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Abstract: By analyzing COSMIC data, found more than 50% reduction in electron density during a solar eclipse at the F2-layer and above, with the peak of ∼70% at 370km. So great eclipse effect on topside ionosphere was very abnormal and much different from previous studies. However, by comparing the cosmic data with IRI results, we find that the abnormal reduction comes mainly from the significant local time variation at sunrise, not from the eclipse effect. Furthermore, we simulated the eclipse effect by using a theoretical model to confirm our analysis. [Copyright &y& Elsevier]

In this paper, we have considered a mathematical model that deals with the effectiveness of the measures that may be helpful for reducing the spread of the COVID-19 virus in the society. Here we have illustrated the importance of lock down in controlling and maintaining the spread of the COVID-19 virus. The impact of the virus on the susceptible population has been considered in the model. Also, we have taken into account the susceptible population, which by taking preventive measures viz., by having strong immunity, maintaining social distancing, wearing PPE kits and masks etc., is able to reduce the possibility of getting infected from the virus. Local as well as global stability of the equilibrium points of the model have been studied using Lyapunov function and the geometrical approach techniques. Basic reproduction number has also been obtained by using the next generation matrix. To show the effectiveness of the model, different cases obtained by varying the parameters involved in the model have been considered. A comparison between the actual number of infected cases in India and that obtained by the proposed model, showing the effectiveness of the proposed model, has also been carried out. [ABSTRACT FROM AUTHOR]

Abstract: The advances in robotics, in the last ten years, have enabled robot technology to solve many practical problems that humans encounter in day-to-day activities. But, even today manual scavenging of the sewage is practiced in urban areas of India, wherein man enter the manholes and clean the scales and clogs in the sewage pipelines manually with virtually no technical equipment. This practice might jeopardize the lives of humans; therefore, a sewage cleaning robot is essential to replace the human intervention. The conventional sewage cleaning robots available are not capable and effective in cleaning a variable diameter pipelines. In order to overcome this issue, an attempt has been is made to design and develop a reconfigurable type sewage cleaning mobile manipulator, which can efficiently clean the scales and clogs formed in the variable diameter sewage pipeline. A conceptual model of the manipulator has been created in solid model using solid works. It will give a clear understanding of the manipulator and its subsystem interactions. A prototype model of the manipulator has been developed based on the design concept and its working environment i. e, various goals that robot has to do after entering the sewage pipe and hence the functional requirements are finalized. It consists of various links and joints. The joints are drive through the various motors which are discussed in the paper. Preliminary investigations are carried out on the developed prototype model and some of the results are discussed in the paper. [Copyright &y& Elsevier]

Abstract: Joint Forest Management (JFM), embracing the philosophy of forest conservation and livelihood improvement through cooperation between state and civil society, has emerged over the past decades both as a specific paradigm of forest governance in India and as India''s largest community forestry program. The JFM program, evolved during early 1970s covering a few forest villages as a model for reversing the trend of degraded forest ecosystem through the active protection by local villagers. The JFM program is implemented currently by 106,482 Joint Forest Management Committees (JFMC) and it covers 22 million ha of forests spread across 28 constituent states of India and union territories. JFM emerged against a backdrop of two centuries of centralised bureaucratic control over forest management in India. Centralized control during the 19th and 20th centuries failed either to conserve resources or to contribute substantially to the well-being of local populations. However, inconsistent persuasions from decentralization policies in India under present forest policy (1988) have prompted people to analyse the theoretical basis for accepting that decentralization would bring improvements in forest ecosystem management. Still others have contested the de facto rationale for decentralization (i.e., improved forest management) and have suggested that decentralization may be a manipulation by elites to serve their own interests or to shift power, for example from national to international agencies that have funded decentralization. Thirty years from its inception, there are now concerns for the recent effectiveness of JFM (over the past 20 years) because it is a group action that is getting old and is perhaps losing some of its pioneering drive and innovativeness. Although JFM has been administered nationally, decisions on implementation detail have been left to the individual states, resulting in different strategies. The long history of JFM has also provided scope for experiences with it to change over time as well as between places. Given the range of experiences with and perceptions of JFM, as well as the importance of the objectives JFM ostensibly serves, the time is ripe therefore for a retrospective evaluation to take stock of its actual achievements, its status and ways forward. The current paper seeks to provide such a review and analysis. The paper highlights design and implementation issues related to government resolutions, benefits-sharing and forest offences. It also assesses the critical design factors and key drivers responsible for institutional reforms. The paper evaluates impacts of protection on forest productivity and on the livelihoods of local communities. It highlights that the JFM program, by virtue of the diversity of its implementation, provides an ideal laboratory for exploring why similar reforms can lead to different outcomes. The paper argued that though there are supporting government policy and guideline and massive fund support, why there has been a low down of enthusiasm for JFM in the last two decades. From experiences, it suggests strategies for its revival and JFM can further contribute effective toward forest conservation and enhanced livelihood opportunities in the future. [Copyright &y& Elsevier]

