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Shuying Zang
Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, Harbin Normal University, Harbin 150025, China

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Journal article
Published: 10 June 2021 in Ecological Indicators
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The freeze–thaw process of active layer can alter soil hydrothermal dynamics and plays an important role in the stability of permafrost ecosystem, particularly under the background of permafrost degradation resulting from climate warming. Wetlands in permafrost regions are considered to be symbiotic with permafrost. However, despite being the principal region of high-latitude permafrost in China, research on the freeze–thaw process in wetland in the Great Hing’an Mountains is limited. In this study, soil temperature and moisture data (from September 2018 to August 2020) collected from shrub and forest swamp observational sites in the Great Hing’an Mountains were used to analyze the freeze–thaw process and soil hydrothermal dynamics. The effect of wetland types on the freeze–thaw process and the coupling characteristics of soil temperature and moisture were discussed. The results demonstrated that the thawing process of active layer was unidirectional, while the freezing was bidirectional, and the thawing process took much longer than freezing process. The distribution of temperature and moisture of active layer varied in different stage of freeze–thaw process, yet similar trends were exhibited in different wetland types during the same freeze–thaw stage. The annual average temperature of forest swamp was higher than that of shrub swamp for all soil depths, while the annual average water content of forest swamp was lower than that of shrub swamp. A significant non-linear correlation was observed between moisture and temperature of each soil layer.

ACS Style

Xingfeng Dong; Chao Liu; Miao Li; Dalong Ma; Qiang Chen; Shuying Zang. Variations in active layer soil hydrothermal dynamics of typical wetlands in permafrost region in the Great Hing’an Mountains, northeast China. Ecological Indicators 2021, 129, 107880 .

AMA Style

Xingfeng Dong, Chao Liu, Miao Li, Dalong Ma, Qiang Chen, Shuying Zang. Variations in active layer soil hydrothermal dynamics of typical wetlands in permafrost region in the Great Hing’an Mountains, northeast China. Ecological Indicators. 2021; 129 ():107880.

Chicago/Turabian Style

Xingfeng Dong; Chao Liu; Miao Li; Dalong Ma; Qiang Chen; Shuying Zang. 2021. "Variations in active layer soil hydrothermal dynamics of typical wetlands in permafrost region in the Great Hing’an Mountains, northeast China." Ecological Indicators 129, no. : 107880.

Original paper
Published: 03 June 2021 in Arabian Journal of Geosciences
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The present work screened four factors (i.e., tillage, initial soil water content (IWC), freezing–thawing (F–T) and drying–wetting (D–W) cycles) to examine the Mollisols aggregate size distribution and stability. Soils were sampled from no-till (NT) and conventional tillage (CT) treatments in the 0–10 cm soil layer and conducted 0/3/6/11 F–T and D–W cycles. Three different IWC values were considered: 130, 230, and 330 g/kg, and our trials set up four aggregate size classes: larger aggregate size fractions (LWSA, >1.00 mm), medium aggregate size fractions (MWSA, 0.25–1.00 mm), small aggregate size fractions (SWSA, 0.106–0.25 mm), and particles (PA, < 0.106 mm); and the mean weight diameter (MWD) was used to analyze water-stable aggregate stability (WAS). Significant decrease of LWSA and WAS in NT was observed in the snowmelt stage, but the opposite results occurred during the crop growth period. In the simulated experiment, significant interactive effects of tillage and IWC on LWSA and WAS were observed in the F–T and D–W cycles, which showed that LWSA and WAS elevated as the F–T and W–D cycle numbers and IWC increased for both NT and CT treatments exhibited negative correlation with WAS. The greater amount of LWSA in NT was observed than CT in the F–T cycles, while the opposite results were in W–D cycles. The SWSA fraction had a negative relation with LWSA for NT treatment, and the MWSA fraction had a contrary variation with LWSA for CT treatment. In either tillage treatment, PA was not greatly affected. We therefore suggested to evaluate size distribution and stability of the Mollisols aggregates by including tillage, IWC, F–T and W–D cycles.

