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Human wetland dependency and socio-economic evaluation of wetland functions through participatory approach in rural India

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Water Science and Engineering 2010年第4期3卷 467-479页

作者： Malabika BISWAS Nihar R.SAMAL pankaj k.roy Asis MAZUMDAR School of Water Resources Engineering Jadavpur University Department of Civil Engineering National Institute of Technology CUNY Institute for Sustainable Cities Hunter CollegeCity University of New York

Wetlands are an important source of natural resources upon which rural economies depend. They have increasingly been valuable for their goods and services, and the intrinsic ecological value they provide to local populations, as well as people living outside the periphery of the wetlands. Stakeholders＇ participation is essential to the protection and preservation of wetlands because it plays a very important role economically as well as ecologically in the wetland system. The objective of this study was to determine whether gender, educational status, mouzas （which are constituents of a block according to the land reform of the West Bengal Government in India）, and wetland functions have any influence on the annual income of the local community. Considering a floodplain wetland in rural India, the focus was extended to recognize the pattern of wetland functions according to the nature of people＇s involvement through cluster analysis of the male and female populations. Using the statistical software R-2.8.1, an ANOVA （analysis of variance） table was constructed. Since the p value （significance level） was lower than 0.05 for each case, it can be concluded that gender, educational status, mouzas, and wetland functions have a significant influence on annual income. However, S-PLUS-2000 was applied to obtain a complete scenario of the pattern of wetland functions, in terms of involvement of males and females, through cluster analysis. The main conclusion is that gender, educational status, mouzas, and wetland functions have significant impacts on annual income, while the pattern of occupation of the local community based on wetland functions is completely different for the male and female populations.

关键词： wetland dependency socio-economic evaluation wetland functions rural India cluster analysis

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Appraisal of pollution and health risks associated with coal mine contaminated soil using multimodal statistical and Fuzzy-TOPSIS approaches

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Frontiers of Environmental Science & Engineering 2024年第5期18卷 101-115页

作者： Sumit kumar Sonali Banerjee Saibal Ghosh Santanu Majumder Jajati Mandal pankaj kumar roy Pradip Bhattacharyya Agricultural and Ecological Research Unit Indian Statistical InstituteGiridih815301India Department of Life and Environmental Sciences Bournemouth University(Talbot Campus)Fern BarrowPooleBH12 5BBUK School of Sciences Engineering & EnvironmentUniversity of SalfordSalfordM5 4QJUK School of Water Resource Engineering Jadavpur UniversityKolkata700032India School of Environmental Studies Jadavpur UniversityKolkata700032India

The present study assesses the concentration,probabilistic risk,source classification,and dietary risk arising from heavy metal(HMs)pollution in agricultural soils affected by coal mining in eastern part of *** of soil and rice plant indicated significantly elevated levels of HMs beyond the permissible limit in the contaminated zones(zone 1:PbSoil:108.24±72.97,CuSoil:57.26±23.91,CdSoil:8.44±2.76,CrSoil:180.05±46.90,NiSoil:70.79±25.06 mg/kg;PbGrain:0.96±0.8,CuGrain:8.6±5.1,CdGrain:0.65±0.42,CrGrain:4.78±1.89,NiGrain:11.74±4.38 mg/*** 2:PbSoil:139.56±69.46,CuSoil:69.89±19.86,CdSoil:8.95±2.57,CrSoil:245.46±70.66,NiSoil:95.46±22.89 mg/kg;PbGrain:1.27±0.84,CuGrain:7.9±4.57,CdGrain:0.76±0.43,CrGrain:8.6±1.58,NiGrain:11.50±2.46 mg/kg)compared to the uncontaminated zone(zone 3).Carcinogenic and non-carcinogenic health risks were computed based on the HMs concentration in the soil and rice grain,with Pb,Cr,and Ni identified as posing a high risk to human *** Carlo simulation,the solubility-free ion activity model(FIAM),and severity adjusted margin of exposure(SAMOE)were employed to predict health *** hazard quotient(HQ)values for Ni,Cr,Cd,and Pb were>1,indicating a significant non-carcinogenic ***(risk thermometer)results for contaminated zones ranged from low to moderate risk(CrSAMOE:0.05,and NiSAMOE:0.03).Fuzzy-TOPSIS and variable importance plots(from random forest)showed that Ni and Cr were mostly responsible for the toxicity in the rice plant,respectively.A self-organizing map for source classification revealed common origin for the studied HMs with zone 2 exhibiting the highest *** positive matrix factorization model for the source apportionment identified coal mining and transportation as the predominant sources of *** distribution analysis indicated higher contamination near mining sites as compared to distant sampling ***,this study will aid environmental scientists and policymakers controllin