Abstract: An innovative energy model is explored for techno-economic feasibility evaluation, taking into consideration the geographical advantages, government policies, regional incentives and energy certificates. In India, two energy certification schemes have been started, namely, the Renewable Energy Certification (REC) mechanism, successfully implemented in India during 2011, and the Perform, Achieve and Trade (PAT) for the Enhanced Energy Efficiency Programme in 2012. This paper reviews the state of the art in designing an energy model at a specific location, with the consideration of solar, wind and ground sources for renewable energy and fossil fuel, to gain optimum performances in energy certificate scenario. The key design issues about boundary and target settings for REC and PAT energy certificates are discussed to review the financial performance of the schemes taking into considerations energy generators, designated consumers and traders in the market. Due to major impact of micro-medium and small industries (MSME) on Indian economy, this paper discusses the possibilities of inclusion of MSME in PAT scheme. One more addition in PAT scheme, with respect to large unit with marginal available fund for technology upgradation/financially sick unit, invites the creation of consolidated fund, which will support technology absorption and role of state Government policies for funding this mechanism. The energy model provides the estimation and prediction of hybrid power generation in regard to the parameters of resource potential, technology, efficiency and consumption pattern. The monitoring, statistical and prediction model with inbuilt mechanism for REC and PAT incentives is explored. [Copyright &y& Elsevier]

Abstract Sex work-related stigma is prevalent in urban India. While HIV-stigma is often discussed in urban Indian health contexts, rarely is sex work-related stigma investigated as it shapes sex workers' health experiences. This paper discusses the findings of an ethnographic study with women who practice sex work (WPSW), healthcare providers, and NGO workers in Delhi, India over seven months in 2017. We apply a tri-tiered model of stigma as constituted of experiential, symbolic, and structural forms, to better understand how WPSW experience sex work-related stigma as it relates to their health. Identifying and understanding manifestations and experiences of stigma is crucial to supporting WPSW health. We conclude that in the face of criminalized legal contexts, both non-governmental and governmental interventions to improve WPSW's health must contend with their own tendencies to reinforce prevailing stereotypes and symbols that stigmatize sex work and the people who engage in it. Highlights • Sex work stigma shapes and constrains public health efforts directed at sex workers. • Sex work stigma is only one layer of the many stigmas experienced by sex workers. • Public health efforts to support sex workers must go beyond HIV. [ABSTRACT FROM AUTHOR]

Abstract: In recent years the decentralized rural electrification is becoming cost effective and convenient for areas where grid extension is very difficult. The present paper deals with the electrification of dense forest areas of Uttarakhand state in India by Integrated Renewable Energy Optimization Model (IREOM). The IREOM consists of locally available renewable energy resources such as Micro-Hydropower (MHP), biomass, biogas, wind and solar photovoltaic (SPV) systems have been used to meet electrical energy and cooking energy needs of a cluster of villages. The paper includes the selection of different system components, sizing and development of a general model to find out optimal combination of energy subsystems for the selected study area in order to minimize the cost of energy (COE) generation for a required reliability values. The sizing of different renewable energy system components has been carried out so that they are suitable for four different seasonal load profiles. The two reliability values are considered for the selection of optimum solution of year round application. The model developed for this purpose, has been found to be quite useful in optimizing the renewable energy system sizes that are available in market. The proposed model totally depends on the renewable energy systems and eliminates the use of conventional energy systems. [Copyright &y& Elsevier]

Abstract: One of the major concerns of any service organisation is the time customers have to spend waiting for service. As is well known, waiting time depends on a number of quantities, such as the system arrival rate, service rate, type of services, time of the day, and efficiency of the servers. In this paper, we propose a service model appropriate in the Indian banking industry and discuss the effectiveness of various solutions using simulation. The best solution found from the alternatives has been implemented. In this paper, we summarize the efforts and the results thereof. [Copyright &y& Elsevier]