ACS Style

Lanqin Wang; Shuying Zang; Qiang Chen; Xiangwen Wu. Analysis of influence factors on aggregate stability and size distribution in mollisoils. Arabian Journal of Geosciences 2021, 14, 1 -9.

AMA Style

Lanqin Wang, Shuying Zang, Qiang Chen, Xiangwen Wu. Analysis of influence factors on aggregate stability and size distribution in mollisoils. Arabian Journal of Geosciences. 2021; 14 (12):1-9.

Chicago/Turabian Style

Lanqin Wang; Shuying Zang; Qiang Chen; Xiangwen Wu. 2021. "Analysis of influence factors on aggregate stability and size distribution in mollisoils." Arabian Journal of Geosciences 14, no. 12: 1-9.

Journal article
Published: 29 May 2021 in Sustainability
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Developing urban growth models enables a better understanding and planning of sustainable urban areas. Case-based reasoning (CBR), in which historical experience is used to solve problems, can be applied to the simulation of complex dynamic systems. However, when applying CBR to urban growth simulation, problems such as inaccurate case description, a single retrieval method, and the lack of a time control mechanism limit its application accuracy. In order to tackle these barriers, this study proposes a CBR model for simulating urban growth. This model includes three parts: (1) the case expression mode containing the “initial state-geographical feature-result” is proposed to adapt the case expression to the urban growth process; (2) in order to improve the reliability of the results, we propose a strategy to introduce the “retrieval quantity” parameter and retrieve multiple similar cases; and (3) a time factor control method based on demand constraints is proposed to improve the power of time control in the algorithm. Finally, the city of Jixi was used as the study area for simulation, and when the “retrieval quantity” is 10, the simulation accuracy reaches 97.02%, kappa is 85.51, and figure of merit (FoM) is 0.1699. The results showed that the proposed method could accurately analyze urban growth.

ACS Style

Xin Ye; Wenhui Yu; Lina Lv; Shuying Zang; Hongwei Ni. An Improved Case-Based Reasoning Model for Simulating Urban Growth. Sustainability 2021, 13, 6146 .

AMA Style

Xin Ye, Wenhui Yu, Lina Lv, Shuying Zang, Hongwei Ni. An Improved Case-Based Reasoning Model for Simulating Urban Growth. Sustainability. 2021; 13 (11):6146.

Chicago/Turabian Style

Xin Ye; Wenhui Yu; Lina Lv; Shuying Zang; Hongwei Ni. 2021. "An Improved Case-Based Reasoning Model for Simulating Urban Growth." Sustainability 13, no. 11: 6146.

Journal article
Published: 26 March 2021 in Sustainability
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In recent years, black soil has decreased and degenerated heavily due to complicated functions of natural and artificial factors. Hence, characterizing distributions of particle sizes in black soil and their environmental influencing factors is important for understanding black soil degradation. A total of 116 surface soil samples in the top 20 cm from a typical black soil region in northeastern China were collected, and the spatial distribution of particle size parameters were characterized. Particle size-sensitive components were extracted quantitatively using the log-normal distribution function, and their environmental implications were investigated. The contents of black soil mechanical composition ranged from 7.8% to 79.3% for clay, 17.7% to 80.3% for silt, and 0% to 73.7% for sand, respectively. Median particle size ranged from 1.71 to 142.67 μm, with a coefficient of variation of 60%, indicating silt accounted for the majority of the composition. Four environmentally sensitive components were identified, including long-distance transported airborne deposits of clay dust (C1), successions from local parent materials (C2), short-distance deposits of silt particles (C3), and a component strongly disturbed by human activities (C4). C1 and C2 had relatively low variations, with C1 exhibiting the smallest variation, and C2 contributing highest proportion, showing no significant differences across all samples. C3 widely existed across samples, suggesting common wind erosion within the black soil region. C3 and C4 varied spatially, which was caused by the low vegetation coverage and high human disturbance of agricultural topsoil. The results suggest that windbreaks should be encouraged to reduce wind erosion in the black soil regions.

