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Spatiotemporal distribution,environmental risk and carbon emission reduction potential of livestock manure in Shaanxi Province,China

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Frontiers of Agricultural Science and engineering 2024年第3期11卷 381-396页

作者： Mengyuan QIAO Jianchun ZHU Ronghua LI Junting PAN Ran XIAO Hailong WANG Kuok Ho Daniel TANG Zengqiang ZHANG College of Humanities&Social Development Northwest A&F UniversityYangling 712100China College of Natural Resources and Environment Northwest A&F UniversityKey Laboratory of Low-carbon Green Agriculture in Northwestern ChinaMinistry of Agriculture and Rural AffairsYangling 712100China Key Laboratory of non-point source pollution of Ministry of Agricultural and Rural Affairs Institute of Agricultural Resources and Regional PlanningChinese Academy of Agricultural SciencesBeijing 100081China Interdisciplinary research center for Agriculture Green Development in Yangtze River Basin College of Resources and EnvironmentSouthwest UniversityChongqing 400715China Biochar engineering Technology research center of Guangdong Province School of Environmental and Chemical EngineeringFoshan UniversityGuangdong 528000China Department of Environmental Science University of ArizonaTucsonAZ 85721USA

Shaanxi is a leading province in animal husbandry(AH)in ***,the lack of provincial information on the characteristics and utilization potential of livestock manure(LM)hinders crucial management ***,we investigated the spatiotemporal distribution,availability and biogas potential of LM in Shaanxi,and examine the carbon emission reduction potential of *** has been a 1.26-fold increase in LM quantities in Shaanxi over the past 35 years,reaching 4635.6×10^(4)t by *** was mainly concentrated in northern Shaanxi and the eastern part of *** and pig manure were the primary sources of LM,with the average LM land-load of 14.57 t·ha^(−1)in *** the overall AH in Shaanxi has not exceeded the environmental capacity,the actual scales of AH in Ankang and Hanzhong have already surpassed the respective environmental capacities,posing a higher risk of N and P *** 2021,the estimated biogas energy potential of LM was 1.2×10^(11)*** 2012 to 2021,the average carbon emission reduction potential in Shaanxi was 22%,with an average potential scale of 10%.The results of this research provide valuable data and policy recommendations for promoting the intensive use of LM and reducing carbon emissions in Shaanxi.

关键词： Livestock manure emission estimation N and P loads biogas potential carbon emission reduction

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Thermal stability of soil organic carbon subjected to water erosion as a function of edaphic factors

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International Journal of Sediment research 2022年第1期37卷 26-36页

作者： Zhongwu Li Linhui Xiao Chuxiong Deng Zaijian Yuan Chen Liang Qian Xiong Zeting Li Xiaodong Nie College of Resources and Environmental Science Hunan Normal University Guangdong engineering center of non-point source pollution control Guangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management Guangdong Institute of Eco-environmental Science & Technology Guangdong Academy of Sciences National-Regional Joint engineering research center for Soil pollution control and Remediation in South China

The stability of soil organic carbon (SOC),as it relates to resistance to decomposition,is important for greenhouse gas emission and climate ***,the SOC stabilization and its related influencing factors subjected to water erosion remain *** objective of the current study was to determine the SOC stability under long-term water erosion and to investigate the link between SOC stability and edaphic *** samples from eroded,depositional,and control sites in a closed watershed in subtropical China were *** SOC concentration,carbon functional groups,soil physicochemical properties,and thermal stability of SOC were *** study results showed that the primary component of the SOC functional groups was O-alkyl carbon (reached 40%),and its proportion has no significant difference among different *** TG-T50(the temperature at which 50%of the soil organic matter is lost) values indicated that the SOC thermal stability in the eroded topsoil was higher than that of the deposited *** carbon functional groups were lack of relation with SOC thermal stability(p>0.05).However,the TG-T50was significantly positively correlated with the cation exchange capacity and silt,but remarkably negatively correlated with SOC,dissolved organic carbon,total nitrogen,sand,clay,p H,aluminum,specific surface area,and iron *** results indicated that the edaphic factors,which were strongly affected by micro-environment,are the main factors affecting thermal stability of organic *** SOC stabilization under the effects of long-term water erosion should be addressed from the perspective of the ecosystem.

