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Journal of Forestry Research 2018年第5期29卷 1241-1249页

作者： s.c.das M.s.Alam M.A.Hossain Institute of Forestry and Environmental sciences University of Chittagong

Fasiakhali Wildlife sanctuary is a protected area composed of tropical remnant rainforest that harbor substantial number of large,old Garjan（Dipterocarpus spp.）*** present study assessed composition,structure and diversity of the species in this protected area.A total of 32 trees species were recorded with DBH ≥ 11 cm belonging to 24 genera and 19 *** forest is low in plant diversity as represented by shannon–Wiener diversity and simpson Dominance *** turbinatus was the most dominant species with maximum relative density,frequency,dominance,and importance value *** firmum and Tectona grandis followed in terms of *** structural composition indicated higher number of individuals in the medium growth classes（41 to 〈 511 cm DBH and 16–20 m height ranges）,whereas *** was the only species that dominated most of the growth *** stem density in lower growth classes indicated meager recruitment of regeneration which may be due to lower annual precipitation,increased grazing and *** study will help to understand the patterns of tree species composition and diversity in the remnant dipterocarp forests of *** will also contribute to identifying threatened plants to undertake *** based conservation and sustainable management of the Fasiakhali Wildlife sanctuary.

关键词： species diversity structural composition Protected area Importance value index cluster analysis

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从含有机添加剂的氯化铅电解液中电积铅

有色矿冶 1990年第2期6卷 32-37页

作者： s.c.das 李义根

对含添加剂的氯化铅电解液进行了电积铅的研究。添加剂分别为松香,镁絮凝剂,明胶,骨胶,β—荼酚以及骨胶加β—荼酚。初步研究表明,同时含骨胶及β—荼酚添加剂的氯化物电解液,可产出较致密的铅沉积物,且电流效率较高。研究了铅、骨胶... 详细信息

对含添加剂的氯化铅电解液进行了电积铅的研究。添加剂分别为松香,镁絮凝剂,明胶,骨胶,β—荼酚以及骨胶加β—荼酚。初步研究表明,同时含骨胶及β—荼酚添加剂的氯化物电解液,可产出较致密的铅沉积物,且电流效率较高。研究了铅、骨胶与β—荼酚的浓度、溶液pH值,温度、电流密度等参数对电流效率,沉积物特性及阴极电位的影响。结果表明,当电解液含铅30g/l,骨胶2g/l β—荼酚0.1g/l,pH0.75～0.95,温度70℃及电流密度50A/m^2时,可获得致密铅,其电流效率约90%。搅拌电解液可提高电流效率约5%,并使沉积物特性得到改善。

关键词：铅电积电解液氯化铅

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采用FesO4浸出法从低品位锰矿石提取锰

矿产综合利用 1982年第4期 108-117页

作者： s.c.das 王玉心

报导了采用硫酸亚铁浸出法从印度Orissa的低品位矿石回收锰的研究结果。在试验室规模的试验中,详细研究了包括搅拌速度、硫酸亚铁用量、固-液比、温度、浸出时间和粒度的各项过程参数,并且确定了最佳条件。也研究了用硫酸亚铁浸出矿石时... 详细信息

报导了采用硫酸亚铁浸出法从印度Orissa的低品位矿石回收锰的研究结果。在试验室规模的试验中,详细研究了包括搅拌速度、硫酸亚铁用量、固-液比、温度、浸出时间和粒度的各项过程参数,并且确定了最佳条件。也研究了用硫酸亚铁浸出矿石时,酸添加量的影响。本试验的结果与用合成酸洗溶液处理矿石的结果做了对比,并且还研究了矿石预还原的影响。

关键词：氧化锰矿石硫酸亚铁绿矾硫酸盐 FesO4 酸洗液提取率化学计量硫酸亚铁溶液低品位锰矿浸出剂硫酸亚铁浸出浸出液搅拌速度

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钴的电积

湖南冶金 1985年第3期 45-49页

作者： s.c.das T.sUBBAIAH 周敬元

由于金属钴大量地用于工业和军用航空发动机以及航天研究方面,因此它已成为一种战略性的金属。钴主要是通过湿法冶金过程回收。金属钴大多数是通过钴盐溶液(通常是硫酸钴溶液)的电解还原法来生产的。本文对纯硫酸钴溶液的钴电积进行详... 详细信息

由于金属钴大量地用于工业和军用航空发动机以及航天研究方面,因此它已成为一种战略性的金属。钴主要是通过湿法冶金过程回收。金属钴大多数是通过钴盐溶液(通常是硫酸钴溶液)的电解还原法来生产的。本文对纯硫酸钴溶液的钴电积进行详细的介绍。溶液中没有加入任何添加剂或缓冲剂,因为在实践中常常是用纯硫酸钴溶液。对影响沉积物的物理外观和电流效率的各种

