38, no. 6: 381-390.

Preprint content
Published: 12 July 2018
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Traditional statistic downscaling methods are processed on independent stations, which ignores spatial correlations and spatiotemporal heterogeneity. In this study, a spatiotemporally distributed downscaling model (STDDM) was developed. The method interpolated observations and GCMs (Global Climate Models) simulations to continual finer grids; then created relationship, respectively for each grid at each time. We applied the STDDM in precipitation downscaling of Poyang Lake Watershed using MRI-CGCM3 (Meteorological Research Institute Coupled Ocean-Atmosphere General Circulation Model3), with an acceptant uncertainty of ≤ 4.9 %, and created future precipitation changes from 1998 to 2100 (1998–2012 in the historical and 2013–2100 in RCP8.5 scenario). The precipitation changes showed increasing heterogeneities in temporal and spatial distribution under the future climate warming. In the temporal pattern, the wet season precipitation increased with change rate (CR) = 7.33 mm/10a (11.66 mm/K) while the dry season precipitations decreased with CR = −0.92 mm/10a (−4.31 mm/K). The extreme precipitation frequency and intensity were enhanced with CR = 0.49 days/10a and 7.2 mm•day-1/10a respectively. In the spatial pattern, precipitations in wet or dry season showed an uneven change rate over the watershed, and the wet or dry area exhibited a wetter or drier condition in the wet or dry season. Analysis with temperature increases showed precipitation changes appeared significantly (p

ACS Style

Ling Zhang; Xiaoling Chen; Jianzhong Lu; Dong Liang. Variations of future precipitations in Poyang Lake Watershed under the global warming using a spatiotemporally distributed downscaling model. 2018, 2018, 1 -32.

AMA Style

Ling Zhang, Xiaoling Chen, Jianzhong Lu, Dong Liang. Variations of future precipitations in Poyang Lake Watershed under the global warming using a spatiotemporally distributed downscaling model. . 2018; 2018 ():1-32.

Chicago/Turabian Style

Ling Zhang; Xiaoling Chen; Jianzhong Lu; Dong Liang. 2018. "Variations of future precipitations in Poyang Lake Watershed under the global warming using a spatiotemporally distributed downscaling model." 2018, no. : 1-32.

Journal article
Published: 12 June 2018 in Journal of Hydroinformatics
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The Poyang Lake ungauged area (PLUA) is an essential hydrology buffer surrounding Poyang Lake. For such a data-scarce area, a novel spatially distributed runoff coefficient model (SDRCM) was developed based on the underlying surface properties using remotely sensed precipitation and reanalysis data after their validation. The runoff simulated by the SDRCM based on both sets of gridded precipitation data were validated in a subbasin where R2 and ENS are larger than 0.87. In addition, a hydrodynamic model was applied to validate the proposed model further by considering the estimated water yield for PLUA that involves boundary inputs, in which the result more closely aligns to the monthly observed discharge. On an annual basis, the PLUA water flow accounted for 12%–19% of the total annual water flow within the watershed, which was approximately equal to the proportion of the area of PLUA in relation to the entire watershed. Finally, the water balance between inflow and outflow of Poyang Lake was investigated, with relative errors observed at the Hukou gauging station all being less than 10% from 1998 to 2009. The proposed model will be helpful in understanding the significance of water yields of such ungauged plain area when evaluating the water balance.

ACS Style

Jianzhong Lu; Xiaoling Chen; Ling Zhang; Sabine Sauvage; José-Miguel Sánchez-Pérez. Water balance assessment of an ungauged area in Poyang Lake watershed using a spatially distributed runoff coefficient model. Journal of Hydroinformatics 2018, 20, 1009 -1024.

AMA Style

Jianzhong Lu, Xiaoling Chen, Ling Zhang, Sabine Sauvage, José-Miguel Sánchez-Pérez. Water balance assessment of an ungauged area in Poyang Lake watershed using a spatially distributed runoff coefficient model. Journal of Hydroinformatics. 2018; 20 (5):1009-1024.

Chicago/Turabian Style

Jianzhong Lu; Xiaoling Chen; Ling Zhang; Sabine Sauvage; José-Miguel Sánchez-Pérez. 2018. "Water balance assessment of an ungauged area in Poyang Lake watershed using a spatially distributed runoff coefficient model." Journal of Hydroinformatics 20, no. 5: 1009-1024.