关键词： Soil erosion Soil organic matter Thermogravimetry Preservation Stability

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Water level fluctuations influence microbial communities and mercury methylation in soils in the Three Gorges Reservoir,China

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Journal of Environmental Sciences 2018年第6期30卷 206-217页

作者： Yuping Xiang Yongmin Wang Cheng Zhang Hong Shen Dingyong Wang College of Resources and Environment Southwest University Chongqing 400715 China Chongqing engineering research center for Agricultural non-point source pollution control in the Three Gorges Reservoir Area Chongqing 400715 China Chongqing Key Laboratory of agricultural Resources and Environment Chongqing 400715 China

Reservoirs tend to have enhanced methylmercury（MeHg） concentrations compared to natural lakes and rivers, and water level fluctuations can promote MeHg production. Until now, little research has been conducted on the effects of microorganisms in soils for the formation of MeHg during different drying and flooding alternating conditions in the Three Gorges Reservoir（TGR）. This study aimed to understand how water level fluctuations affect soil microbial composition and mercury concentrations, and if such microbial variations are related to Hg methylation. The results showed that MeHg concentrations and the ratios of MeHg to THg（MeHg%） in soils were higher in the seasonally drying and flooding alternating areas（DFAs, 175–155 m） than those in the non-inundated（NIAs, 〉 175 m） and inundated areas（IAs, 〈 145 m）. However, MeHg% in all samples was less than 1%, indicating that the Hg methylation activity in the soils of the TGR was under a low level. 454 highthroughput sequencing of 16 S rRNA gene amplicons showed that soil bacterial abundance and diversity were relatively higher in DFA compared to those in NIA and IA, and microbial community composition varied in these three areas. At the family level, those groups in Deltaproteobacteria and Methanomicrobia that might have many Hg methylators were also showed a higher relative abundance in DFA, which might be the reason for the higher MeHg production in these areas. Overall, our results suggested that seasonally water level fluctuations can enhance the microbial abundance and diversity, as well as MeHg production in the TGR.

关键词： Water level fluctuation zone Three Gorges Reservoir Soil Microbial communities Methylmercury Methylators

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Dynamics of total culturable bacteria and its relationship with methylmercury in the soils of the water level fluctuation zone of the Three Gorges Reservoir

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Chinese Science Bulletin 2014年第24期59卷 2966-2972页

作者： Yuping Xiang Hongxia Du Hong Shen Cheng Zhang Dingyong Wang Chongqing Key Laboratory of Soil Multi-scale Interfacial Process College of Resources and Environment Southwest University Chongqing engineering research center for Agricultural non-point source pollution control in the Three Gorges Reservoir Area Chongqing Key Laboratory of Agricultural Resources and Environment

Field investigations were conducted to study the temporal and spatial distribution characteristics of total culturable bacteria(TCB)and its relationship with methylmercury(MeHg)in the soils of the water level fluctuation zone of the Three Gorges *** altitudes(170–180,170–175,165–170 and 160–165 m)in Zhenxi(Site 1),Shibaozhai(Site 2)and Tujing(Site 3),Chongqing,China were chosen as sampling *** indicated that TCB did not have significant difference in the top(0–10 cm)and sub(10–20 cm)soil of the non-inundated area(175–180 m),but showing a significant difference in the water level fluctuation zone(\175 m,suggesting that water level fluctuation had an important effect on ***,TCB in soils of various altitudes of Site 1 and 2had significant difference,while for Site 3,this difference was not *** the difference of TCB in Site 2was much greater than that in Site *** results suggested that there were significant differences for TCB in soils of mainstream and *** addition,TCB in soils of 10–20 cm had significant or highly significant positive correlations with MeHg level(r C 0.762,P B 0.048),thus we assumed that there may be some aerobic microorganisms playing dominant roles in mercury methylation.