关键词：电流效率电流密度电能消耗 pH 能量消耗电积电解液温度

茶树组织培养:植株再生和在苗圃中的移植生长

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茶叶科学技术 1990年第4期 41-,43页

作者： s.c.das T.T.Barman R.singh

在含0.5mg/1IBA的滤纸桥系统和液体振荡培养及在土壤:泥炭(1:1)混合物中,获得了根的产生.虽然用液体振荡培养方法其根的发生较快,但这些植株移植在土壤中的生长较差;在土壤和泥炭混合物中直接生根虽然较慢,但将植株定植在大气环境的土... 详细信息

在含0.5mg/1IBA的滤纸桥系统和液体振荡培养及在土壤:泥炭(1:1)混合物中,获得了根的产生.虽然用液体振荡培养方法其根的发生较快,但这些植株移植在土壤中的生长较差;在土壤和泥炭混合物中直接生根虽然较慢,但将植株定植在大气环境的土壤中生长较好.将植株用低温、漫射光和高湿度预处理,能使植株更加强壮,且提高了植株在苗圃中的移植成功率.本研究的目的在于:a)发展一种再生苗有效生根的技术;b)使生根苗成功地移植于土壤的技术标准化;c)使植株适应大田环境.

关键词：组织培养液体振荡再生苗生根苗漫射光大气环境愈伤组织技术标准化塑料钵培苗

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用硫酸亚铁浸出低品位锰矿石提取锰

中国锰业 1985年第4期 60-67页

作者： s.c.das P.K.sahoo P.K.Rao 谌曙永

本文报导了用硫酸亚铁溶液浸出印度奥里萨低品位锰矿回收锰的研究。对各种不同参数,包括搅拌速率、硫酸亚铁量、固液比、温度、浸出时间和颗粒大小作了详细研究,确立了实验室规模下的最佳条件。对用硫酸亚铁浸锰时,添加硫酸的影响也作... 详细信息

本文报导了用硫酸亚铁溶液浸出印度奥里萨低品位锰矿回收锰的研究。对各种不同参数,包括搅拌速率、硫酸亚铁量、固液比、温度、浸出时间和颗粒大小作了详细研究,确立了实验室规模下的最佳条件。对用硫酸亚铁浸锰时,添加硫酸的影响也作了研究。对用合成酸洗液处理矿石,以及矿石预还原的影响也作了研究,并对所得结果的数据进行了比较。

关键词：硫酸亚铁 Oc 绿矾硫酸盐化学计算量氧化锰矿石酸洗液浸出率固液比硫酸硫化合物低品位锰矿硫酸亚铁溶液

A review on transition metal oxides based photocatalysts for degradation of synthetic organic pollutants

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Journal of Environmental sciences 2024年第5期139卷 389-417页

作者： Athira Krishnan Anna swarnalal Divine das Midhina Krishnan Viswanathan s.saji sMAshibli Department of chemistry Amrita Vishwa VidyapeethamAmritapuriKerala690525India Interdisciplinary Research center for Advanced Materials King Fahd University of Petroleum&MineralsDhahran31261Saudi Arabia Department of chemistry University of KeralaKariavattom CampusThiruvananthapuramKerala695581India

This review provides insight into the current research trend in transition metal oxides(TMOs)-based photocatalysis in removing the organic colouring matters from *** easy understanding,the research progress has been presented in four generations according to the catalyst composition and mode of application,viz:single component TMOs(the firstgeneration),doped TMOs/binary TMOs/doped binary TMOs(the second-generation),inactive/active support-immobilized TMOs(the third-generation),and ternary/quaternary compositions(the fourth-generation).The first two generations represent suspended catalysts,the third generation is supported catalysts,and the fourth generation can be suspended or *** review provides an elaborated comparison between suspended and supported catalysts,their general/specific requirements,key factors controlling degradation,and the methodologies for performance *** the plausible fundamental and advanced dye degradation mechanisms involved in each generation of catalysts were *** existing challenges in TMOs-based photocatalysis and how the researchers approach the hitch to resolve it effectively are *** research trends are also presented.