Abstract: Representation and quantification of uncertainty in climate change impact studies are a difficult task. Several sources of uncertainty arise in studies of hydrologic impacts of climate change, such as those due to choice of general circulation models (GCMs), scenarios and downscaling methods. Recently, much work has focused on uncertainty quantification and modeling in regional climate change impacts. In this paper, an uncertainty modeling framework is evaluated, which uses a generalized uncertainty measure to combine GCM, scenario and downscaling uncertainties. The Dempster–Shafer (D–S) evidence theory is used for representing and combining uncertainty from various sources. A significant advantage of the D–S framework over the traditional probabilistic approach is that it allows for the allocation of a probability mass to sets or intervals, and can hence handle both aleatory or stochastic uncertainty, and epistemic or subjective uncertainty. This paper shows how the D–S theory can be used to represent beliefs in some hypotheses such as hydrologic drought or wet conditions, describe uncertainty and ignorance in the system, and give a quantitative measurement of belief and plausibility in results. The D–S approach has been used in this work for information synthesis using various evidence combination rules having different conflict modeling approaches. A case study is presented for hydrologic drought prediction using downscaled streamflow in the Mahanadi River at Hirakud in Orissa, India. Projections of n most likely monsoon streamflow sequences are obtained from a conditional random field (CRF) downscaling model, using an ensemble of three GCMs for three scenarios, which are converted to monsoon standardized streamflow index (SSFI-4) series. This range is used to specify the basic probability assignment (bpa) for a Dempster–Shafer structure, which represents uncertainty associated with each of the SSFI-4 classifications. These uncertainties are then combined across GCMs and scenarios using various evidence combination rules given by the D–S theory. A Bayesian approach is also presented for this case study, which models the uncertainty in projected frequencies of SSFI-4 classifications by deriving a posterior distribution for the frequency of each classification, using an ensemble of GCMs and scenarios. Results from the D–S and Bayesian approaches are compared, and relative merits of each approach are discussed. Both approaches show an increasing probability of extreme, severe and moderate droughts and decreasing probability of normal and wet conditions in Orissa as a result of climate change. [Copyright &y& Elsevier]

Abstract: This paper examines the contrast between China's and India's universal service policies as manifestations of the two states' differing self-conceptualizations and legitimation strategies. We examine the timeline of universal service policies in the two countries, differentiating between the territorial, demographic and layered dimensions of universal service. The analysis reveals many similarities between the two countries, as well as some differences primarily related to the mode of funding universal service programs and the lead China has taken in deploying informatization services. We identify some of the proximate causes that resulted in these policy decisions. But in addition, we also examine how universal service policies are related to contrasting models of state legitimation. [Copyright &y& Elsevier]

Abstract: India is fast emerging economy in Asia and world. India's manufacturing sector is growing faster and domestic demand is also increasing. India has a severe electricity shortage. It needs massive additions in capacity to meet the demand of its rapidly growing economy. To maintain the pace of economic growth with reduction in emission of greenhouse gases, India must reduce its dependency on fossil fuels for electrification. Hence the requirement of solar power installations in India has increased. In this context, this study aims to develop a structural model of the barriers to implement solar power installations in India. Thirteen relevant barriers to implement solar power installations have been identified from the literature and subsequent discussions with experts from academia and industry. Contextual relationships among these barriers have been identified and interpretive structural modeling (ISM) technique based, a structural model of barriers to implement solar power installations in India has been developed. MICMAC analysis has also been used to carry out the classification of barriers based on dependence and driving power. One barrier has been identified as top level barrier and six bottom level barriers. This paper also suggests the different ways of removal of these barriers. Better understanding of these barriers would help organizations and government bodies to prioritize and manage their resources in an effective and efficient way so that maximum number of solar power projects can be installed in India. [Copyright &y& Elsevier]

Abstract: Jharia coalfield, located in Dhanbad district of the Jharkhand state, is one of the most important Gondwana coalfields in India in terms of its prime coking quality of coal and its vast coal resources. Various agencies had carried out exploration in the Jharia coalfield that led to generation of a huge exploration database. However, no exploration modelling had been carried out using geostatistics. In this context, the present paper has attempted to derive geostatistical models of coal seams using the exploration data of ten select coal seams with respect to various proximate coal constituents and seam thickness that were made available to the authors by Bharat Coaking Coal Limited, Dhanbad. Geostatistical structural modelling through semi-variography resulted into quantification of spatial relationship of coal quality parameters together with seam thickness. Block-wise quality estimation employing Ordinary Kriging technique provided improved estimates associated with error of estimation quantified by the magnitude of kriging variance. The uncertainty maps generated using kriging variances are of aid in identifying areas of high uncertainty that decide on further sampling to improve the accuracy of estimation. Simulated annealing algorithm has been applied to carry out geostatistical imaging of a representative coal seam. The technique provided a means to heterogeneity modelling of coal seams and its advantage over the kriged estimates (smoothing effect) is highlighted. Integration of these geostatistical model parameters with the geology of Jharia coalfield aids in characterization of the coal depositional environment. [Copyright &y& Elsevier]

