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| 1 | RILL EROSION PROCESS ON STEEP SLOPE LAND OF THE LOESS PLATEAU显示文摘Rill erosion processes and principle of preventing rill erosion of different applied measures are studied by rainfall simulation and field investigation. Research results show that rill erosion processes can be schematically divided into five stages, that is, concentrated flow forming process; little waterfalls in the concentrated flow forming Process; little waterfalls developing into rill head cut process; rill head cuts developing to form discontinuous rill process and discontinuous rills connecting to form continuous rill process. Rill head cuts backward erosion, rill wall collapsing and runoff washing rill bed are the main patterns of rill development. The relevant equation between critical runoff volume of occurring rill erosion and slope degree can be expressed as follows: Q = 76. 10 - 2. 10J. And relevant equation between critical slope length of occurrence Of rill erosion and slope degree is parabolic with a minimum-value. In addition, influence of rill erosion development on slope runoff and soil erosion, benefits and principle of reducing rill erosion amount of mulch, non-tillage system and remained residue, strip alternation of grass and crop, horizontal ditch are also studied. | ZHENG Fenli and TANG Keli (1 The English text has been altered and edited by Dr. DING Lianzhen 2 Engineer, National Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Chinese Academy of Sciences and institute of Soil and Water Conservati | 1997 | International Journal of Sediment Research1997，12，1： | 9 |
| 2 | Seasonal changes of soil erosion and its spatial distribution on a long gentle hillslope in the Chinese Mollisol region显示文摘Understanding seasonal soil erosion and deposition rates and their spatial distribution along sloping farmlands are necessary for erosion prediction technology and implementing effective soil conservation practices.To date seasonal change of soil erosion and soil redistribution on long gentle hillsiopes are not fully quantified due to the variable erosive forces in different seasons.A multi-tracer method using rare earth elements(REE)was employed to discriminate seasonal changes of soil erosion and its spatial distribution on a sloping farmland driven by snowmelt runoff,wind force and rainfall-runoff.A long-slope runoff plot with 5 m wide and 320 m long located in the typical Mollisol region of China was divided into eight segments,each of which was 40 m long and tagged with one of eight REE oxides.The spot method of a partial-area tagging scheme was employed and a grid-based layout was used for REE application.Results showed that annual soil erosion rate was 3251.01 km^(-2)for the whole runoff plot,in which snowmelt runoff erosion contributed 537.3 t km^(-2),wind erosion 363.11 km-2 and rainfall-runoff erosion 2350.6 t km^(-2).Surface runoff is the main external erosive force of hillslope soil erosion,accounting for 88.8%of the total annual soil loss.Furthermore,for the eight slope segments of the 320-m long hillslope,the sediment transport ratios of each slope segment caused by snowmelt runoff and rainfall-runoff erosion were more than 23.5%and 34.7%,respectively.The results will enrich the understanding of seasonal soil erosion on long hillsiopes. | Lei Wang Fenli Zheng Gang Liu Xunchang J.Zhang Glenn V.Wilson Hongqiang Shi Xujun Liu | 2021 | International Soil and Water Conservation Research2021，9，3： | 6 |
| 3 | DOX/IL-2/IFN-g co-loaded thermo-sensitive polypeptide hydrogel for efficient melanoma treatment显示文摘Melanoma has been a serious threat to the human health;however,effective therapeutic methods of this cancer are still limited.Combined local therapy is a crucial approach for achieving a superior anti-tumor efficacy.In this paper,a chemo-immunotherapy system of DOX,IL-2 and IFN-g based on poly(g-ethyl-Lglutamate)-poly(ethylene glycol)-poly(g-ethyl-L-glutamate)(PELG-PEG-PELG)hydrogel was developed for local treatment of melanoma xenograft.The drug release process of this system exhibited a short term of burst release(the first 3 days),followed by a long-term sustained release(the following 26 days).The hydrogel degraded completely within 3 weeks without obvious inflammatory responses in the subcutaneous layer of rats,showing a good biodegradability and biocompatibility.The DOX/IL-2/IFN-g co-loaded hydrogel also showed enhanced anti-tumor effect against B16F10 cells in vitro,through increasing the ratio of cell apoptosis and G2/S phage cycle arrest.Moreover,the combined strategy presented improved therapy efficacy against B16F10 melanoma xenograft without obvious systemic side effects in a nude mice model,which was likely related to both the enhanced tumor cell apoptosis and the increased proliferation of the CD3t/CD4t T-lymphocytes and CD3t/CD8t T-lymphocytes.Overall,the strategy of localized co-delivery of DOX/IL-2/IFN-g using the polypeptide hydrogel provided a promising approach for efficient melanoma therapy. | Qiang Lv Chaoliang He Fenli Quan Shuangjiang Yu Xuesi Chen | 2018 | Bioactive Materials2018，3，1： | 4 |