ACS Style

Binghe Yan; Yulan Zhang; Shuying Zang; Qiang Chen; Li Sun. Distributions of Particle Sizes in Black Soil and Their Environmental Significance in Northeast China. Sustainability 2021, 13, 3706 .

AMA Style

Binghe Yan, Yulan Zhang, Shuying Zang, Qiang Chen, Li Sun. Distributions of Particle Sizes in Black Soil and Their Environmental Significance in Northeast China. Sustainability. 2021; 13 (7):3706.

Chicago/Turabian Style

Binghe Yan; Yulan Zhang; Shuying Zang; Qiang Chen; Li Sun. 2021. "Distributions of Particle Sizes in Black Soil and Their Environmental Significance in Northeast China." Sustainability 13, no. 7: 3706.

Journal article
Published: 24 March 2021 in CATENA
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Wavelet texture features can well describe the cracking of salt-affected clayey soils on different decomposition scales since the desiccation cracking is considered as a common phenomenon and mainly determined by the salt content. To establish the relationship between wavelet texture features and the salinity of soda saline-alkali soils, 200 soil samples were selected in Songnen Plain of China and the crack images of the samples were processed uniformly. The 4-levels orthogonal wavelet decompositions were performed based on coiflet-1 wavelet basis function using the grayscale images. After that, correlation analysis was carried out between electrical conductivity (EC) and wavelet texture features (energy and L1 norm) under different decomposition levels. The results indicate that the poor relationship between low-frequency texture features and EC is hardly affected by the decomposition levels, but the correlation coefficients between high-frequency wavelet texture features and EC of soil samples increases significantly with decomposition levels. Besides, 100 calibration samples were used to establish the regression models and the results show that both energy and L1 norm are exponentially correlated with EC of soil samples especially for those from 90° high-frequency decomposition results with R2 of the exponential models of 0.90 and 0.84. A fast EC measurement method for predicting soil EC was then proposed and verified by the other 100 soil samples. The fitting results show very high prediction accuracy when EC was calculated by the energy from 90° with R2 of 0.91 and ratio of performance to deviation (RPD) of 4.73 and L1 norm from 90° with R2 of 0.85 and RPD of 3.53. Moreover, the fitting results based on the mean texture features calculated from 0°, 90° and 135° high-frequency decomposition results are also relatively good (R2 of 0.88 and RPD of 4.13 for energy, R2 of 0.81 and RPD of 3.36 for L1 norm).

ACS Style

Jianhua Ren; Qiang Chen; Dalong Ma; Ruifeng Xie; Honglei Zhu; Shuying Zang. Study on a fast EC measurement method of soda saline-alkali soil based on wavelet decomposition texture feature. CATENA 2021, 203, 105272 .

AMA Style

Jianhua Ren, Qiang Chen, Dalong Ma, Ruifeng Xie, Honglei Zhu, Shuying Zang. Study on a fast EC measurement method of soda saline-alkali soil based on wavelet decomposition texture feature. CATENA. 2021; 203 ():105272.

Chicago/Turabian Style

Jianhua Ren; Qiang Chen; Dalong Ma; Ruifeng Xie; Honglei Zhu; Shuying Zang. 2021. "Study on a fast EC measurement method of soda saline-alkali soil based on wavelet decomposition texture feature." CATENA 203, no. : 105272.

