Haryana Institute of Public Administration

Gurgaon, India

Haryana Institute of Public Administration

Gurgaon, India
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Pandey P.C.,University of Leicester | Kumar P.,Kumaun University | Yadav M.,Haryana Space Applications Center | Katiyar S.,Banasthali University | And 5 more authors.
IEEE Journal of Translational Engineering in Health and Medicine | Year: 2015

This study was conducted to analyze the impact of fluoride in the anthropogenic condition in an industrial region promoting and affecting the health of the workers. Fluoride is toxic to humans in high concentrations, such as can occur in persons working in fluoride-containing mineral industries like aluminum industries. When workers are exposed to fluoride-containing minerals, they can suffer from a variety of health problems, such as dental disease. This paper presents the relationship of different clinical conditions correlated against the fluoride level. Contributing clinical aspects, such as morbidity, dysentery, overcrowding, and skin disease, are also studied to assess the consequences of fluoride upon consistent exposure. The relationship between pH and hardness of water with fluoride was measured, and then spatial maps were generated. The investigations resulted in a conclusion that hardness of water had a more pronounced impact on the level of fluoride concentration as compared with pH. Water with more hardness contains more fluoride concentration (25 mg/ml) as compared with soft water (4 mg/ml). This paper also revealed the concentration of fluoride content in the bodies of aluminum plant workers, which varied from 0.06 to 0.17 mg/L of blood serum in the case of pot room workers and 0.01 to 0.04 mg/L in the case of non-pot room workers. In fingernails, it varied from 0.09 to 3.77 mg/L and 0.39 to 1.15 mg/L in the case of pot room and non-pot room workers, respectively. In urine, it varied from 0.53 to 9.50 mg/L in pot room workers and 0.29 to 1.80 mg/L in non-pot room workers. This paper concluded that water was safe for drinking purposes if it has a low hardness (60-140 mg/ml) and pH (7.1-7.4). © 2013 IEEE.

Pandey P.C.,University of Leicester | Mandal V.P.,Project Dir For Farming Systems Research | Katiyar S.,Banasthali University | Kumar P.,Kumaun University | And 4 more authors.
IEEE Sensors Journal | Year: 2015

Crop productivity is a major concern all over the world to provide food security, resulting in the green revolution. It is noteworthy that the fertilizer implemented to farmland leads to more desirable cropping patterns. Utilization of agricultural land efficiently for the crop production requires the knowledge of the nutrient inconsistency. This paper has presented the power of geomatics, to retrieve the synoptic and substantial changes in cropping pattern. Results and interpretations lead to the evaluation of the contemporaneous cropping systems. After a major yield parameter scrutiny for crops (rice, wheat, sugarcane, and onion), the magnificent accelerations were suggested. Results demonstrated a correlation r2 value of 0.834 with the estimated crop yield and normalized difference vegetation index. The Rice Equivalent Yield (REY) is highest at the range of 17-21 t/ha in the North, central and southern lower part, lowest at the western part ranging from 7-12 t/ha, with some part with 12-14 t/ha, while the most of the eastern part of the study site has shown the REY values ranging from 14 to 17 t/ha. The surveyed information, such as pH, electical conductivity, and organic carbon of the soil specimen, was used to examine the spatial discrepancies of rice-based cropping system's productivity. Ultimately, the spatial-temporal maps of fertilization pattern, yield parameters (e.g., N, P, and K), and relational REY observation were illustrated using spatial interpolation. © 2015 IEEE.

Tomar V.,Haryana Institute of Public Administration | Mandal V.P.,Project Directorate for Farming Systems Research | Srivastava P.,Banasthali University | Patairiya S.,Banasthali University | And 4 more authors.
IEEE Sensors Journal | Year: 2014

This paper analyzes the site-specific infield fertilizer treatments, its application rate discrepancies and crop yield assessment using rice equivalent productivity in terms of their economic potential using MOD13A1-normalized difference vegetation index (NDVI) (a moderate-resolution imaging spectroradiomete derived 16 day composite normalized difference vegetation index product, with spatial resolution of 500 m). Soil quality and final crop yield response to nitrogen (N), phosphorus (P), and potassium (K) fertilizers were taken from selected experimental Agri-plots in the part of Kuru region in North India, to calculate site-specific rice equivalent yield (REY) in the crop year of 2005-2006. A 3×3 spatial window average pixel reflectance of the NDVI layer at the regional level was used to assess its relationship with contemporaneous cropping systems, such as rice-wheat, rice-sugarcane, and rice-onion in the study area. A robust linear regressive relationship of R 2 = 0.69, has been found between site-specific vegetation index values and calculated REY. Inverse distance weighted spatial interpolation method was used to analyze the spatial variability of three major fertilizer nutrients (NPK) response in the study area. The potassium nutrient availability showed high levels of spatial autocorrelation, suggesting that proper fertilizer application ratio with genuine irrigation practices may be used for underpinning of the high crop yield variety acreages. In order to strengthen the crop productivity, we have suggested the diversified triple-based cropping systems with satellite mounted sensor derived NDVI products as a holistic and feasible monitoring approach. © 2012 IEEE.