关键词： Coal mine Free ion activity model Monto Carlo Simulation Pollution and Health risk Fuzzy-TOPSIS

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Atherosclerotic plaque classification in carotid ultrasound images using machine learning and explainable deep learning

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Intelligent Medicine 2024年第2期4卷 83-95页

作者： Soni Singh pankaj k.Jain Neeraj Sharma Mausumi Pohit Sudipta roy School of Vocational Studies and Applied Sciences Gautam Buddha UniversityGreater NoidaUttar PradeshIndia Artificial Intelligence and Data Science Jio Institute Navi MumbaiMaharashtraIndia School of Biomedical Engineering Indian Institute of TechnologyVaranasiUttar PradeshIndia

Objective The incidence of cardiovascular diseases(CVD)is rising rapidly *** forms of CVD,such as stroke and heart attack,are more common among patients with certain *** development is a major factor underlying cardiovascular events,such as heart attack and stroke,and its early detection may prevent such *** imaging of carotid arteries is a useful method for diagnosis of atherosclerotic plaques;however,an automated method to classify atherosclerotic plaques for evaluation of early-stage CVD is ***,we propose an automated method for classification of high-risk atherosclerotic plaque ultrasound *** Five deep learning(DL)models(VGG16,ResNet-50,GoogLeNet,XceptionNet,and SqueezeNet)were used for automated classification and the results compared with those of a machine learning(ML)-based technique,involving extraction of 23 texture features from ultrasound images and classification using a Support Vector Machine *** enhance model interpretability,output gradient-weighted convolutional activation maps(GradCAMs)were generated and overlayed on original *** A series of indices,including accuracy,sensitivity,specificity,F1-score,Cohen-kappa index,and area under the curve values,were calculated to evaluate model *** output images allowed visualization of the most significant ultrasound image *** GoogLeNet model yielded the highest accuracy(98.20%).Conclusion ML models may be also suitable for applications requiring low computational ***,DL models could be more completely automated than ML models.

关键词： Explainable deep learning Carotid artery Classification VGG 16 ResNet-50 GoogLeNet XceptionNet SqueezeNet

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Identification and elucidation of anthropogenic source contribution in PM_(10) pollutant: Insight gain from dispersion and receptor models

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Journal of Environmental Sciences 2016年第10期28卷 69-78页

作者： Debananda roy Gurdeep Singh pankaj Yadav Dept. of Environmental Science & Engineering Marwadi Education Foundation & Group of Institutions Centre of Mining Environment /Department of Environmental Science & Engineering Indian School of Mines Dept. of Physics Marwadi Education Foundation & Group of Institutions

Source apportionment study of PM10 （Particulate Matter） in a critically polluted area of Jhafia coalfield, India has been carried out using Dispersion model, Principle Component Analysis （PCA） and Chemical Mass Balance （CMB） techniques. Dispersion model Atmospheric Dispersion Model （AERMOD） was introduced to simplify the complexity of sources in Jharia coalfield. PCA and CMB analysis indicates that monitoring stations near the mining area were mainly affected by the emission from open coal mining and its associated activities such as coal transportation, loading and unloading of coal. Mine fire emission also contributed a considerable amount of particulate matters in monitoring stations. Locations in the city area were mostly affected by vehicular, Liquid Petroleum Gas （LPG）＆ Diesel Generator （DG） set emissions, residential, and commercial activities. The experimental data sampling and their analysis could aid understanding how dispersion based model technique along with receptor model based concept can be strategically used for quantitative analysis of Natural and Anthropogenic sources of PM10.

