Shubham Rathi - Academia.edu (original) (raw)

Papers by Shubham Rathi

Environmental Science and Pollution Research, Sep 3, 2018

This study assessed exposure by the roadside to highly toxic particle-bound polycyclic aromatic h... more This study assessed exposure by the roadside to highly toxic particle-bound polycyclic aromatic hydrocarbons (PPAHs) that are known to adsorb preferentially on fine particles, aerodynamic diameter (d p ≤ 1 μm). The real-time air quality measurements were conducted in March, April, and May 2015 in Kanpur at two busy roadside locations: one outside IIT Kanpur main gate, IG, and another by a residential area, M3. The locations show varying land use type and traffic density. Higher averaged daily concentrations of PM 10 , PM 2.5 , and PM 1 were observed at IG (PM 10 700-800 μg/m 3) owing to nature and high density of traffic, and occurrence of biomass burning nearby. Statistically significant relation (R 2 > 90%, p < 0.05) between PM 1 and PM 2.5 highlights the influence of mobile sources on particle load at IG. IG, the busier location, had higher daily averaged concentration of aggregate PPAHs (104 ng/m 3) than M3 which is located near a residential area (38 ng/m 3). In contrast, the higher average daily value of PC/DC ratio (mass per unit surface area of PPAHs on nanoparticles) at M3 (4.87 ng/mm 2) than at IG (4.08 ng/mm 2) suggests that PAHs of greater mass occur on particles at M3. Finer particles are known to adsorb pollutants of a larger mass that are likely to be more toxic in case of PAHs suggest that ambient air at M3 has more toxicity potential. However, this inference is not based on chemical analyses, and chemical characteristics must also be taken into account for the detailed assessment of health risk. The multiple path dosimetry model (MPPD-v3.04) reveals that the 99.02% of PM 10 inhaled, 77.01% of PM 2.5 and 34.54% of PM 1 are deposited in the outermost (head) region of the human respiratory tract.

International journal of innovative technology and exploring engineering, Sep 30, 2019

This paper presents a Data-Driven Clinical Decision Support System (CDSS) using machine learning.... more This paper presents a Data-Driven Clinical Decision Support System (CDSS) using machine learning. The proposed system predicts the possibility of diseases based on the patient's symptoms. It suggests lab tests and medication related to the disease. Lab test results are analyzed to check the probability of liver and kidney diseases. The proposed system uses face recognition to identify the patient. Face recognition module retrieves the Patient Health Record and provides patient information and health records access to the doctor and medical staff. The system is developed using Python Django for Backend, React.JS for User Interface and PostgreSQL as the relational database. The system uses Logistic Regression for possible disease prediction, Support Vector Machine for liver disease prediction, Random Forest for chronic kidney disease prediction. The result of the proposed data-driven clinical decision support system is compared with a doctor's disease analysis to measure the effectiveness of the proposed system. This kind of system can help doctors in providing better care and predict the disease at an early stage.

Nature Sustainability

Energy conservation in brick production is crucial to achieving net-zero carbon emissions from th... more Energy conservation in brick production is crucial to achieving net-zero carbon emissions from the building sector, especially in countries with major expansions in the built environment. However, widely disparate energy consumption estimates impede benchmarking its importance relative to the steel and cement industries. Here we modelled Indian brick production and its regional energy consumption by combining a nationwide questionnaire survey on feedstock, process variables and practices with remote sensing data on kiln enumeration. We found a large underreporting in current official estimates of energy consumption, with actual energy consumption comparable to that in the steel and cement industries in the country. With a total estimated production of 233 ± 15 billion bricks per year, the brick industry consumes 990 ± 125 PJ yr−1 of energy, 35 ± 6 Mt yr−1 coal and 25 ± 6 Mt yr−1 biomass. The main drivers of energy consumption for brick production are the kiln technology, the product...

Journal of Environmental Management

Sustainability

Effective implementation of environmental education (EE) is to produce students who have experien... more Effective implementation of environmental education (EE) is to produce students who have experienced an attitudinal change so that they can evaluate and show their concern for sustainable development (SD). Environmental education (EE) was introduced as a compulsory subject for schoolchildren in 2003. In the present study, we conducted an offline survey on senior primary, middle, and high school students in one school in the north Indian city of Kanpur. The responses received for the offline questionnaire survey QS (including open-ended and closed-ended questions) from ~800 students reveal that schoolchildren have heard of climate change (CC) and perceive it as a significant threat. Most of them feel that temperature rise is the most notable consequence of CC and show great willingness for knowledge enhancement and action. However, there is a lack of understanding of the difference between EE and CCE (climate change education) in the Indian context. The results also indicate critical...