| 4 | Impact of vegetation succession on leaf-litter-soil C:N:P stoichiometry and their intrinsic relationship in the Ziwuling Area of China’s Loess Plateau显示文摘Long-term natural vegetation succession plays a substantial role in the accumulation and distribution of plant and soil C:N:P stoichiometry.However,how plant and soil C:N:P relationships or ratios change along with successional stages over a century in the severely eroded areas remain unclear.These were measured over a 100-year natural succession in five successional stages from annual grasses to climax forests.The results show that natural succession had significant effects on carbon(C),nitrogen(N)and phosphorous(P)concentrations in leaf-litter-soil and their ratios in severely eroded areas.Nitrogen concentrations and N:P ratios in leaf and litter increased from annual grasses to the shrub stage and then decreased in the late successional forest stages.Leaf P levels decreased from annual grasses to shrub stages and did not significantly change during late successional stages.Litter P concentration decreased in the early successional stages and increased during late successional stages,with no overall significant change.Soil C and N concentrations and C:N,C:P and N:P ratios increased with successional stages.Soil C and N concentrations decreased with the increasing soil depth.Both were significantly different between any successional stages and controls(cropland)in the upper 10 cm and 10–20 cm soil layers.Leaf N:P ratios may be used to indicate nutrient limitations and this study suggests that plant growth during the grass stages was limited by N,during the shrub stage,by P,and during the forest stages,by both of N and P.In addition,there were close correlations between litter and leaf C:N:P ratios,soil and litter C and N levels,and C:P and N:P ratios.These results show that long-term natural vegetation succession is effective in restoring degraded soil properties and improving soil fertility,and provide insights into C:N:P relationships of leaf,litter and soil influenced by vegetation succession stage. | Zongfei Wang Fenli Zheng | 2021 | Journal of Forestry Research2021，32，2： | 4 |
| 5 | Improved USLE-K factor prediction:A case study on water erosion areas in China显示文摘Soil erodibility(K-factor)is an essential factor in soil erosion prediction and conservation practises.The major obstacles to any accurate,large-scale soil erodibility estimation are the lack of necessary data on soil characteristics and the misuse of variable K factor calculators.In this study,we assessed the per-formance of available erodibility estimators Universal Soil Loss Equation(USLE),Revised Universal Soil Loss Equation(RUSLE),Erosion Productivity Impact Calculator(EPIC)and the Geometric Mean Diameter based(Dg)model for different geographic regions based on the Chinese soil erodibility database(CSED).Results showed that previous estimators overestimated almost all K-values.Furthermore,only the USLE and Dg approaches could be directly and reliably applicable to black and loess soil regions.Based on the nonlinear best ftting techniques,we improved soil erodibility prediction by combining Dg and soil or ganic matter(SOM).The NSE,R^(2)and RE values were 0.94,0.67 and 9.5%after calibrating the results independently:similar model performance was showed for the validation process.The results obtained via the proposed approach were more accurate that the former K-value predictions.Moreover,those improvements allowed us to effectively establish a regional soil erodibility map(1:250,000 scale)of water erosion areas in China.The mean K-value of Chinese water erosion regions was 0.0321(t ha h).(ha MJ mm)^(-1)with a standard deviation of 0.0107(t ha h).(ha MJ mm)^(-1);K-values present a decreasing trend from North to South in water erosion areas in China.The yield soil erodibility dataset also sa-tisfactorily corresponded to former K-values from diferent scales(local,regional,and national). | Bin Wang Fenli Zheng Yinghui Guan | 2016 | International Soil and Water Conservation Research2016，4，3： | 2 |