Abstract: This paper explores the emergence of biotechnology centers in Shanghai and Bangalore by comparing their development to best practices in the literature for biotechnology cluster growth and development. Interviews with over fifty biotech companies and related institutions in China and India indicate that these regions are developing alternate models of low cost manufacturing and services that build on the current local base of knowledge and expertise. The ability to convert research into successful commercial activity was identified in both regions. The strong research capacity, private sector funding, and entrepreneurial environment deemed critical best practices were limited. New growth theory is used to explain these alternate approaches to technological and social change. [Copyright &y& Elsevier]

Abstract: This paper presents a participatory approach to investigate vulnerability and adaptive capacity to climate variability and water stress in the Lakhwar watershed in Uttarakhand State, India. Highly water stressed microwatersheds were identified by modelling surface runoff, soil moisture development, lateral runoff, and groundwater recharge. The modelling results were shared with communities in two villages, and timeline exercises were carried out to allow them to trace past developments that have impacted their lives and livelihoods, and stimulate discussion about future changes and possible adaptation interventions. [Copyright &y& Elsevier]

Abstract: Demand for wireless data and Internet services are expected to grow exponentially, both in advanced and emerging markets in the near future. While advanced countries have often used centralized planning and coordination methodology to forecast and allocate the associated spectrum blocks to wireless operators for meeting the demand, it is often ad-hoc in emerging markets dictated by market forces. In this paper, Finland and India are taken to represent advanced and emerging markets, respectively. Different policy options and the policy environment in these two countries for spectrum management are explored. A causal model is constructed to represent the different variables that affect spectrum management practices and possible paths forward in these two extreme cases are highlighted. Using the causal model structure, it is hypothesized that (i) the matured markets such as Finland that practice centralized and harmonized spectrum planning are likely to continue their ex-ante policies and opt for the release of digital dividend spectrum and use of spectrally efficient technologies; (ii) the emerging market in India that is characterized by a market oriented ex-poste regulation is a good candidate to introduce secondary markets including flexible opportunistic spectrum access as exemplified by the wide spread adoption of multi-SIM handsets and the practice of national roaming by 3G service providers. Introductions of policies and regulations in these markets to break away from the extant paths are also highlighted. [Copyright &y& Elsevier]

Abstract: This paper evaluates relative performance of the Electric Distribution Divisions (EDDs) of an Indian State, Uttarakhand for the period 2005–2008, through application of Data Envelopment Analysis (DEA). To improve the operational efficiency of EDDs, Uttarakhand Power Corporation Limited (UPCL) disintegrated several divisions into smaller ones over this period. However, microlevel examination revealed the ineffectiveness of this process during the period of analysis. Therefore, in the present work an alternative reorganization model for selecting the EDDs for disintegration and for selecting the optimum scale for disintegration is proposed based on the efficiency analysis of 2007. The model is verified by comparing the mean efficiency score of the EDDs derived using proposed model with that of existing ones. It is found that overall efficiency of proposed model is higher than the existing system. Reliability of the overall efficient EDDs is also examined to check the robustness of the CCR result for the same year. This study gives an assessment of UPCL to monitor and diagnose the changes in the efficiency of EDDs, so it will help regulators to formulate more effective policies on deregulation and disintegration and to determine the appropriate efficiency improvement measures when imposing yardstick competition on electric utilities. [Copyright &y& Elsevier]

Abstract: Hooghly–Matla estuarine ecosystem is one of the largest estuarine ecosystems of the world. Sagar island is the largest delta in this estuarine complex. This island is criss-crossed by small and large creeks with mangrove vegetation and all are connected to the principal estuarine water. Decomposition of mangrove litter in soil is major source of inorganic nutrient to phytoplankton of the adjacent creeks. Deforestation of mangrove affects the primary production, which in turn reduces the availability of dissolved oxygen for the organisms residing in the estuary. Considering the importance of dissolved oxygen in various aspects of aquatic life, a dynamic model of dissolved oxygen at Sagar island of Hooghly–Matla estuarine complex with the help of single dimension differential equation is proposed in the present paper. Different physical, chemical and biological factors such as solar irradiance, temperature, salinity of water, particulate organic matter, re-aeration, wind velocity, phytoplankton and zooplankton, which control the fluctuation of dissolved oxygen, are included in the present model. Most of the parameter values are collected directly from the field surveys. The parameter values which are not able to collect from the field, obtained from literatures are calibrated. To make the model realistic it is properly validated with observed data and to know the statistical significance, chi square goodness fit test is performed. Field surveys are performed over two years. During calibration and validation, two sets of data (first year and second year data) are used. Chi-square values are 5.97 and 6.17 for first and second sets of data respectively (p <0.05). Sensitivity analysis reveals that optimal light intensity is the most sensitive parameter for dissolved oxygen dynamics. Results also show that wind velocity, solar irradiation, salinity of water and temperature are important factors for controlling the dynamics of dissolved oxygen. Macrophytes have very little contribution to oxygen production in the creeks of Sagar island. Model reveals that low dissolved oxygen in the creek water is one of the causes of decline in fish population of the estuary. [Copyright &y& Elsevier]