关键词： Source apportionment PM10 PCAReceptor modelDispersion modelJharia coalfield

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Pediatric thermal burn injury:A retrospective analysis from pediatric care institutes,Eastern India

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Journal of Integrative Nursing 2023年第2期5卷 108-114页

作者： kartik Chandra MANDAL Sourav roy pankaj kumar HALDER Partha CHAkRABORTY L.NEILASANO Debasree GUHA Department of Pediatric Surgery Dr.B.C.Roy Post Graduate Institute of Pediatric SciencesKolkataWest BengalIndia Department of Pediatric Surgery R.G.Kar Medical CollegeKolkataWest BengalIndia Department of General Surgery R.G.Kar Medical CollegeKolkataWest BengalIndia Department of Pediatric Medicine R.G.Kar Medical CollegeKolkataWest BengalIndia

Objective:Pediatric burns pose difficult healthcare issues in underdeveloped *** to the scarcity of pediatric burn care facilities and qualified burn‑care staff,patients are frequently referred from a rural *** study explores the burn‑treatment approach that could be used in rural hospitals in the absence of a dedicated pediatric burn care *** and Methods:A retrospective analysis of clinical data of 199 children who received treatment for burn‑injury in an isolated general surgical *** debridement under anesthesia at the earliest was the cornerstone of the treatment plan for this *** the wounds healed,the treatment was repeated every alternate *** patient’s demographic data,number of surgical dressings,length of hospital stay,and outcome were ***:The mean age of the patients was 51.68±23.79 *** male‑female ratio was 1.45:*** survival rate was 99.00%.The disability rate was 4.52%.Univariate logistic regression identified the age group,total body surface area affected,depth of the wound,and time of intervention as statistically significant variables(Pkin grafts or contracture *** approach can be used in rural hospitals as well because pediatric burns can be manageable in an isolated general ward.

关键词： Anesthesia burn cleaning closed debridement dehydration hypothermia paraffin oil pediatric

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Impact of Land Use and Aquatic Plants on the Water Quality of the Sub-Tropical Alpine Wetlands in India: A Case Study Using Neuro-Genetic Models

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Journal of Water Resource and Protection 2012年第8期4卷 576-589页

作者： Malabika Biswas roy pankaj k. roy Asis Mazumdar Mrinmoy Majumder Nihar R. Samal Jadavpur University National Institute of Technology West Bengal State University

The suspended and dissolved waste in the incoming storm water of wetlands largely depends on the adjacent land use which can influence the quality of the water body. The micro- and macro-floral population of a wetland can absorb, convert, transform and release different organic or inorganic elements, which can also change or impact the overall quality of the wetland water. The present study investigates the influence of the land use and the plant species in the waterbed on the water quality of a high-altitude, sub-tropical wetland in India. The estimation capabilities of neuro-genetic models were utilized to identify the inherent relationships between the Biochemical Oxygen Demand (BOD), Dissolved Oxygen (DO), chlorine (Cl) and Chemical Oxygen Demand (COD) with the land use and wetland zoology. A thematic map of the quality parameters was also generated based on the identified relationship to observe the influence that the morphological and biological diversity in and around the study area has on the quality parameters of the wetland. According to the results, the BOD, COD and Cl were found to vary with differences in land use and the presence of different plant species, whereas the DO was found to be largely invariant with changes in these parameters. The reasons may be contributed to the impact of uncontrolled eco-tourism activities around the wetland.

关键词： Wetland Neural Network Water Quality Land Use Aquatic Plants

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Lean Management Based Sustainable Transport System for Surat Metropolitan Area in the Context of Industrial Development

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Journal of Traffic and Transportation Engineering 2017年第3期5卷 147-156页

作者： Suresh Sharma pankaj J. Gandhi Anil kumar roy Doctoral student Faculty of Business and Management Himalayan University Surat 395009 India Ph.D. Guide Visiting Faculty at Veer Narmad South Gujarat University Surat 395009 lndia Faculty of Planning CEPT University Ahmedabad 380009 lndia

Surat city is continuously expanding with industrial development. Despite several flyovers, traffic congestion continues in the heart of city. Therefore, fresh transportation planning is at anvil. Simultaneously, further expansion plan is under consideration to create yet another, the 10th industrial zone. Purpose of this paper is to explore lean management based sustainable transport system for meeting the increasing needs of people and supply-chain. The research examines different mode of transportation like; vehicles on road, rail on the land, and steamers through the sea route to provide connectivity. This study may support the planners of the smart city. The study intends to find how lean management can be integrated to sustainable transport system meeting objectives of lean and sustainability both. Lean management system claims to be capable of eliminating all type of wastes including those associated with transport system. On the other hand, sustainable transport claims to meet the needs of people in personal economic lives, importantly respecting the need of future generations. Therefore, this applied research aims to find a lean and sustainable transport solution. This research work can be seen as descriptive type as it includes survey of location and fact finding enquiries.

