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| Designation: |
Principal Scientist
|
| Email Id: | ap_lalwani[at]neeri[dot]res[dot]in |
| Qualification: |
Advance Diploma in Computer Software System Analysis & Applications, M. Sc. (Statistics), Ph.D |
| Specialization: |
Statistics
|
| Address: |
Vertical 1 A: Air Resource, NEERI, Nagpur
|
| Biodata: |
| Sr. No. | Project Name |
|---|---|
| 1 |
Tourist Impact Assessment and Carrying Capacity Study for Environmental Protection of World Heritage Site, Ajanta Caves, Aurangabad
The main objective of the study is to assess environmental impact arising out of the tourist activity vis-à-vis environmental conditions inside the caves and suggest appropriate short term and long term measures to eliminate/ minimizethe resulting adverse impacts. |
| 2 |
Study on Development and Application of GAINS-City Model for Indian Cities, Technology Information Forecasting & Assessment Council TIFAC
Basic data collection and model framework design. Development of city emission model based on GAINS model. Update of emission factors based on a comprehensive review of local measurements. Estimation of air pollutants and GHG emissions under different scenarios for the city. Evaluate the air quality benefit for different scenarios. Training of students who will lead subsequent analysis in individual cities with present focus on one city. Final report summarizing methods, results and future work. |
| 3 |
Macro Level EIA Study for Cluster of Iron OreMines in the State of Goa
To carry out environmental impact assessment study with a view of having macro level impacts of mining in Goa on flora, fauna, the local inhabitant, air, water, noise pollution and overall biological environment. |
| 4 |
Assessment of Air Pollution and Source Apportionment Study in Firozabad, District Magistrate, Firozabad
To carry out air Quality monitoring for SO2, NO2 and particulate matter with identification and quantification of major sources of pollution. |
| 5 |
National Ambient Air Quality Monitoring
To study ambient air quality status of six Indian cities for pollutant as per MOU(Chennai, Delhi, Hyderabad, Kolkata,Mumbai). To study tendency of the air pollutants levels in six cities. To generate ambient air pollutants levels data base for supply to regulatory authorities etc and for in house R&D. |
| 6 |
Air Quality Monitoring and Source apportionment studies for Ten cities of Maharashtra
The main objective of Ambient Air Quality Monitoring is to generate baseline data of ambient concentration of critical air pollutants and source apportionment study for utants and source apportionment study for PM10 in different parts of the cities. |
| Sr. No. | Publication Name |
|---|---|
| 1 |
Exceedance analysis of PM10 concentration in central Indian city: predicting time between two exceedances
In this study the gap between the two exceedances is analyzed using time series analysis. The time series of PM_(10) (particulate matter of size less than 10 micron) observed during 2005-2013 in two cities; Nagpur and Chandrapur in central India is considered. Higher PM_(10) concentration is observed in Chandrapur as compared to Nagpur. Exponential relationship is observed between the average time between the two exceedances and annual average PM10 concentration. This information along with the PM_(10) concentration prediction model is utilized to predict the average number of observations between the two exceedances for the following year. ?k?-nearest neighbor approach is used for forecasting PM_(10) concentration which enabled estimating the average number of observations between two exceedances using exponential relationship. The approach can be used for estimating the average number of observations between the two exceedances over a year, which can further be utilized to make appropriate decision to control and manage high particulate matter pollution in an area. |
| 2 |
Nearest neighbour based forecast model for PM10 forecasting: Individual and combination forecasting,
Air quality forecasting using nearest neighbour technique provides an alternative to statistical and neural network models, which needs the information on predictor variables and understanding of underlying patterns in the data. k-nearest neighbour method of forecasting that does not assume any linear or nonlinear form of the data is used in this study to obtain the next step forecast of PM10 concentrations. Various function approximation techniques such as mean, median, linear combination and kernel regression of nearest neighbours are evaluated. It is observed that kernel regression of nearest neighbours outperforms the other individual models including bench mark persistence model for obtaining the next step forecasts. As the data may involve both linear and nonlinear patterns and any individual model cannot capture both types of patterns, combination forecasting is suggested as an alternative. The forecast error showed the outperformance of combination forecasting over individual forecast, which is quite obvious as it assigns more weightage to the model with minimum error. The study is useful when the data on predictor variables that influence the air pollutant concentrations is not available. The assumption on the underlying distribution of the data is also not required for the approach |