Abstract: The paper presents valuing of qualitative and quantitative travel attributes influencing the attractiveness of suburban train service in Mumbai city, India. A stated preference experiment is designed to capture the data of sub-urban train mode choice behavior. The behavioral data are analyzed using different modeling techniques such as multinomial logit (MNL) and mixed logit (ML). In ML model, the random parameters are assumed to follow constrained triangular distribution, where mean equals its spread. The decomposition of preference heterogeneity around the mean estimate of random parameter is also investigated using ML model. The study shows the influence of headway time and train ride time associated with a particular crowding level (expressed in density of standing passengers/m2) in choosing the sub-urban train mode by calculating their willingness-to-pay (WTP) values and highlights the importance of WTP for addressing policy issues in the reduction of in-vehicle crowding level. The present study documents new findings of the effect of crowding level on train ride time in the context of a developing country and suggests some important directions for future suburban train transport crowding valuation research. [Copyright &y& Elsevier]

Abstract: This paper presents the results and important insights from level-1 Probabilistic Safety Analysis of Prototype Fast Breeder Reactor (PFBR) which is under construction at Kalpakkam. Level-1 PSA of PFBR was carried out as per the regulatory requirement in India. The desired target value for overall Core Damage Frequency (CDF) of PFBR is ≤1E−6/reactor year (ry). The scope of this study is limited to internal events at full power. The salient feature of this study is the inclusion of functional failure of natural convection based decay Heat Removal System in event tree development. As in most of the safety systems the unavailability contribution is dominated by CCF events and hence are highly sensitive to CCF model parameters. The dominant contributors to Core Damage Frequency are Loss of Off-Site Power and Loss of Steam Water System. Research & Development (R&D) input is required in modeling flow blockage events which has the largest uncertainty. [Copyright &y& Elsevier]

Abstract: There are many opportunities and challenges in area of Indian technical education due to liberalization and globalization of economy. One of these challenges is how to assess performance of technical institutions based on multiple criteria. This paper is focused on performance evaluation and ranking of seven Indian Institute of Technology (IITs) in respect to stakeholders’ preference using an integrated model consisting of fuzzy AHP and COPRAS. Findings based on 2007–2008 data show that performance of two IITs need considerable improvement. To the best of our knowledge it is one of few studies that evaluates performance of technical institutions in India. [Copyright &y& Elsevier]

Abstract: Earthquakes are the worst natural calamities that strike without any notice and cause immediate loss of life and property. Internationally, serious and scientifically acceptable earthquake prediction studies started in 1970s and short term prediction of the Heicheng earthquake of February 4, 1975 in China is a land mark. In India, a successful medium term prediction of August 6, 1988 earthquake, (M 7.5) in northeast Indian region encouraged to intensify such studies in the country. These predictions were based mainly on seismological precursors. Initially, the precursory studies were taken in isolated manner, but after validation of specific geophysical parameters, efforts were made to adopt an integrated approach involving collection, analysis and interpretation of various precursory observations in a comprehensive and coordinated manner. Accordingly, a few Multi-parametric Geophysical Observatories (MPGOs) have been established at the selected locations in seismically active areas in the country. This approach led to successful short term prediction of some moderate earthquakes (M ⩾4) in Koyna region (famous for Reservoir Triggered Seismicity) in western India. Simultaneously, efforts have been made to generate long term multi-parametric observations from these observatories, as a basic scientific input required for future earthquake prediction related studies. The real-time analysis of these data sets would help to understand the earthquake generation process and attaining the predictive capabilities by developing models for short term earthquake forecasting. To facilitate direct observations and test the hypothesis of Reservoir Triggered Seismicity (RTS) as well as to understand the earthquake generation processes, it is planned to undertake deep borehole (6–8km) investigations in Koyna region of western India. The paper highlights the efforts made so far in India in the area of earthquake precursory studies as well as the future road map. [Copyright &y& Elsevier]

