Dr. Navendu Chaudhary
@sig.ac.in
Associate Professor
symbiosis Institute of Geoinformatics
EDUCATION
M.S. , Enviornmental Engineering and Management , University of Cincinnati, USA
Ph.D. Geography, GIS/RS, University of Cincinnati, USA
RESEARCH INTERESTS
Broad areas:
• Remote Sensing / GIS
• Sustainable Development
• Environmental Management
Specific areas:
• Spatial Analytics
• Waste Resource Management
• Urban planning & development
• Coastal Management
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Sushil Yewale, Navendu Chaudhary, Demi Miriam, Shital Bhor, Nimisha Dange, Nikhil Shah, Vaman Khadilkar, and Anuradha Khadilkar
Walter de Gruyter GmbH
Abstract Objectives Geographic Information System (GIS) mapping, is a novel way to provide insights into spatial distribution of type 1 diabetes (T1D) and associations between T1D outcomes and potential predictors. We aimed to explore GIS in children with T1D, and identify predictors of poor glycemic control. Methods Design: Cross-sectional; Participants: 402 children and youth (187 boys) with T1D. Place of residence (coordinates) of participants were geocoded in GIS. They were divided into two groups living in urban or peri-urban areas using ArcGIS Pro. The characteristics of urban/peri-urban living were linked to sociodemographic and biochemical data and spatial autocorrelation analysis was performed. Association between glycemic control and distance to our unit was studied. Results Mean age was 13.2 ± 4.7 years; 196 children were living in urban areas, 206 in peri-urban areas. There was significant difference in HbA1c between groups (Urban 9.9 (9.7, 10.2) %, Peri-urban 10.5 (10.1, 10.8) %) (p=0.004); mean difference 0.5 (0.1, 1.0) with poorer glycemic control and higher prevalence of vitamin D sufficiency in peri-urban and higher prevalence of hypothyroidism in urban areas. There was significant correlation between glycemic control (HbA1c) and distance to our unit r=0.108 (0.023, 0.218) (p=0.031). Individuals with an HbA1c ≥9.5 were residing farther away (58.9 (49.4, 68.5) km) as compared to those with HbA1c <9.5 (44.5 (35.1, 53.9) km) (p<0.05). Conclusions Children with T1D when grouped using GIS had differences in glycemic control and comorbidities; peri-urban participants and those residing further away from our unit had poorer glycemic control. Future efforts may be aimed at identifying centers and channelizing resources towards children showing poor glycemic control, thus optimizing disease management.
Hariharan Anantharaman, Navendu Chaudhary, and Vimal Raj
Inderscience Publishers
Jyoti Jain Tholiya and Navendu Chaudhary
IWA Publishing
Abstract Urban water issues impacting sustainable development can be analyzed, modeled, and mapped through cutting-edge geospatial technologies; however, the water sector in developing countries suffers various spatial data-related problems such as limited coverage, unreliable data, limited coordination, and sharing. Available spatial data are limited to the aggregate level (i.e., national, state, and district levels) and lack details to make informed policy decisions and allocations. Despite significant advancements in geospatial technologies, their application and integration at the policy and decision-making level are rare. The current research provides a broad GIS-centric framework for actionable science, which focuses on real context and facilitates geospatial maps and theoretical and practical knowledge to address various water issues. The study demonstrates the application of the proposed Geospatial Framework from technical and institutional perspectives in water-stressed zones in Pune city, showing where and how to solve problems and where proposed actions can most impact creating a sustainable water-secured future. The framework makes it possible for everyone to explore datasets that can provide a baseline for research, and analysis, contribute to the process, propose, and act on solutions, and take the benefits of the outcomes and policy recommendations.