Journal article
Published: 27 February 2020 in Atmosphere
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Over the past few decades, concentrations of carbon dioxide (CO2), a key greenhouse gas, have risen at a global rate of approximately 2 ppm/a. China is the largest CO2 emitter and is the principle contributor to the increase in global CO2 levels. Based on a satellite-retrieved atmospheric carbon dioxide column average dry air mixing ratio (XCO2) dataset, derived from the greenhouse gas observation satellite (GOSAT), this paper evaluates the spatial and temporal variations of XCO2 characteristics in China during 2009–2016. Moreover, the factors influencing changes in XCO2 were investigated. Results showed XCO2 concentrations in China increased at an average rate of 2.28 ppm/a, with significant annual seasonal variations of 6.78 ppm. The rate of change of XCO2 was greater in south China compared to other regions across China, with clear differences in seasonality. Seasonal variations in XCO2 concentrations across China were generally controlled by vegetation dynamics, characterized by the Normalized Difference Vegetation Index (NDVI). However, driving factors exhibited spatial variations. In particular, a distinct belt (northeast–southwest) with a significant negative correlation (r < −0.75) between XCO2 and NDVI was observed. Furthermore, in north China, human emissions were identified as the dominant influencing factor of total XCO2 variations (r > 0.65), with forest fires taking first place in southwest China (r > 0.47). Our results in this study can provide us with a potential way to better understand the spatiotemporal changes of CO2 concentration in China with NDVI, human activity and biomass burning, and could have an enlightening effect on slowing the growth of CO2 concentration in China.

ACS Style

Zhenghan Lv; Yusheng Shi; Shuying Zang; Li Sun. Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors. Atmosphere 2020, 11, 231 .

AMA Style

Zhenghan Lv, Yusheng Shi, Shuying Zang, Li Sun. Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors. Atmosphere. 2020; 11 (3):231.

Chicago/Turabian Style

Zhenghan Lv; Yusheng Shi; Shuying Zang; Li Sun. 2020. "Spatial and Temporal Variations of Atmospheric CO2 Concentration in China and Its Influencing Factors." Atmosphere 11, no. 3: 231.

Journal article
Published: 20 August 2019 in International Journal of Environmental Research and Public Health
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With global warming, the large amount of greenhouse gas emissions released by permafrost degradation is important in the global carbon and nitrogen cycle. To study the feedback effect of greenhouse gases on climate change in permafrost regions, emissions of CO2, CH4, and N2O were continuously measured by using the static chamber-gas chromatograph method, in three forest soil ecosystems (Larix gmelinii, Pinus sylvestris var. mongolica, and Betula platyphylla) of the Daxing'an Mountains, northeast China, from May 2016 to April 2018. Their dynamic characteristics, as well as the key environmental affecting factors, were also analyzed. The results showed that the flux variation ranges of CO2, CH4, and N2O were 7.92 ± 1.30~650.93 ± 28.12 mg·m-2·h-1, -57.71 ± 4.65~32.51 ± 13.03 ug·m-2·h-1, and -3.87 ± 1.35~31.1 ± 2.92 ug·m-2·h-1, respectively. The three greenhouse gas fluxes showed significant seasonal variations, and differences in soil CO2 and CH4 fluxes between different forest types were significant. The calculation fluxes indicated that the permafrost soil of the Daxing'an Mountains may be a potential source of CO2 and N2O, and a sink of CH4. Each greenhouse gas was controlled using different key environmental factors. Based on the analysis of Q10 values and global warming potential, the obtained results demonstrated that greenhouse gas emissions from forest soil ecosystems in the permafrost region of the Daxing'an Mountains, northeast China, promote the global greenhouse effect.

ACS Style

Xiangwen Wu; Shuying Zang; Dalong Ma; Jianhua Ren; Qiang Chen; Xingfeng Dong. Emissions of CO2, CH4, and N2O Fluxes from Forest Soil in Permafrost Region of Daxing'an Mountains, Northeast China. International Journal of Environmental Research and Public Health 2019, 16, 2999 .

AMA Style

Xiangwen Wu, Shuying Zang, Dalong Ma, Jianhua Ren, Qiang Chen, Xingfeng Dong. Emissions of CO2, CH4, and N2O Fluxes from Forest Soil in Permafrost Region of Daxing'an Mountains, Northeast China. International Journal of Environmental Research and Public Health. 2019; 16 (16):2999.

Chicago/Turabian Style

Xiangwen Wu; Shuying Zang; Dalong Ma; Jianhua Ren; Qiang Chen; Xingfeng Dong. 2019. "Emissions of CO2, CH4, and N2O Fluxes from Forest Soil in Permafrost Region of Daxing'an Mountains, Northeast China." International Journal of Environmental Research and Public Health 16, no. 16: 2999.