Abstract: Since November 2010, NPL India’s force scale has been complemented in the range from 10kN to 1MN by a further force standard machine. This automatically working 1MN force standard machine utilizes a lever amplification of a 100kN mass stack and enables low relative expanded uncertainties of smaller than 9×10−5 on the lever, and 2×10−5 on the deadweight side. In this paper, the constructional design of the machine is described. According to the new EURAMET Calibration Guide, a model for the uncertainties is developed. Supplementary to this, results from comparison measurements of the new NPL India machine with PTB´s force standard machines are presented. [Copyright &y& Elsevier]

Abstract: Transfer factors are the most important parameters required for mathematical modeling used for environmental impact assessment of radioactive contamination in the environment. In this paper soil to leaf transfer factor for the radionuclides 40K, 226Ra, 137Cs and 90Sr is estimated for Kaiga region in Karnataka state, India. Among the plants in which study is carried out, 226Ra, 40K, 137Cs and 90Sr activity in leaves of herbaceous plants is higher than that of tree leaves. Soil to leaf transfer factor for 226Ra, 40K, 137Cs and 90Sr was found to be in the range of 0.03–0.65, 0.32–8.04, 0.05–3.03 and 0.42–2.67 respectively. [Copyright &y& Elsevier]

Abstract: Agricultural residues are spatially scattered in Punjab. The spatial distribution and associated costs on collection and transportation of this resource are the critical factor in planning the biomass based power plants. This paper presents a case study of Bathinda district of Punjab, using geographical information system to evaluate the feasibility of setting up biomass based power plants and optimizing their location. Mathematical models were developed to determine the storage and handling cost of agricultural residue. Geographical information system and non-linear optimization techniques were employed to locate appropriate sites and sizes of power plants. It was found that two power plants and their two collection centres are financially feasible. Power generation capacity is 20 MW (e). The fuel procurement area was in the range of less than 20 km. [Copyright &y& Elsevier]

Abstract: This paper presents the results of the application of model (developed in part I) and simulation algorithm (developed in part II) for determining the techno-economics of battery storage type hybrid energy system intended to supply the load of a rural remote area having a cluster of nine villages (grid isolated). The hour-by-hour simulation model is intended to simulate a typical one month period of system operation. For simulation purpose, hourly solar insolation data and load data have been generated and used as an input data. Demand side management (DSM) is used in this study to smooth out the daily peaks and fill valleys in the load curve to make the most efficient use of energy sources. The economic analysis has resulted in the calculation of optimized hourly, daily, and monthly system unit cost of proposed hybrid energy system. The obtained results represent also a helpful reference for energy planners in Uttarakhand state and justify the consideration of hybrid energy systems more seriously. [ABSTRACT FROM AUTHOR]

Abstract: A model that calculates the distribution of solar radiation inside a basin-type solar still with plane reflectors has been proposed. In this model, both surface finish and optical view factors are taken into consideration in the computation of solar radiation that effectively reaches the surface of saline water in the distillation system. The model was applied to a conventional solar still and an advanced solar still with separate condenser. The conventional solar still was tested at New Delhi (28°35′N, 77°12′E) in previous work while the advanced distillation system was developed in this investigation and it comprised three basins with saline water. Basin 1 was fitted horizontally in the evaporator chamber, with the condenser chamber housing basins 2 and 3. The top part of the evaporator unit was covered with glass to allow solar radiation to reach water in basin 1. In addition, the internal surfaces of the walls of the evaporator and external surface of the front wall of the condenser unit reflected part of the incoming solar radiation onto the surface of saline water in basin 1. The distillation system was tested outdoors at the Malawi Polytechnic (15°48′S, 35°02′E). Under the prevailing meteorological conditions, it is found that the computed solar load on the surface of saline water in the evaporator basin is lower than that observed on a horizontal plane outside each energy system. The new model exhibited a higher degree of accuracy than the previous one. Other results are presented and discussed in this paper. [ABSTRACT FROM AUTHOR]

Abstract: The objective of this paper is to estimate the future projection of computer waste in India and to subsequently analyze their flow at the end of their useful phase. For this purpose, the study utilizes the logistic model-based approach proposed by Yang and Williams to forecast future trends in computer waste. The model estimates future projection of computer penetration rate utilizing their first lifespan distribution and historical sales data. A bounding analysis on the future carrying capacity was simulated using the three parameter logistic curve. The observed obsolete generation quantities from the extrapolated penetration rates are then used to model the disposal phase. The results of the bounding analysis indicate that in the year 2020, around 41–152 million units of computers will become obsolete. The obsolete computer generation quantities are then used to estimate the End-of-Life outflows by utilizing a time-series multiple lifespan model. Even a conservative estimate of the future recycling capacity of PCs will reach upwards of 30 million units during 2025. Apparently, more than 150 million units could be potentially recycled in the upper bound case. However, considering significant future investment in the e-waste recycling sector from all stakeholders in India, we propose a logistic growth in the recycling rate and estimate the requirement of recycling capacity between 60 and 400 million units for the lower and upper bound case during 2025. Finally, we compare the future obsolete PC generation amount of the US and India. [ABSTRACT FROM AUTHOR]