Alok Jhaldiyal and Navendu Chaudhary
Springer Science and Business Media LLC
Jyoti Jain Tholiya, Navendu Chaudhary, and Bhuiyan Monwar Alam
IWA Publishing
Abstract The water supply system in the city of Pune is affected due to the fast and chaotic development in and around the city. The quantity of per capita water supply and hours of supply per day varies substantially across the city. Some central parts of the city benefit from a large availability of water as compared to peripheral areas. This research employed Ordinary Least Squares (OLS) Regression, Geographically Weighted Regression (GWR), and the new version of GWR termed Multi-scale Geographically Weighted Regression (MGWR) models to better understand the factors behind observed spatial patterns of water supply distribution and to predict water supply in newly merged and proposed villages in the Pune city's periphery. Results showed statistical significance of slope; distance from service reservoirs; and water supply hour. MGWR and GWR models improved our results (adjusted R2: 0.916 and 0.710 respectively) significantly over those of the OLS model (adjusted R2: 0.252) and proved how local conditions influence variables. The maps of GWR display how a particular variable is highly important in some areas but less important in other parts of the city. The results from the current study can help decision-makers to make appropriate decisions for future planning to achieve Sustainable Development Goal number 6 (SDG #6), which focuses on achieving universal and equitable access to safe and affordable drinking water for all.
Jyoti Jain Tholiya and Navendu Chaudhary
Informa UK Limited
ABSTRACT Despite significant advances in geospatial technologies, planners, policy, and decision-makers seldom integrate modern geospatial technologies to serve citizens with adequate water supply services. Several researchers have evaluated water supply services’ performance at the national, state, regional and city level; however, challenges remain to solve inequitable distribution of water supply services at the intra-city level. The current research evaluated water supply services’ performance through geospatial techniques in 141 water supply zones in Pune city. We computed performance indicators and water indexes for each water supply zone, analyzed spatially, and compared each zone based on the performance for water supply services. The results found that 50% of the city’s total water supply zones are high-performing, 26% medium-performing, and 24% low-performing zones for their water supply services. The study provides greater efficiencies in problem-solving, identifies areas of improvement, and enables decision-makers to allocate resources to achieve equitable water supply services to their citizens.
Shrikant Mapari and Navendu Chaudhary
Deanship of Scientific Research
S. Bhadauriya, N. Chaudhary, S. Mamatha, and S. S. Ray
Copernicus GmbH
Abstract. Punjab and Haryana are two major Rice-producing states of India. They generate high amount of rice residue every year and these residues are burnt in the months of October and November to clear the fields for the next sowing, i.e. Wheat. Residue burning in these two states is considered to be a major factor for the pollution conditions persisting in Delhi, the capital of the country, during October and November. In this study, we aim to analyse the role of stubble burning on Pollution. The approach aimed at a) Determination of rice straw contingent to open burning in the states of Punjab and Haryana, b) Determine and quantify the air pollutant emissions from rice residue contingent to open burning and c) Compare them with the air pollution of Delhi. Also, in order to analyse the various reasons for the increasing pollution in Delhi, Aerosol Parameters like Aerosol Optical Depth, Angstrom Exponent and Single Scattering Albedo were also studied along with auxiliary data like Temperature, Wind Directions, Wind Trajectories, MODIS Fire Counts and CPCB Pollution Data. In this study, we found that not only residue burnings of Punjab and Haryana, but also dust storms from far beyond these states influence the pollution levels in Delhi, especially in the case of Particulate Matter less than 10.
Dr. Navendu Chaudhary*, , Dr. Pisolkar, and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Sustainable development requires judicious use of resources which can cater for present need and also makes provision for the future. Geospatial technology operates at a regional level as well as micro level by providing a framework for data visualization and analysis which is crucial to the decision making process. Such a platform provides tools that help decision makers analyze complex situations and complete the task with efficiency. Research shows that Geospatial thinking is critical to survive and operate in today’s digitized world. Research has also shown that education in Geospatial technology will be crucial to make workforce competent across all sectors of the economy and it will be particularly necessary for achieving sustainable development goals. Geospatial education in India is lagging behind the rest of the world due to the specific constraints of the University structure in running Interdisciplinary subject. Geography education largely restricts to bachelor degree with little or no technological grounding. This paper is an attempt to critically analyze Geospatial education scenario in India with special reference to the experiences of the teaching Geospatial curriculum at Symbiosis Institute of Geoinformatics. This paper also attempts to evaluate the efforts of integrating research on sustainable development with the core curriculum.
