Kanchan Chandrashekhar Khare
@siu.edu.in
Professor & Head
symbiosis Institute of Technology
RESEARCH INTERESTS
Water , Environment , Sustainability
Scopus Publications
Scopus Publications
Vandana Patyal, Dipika Jaspal, and Kanchan Khare
Elsevier BV
Sagar Kolekar, Pranav Sankapal, Kanchan Khare, and Pennan Chinnasamy
Elsevier BV
Mugdha P. Kshirsagar and Kanchan C. Khare
MDPI AG
The present study is an attempt to model the stormwater quality of a stream located in Pune, India. The city is split up into twenty-three basins (named A to W) by the Pune Municipal Corporation. The selected stream lies in the haphazardly expanded peri-urban G basin. The G basin has constructed stormwater drains which open up in this selected open stream. The runoff over the regions picks up the non-point source pollutants which are also added to the selected stream. The study becomes more complex as the stream is misused to dump trash materials, garbage and roadside litter, which adds to the stormwater pollution. Experimental investigations include eleven distinct locations on a naturally occurring stream in the G basin. Stormwater samples were collected for twenty-two storm events, for the monsoon season over four years from 2018–2021, during and after rainfall. The physicochemical characteristics were analyzed for twelve water quality parameters, including pH, Conductivity, Turbidity, Total solids (TS), Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Bio-chemical Oxygen Demand (BOD5), Chemical Oxygen Demand (COD), Dissolved Oxygen (DO), Phosphate, Ammonia and Nitrate. The Water Quality Index (WQI) ranged from 46.9 to 153.9 and from 41.20 to 87.70 for samples collected during and immediately after the rainfall, respectively. Principal Component Analysis was used to extract the most significant stormwater quality parameters. To understand the non-linear complex relationship of rainfall characteristics with significant stormwater pollutant parameters, a Support Vector Regression (SVR) model with Radial Basis Kernel Function (RBF) was developed. The Support Vector Machine is a powerful supervised algorithm that works best on smaller datasets but on complex ones with the help of kernel tricks. The accuracy of the model was evaluated based on normalized root-mean-square error (NRMSE), coefficient of determination (R2) and the ratio of performance to the interquartile range (RPIQ). The SVR model depicted the best performance for parameter TS with NRMSE (0.17), R2 (0.82) and RPIQ (2.91). The unit increase or decrease in the coefficients of rainfall characteristics displays the weighted deviation in the values of pollutant parameters. Non-linear Support Vector Regression models confirmed that both antecedent dry days and rainfall are correlated with significant stormwater quality parameters. The conclusions drawn can provide effective information to decision-makers to employ an appropriate treatment train approach of varied source control measures (SCM) to be proposed to treat and mitigate runoff in an open stream. This holistic approach serves the stakeholder’s objectives to manage stormwater efficiently. The research can be further extended by selecting a multi-criteria decision-making tool to adopt the best SCM and its multiple potential combinations.
Vandana Patyal, Dipika Jaspal, and Kanchan Khare
Elsevier
Mugdha Kshirsagar and Kanchan Khare
Seventh Sense Research Group Journals
Vandana Patyal, Dipika Jaspal, and Kanchan Khare
Wiley
Vaishnavi Dabir, Kanchan Khare, and Mutukuru Gangireddy Munireddy
MDPI AG
The recent trend in coastal research centers around environmental sustainability, especially in coastal conservation. A seawall typically has three layers, namely core, filter, and hard rubble/concrete armor. In the current study, a two-layered seawall is proposed, comprising a coir geotextile roll from the coastal regions, along with sand encapsulated in a geotextile over an impermeable core. This can be considered as a quasi-soft solution against the traditional, three-layered, hard alternative. The objective of this study is to investigate the combined effect of slope and porosity, of this composite structure, on the wave reflection. The findings show that the composite structure provides less reflection coefficient values compared to traditional rubble mound seawalls. Four orientations and positions of coir rolls with geosynthetic sandbag were tested. The armor layer with coir rolls overlain by geosynthetic sandbags over an impermeable core could be a better alternative, as it increases the hydrodynamic performance by 59% as compared to sandbags, used alone, over an impermeable core on a slope of 1:2.