Abstract: Fletcher–Ponnambalam presented a new model for considering the balance equation of the storage volume of the reservoir using indicator functions. For stochastic inflows, the two storage moments of this balance equation, namely, the mean and variance, calculated using a random release policy were found to be quite accurate unlike any known models. Significantly, this model required no discretization of storage volumes or releases. In this paper, this work has been extended to two new cases: for multireservoir systems which require further consideration of the stochastic releases and for arbitrary distribution of inflows using the Beta-equivalent Kumaraswamy distribution which has a simpler form than Beta. The randomized release policies are easy to use even in a multireservoir problem. The Parambikulm-Aliyar Project from India is used as a case study. Results show accurate predictions of mean of storages in the multireservoir case but show the need for further improvement in the standard deviations of storages. The optimal benefits and the policies obtained are shown to be at least as good as obtained using Monte Carlo-based methods. [ABSTRACT FROM AUTHOR]

Abstract: The paper deals with the dynamical behavior of plankton population ecosystem, mainly found in Sunderban mangrove area. The ecosystem is represented by a set of two dimensional non-linear differential equations involving zooplankton-phytoplankton population. Plankton populations undergo dramatic changes in marine ecology. We propose a description of plankton communities as excitable systems which resemble the behavior of excitable media. The delay parameter dependency of the various ‘excitable’ phenomena, trigger mechanism, threshold, and slow recovery, is clear, and permits ready investigation of the influence of properties of the physical environment, including variations in nutrient fluxes, temperature or population levels. We have analyzed the stability and bifurcation of the model system with and without delay. We have shown the existence and uniqueness of limit cycles in the rapid growth of the plankton population. We also studied the model system into a stochastic one, by incorporating random fluctuations of the environment. And we study the stochastic stability of the dynamical system in mean square sense around the interior equilibrium. [Copyright &y& Elsevier]

Abstract: L-band (1.5GHz) and VHF (244MHz) amplitude scintillations observed from Kolkata (22.58°N lat, 88.38° E long, 32°N dip), over a solar cycle 1996–2006 are presented in this paper. Situated near the northern crest of the equatorial anomaly, it is an excellent platform for scintillation studies. Based on 11 years’ data, an attempt is made to develop models of hourly percentage occurrence of scintillations for the rising and declining phases of solar cycle using Neural Network. The relation between fading rate at VHF with the S4 index at L-band is also investigated. [Copyright &y& Elsevier]

Abstract: The present paper describes the seismic assessment of the Qutb Minar in Delhi, India. Three models with different levels of complexity and simplification were developed. The use of these models allows one to overcome the complexity of the study of the seismic behavior of ancient masonry structures; by combining the results of the different models it is possible to obtain a better and more comprehensive interpretation of the seismic behavior. The models were used for non-linear static (pushover) and non-linear dynamic analyses. The static and dynamic analyses give different behaviors, indicating that the push-over analysis should be used carefully in the seismic assessment of masonry structures. For the static analysis, the base of the tower is the most vulnerable part; while according to the dynamic analysis, it is the upper part of the tower. This last behavior is according to the historical damage suffered by the tower due to earthquakes. The different behaviors can be explained by the influence of the higher modes of vibration. [Copyright &y& Elsevier]

Abstract: The Bay of Bengal (BOB) sedimentary basin is one of the largest offshore sedimentary basins of the world having the thickest accumulation of sediments which mask the underlying crust and it is the Geopotential data that offers the unique opportunity of seeing below the thick sediments. Satellite derived Free Air Gravity (FAG) data, marine magnetic data, bathymetry, available seismic profiles and isopach maps over the Bay of Bengal are utilized in the present paper to throw light on the nature and tectonics of the BOB with particular emphasis on the 85°E Ridge. Combined analysis of gravity and magnetic data along six EW profiles of length varying from 325 to 440 km is undertaken, incorporating seafloor spreading anomalies in the model. Of the several theories put forth for the evolution of the 85°E Ridge, the present study supports the sagging of the crust and rules out the hotspot trace and magmatic under-plating theories. The crustal model derived from the magnetic profile analysis suggests that the 85°E Ridge does not extend to the North of 15°N latitude and this is supported by the Euler solutions of the FAG and the long wavelength filtered FAG. However, the intermediate wavelength filtered FAG suggests that the 85°E Ridge extends up to the Ocean Continent Boundary thereby suggesting that the 85°E Ridge thins out dramatically to the North of 15°N latitude. Analysis of gravity data along 17°N latitude profile predicts that in the northern segment the 85°E Ridge is a geo-morphological feature within the sediments above the basement whereas to the South of 15°N latitude it is a feature within the oceanic crust (below the basement). Further the reverse magnetization associated with the seafloor spreading anomalies lying on the 85°E Ridge belongs either to the Albian period or the anomaly A34/A33. The 85°E Ridge would be younger than these seafloor spreading anomalies and would have formed due to horizontal compressional forces of the lithosphere preceding development of the subduction zone at the Andaman trench. [Copyright &y& Elsevier]