Shrikant Mapari, Navendu Chaudhary, Sachin Naik, and Pravin Metkewar
IEEE
The basic components of chemical expressions and its corresponding reactions are chemical symbols and structures. To recognize a handwritten or printed chemical expression, proper identification of the chemical symbols and structures are important. This paper has reviewed the existing algorithms and models used for identifying the organic chemical structures. The objective of this paper is to find out chemical structures and symbols which are in a handwritten format and proposed model is based on fuzzy image segmentation technique.
Sneha Chopda, Sandipan Das, Navendu Chaudhary, and T. P. Singh
Diva Enterprises Private Limited
Navendu Chaudhary and Yogesh Pisolkar
IGI Global
Coastal Maharashtra is in transition. Growing coastal tourism and allied developmental activities along southern Maharashtra coast needs integration of various stakeholders to address the various issues and concerns. Integrated Coastal Zone Management (ICZM), which can cater to the needs of people while preserving the environment is thus need of the hour. The effects on natural resources, including water, will change the socioeconomic as well as the cultural fabric of coastal communities. This chapter explores a holistic approach to the developmental issues and the impact of climate change on the coastal region with specific cases of villages of Devbag and Tarkarli, coastal Maharashtra, India. It explores both physical and socioeconomic landscapes with special attention given to water resources in the context of changing dynamics of coastal communities and coastal tourism. The chapter discusses the issues and concerns of villages of Devbag and Tarkarli and proposes solutions for a sustainable development.
Robert C. Frohn, Lin Liu, Richard A. Beck, Navendu Chaudhary, and Olimpia Arellano-Neri
SPIE
The purpose of this research was to evaluate six classifiers applied to Landsat-7 data for accuracy of Level II land-cover categories in Ohio. These methods consist of (1) USGS National Land Cover Data; (2) the spectral angle mapper; (3) the maximum likelihood classifier; (4) the maximum likelihood classifier with texture analysis; (5) a recently introduced hybrid artificial neural network; (6) and a recently introduced modified image segmentation and object-oriented processing classifier. The segmentation object-oriented processing (SOOP) classifier outperformed all others with an overall accuracy of 93.8% and Kappa Coefficient of 0.93. SOOP was the only classifier to have by-class producer and user accuracies of 90% or higher for all land-cover categories. A modified artificial neural network (ANN) classifier had the second highest overall accuracy of 87.6% and Kappa of 0.85. The four remaining classifiers had overall accuracies less than 85%. The SOOP classifier was applied to Landsat-7 data to perform a level II land-cover classification for the state of Ohio.
Robert C. Frohn and Navendu Chaudhary
Informa UK Limited
The purpose of this research is to evaluate the utility of image segmentation and object-oriented processing for land cover classification in Ohio. Eight level-II land cover categories were classified using a region-growing segmentation algorithm and object-oriented fuzzy classification membership functions. The overall accuracy of the classification was 93.6%. Producer accuracies ranged from 89.63% for urban/recreational grasses to 98.01% for water. User accuracies ranged from 90.83% for deciduous forest to 99.49% for water. The high classification accuracies are primarily due to: (1) the use of multiple scales in the segmentation process for classification of small to large phenomena at the appropriate scale; (2) integration of textural, contextual, shape, and spectral information in the classification process; and (3) use of multi-temporal data to capture both leaf-on and leaf-off properties of land cover categories.