Manali Date, Vandana Patyal, Dipika Jaspal, Arti Malviya, and Kanchan Khare
Elsevier BV
Dabir V. V, Shinde S. R, Khare K. C, and Londhe S. N
Seventh Sense Research Group Journals
Vandana Patyal, Dipika Jaspal, Amit K. Tiwari, and Kanchan Khare
Springer Science and Business Media LLC
Research related to phosphorus (P) removal in domestic wastewater treatment has increased manifolds due to stress on freshwater resources globally. Constructed Wetlands (CWs) have gained popularity as an innovative, sustainable, and cost-effective technology in this direction. This review summarizes the various patenting patterns and innovations related to the application of CWs for the removal of P from domestic wastewater. For this purpose, the Relecura patent database has been used. The patent landscape has been analyzed based on application volume, patent geographical details, application organization, main technologies, keywords, concepts, assignees, code analysis, and citation analysis. The results indicate that a total of 115 patents have been filed in this field of research, out of which 76 are patent applications and 39 granted patents which indicates a tough examination cycle and a limited rate of the grant of patent applications. China is leading with a total patent count of 105 and also in terms of citations, inventors, and assignees. Based on citations most of the patents are related to efficient sewage treatment systems by incorporation of solar heating, immobilized bed, moving bed, double layer wetland system, and composite filling material systems. The study cogitates about inventions and utility model patents related to different configurations and types of artificial wetlands employing natural, waste, and synthesized material adsorbents. Synthesized adsorbents utilizing low-cost materials to improve P adsorption have been shown to have an added economic and environmental advantage of extending the filler replacement cycle and minimization of secondary pollution.
Rushikesh Kulkarni, Kanchan Khare, and Humera Khanum
F1000 Research Ltd
Background: Recent developments in optical satellite remote sensing have led to a new era in the detection of surface water with its changing dynamics. This study presents the creation of surface water inventory for a part of Pune district (an administrative area), in India using the Landsat 8 Operational Land Imager (OLI) and a multi spectral water indices method. Methods: A total of 13 Landsat 8 OLI cloud free images were analyzed for surface water detection. Modified Normalized Difference Water Index (MNDWI) spectral index method was employed to enhance the water pixels in the image. Water and non-water areas in the map were discriminated using the threshold slicing method with a trial and error approach. The accuracy analysis based on kappa coefficient and percentage of the correctly classified pixels was presented by comparing MNDWI maps with corresponding Joint Research Centre (JRC) Global Surface Water Explorer (GSWE) images. The changes in the surface area of eight freshwater reservoirs within the study area (Bhama Askhed, Bhatghar, Chaskaman, Khadakwasala, Mulashi, Panshet, Shivrata, and Varasgaon) for the year 2016 were analyzed and compared to GSWE time series water databases for accuracy assessment. The annual water occurrence map with percentage water occurrence on a yearly basis was also prepared. Results: The kappa coefficient agreement between MNDWI images and GSWE images is in the range of 0.56 to 0.96 with an average agreement of 0.82 indicating a strong level of agreement. Conclusions: MNDWI is easy to implement and is a sufficiently accurate method to separate water bodies from satellite images. The accuracy of the result depends on the clarity of image and selection of an optimum threshold method. The resulting accuracy and performance of the proposed algorithm will improve with implementation of automatic threshold selection methods and comparative studies for other spectral indices methods.
Shruti S. Tikhe and Kanchan Khare
Springer International Publishing
Vandana Patyal, Dipika Jaspal, and Kanchan Khare
Elsevier BV
Vaishnavi Dabir, , Anjali Kulkarni, Kanchan Khare, , and
Rajarambapu Institute of Technology
Abstract: During campus Interviews, the student's cognition is the Employers desideratum. They have incertitude regarding the same due to the scholastic system which is exam-oriented. It thus is an obligation on the teacher's part to ascertain that students get more proactive during the classroom sessions. Problembased learning (PBL) could be an effective alternative tool for boosting their interest and involvement in technical education. As Symbiosis Institute of Technology is an autonomous body, the freedom of adopting a different teaching method was used. In this study, the first week of the academic semester was converted into a week full of PBL activities instead of regular classes on a cohort of students from diverse background. This was done to understand if students could apply pre-requisite knowledge that they gained through regular tutelage. To test the usefulness of the concept of PBL in technical education, few activities were planned to introduce students to new concepts allied with the course structure of that semester. The study showed that students had limitations in the application of prerequisite knowledge and 10% couldsolve the problem completely. 62% of students were successful in doing new tasks using the PBL technique. 8% of students were able to reach to correct solution. Thus, student engagement can be boosted by the use of PBL pedagogy in technical education. Keywords: Problem-based learning, Technical Education, Engineering, Employability
Vandana Patyal, Dipika Jaspal, and Kanchan Khare
Wiley
The wastewater treatment industry is constantly evolving to abate emerging contaminants and to meet stringent legislative requirements. The existing technologies need to be modified, or new innovative treatment techniques need to be developed to ensure environmental protection and secure sustainability in the future. Emphasis is mainly on nutrient recovery, energy-efficient systems, zero waste generation, and environmentally friendly techniques. Constructed Wetlands (CWs) have evolved as natural, eco-friendly, economical, and low-maintenance alternatives for wastewater remediation. These wetlands employ several materials as adsorbents for the treatment, commonly known as media/substrate. This review paper presents an assessment of various materials that can be used as substrates in CWs for the efficient removal of organic and non-biodegradable pollutants in different types of wastewaters. The effect of pH, mineral composition, specific surface area, and porosity of various natural materials, agricultural and industrial wastes used as media in CWs for wastewater remediation was discussed. The study showed that different substrates like alum sludge, limestone, coal slags, rice husk, and sand had removal efficiency for chemical oxygen demand (COD):71.8-82%, total phosphorous (TP):77-80%, and total nitrogen (TN):52-82% for different types of wastewaters. It also highlights the challenges related to the long-term sustainability of these materials.