Aerosol and Air Quality Research, 2021

Environmental Science and Pollution Research, 2018

This study assessed exposure by the roadside to highly toxic particle-bound polycyclic aromatic h... more This study assessed exposure by the roadside to highly toxic particle-bound polycyclic aromatic hydrocarbons (PPAHs) that are known to adsorb preferentially on fine particles, aerodynamic diameter (dp ≤ 1 μm). The real-time air quality measurements were conducted in March, April, and May 2015 in Kanpur at two busy roadside locations: one outside IIT Kanpur main gate, IG, and another by a residential area, M3. The locations show varying land use type and traffic density. Higher averaged daily concentrations of PM10, PM2.5, and PM1 were observed at IG (PM10 700–800 μg/m3) owing to nature and high density of traffic, and occurrence of biomass burning nearby. Statistically significant relation (R2 > 90%, p < 0.05) between PM1 and PM2.5 highlights the influence of mobile sources on particle load at IG. IG, the busier location, had higher daily averaged concentration of aggregate PPAHs (104 ng/m3) than M3 which is located near a residential area (38 ng/m3). In contrast, the higher average daily value of PC/DC ratio (mass per unit surface area of PPAHs on nanoparticles) at M3 (4.87 ng/mm2) than at IG (4.08 ng/mm2) suggests that PAHs of greater mass occur on particles at M3. Finer particles are known to adsorb pollutants of a larger mass that are likely to be more toxic in case of PAHs suggest that ambient air at M3 has more toxicity potential. However, this inference is not based on chemical analyses, and chemical characteristics must also be taken into account for the detailed assessment of health risk. The multiple path dosimetry model (MPPD-v3.04) reveals that the 99.02% of PM10 inhaled, 77.01% of PM2.5 and 34.54% of PM1 are deposited in the outermost (head) region of the human respiratory tract.

Solid Waste Management is a big concern all over the world. Solid waste is generally exist in two... more Solid Waste Management is a big concern all over the world. Solid waste is generally exist in two forms, one is garbage (Bio-degradable waste) and second one is rubbish (Non-bio degradable waste). Garbage is basically a mixture of kitchen waste coming from house hold and rubbish is the mixture of all type of waste like paper, glass, plastic etc. Solid waste generated in daily life and overcome only by three ways Reduce, Reuse and Recycle (3'R Principals).This paper presents a shortest path (SP) model for the solid waste management (SWM) for Kanpur city. This model is also applicable for any type of route network having range among positive integers. There is a code written in c programming language for this model to find out shortest route. This model will help in finding the shortest path among the node, also find the visiting route means shortest path is calculated by visiting which nodes in the network. This model is helpful for finding the shortest path and shortest route fo...

Environmental Science and Pollution Research, Sep 3, 2018

This study assessed exposure by the roadside to highly toxic particle-bound polycyclic aromatic h... more This study assessed exposure by the roadside to highly toxic particle-bound polycyclic aromatic hydrocarbons (PPAHs) that are known to adsorb preferentially on fine particles, aerodynamic diameter (d p ≤ 1 μm). The real-time air quality measurements were conducted in March, April, and May 2015 in Kanpur at two busy roadside locations: one outside IIT Kanpur main gate, IG, and another by a residential area, M3. The locations show varying land use type and traffic density. Higher averaged daily concentrations of PM 10 , PM 2.5 , and PM 1 were observed at IG (PM 10 700-800 μg/m 3) owing to nature and high density of traffic, and occurrence of biomass burning nearby. Statistically significant relation (R 2 > 90%, p < 0.05) between PM 1 and PM 2.5 highlights the influence of mobile sources on particle load at IG. IG, the busier location, had higher daily averaged concentration of aggregate PPAHs (104 ng/m 3) than M3 which is located near a residential area (38 ng/m 3). In contrast, the higher average daily value of PC/DC ratio (mass per unit surface area of PPAHs on nanoparticles) at M3 (4.87 ng/mm 2) than at IG (4.08 ng/mm 2) suggests that PAHs of greater mass occur on particles at M3. Finer particles are known to adsorb pollutants of a larger mass that are likely to be more toxic in case of PAHs suggest that ambient air at M3 has more toxicity potential. However, this inference is not based on chemical analyses, and chemical characteristics must also be taken into account for the detailed assessment of health risk. The multiple path dosimetry model (MPPD-v3.04) reveals that the 99.02% of PM 10 inhaled, 77.01% of PM 2.5 and 34.54% of PM 1 are deposited in the outermost (head) region of the human respiratory tract.

International journal of innovative technology and exploring engineering, Sep 30, 2019

This paper presents a Data-Driven Clinical Decision Support System (CDSS) using machine learning.... more This paper presents a Data-Driven Clinical Decision Support System (CDSS) using machine learning. The proposed system predicts the possibility of diseases based on the patient's symptoms. It suggests lab tests and medication related to the disease. Lab test results are analyzed to check the probability of liver and kidney diseases. The proposed system uses face recognition to identify the patient. Face recognition module retrieves the Patient Health Record and provides patient information and health records access to the doctor and medical staff. The system is developed using Python Django for Backend, React.JS for User Interface and PostgreSQL as the relational database. The system uses Logistic Regression for possible disease prediction, Support Vector Machine for liver disease prediction, Random Forest for chronic kidney disease prediction. The result of the proposed data-driven clinical decision support system is compared with a doctor's disease analysis to measure the effectiveness of the proposed system. This kind of system can help doctors in providing better care and predict the disease at an early stage.