Vivek P. Utgikar, Navendu Chaudhary, Arthur Koeniger, Henry H. Tabak, John R. Haines, and Rakesh Govind
Elsevier BV
Vivek P. Utgikar, Stephen M. Harmon, Navendu Chaudhary, Henry H. Tabak, Rakesh Govind, and John R. Haines
Wiley
Acid mine drainage (AMD) containing high concentrations of sulfate and heavy metal ions can be treated by biological sulfate reduction. It has been reported that the effect of heavy metals on sulfate‐reducing bacteria (SRB) can be stimulatory at lower concentrations and toxic/inhibitory at higher concentrations. The quantification of the toxic/inhibitory effect of dissolved heavy metals is critical for the design and operation of an effective AMD bioremediation process. Serum bottle and batch reactor studies on metal toxicity to SRB indicate that insoluble metal sulfides can inhibit the SRB activity as well. The mechanism of inhibition is postulated to be external to the bacterial cell. The experimental data indicate that the metal sulfides formed due to the reaction between the dissolved metal and biogenic sulfide act as barriers preventing the access of the reactants (sulfate, organic matter) to the necessary enzymes. Scanning electron micrographs of the SRB cultures exposed to copper and zinc provide supporting evidence for this hypothesis. The SRB cultures retained their ability to effect sulfate reduction indicating that the metal sulfides were not lethally toxic to the SRB. This phenomenon of metal sulfide inhibition of the SRB has to be taken into account while designing a sulfate‐reducing bioreator, and subsequently an efficient biotreatment strategy for AMD. Any metal sulfide formed in the bioreactor needs to be removed immediately from the system to maintain the efficiency of the process of sulfate reduction. © 2002 by Wiley Periodicals, Inc. Environ Toxicol 17: 40–48, 2002
Vivek P. Utgikar, Bor-Yann Chen, Navendu Chaudhary, Henry H. Tabak, John R. Haines, and Rakesh Govind
Wiley
Acid mine drainage from abandoned mines and acid mine pit lakes is an important environmental concern and usually contains appreciable concentrations of heavy metals. Because sulfate‐reducing bacteria (SRB) are involved in the treatment of acid mine drainage, knowledge of acute metal toxicity levels for SRB is essential for the proper functioning of the treatment system for acid mine drainage. Quantification of heavy metal toxicity to mixed cultures of SRB is complicated by the confounding effects of metal hydroxide and sulfide precipitation, biosorption, and complexation with the constituents of the reaction matrix. The objective of this paper was to demonstrate that measurements of dissolved metal concentrations could be used to determine the toxicity parameters for mixed cultures of sulfate‐reducing bacteria. The effective concentration, 100% (EC100), the lowest initial dissolved metal concentrations at which no sulfate reduction is observed, and the effective concentration, 50% (EC50), the initial dissolved metal concentrations resulting in a 50% decrease in sulfate reduction, for copper and zinc were determined in the present study by means of nondestructive, rapid physical and chemical analytical techniques. The reaction medium used in the experiments was designed specifically (in terms of pH and chemical composition) to provide the nutrients necessary for the sulfidogenic activity of the SRB and to preclude chemical precipitation of the metals under investigation. The toxicity‐mitigating effects of biosorption of dissolved metals were also quantified. Anaerobic Hungate tubes were set up (at least in triplicate) and monitored for sulfate‐reduction activity. The onset of SRB activity was detected by the blackening of the reaction mixture because of formation of insoluble ferrous sulfide. The EC100 values were found to be 12 mg/L for copper and 20 mg/L for zinc. The dissolved metal concentration measurements were effective as the indicators of the effect of the heavy metals at concentrations below EC100. The 7‐d EC50 values obtained from the difference between the dissolved metal concentrations for the control tubes (tubes not containing copper or zinc) and tubes containing metals were found to be 10.5 mg/L for copper and 16.5 mg/L for zinc. Measurements of the turbidity and pH, bacterial population estimations by means of a most‐probable number technique, and metal recovery in the sulfide precipitate were found to have only a limited applicability in these determinations.