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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. Source

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. Source

Arya V.S.,Haryana Space Applications Center | Singh H.,Haryana Space Applications Center | Hooda R.S.,Haryana Space Applications Center | Arya A.S.,Space Applications Center
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2014

Desertification constitutes one of the international environment problems whose global importance has been recognized by the international community. Desertification is a problem that affects a number of regions of the world in the developed and developing countries. Desertification is even more closely associated with the development process insofar as it impacts on peoples livelihoods much more directly than other environmental problem. One of the central challenges of environment management in the coming years, the loss of productive land is of major concern in a world where hundreds millions of individuals already go hungry today. Availability of remote sensing data from earth observation satellite and GIS techniques has made it convenient to map and monitor land use/land cover of desertification areas. In the present study Desertification Change analysis in Panchkula district Haryana was carried out by using LISS-III satellite data of 2002 and 2011. The main objective of the study was to monitor the changes in degraded lands in the district. Onscreen digitization technique was followed to interpret the satellite data. The two dates maps were overlaid and changes in area under various degraded lands were calculated. It was observed that Total geographical area of under investigation is 1021.86 sq. km. Source

Verma U.,CCS Haryana Agricultural University | Goyal A.,CCS Haryana Agricultural University | Goyal A.,Kurukshetra University | Verma P.,CCS Haryana Agricultural University | And 5 more authors.
Annals of Agri Bio Research | Year: 2014

Forecasting of crop yields is a formidable challenge. Forecasts can be formed in many different ways. The method chosen depends on the purpose and importance of the forecasts as well as the cost and efficiency of the alternative forecasting methods. Keeping in view the importance of the subject matter, a study on yield trends of wheat crop in Haryana was undertaken to see the forecasting performance of the developed ARIMA models for district level wheat yield prediction. ARIMA models were built for the data related to wheat yields in Ambala, K am al, Kurukshetra, Sonipat, Jind and Gurgaon districts of eastern agro-climatic zone of Haryana. The crop yield data of the past four/five decades were used for the model building and the forecast values were obtained for the year 2008-09. After experimenting with different lags of the moving average and autoregressive processes; ARIMA (0,1,1 ) for Ambala, Kamal, Kurukshetra, Sonipat and Jind districts, while ARIMA (1,1,0) for Gurgaon district were fitted for wheat yield forecasting purpose in the considered districts. The overall results indicated that the per cent relative deviations of the forecast yields from the observed yields were within acceptable limits and favoured the use of ARIMA models to get short-term forecast estimates. Source

Panigrahy S.,Space Applications Center | Ray S.S.,Space Applications Center | Manjunath K.R.,Space Applications Center | Pandey P.S.,Project Directorate of Cropping Systems Research | And 6 more authors.
Journal of the Indian Society of Remote Sensing | Year: 2011

Cropping system level study is not only useful to understand the overall sustainability of agricultural system, but also it helps in generating many important parameterswhich are useful in climate change impact assessment. Considering its importance, Space Applications Centre, took up a project for mapping and characterizing major cropping systems of Indo-Gangetic Plains of India. The study area included the five states of Indo-Gangetic Plains (IGP) of India, i.e. Punjab, Haryana, Uttar Pradesh, Bihar and West Bengal. There were two aspects of the study. The first aspect included state and district level cropping system mapping using multi-date remote sensing (IRS-AWiFS and Radarsat ScanSAR) data. The second part was to characterize the cropping system using moderate resolution multi-date remote sensing data (SPOT VGT NDVI) and ground survey. While the remote sensing data was used to compute three performance indices (namely, Multiple Cropping Index, Area Diversity Index and Cultivated Land Utilization Index), the ground survey was conducted using questionnaires filled up by 1,000 farmers selected from 103 villages based on the cropping systems map. Apart from ground survey, soil and water sampling and quality analysis was carried out to understand the effect of different cropping systems and their management practices. The results showed that, rice-wheat was the major cropping system of the Indo-Gangetic Plains, followed by Rice-Fallow-Fallow and Maize-Wheat. Othermajor cropping systems of IGP included Sugarcane based, Pearl millet-Wheat, Rice-Fallow-Rice, Cotton-Wheat. The ground survey could identify 77 cropping systems, out of which 38 are rice-based systems. Out of these 77 cropping systems, there were 5 single crop systems, occupying 6.5% coverage (of all cropping system area), 56 double crop systems with 72.7% coverage, and 16 triple crop systems with 20.8% coverage. The cropping system performance analysis showed that the crop diversity was found to be highest in Haryana, while the cropping intensity was highest in Punjab state. © 2011 Indian Society of Remote Sensing. Source

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