关键词： Lean management sustainable development environment health and safety people-planet-profit.

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Genetic Diversity and Lineage Based on SSR Markers of Two Genomic Resources among <i>Trifolium</i>Collections Held within the Australian Pastures Genebank

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Open Journal of Genetics 2019年第1期9卷 1-14页

作者： Devendra R. Malaviya Harsh Raman Brian S. Dear Rosy Raman Ajoy k. roy pankaj kaushal Amaresh Chandra Steve J. Hughes ICAR—Indian Institute of Sugarcane Research Lucknow India Graham Centre for Agricultural Innovation Wagga Wagga Australia ICAR—Indian Grassland and Fodder Research Institute Jhansi India ICAR—National Institute of Biotic Stress Management Raipur India South Australian Research & Development Institute Urrbrae Australia

Trifolium alexandrinum, an important forage legume, suffers from narrow genetic base. The present investigation was envisaged to reveal the inter- and intra-species genetic diversity and lineage among 64 accessions, representing a global collection, of T. alexandrinum;it’s two probable progenitor species (T. salmoneum and T. subterraneum) and the three genetically distant species (T. repens, T. vesiculosum, T. michelianum). A set of Simple Sequence Repeats (SSR) primer-pairs developed from T. alexandrinum have shown to amplify alleles across the species under study, suggesting utility of the newly developed resource for assessing molecular diversity among Trifolium species. These SSRs markers together with previously reported SSRs, derived from T. repens, enabled to reveal high intra-species polymorphism in T. alexandrinum and successfully discriminate different species investigated in this study. The diverse accessions determined herein provide a superior resource for further breeding of T. alexandrinum. High allelic similarity of T. alexandrinum with T. subterraneum and T. salmoneum indicated close relatedness among the species, suggesting polyphyletic evolution of T. alexandrinum.

关键词： Egyptian Clover Evolution Genetic Resource Molecular Diversity

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烧结工序中转炉渣的优化利用(英文)

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世界钢铁 2011年第3期11卷 22-29页

作者： T Umadevi pankaj roy P C Mahapatra M Prabhu Madhu Ranjan 金达尔钢公司

钢铁厂产生的矿渣中很大一部分来自氧气顶吹转炉(LD转炉)和吹氧转炉工序。LD工序的主要目的是将熔融的铁水和废钢转化为优质钢。在印度,每年产生的熔融钢渣超过400～450万t。总体看来,生产每吨钢会产生150～200 kg的钢渣,对这些钢渣的... 详细信息

钢铁厂产生的矿渣中很大一部分来自氧气顶吹转炉(LD转炉)和吹氧转炉工序。LD工序的主要目的是将熔融的铁水和废钢转化为优质钢。在印度,每年产生的熔融钢渣超过400～450万t。总体看来,生产每吨钢会产生150～200 kg的钢渣,对这些钢渣的处理已经成为了严重的环境问题。金达尔钢公司是年产700万t的联合钢厂,每天产生钢渣3 200 t,其中2 000～2 500 t来自LD转炉。LD转炉渣中含有47.75%的CaO,22.0%的Fe以及8.22%MgO,由于CaO含量很高,LD转炉渣可直接替代烧结工序中的生石灰。目前在实验室范围已进行了一些研究,以确定烧结工序中所允许的LD转炉渣的最大投加量以及转炉渣的投加对烧结产率和性能的影响。实验中,LD转炉渣在烧结矿里的添加量从0依次到60 kg/。t随着添加率的增大,烧结料层温度的降低致使FeO含量降低,而烧结配矿中烧损的降低以及由于避免了石灰石煅烧过程带来的的重量损失,使得烧结产率上升。与此同时,LD转炉渣中缺少自由的CaO,使烧结矿强度及还原粉化指数变差,可参加反应的CaO的减少也导致了铁酸钙相减少,及残存Fe2O3自由相增加。试验结果最终得出:烧结矿中LD转炉渣的投加量为30～35 kg/t时,可获得预期的烧结矿性能。

关键词：烧结转炉渣实验添加

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Impact of Land Use and Aquatic Plants on the Water Quality of the Sub-Tropical Alpine Wetlands in India: A Case Study Using Neuro-Genetic Models

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Journal of Water Resource and Protection（水资源与保护） 2012年第8期

作者： Malabika Biswas roy pankaj k. roy Asis Mazumdar Mrinmoy Majumder Nihar R. Samal

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