关键词：水库水位甲基汞涨落带共培养土壤三峡细菌时空分布特征

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Effect of dissolved organic matter on mercury release from water body

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Journal of Environmental Sciences 2011年第6期23卷 912-917页

作者： Yutao Zhang Xi Chen Yongkui Yang Dingyong Wang Xiao Liu Key Laboratory of Eco-Environments in Three Gorges Reservoir Region (Ministry of Education) College of Resources and Environment Southwest University Chongqing 400715 China Chongqing engineering research center for Agricultural-non-point source pollution control in the Three Gorges Reservoir Area Chongqing 400716 China Department of Chemistry Biology and Agriculture in Anshun College Anshun 561000 China

Dissolved organic matter（DOM） plays an important role in the process of mercury release from water *** this study,the influence of DOM from different sources（DOMR,DOMS and DOMH,extracted from rice straw,compost and humic soil respectively） on mercury reduction was *** molecular weight distribution and chemical composition of DOM from each source were determined using ultrafiltration membrane technique and elemental analysis *** result showed that mercury release from DOM-added samples was much lower than the control;the lowest mercury release flux was observed in the treatment of DOMH,25.02% of the control,followed by DOMS and DOMR,62.46% and 64.95% of the control,*** higher saturation degree and lower molecular weight of DOMH was responsible for the highest inhibition degree on the mercury *** link between DOMH,concentration and mercury flux was also estimated and the result showed that mercury flux was increased with DOMH at lower concentration,while decreased with DOMH at higher *** mechanism dominated the influence of DOM on mercury release with variation of DOM concentration.

关键词： dissolved organic matter mercury release inhibition molecular weight

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Effects of acid deposition on the avoidance behavior of Folsomia candida (Collembola, Isotomidae)

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Soil Ecology Letters 2022年第2期4卷 164-170页

作者： Xiaofeng Luo Linglong Zhu Guoliang Xu Jiaen Zhang Jianlong Xu Shiqin Yu Xiaohua Chen School of Geographical Science and Remote Sensing Guangzhou UniversityGuangzhou 510006China Guangdong Province Rural Water Environment non-point source pollution Comprehensive Treatment engineering Technology research center Guangzhou 510006China Guangdong provincial Key Laboratory of Eco-circular Agriculture South China Agricultural UniversityGuangzhou 510642China

Excessive acid deposition causes soil acidification,and changes the soil microhabitat,thus affecting the survival and reproduction of soil *** candida(Collembola,Isotomidae),as a model organism,is widely used to assess the chemical toxicity in soil,and its avoidance response can indicate the environmental *** this study,we used Folsomia candida to assess the risks of acid deposition on soil *** pH(3.0,3.5,4.0,4.5,5.0,and 5.5)treatments were set up in petri dish experiments,and the avoidance behavior of Folsomia candida was measured after 12,24,and 48 h exposure to the pH *** results indicated that(1)both the exposure duration and pH level influenced avoidance behavior of collembolan.(2)After 12 h exposure,most of the individuals showed avoidance behavior but without significant differences among the treatments.(3)After 24 h exposure,significant avoidance behavior was observed at pH 3.0,3.5,and 4.0.(4)After 48 h exposure,avoidance behavior was found in all treatment conditions except for pH *** study clarified the direct responses of soil fauna to acid deposition,and indicated that both pH and length of exposure influenced the avoidance behavior of Folsomia *** the experimental period,the collembolan reacted negatively and showed consistent avoidance behavior at pH 3.0,3.5,and *** avoidance behavior was apparent between pH 4.5 and 5.0 and not observed at pH 5.5,indicating that the latter was the preferred pH environment.

关键词： Collembolan Acid rain Behavioral avoidance

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Self-feedback LSTM regression model for real-time particle source apportionment

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Journal of Environmental Sciences 2022年第4期34卷 10-20页

作者： Wei Wang Weiman Xu Shuai Deng Yimeng Chai Ruoyu Ma Guoliang Shi Bo Xu Mei Li Yue Li Trusted AI System Laboratory College of Computer ScienceNankai UniversityTianjin 300350China KLMDASR Tianjin Key Laboratory of Network and Data Security TechnologyTianjin 300350China State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter pollution Prevention and control College of Environmental Science and EngineeringNankai UniversityTianjin 300071China Institute of Mass Spectrometry and Atmospheric Environment Guangdong Provincial Engineering Research Center for on-line source apportionment system of air pollution Jinan UniversityGuangzhou 510632China Guangdong-Hongkong-Macao Joint Laboratory of Collaborative Innovation for Environmental Quality Guangzhou 510632China