Pandey P.C.,University of Leicester | Kumar P.,Banasthali University | Rani M.,Farming Systems Research | Katiyar S.,Banasthali University | Tomar V.,Haryana Institute of Public Administration
Geofizika | Year: 2014

Fluorine is a highly reactive common element that does not occur in nature in the elemental state. It exists in the form of fluorides and accounts for about 0.3 g/kg of the Earth’s crust. Generally, it is found in the form of a number of minerals like fluorspar, cryolite and fluor-apatite. Fluoride has both positive and negative effects on individual health. Fluoride, in the form of fluorspar and cryolite is distributed extensively in the lithosphere, and is renowned as the thirteenth most common among elements in the earth’s crust. Hydrogen fluorides in gaseous form accumulate in the leaves of generally sensitive plants against a concentration gradient and therefore, considered as a most phytotoxic air pollutant and affects plants at extremely low concentration. As per our study, it is found that the fluoride impacts on fauna are in normal condition, but in coming times it may have adverse impact on fauna and flora of surroundings of Hindalco Industries Limited. © 2014, Geofizicki Zavod. All rights reserved.

Kumar P.,Banasthali University | Pandey P.C.,University of Leicester | Kumar V.,Banasthali University | Singh B.K.,Birla Institute of Technology | And 2 more authors.
IEEE Sensors Journal | Year: 2015

Tropical forest is one of the great biodiversity repositories of the world ecosystem. Biodiversity is depleting very fast due to conversion of forest region into agricultural or other land use. Here comes the role of biodiversity assessment and evaluation of spatial data of species to prioritize the conservation purposes. Traditionally, ground-based plots were used to assess different biodiversity. Later on, remote sensing approaches were also incorporated along with field-based studies to quantify the results accurately. Assessment of biodiversity constitutes estimation of various indices that were obtained using ground-based plot or survey. With the advancement of the remote sensing technology, spatial information about tree species was collected using field sample and satellite data and field sample plots within the Sariska Tiger Reserve. Different diversity indices were calculated like α, β, diversity, and others, i.e., Pilot's index (J), Shannon-Wiener index (SR), Margalef index (Ew), and Whittaker's index (H′). The multistage statistical techniques, which integrate high spatial resolution and spectral characteristics of satellite data (LISS IV), will help in providing precise information about tree species. Regression analysis provides better results to identify forest species among different bands. A positive correlation has been found in the infrared band even negative correlation has been found in other bands. This paper incorporates field-based surveys along with remote sensing technologies using a regression model (r2 = 0.636) to estimate and recognize different species diversity in Sariska Tiger Reserve. © 2001-2012 IEEE.

Pandey P.C.,University of Leicester | Pandey P.C.,Birla Institute of Technology | Kumar P.,Kumaun University | Kumar P.,Banasthali University | And 5 more authors.
Environmental Earth Sciences | Year: 2015

Contamination by any substance takes place through air, water or soil and causes serious effects on flora and fauna of the regions. Air-transmitted pollutants spread in a faraway place from emission points of the pollutant source via wind (speed and direction as causing factors). Fluoride is one the pollutant generated in aluminium industries which is harmful to human and plants in excess concentration. This study focuses on the use of spatial interpolation methods for assessment of fluoride concentration around aluminium industries. The samples were collected from different test sites in the study area to investigate the fluoride concentration level. The test sites include several locations such as industrial unit, river site, residential and distant villages. Then, the collected samples were used to predict the overall fluoride concentration in the entire study area. The aim of the study was to evaluate the spatial variation and presence of fluoride concentration in the surroundings of the aluminium industries. Geostatistical interpolation modelling was applied to assess the prediction of fluoride contamination for other non-sampling points using the direction and distance method of empirical Bayesian kriging (EBK) modelling. Thus, geospatial modelling was used to predict the contamination of fluoride around the study area to create environmental awareness. In particular, this study assesses the fluoride pollutant concentration which might become dangerous with slowly increasing concentration against its standard concentration, which will severely impact the human health. In overall, EBK can provide valuable information regarding the fluoride concentration on possible level of fluoride in concern to public health. © 2015, Springer-Verlag Berlin Heidelberg.

Kumar P.,Kumaun University | Pandey P.C.,University of Leicester | Singh B.K.,Extension Center | Katiyar S.,Banasthali University | And 4 more authors.
Egyptian Journal of Remote Sensing and Space Science | Year: 2016

Soil organic carbon (SOC) is a dynamic soil property that represents the key component of the forest ecosystems. The main objective of the present study is to evaluate SOC using the remote sensing images as well as field methods at Ranthambhore Tiger Reserve Forest area. The soil samples were collected randomly from the region at several field locations, to estimate the surface soil carbon concentrations in the laboratory. The study derived results for bare soil index, NDVI, SOC and relationship of SOC with NDVI using regression analysis, while comparing reference SOC (field measured SOC) and predicted SOC (estimated from satellite image). The remote sensing images were used to predict the precise carbon content associated with organic matter in the soil using NDVI and related equations, to prepare digital soil organic carbon map. The relationship between the NDVI and both reference/predicted SOC is established using the equation to derive the digital SOC for the study area using remote sensing data. The statistical relationship between reference SOC, pH concentrations, and NDVI values were presented against the predicted SOC to provide the variation between each variable. © 2015 Authority for Remote Sensing and Space Sciences.

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