关键词： Photocatalysis Dye degradation Transition metal oxides and composites supported catalysts suspended catalysts

Magnesium oxide(MgO)nanoadsorbents in wastewater treatment:A comprehensive review

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Journal of Magnesium and Alloys 2024年第5期12卷 1709-1773页

作者： H.c.s.Perera V.Gurunanthanan Anoop singh M.M.M.G.P.G.Mantilaka G.das sandeep Arya Department of Physics Khalifa UniversityAbu Dhabi12788United Arab Emirates Postgraduate Institute of science University of PeradeniyaPeradeniyaSri Lanka Department of Humanities and sciences Guru Nanak Institutions Technical CampusIbrahimpatnamHyderabad501506India centre for Global Health Research Saveetha Medical College and HospitalsSaveetha Institute of Medical and Technical SciencesChennai602105Tamil NaduIndia Department of Physics University of JammuJammu and Kashmir180006India

Wastewater contamination by heavy metals and synthetic dyes presents a significant environmental challenge,necessitating effective and sustainable separation *** review article provides a detailed examination of magnesium oxide(MgO)nanoparticles as an innovative nanoadsorbent for wastewater treatment,with a specific focus on heavy metal and dye *** review comprehensively explores various aspects of MgO nanoparticles,including their structural characteristics and synthesis *** article delves into the morphology and crystallographic arrangement of MgO nanoparticles,offering insights into their structural *** the complexity of adsorption processes,the review identifies and analyzes parameters influencing the adsorption efficiency of MgO nanoparticles,such as temperature,pH,contact time,initial concentration,and co-existing *** interplay between these parameters and the adsorption capability of MgO nanoparticles emphasizes the importance of optimizing operational ***,the review assesses various synthesis methods for MgO nanoparticles,including sol-gel,hydrothermal,precipitation,green synthesis,solvothermal,and template-assisted *** discusses the advantages,limitations,and resulting nanoparticle characteristics of each method,enabling readers to grasp the implications of synthesis processes on adsorption *** comprehensive review consolidates current insights into the effectiveness of MgO nanoparticles as a potent nanoadsorbent for removing heavy metals and dyes from wastewater covering a wide spectrum of aspects related to MgO ***,there is a need to investigate the use of MgO in the treatment of actual wastewater or river water,in order to leverage its cost-effectiveness and high efficiency for practical water treatment applications in real-time.

关键词： MgO nanoparticles Nanoadsorbent Wastewater treatment Heavy metals Dye separation Adsorption synthesis methods

High performance in Zintl thermoelectrics via reduction in crystal field splitting energy

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science china Materials 2024年第10期67卷 3424-3425页

作者： Anustoop das Kanishka Biswas New chemistry Unit School of Advanced Materials and International Centre for Materials Science Jawaharlal Nehru Centre for Advanced Scientific Research(JNCASR)

sustainable thermoelectric materials open an avenue of emission-free as well as fast-responding recycling of energy in terms of heat to *** efficiency （η） of such conversion is primarily guided by the dimensionless thermoelectric figure of merit （zT）,which depends on parameters like seebeck coefficient （s）,electrical conductivity （σ）,and thermal conductivity（κ） at a given temperature （T）,which are adversely interrelated to each other （zT=s2σT/κ）[1,2].

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A machine learning approach for the prediction of pore pressure using well log data of Hikurangi Tuaheni Zone of IODP Expedition 372,New Zealand

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Energy Geoscience

Energy Geoscience 2024年第2期5卷 225-231页

作者： Goutami das saumen Maiti Machine Learning and Geocomputing Laboratory Department of Applied GeophysicsIIT(ISM)Dhanbad826004JharkhandIndia

Pore pressure(PP)information plays an important role in analysing the geomechanical properties of the reservoir and hydrocarbon field *** prediction is an essential requirement to ensure safe drilling operations and it is a fundamental input for well design,and mud weight estimation for wellbore ***,the pore pressure trend prediction in complex geological provinces is challenging particularly at oceanic slope setting,where sedimentation rate is relatively high and PP can be driven by various complex *** overcome these difficulties,an advanced machine learning(ML)tool is implemented in combination with empirical *** empirical method for PP prediction is comprised of data pre-processing and model establishment ***'s method and Porosity method have been used for PP calculation of the well U1517A located at Tuaheni Landslide complex of Hikurangi subduction zone of IODP expedition ***-ray,sonic travel time,bulk density and sonic derived porosity are extracted from well log data for the theoretical framework *** normal compaction trend(NcT)curve analysis is used to check the optimum fitting of the low permeable zone *** statistical analysis is done using the histogram analysis and Pearson correlation coefficient matrix with PP data series to identify potential input combinations for ML-based predictive model *** dataset is prepared and divided into two parts:Training and *** PP data and well log of borehole U1517A is pre-processed to scale in between[-1,+1]to fit into the input range of the non-linear activation/transfer function of the decision tree regression *** Decision Tree Regression(DTR)algorithm is built and compared to the model performance to predict the PP and identify the overpressure zone in Hikurangi Tuaheni Zone of IODP Expedition 372.

关键词： Well log Pore pressure Machine learning(ML) IODP Hikurangi Tuaheni Zone IODP Expedition 372