Atmospheric particulate matter pollution has attracted much wider attention *** recent years,the development of atmospheric particle collection techniques has put forwards new demands on the real-time source apportionments *** demands are summarized,in this paper,as how to set up new restraints in apportionment and how to develop a non-linear regression model to process complicated circumstances,such as the existence of secondary source and similar *** this study,we firstly analyze the possible and potential restraints in single particle source apportionment,then propose a novel three-step self-feedback long short-term memory(SF-LSTM)network for approximating the source *** proposed deep learning neural network includes three modules,as generation,scoring and refining,and regeneration *** from the scoring modules,SF-LSTM implants four loss functions representing four restraints to be followed in the apportionment,meanwhile,the regeneration module calculates the source contribution in a non-linear *** results show that the model outperforms the conventional regression methods in the overall performance of the four evaluation indicators(residual sum of squares,stability,sparsity,negativity)for the ***,in short time-resolution analyzing,SF-LSTM provides better results under the restraint of stability.

关键词： Time series Regression Self-feedback LSTM network Particle source apportionment

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Ecological Remediation Measures for non-point source pollution Based on source-Sink Landscape Theory: A Case Study of Huanghou Basin

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Journal of Landscape research 2024年第2期16卷 72-76页

作者： WANG Hao XIAO Shizhen School of Karst Science Guizhou Normal University/State Engineering Technology Institute for Karst Desertification ControlGuiyangGuizhou 550001China

The growth of society and population has led to a range of water pollution *** these,non-point source pollution assessment and treatment pose a particular challenge due to its formation *** has become a focal point and challenge in water pollution treatment *** study area for this research was the Huanghou basin in Guizhou Province,southwest *** land use type of the basin was analyzed using remote sensing technology,and water quality data was collected by distributing points throughout the basin,based on source-sink landscape *** distribution map of the basin’s source-sink landscape and the results of water quality data accurately and efficiently identified the areas with high risk of non-point source pollution in the western and southwestern residential and agricultural areas of the upper ***,a strategy of“increasing sinks and decreasing sources”was *** strategy was implemented at both macro and micro levels to address non-point source pollution in the basin using ecological remediation *** work to control karst rocky desertification should continue at a macro *** rocky desertification area in the basin should gradually transform into grassland and forested land,while increasing the overall area of the sink *** restoration techniques,such as slope planting,riparian zone vegetation restoration,increasing plant abundance,and restoring aquatic plants,can effectively control non-point source pollution at the micro *** to traditional control methods,this remediation strategy focuses on source and process *** is more effective and does not require large-scale water pollution control projects,which can save a lot of environmental control funds and management ***,it has greater research significance and application value.

关键词： source-sink landscape theory non-point source pollution Ecological restoration Rocky desertification control Karst basin

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Machine learning and theoretical analysis release the non-linear relationship among ozone,secondary organic aerosol and volatile organic compounds

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Journal of Environmental Sciences 2022年第4期34卷 75-84页

作者： Feng Wang Zhongcheng Zhang Gen Wang Zhenyu Wang Mei Li Weiqing Liang Jie Gao Wei Wang Da Chen Yinchang Feng Guoliang Shi State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter pollution Prevention and control Tianjin Key Laboratory of Urban Transport Emission ResearchCollege of Environmental Science and EngineeringNankai UniversityTianjin 300350China CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health research(CLAER) College of Environmental Science and EngineeringNankai UniversityTianjin 300350China State Key Laboratory on Odor pollution control Tianjin Academy of Environmental SciencesTianjin 300191China Guangdong provincial engineering research center for On-line source Apportionment System of Air pollution Jinan University Institute of Mass Spectrometry and Atmospheric EnvironmentGuangzhou 510632China Guangdong-Hongkong-Macao Joint Laboratory of Collaborative Innovation for Environmental Quality Guangzhou 510632China Trusted AI System Laboratory College of Computer ScienceNankai UniversityTianjin 300350China Key Laboratory of Civil Aviation Thermal Hazards Prevention and Emergency Response Civil Aviation University of ChinaTianjin 300300China