Nature Sustainability

Energy conservation in brick production is crucial to achieving net-zero carbon emissions from th... more Energy conservation in brick production is crucial to achieving net-zero carbon emissions from the building sector, especially in countries with major expansions in the built environment. However, widely disparate energy consumption estimates impede benchmarking its importance relative to the steel and cement industries. Here we modelled Indian brick production and its regional energy consumption by combining a nationwide questionnaire survey on feedstock, process variables and practices with remote sensing data on kiln enumeration. We found a large underreporting in current official estimates of energy consumption, with actual energy consumption comparable to that in the steel and cement industries in the country. With a total estimated production of 233 ± 15 billion bricks per year, the brick industry consumes 990 ± 125 PJ yr−1 of energy, 35 ± 6 Mt yr−1 coal and 25 ± 6 Mt yr−1 biomass. The main drivers of energy consumption for brick production are the kiln technology, the product...

Journal of Environmental Management

Sustainability

Effective implementation of environmental education (EE) is to produce students who have experien... more Effective implementation of environmental education (EE) is to produce students who have experienced an attitudinal change so that they can evaluate and show their concern for sustainable development (SD). Environmental education (EE) was introduced as a compulsory subject for schoolchildren in 2003. In the present study, we conducted an offline survey on senior primary, middle, and high school students in one school in the north Indian city of Kanpur. The responses received for the offline questionnaire survey QS (including open-ended and closed-ended questions) from ~800 students reveal that schoolchildren have heard of climate change (CC) and perceive it as a significant threat. Most of them feel that temperature rise is the most notable consequence of CC and show great willingness for knowledge enhancement and action. However, there is a lack of understanding of the difference between EE and CCE (climate change education) in the Indian context. The results also indicate critical...

Aerosol and Air Quality Research, 2021

Environmental Science and Pollution Research, 2018

This study assessed exposure by the roadside to highly toxic particle-bound polycyclic aromatic h... more This study assessed exposure by the roadside to highly toxic particle-bound polycyclic aromatic hydrocarbons (PPAHs) that are known to adsorb preferentially on fine particles, aerodynamic diameter (dp ≤ 1 μm). The real-time air quality measurements were conducted in March, April, and May 2015 in Kanpur at two busy roadside locations: one outside IIT Kanpur main gate, IG, and another by a residential area, M3. The locations show varying land use type and traffic density. Higher averaged daily concentrations of PM10, PM2.5, and PM1 were observed at IG (PM10 700–800 μg/m3) owing to nature and high density of traffic, and occurrence of biomass burning nearby. Statistically significant relation (R2 > 90%, p < 0.05) between PM1 and PM2.5 highlights the influence of mobile sources on particle load at IG. IG, the busier location, had higher daily averaged concentration of aggregate PPAHs (104 ng/m3) than M3 which is located near a residential area (38 ng/m3). In contrast, the higher average daily value of PC/DC ratio (mass per unit surface area of PPAHs on nanoparticles) at M3 (4.87 ng/mm2) than at IG (4.08 ng/mm2) suggests that PAHs of greater mass occur on particles at M3. Finer particles are known to adsorb pollutants of a larger mass that are likely to be more toxic in case of PAHs suggest that ambient air at M3 has more toxicity potential. However, this inference is not based on chemical analyses, and chemical characteristics must also be taken into account for the detailed assessment of health risk. The multiple path dosimetry model (MPPD-v3.04) reveals that the 99.02% of PM10 inhaled, 77.01% of PM2.5 and 34.54% of PM1 are deposited in the outermost (head) region of the human respiratory tract.

Solid Waste Management is a big concern all over the world. Solid waste is generally exist in two... more Solid Waste Management is a big concern all over the world. Solid waste is generally exist in two forms, one is garbage (Bio-degradable waste) and second one is rubbish (Non-bio degradable waste). Garbage is basically a mixture of kitchen waste coming from house hold and rubbish is the mixture of all type of waste like paper, glass, plastic etc. Solid waste generated in daily life and overcome only by three ways Reduce, Reuse and Recycle (3'R Principals).This paper presents a shortest path (SP) model for the solid waste management (SWM) for Kanpur city. This model is also applicable for any type of route network having range among positive integers. There is a code written in c programming language for this model to find out shortest route. This model will help in finding the shortest path among the node, also find the visiting route means shortest path is calculated by visiting which nodes in the network. This model is helpful for finding the shortest path and shortest route fo...