Vandana Patyal, Dipika Jaspal, and Kanchan Khare
Informa UK Limited
Vaishnavi Dabir, Sonam Deki, Kunal Agarwal, Ashish Ranjan, and Kanchan Khare
IOP Publishing
Vandana Patyal, Dipika Jaspal, and Kanchan Khare
Informa UK Limited
ABSTRACT Today the world is facing a major problem of getting rid of wastewater safely so that it does not disrupt the environment. The existing infrastructure and management systems are not adequate to cater to the increasing volume and changing quality of pollutants. Therefore, it becomes essential to manage wastewater and to use appropriate technologies and techniques for its treatment. In this study, the global research trends through wastewater treatment technologies was analyzed from 2000 to 2019 using Scopus database. Analysis of the existing database has been carried out based on the parameters such as trends in publication numbers, sources, institutions, authors, and countries. Scopus revealed a total of 11,757 journal articles, 2,933 conference proceedings, 1872 review papers, and 29,176 patents during this period, as on 9th May 2020, with the key words’ wastewater, treatment, and technologies. As per the analysis, China and USA portrayed maximum publications related to wastewater treatment technology.
Sayali Apte, Mugdha Kshirsagar, and Kanchan Khare
IEEE
The major objectives of storm water management include protecting the environment; minimize the event of flooding and supporting healthy streams which result in healthier and more sustainable communities. Effective storm water management gives ecological, social, and financial advantages to the community. The present study focuses on optimization of storm water collection system by application of proper routing algorithm. The main aim of the present study is to minimize the total cost associated with construction of storm water drains without compromising its discharge carrying capability. In this study a meta-heuristic approach based on Ant Colony System is used to optimize the multi-objective problem of storm-water drainage system. An illustrative example inspired from real life storm-water management problem has also been solved. The problem has been solved by varying the weightages of the heuristic values for drainage length and slope. The findings indicate that present approach provides a scientifically credible solution for storm-water drainage network optimization in urban areas.
Mrunalini Shivaji Jadhav, Kanchan Chandrashekhar Khare, and Arundhati Suresh Warke
Inderscience Publishers
Mrunalini Shivaji Jadhav, Kanchan Chandrashekhar Khare, and Arundhati Suresh Warke
Wiley
Water quality analysis involves analysis of physio-chemical, biological and microbiological parameters that reflect the abiotic and biotic status of ecosystems. This assessment facilitates planning for the utilization, antipollution and conservation strategies for sustainable use of aquatic ecosystem. Many mathematical models are available for predicting water quality. They have complex structures and require detailed information about sources and receptors, which are difficult and non-economical. Difficulties in applying mathematical models promote the application of alternative approaches for data-driven techniques for analysis of the results.
The present study focuses on water quality predictions for the Gangapur Reservoir for a 30 days in advance scenario, using genetic programming (GP) and least square support vector machines (LS-SVMs). A data period of 11 years (2000–2011) of Gangapur Reservoir temporal water quality was evaluated. The data were taken from a single sampling point representing climatological, hydrological and surface water quality measurements. One of the most important steps in application of data-driven technique is selection of significant input parameters. Genetic programming equations were used for selecting significant input parameters. These significant input parameters are used for 30 days advance predictions of faecal coliform. A performance analysis of GP and LS-SVM models was carried out with the help of coefficient of determination, root-mean-square error and correlation coefficient. In the absence of availability of data, a typical situation for Indian case studies, the model runs were conducted with the use of available parameters. The developed models, along with their performance indicators, also are discussed.