Fine particulate matter(PM_(2.5))and ozone(O_(3))pollutions are prevalent air quality issues in *** organic compounds(VOCs)have significant impact on the formation of O_(3)and secondary organic aerosols(SOA)contributing PM_(2.5).Herein,we investigated 54 VOCs,O_(3)and SOA in Tianjin from June 2017 to May 2019 to explore the non-linear relationship among O_(3),SOA and *** monthly patterns of VOCs and SOA concentrations were characterized by peak values during October to March and reached a minimum from April to September,but the observed O_(3)was exactly the *** learning methods resolved the importance of individual VOCs on O_(3)and SOA that alkenes(mainly ethylene,propylene,and isoprene)have the highest importance to O_(3)formation;alkanes(C_(n),n≥6)and aromatics were the main source of SOA *** learning methods revealed and emphasized the importance of photochemical consumptions of VOCs to O_(3)and SOA *** formation potential(OFP)and secondary organic aerosol formation potential(SOAFP)calculated by consumed VOCs quantitatively indicated that more than 80%of the consumed VOCs were alkenes which dominated the O_(3)formation,and the importance of consumed aromatics and alkenes to SOAFP were 40.84%and 56.65%,***,isoprene contributed the most to OFP at 41.45%regardless of the season,while aromatics(58.27%)contributed the most to SOAFP in ***,our findings can provide scientific evidence on policymaking for VOCs controls on seasonal scales to achieve effective reduction in both SOA and O_(3).

关键词： VOCs Machine learning Photochemical consumption Ozone formation potential Secondary organic aerosol formation potential

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Establishment of soil moisture model based on hyperspectral data and growth parameters of winter wheat

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International Journal of Agricultural and Biological engineering 2023年第3期16卷 160-168页

作者： Xizhi Lyu Weimin Xing Yuguo Han Zhigong Peng Baozhong Zhang Muhammad Roman Key Laboratory of State Forestry Administration on Soil and Water Conservation College of Soil and Water ConservationBeijing Forestry UniversityBeijing 100083China Yellow River Institute of Hydraulic research Key Laboratory of the Loess Plateau Soil Erosion and Water Loss Process and Control of Ministry of Water ResourcesZhengzhou 450003China College of Hydraulic Science and engineering Yangzhou UniversityYangzhou 225009China Forest Ecosystem Studies National Observation and Research StationJixianShanxi 042200China Key Laboratory of non-point source pollution control Ministry of Agriculture and Rural AffairsBeijing 100081China State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin China Institute of Water Resources and Hydropower ResearchBeijing 100038China National center of Efficient Irrigation engineering and Technology research-Beijing Beijing 100048China

Large area of soil moisture status diagnosis based on plant canopy spectral data remains one of the hot spots of agricultural ***,the existing soil water prediction model constructed by the spectral parameters without considering the plant growth process will inevitably increase the prediction *** study carried out research on the correlations among spectral parameters of the canopy of winter wheat,crop growth process,and soil water content,and finally constructed the soil water content prediction model with the growth days *** results showed that the plant water content of winter wheat tended to decrease during the whole growth *** plant water content had the best correlations with the soil water content of the 0-50 cm soil *** different growth stages,even if the soil water content was the same,the plant water content and characteristic spectral reflectance were also ***,the crop growing days parameter was added to the model established by the relationships between characteristic spectral parameters and soil water content to increase the prediction *** is found that the determination coefficient(R^(2))of the models built during the whole growth period was greatly increased,ranging from 0.54 to ***,the model built by OSAVI(Optimized Soil Adjusted Vegetation Index)and Rg/Rr,two of the highest precision characteristic spectral parameters,were selected for model *** correlation between OSAVI and soil water content,Rg/Rr,and soil water content were still significant(presearch results could guide the agricultural production of winter wheat in northern China.

关键词： winter wheat canopy spectra growth process soil water content irrigation threshold soil moisture model prediction

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