| 6 | A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning显示文摘Antibiotics are widely used in medicine and animal husbandry.However,due to the resistance of antibiotics to degradation,large amounts of antibiotics enter the environment,posing a potential risk to the ecosystem and public health.Therefore,the detection of antibiotics in the environment is necessary.Nevertheless,conventional detection methods usually involve complex pretreatment techniques and expensive instrumentation,which impose considerable time and economic costs.In this paper,we proposed a method for the fast detection of mixed antibiotics based on simplified pretreatment using spectral machine learning.With the help of a modified spectrometer,a large number of characteristic images were generated to map antibiotic information.The relationship between characteristic images and antibiotic concentrations was established by machine learning model.The coefficient of determination and root mean squared error were used to evaluate the prediction performance of the machine learning model.The results show that a well-trained machine learning model can accurately predict multiple antibiotic concentrations simultaneously with almost no pretreatment.The results from this study have some referential value for promoting the development of environmental detection technologies and digital environmental management strategies. | Yicai Huang Jiayuan Chen Qiannan Duan Yunjin Feng Run Luo Wenjing Wang Fenli Liu Sifan Bi Jianchao Lee | 2022 | Frontiers of Environmental Science & Engineering2022，16，3： | 2 |
| 7 | Effects of erosion patterns on nutrient loss following deforestation on the Loess Plateau of China显示文摘 | Fenli Zheng Xiubin He Xuetian Gao | 2005 | Agriculture Ecosystems and Environment2005，108，： | 1 |
| 8 | Effects of near-surface hydraulic gradients on nitrate and phosphorus losses in surface runoff显示文摘 | Zheng Fenli Huang Chihua Darrel norton L | 2004 | Journal of Environment Quality2004，33，6： | 1 |
| 9 | Effects of soil surface hydraulic conditions on nitrate and phosphorus losses in surface runoff 显示文摘 | Zheng Fenli Huang Chihua Darrell N L | 2004 | Environment Quality2004，33，6： | 1 |
| 10 | The role of soil surface water regimes and raindrop impact on hillslope soil erosion and nutrient losses 显示文摘 | An Juan Zheng Fenli Romkens Mathias J M | 2013 | Natural Hazards2013，67，2： | 1 |
| 11 | Modified AGE methodforthe convection diffusion equation显示文摘 | Lu Jinfu Zhang Baolin Zuo Fenli | 1998 | Commun Numer Methods in Engin1998，14，： | 1 |
| 12 | Soil erodibility for water erosion:a perspective and chinese experiences显示文摘 | BIN W FENLI Z MATHIAS J M | 2013 | Geomorphology2013，187，： | 1 |
| 13 | Soil erodibility for water erosion:A perspective and Chinese experiences显示文摘 | Wang Bin Zheng Fenli R?mkens M J M | 2013 | Geomorphology2013，187，： | 1 |
| 14 | Biochemical mechanism studies of venlafaxine by metabonomic method in rat model of depression显示文摘 | Fenli S Feng W Ronghua Z | | 0，，01： | 1 |
| 15 | Biochemicalmechanismstudies of venlafaxine by metabonomic methodin ratmodelofdepression显示文摘 | FenliS FengW RonghuaZ etal | 2013 | Eur Rev Med PharmacolSci2013，17，1： | 1 |
| 16 | Investigating the Role of Raindrop Impact on Hydrodynamic Mechanism of Soil Erosion Under Simulated Rainfall Conditions显示文摘 | Juan An Fenli Zheng Jia Lu Guifang Li | 2012 | Soil Science2012，，8： | 1 |
| 17 | An investigation of moisture sources and secondary evaporation in Lanzhou, Northwest China显示文摘 | Qian Ma Mingjun Zhang Shengjie Wang Qiong Wang Wenli Liu Fei Li Fenli Chen | 2014 | Environmental Earth Sciences2014，，8： | 1 |
| 18 | The role of soil surface water regimes and raindrop impact on hillslope soil erosion and nutrient losses显示文摘 | Juan An Fenli Zheng Mathias J. M. R?mkens Guifang Li Qingsen Yang Leilei Wen Bin Wang | 2013 | Natural Hazards2013，，2： | 1 |
| 19 | Spatially downscaling GCMs outputs to project changes in extreme precipitation and temperature events on the Loess Plateau of China during the 21^st Century显示文摘 | Li Zhi Zheng Fenli Liu Wenzhao | 2012 | Global and Planetary Change2012，8283，： | 1 |
| 20 | Spatiotemporal char- acteristie of potential evapotranspiration during 1961- 2009 and its projected changes during 2011-2099 on the Loess Plateau of China 显示文摘 | Li Zhi Zheng Fenli Liu Wenzhao | 2012 | Agricultural and Forest Me- teorology2012，，： | 1 |
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