This paper seeks to identify and analyze the factors that explain differential outcomes of joint forest management (JFM) in the Indian state of Andhra Pradesh. Factors affecting the performances of JFM communities are analyzed using an ordered logit model. The results indicate that JFM communities are more likely to perform well when they are smaller in size and when forest resources in the JFM community are scarce. Presence of social capital and high value forests are also likely to promote good forest growth. Effective protection of forests is likely to contribute to the growth of forests. JFM communities that were initiated by NGOs are more likely to manage forests effectively than the one initiated by the Forest Department. [Copyright &y& Elsevier]

Abstract: The newly constructed port in 2001 at Ennore, on the southeast coast of India near Chennai, with breakwaters on either side (north and south) has been causing large-scale changes in nearshore morphology. Beach profiles and shoreline positions along 25 km coastline of Ennore were measured at regular intervals during 2001–06 to understand the sediment transport patterns in the region. At the same time the results of wave hind-casting and wave transformation modeling were incorporated in LITDRIFT model to compute the sediment transport rates along Ennore coast. The model results are compared with the sediment transport values obtained from beach profile measurements. The performance of the model at different locations within the study area with variable wave conditions has been examined. The annual net sediment loss (−) versus accumulation (+) were estimated for two smaller study areas (cells) containing ten regularly spaced beach profiles numbered from north to south, BP1-5 in cell I and BP6-10 in cell II. For the cell I region, which is protected by the Ennore shoals and where human interference is minimum, the annual net sediment supply is +0.02×106 m3 as obtained from beach profile measurements while the model gave a value of +0.014×106 m3. For the cell II region where there is large human intervention by way of Ennore port development and breakwater construction, the annual net sediment movement as obtained by the beach measurements is −0.14×106 m3 while the model gave a value of −0.154×106 m3. It is found that the performance of the model is satisfactory and the model may be used successfully to study sediment dynamics along any coastline provided one has detailed understanding of the coastline orientation, nearshore topography, cross-shore bathymetry and prevailing annual wave climate. Based on the sediment transport data and beach profile measurements the beach and shoreline changes for transect locations BP-1 to BP-10 are also critically examined in this paper. [Copyright &y& Elsevier]

In this paper an experience, environmental assessment, a model for exit gas composition, agglomeration problem and a model for solid population balance of 10MW power plant at Jalkheri, Distt. Fatehgarh Sahib, Punjab, India based on rice husk has been discussed. Three phase multistage mathematical model for exit gas composition of rice husk in fluidized bed has been derived. The model is based on three-phase theory of fluidization and material balance for shrinking rice husk particles and it is similar to model developed by Kunii and Levenspiel. The burning of rice husk is assumed to take place according to single film theory. The model has been used to predict the exit gas composition particularly O2, CO2 and N2. The agglomeration problem of above plant which is main reason for defluidization of bed has also been discussed. SEM of ash agglomerates has been done. Ash samples taken from the above 10MW power plant at Jalkheri has been quantitatively analyzed. Finally solid population model has been formed to calculate bed carbon load and carbon utilization efficiency. Above two models are experimentally correlated with the data collected from the above 10MW power plant at Jalkheri, Distt. Fatehgarh Sahib, Punjab, India which uses rice husk as a fuel input (at the time of study). All the results from the model for rice husk are coming with in permissible limits. [Copyright &y& Elsevier]

A model for the wetland part of KNP is presented and analyzed. Two-dimensional parameter scans suggest that this minimal model possesses dynamical complexities. Per capita availability of water to “bad” biomass (W 1) is one of the most vital parameters. One can ensure good health of the park by restricting the par capita availability of water to low values. Getting the “bad” biomass removed by granting permits to villagers should go hand in hand with water management and conservation activities. The model presented in this paper may be helpful in designing the timing and nature of human interventions in the form of implementation of well worked out policies in future. [Copyright &y& Elsevier]