| 3 |
Study of temporal variations in aerosol optical depth over central India
Monthly aerosol optical depth (AOD) data over central India during 2001-2010 obtained from Moderate Resolution Imaging Spectroradiometer are analyzed for trend and periodicity. For this purpose, spectral analysis and linear trend analysis are performed. High AOD during monsoon followed by summer months are observed. Spatial analysis did not show any significant spatial variations in AOD levels. Spectral analysis suggested two dominant periods; 12 months and 6 months consistent with the annual and seasonal patterns. Trend analysis showed an insignificant trend at all the locations. Decadal change in AOD is the highest in Nagpur, which is an urban agglomeration station. Less developed and nonurban areas, however show decreasing or insignificant trend in AOD levels. Correlation with change in population over the last decade at different locations showed significant positive relationship with percentage change in AOD levels suggesting the effect of urban agglomeration on AOD in central India |
| 4 |
Complexity in hydro-seismicity of the Koyna?Warna region, India
Koyna–Warna region in western India is known to be the largest case of the reservoir-triggered seismicity in the world with M6.3 earthquake in 1967. This region continues to be seismically active even after 45 years with occurrences of earthquakes up to M5.0. The porous crustal rocks of Koyna–Warna region respond to changes in the prevailing stress/strain regime. This crustal section is highly fractured and is being fed by rivers and reservoirs. It is also subjected to fluctuating plate boundary forces and significant gravity-induced stresses due to crustal inhomogeneities. These changes induce variations in the water level in bore wells before, during and after an earthquake, and their study can help in understanding the earthquake genesis in the region. The ongoing seismicity thus requires understanding of coupled hydrological and tectonic processes in the region. Water table fluctuations are a reflection of the ongoing hydro-tectonics of the region. The fractal dimension of water levels in the bore wells of the region can be used as measure of the nonlinear characteristics of porous rock, revealing the underlying complexity. In this paper, we present values of correlation dimensions of the water level data in the bore wells using the nonlinear time series methodology. The spatiotemporal changes in the fractal dimensions have also been determined. The results show that hydro-seismically the region behaves as a low-dimensional nonlinear dynamical system |
| 5 |
Long memory in air pollutant concentrations
In the present paper, long-memory in air pollutant concentrations is reviewed and outcome of the past studies is analyzed to provide the possible mechanism behind temporal evolution of air pollutant concentrations. It is observed that almost all the studies show air pollutant concentrations over time possess persistence up to a certain limit. Self-organized criticality of air pollution, multiplicative process of pollutant concentrations, and uniformity in emission sources leading to self-organized criticality are few of the phenomena behind the persistent property of air pollutant concentrations. The self-organized criticality of air pollution is linked to atmosphere's self-cleansing mechanism. This demonstrates that inspite of increasing anthropogenic emissions, self-organized criticality of air pollution is sustained and has low influence of human interventions. In the future, this property may, however, be perturbed due to continuous air pollution emissions, which may influence the accuracy in predictions |
| 6 |
Study of local and Regional influence of PM2.5 Concentration during Odd-even Rule in Delhi using Causual Analysis
PM2.5 concentration observed during odd-even rule in Delhi is analysed for assessing its effectiveness in curbing the levels. The local and regional influence is analysed by using similarity and causality analysis. Causality analysis is usually carried out by using nonlinear dynamical technique which predicts one variable using another. In this study a simple approach is presented based on nearest neighbour method. It is observed that PM2.5 in Delhi has regional influence in addition to local sources. Although the effectiveness of odd-even rule is not observed in curbing the PM2.5 levels, it is suggested that extended implementation of the rule may provide more insight to the impact. Similarity analysis suggested that PM2.5 concentrations in Delhi have somewhat similar temporal behaviour with neighbouring locations in the southeast (SE) and west (W)-southwest (SW) sector. The control policies in Delhi need to be adopted keeping in mind the local and regional influences on PM2.5 levels in the area |
| Sr. No. | Achievement / Award | Awarded By |
|---|---|---|
| 1 |
V.V. Khaparde and A. Lalwani -Received Certificate of merit from Nagpur University Women Association, Nagpur on November 24, 2006 for obtaining PhD.
|
Nagpur University Women Association |
| 2 |
V.V. Khaparde and A. Lalwani - Honored with gold medal and a certificate from Antarang Mahila Chetna Manch, Maharshtra Ki Sarvapramukh Hindi Seva Sanstha on November 19, 2006 for obtaining PhD.
|
Antarang Mahila Chetna Manch |
View Biodata [0.43 MB]