Assessment of groundwater quality status by using water quality index (WQI) and geographic information system (GIS) approaches: a case study of the Bokaro district, India

Abstract One hundred two groundwater samples were collected from the Bokaro district of Jharkhand state, India, during the pre-and post-monsoon seasons of the year 2014–2015. In the present study, groundwater samples were analysed for pH, TDS, TH, Ca2+, Mg2+, Na+, K+, Cl−, SO4 2−, HCO3 −, F− and NO3 − to evaluate the suitability of the groundwater for drinking purposes through geographic information system (GIS)-based water quality index (WQI) model. For quality assessment, values of analysed parameters of the groundwater samples were compared with the Bureau of Indian standards (BIS) and World Health Organization (WHO) water quality standards. The analytical results indicate slightly acidic to slightly alkaline nature of the groundwater in the study area. Concentrations of Ca2+, Mg2+, HCO3 −, F−, NO3 −, TDS and TH exceeded the desirable as well as permissible limits of drinking water quality standards recommended by the BIS (Indian Standard Drinking Water Specification, 2012) and WHO (Guidelines for drinking water quality: training pack, WHO, Geneva, 2004) in the study area during the pre- and post-monsoon seasons, respectively. However, Na+, K+, Cl− and SO4 2− concentrations were within the permissible limits during both seasons. The hydrochemical analysis of the studied groundwater samples documented with ternary and Durov diagram revealed that most of the groundwater samples belong to HCO3 − type of anions facies and no dominant type of cation facies. The GIS-based WQI maps for the study area indicate that the poor quality of water was found the maximum in the pre-monsoon season as compared to the post-monsoon season in the study area, respectively. The high values of WQI in the several groundwater samples of the Bokaro district indicate that water is not suitable for direct consumptions and it required sustainable treatment before its utilization for drinking uses

What is the value of logistics for a large pharmaceutical firm?

Thesis (M. Eng. in Logistics)--Massachusetts Institute of Technology, Engineering Systems Division, 2007."June 2007."Includes bibliographical references (leaves 65-69).Understanding business needs arising out of both, external and internal environments, is an essential first step in determining the value of logistics in a large pharmaceutical firm. In this research, we have used a variety of conceptual models and frameworks to explore and understand the pharmaceutical business environment and its present & future business needs. Specifically, two questions anchored the research: What will be the impact of drug technologies on logistics activities? And, should logistics activities be outsourced? Drug technology contributes significantly to a pharmaceutical firm's revenue, but marketing also play an important role in a drug's success by influencing doctors' decisions in favor of the firm's drugs. Since it is difficult to ascertain the true value of a pharmaceutical drug, perception of service plays a critical role in conveying the positive attributes of the drugs to the potential consumers. In this context, this thesis investigates if logistics & supply chain strategy should be aligned with marketing and drug technology strategies to maximize pharmaceutical firm's competitive advantage.(cont.) To this end, we investigated the impact of dominant drug technologies on the logistics function in the pharmaceutical industry as technology drives revenue growth in the industry. It was found that business & competitive needs lead firms to develop new drugs using different types of innovative drug technologies. Indeed, the requirements of different drug technologies are different and impact business decisions related to procurement, inventory, transportation, and facility network design in different ways. Therefore, by ignoring the impact of chosen technology on supply chain design, a firm will find itself in a difficult position. Thus, we strongly believe that supply chains play an important role in extracting the maximum value out of its huge investment in drug development and marketing. Therefore, outsourcing of logistics activities should be done only after analyzing how different drug technology categories will affect operational metric requirements of logistics activities and if logistics activities can protect the economic profits.by Prasoon Tiwari.M.Eng.in Logistic

Identification of suitable locations for artificial groundwater recharge in a mining area of India by using remote sensing and GIS techniques

Mining is one of the major activities causing water pollution and threating the quality and quantity of surface and groundwater resources in many parts of the world. Mining and related activities also damage the aquifer and decrease the water availability in the area. Groundwater may be considered as one of the most precious and basic needs for human existence and the survival of people providing the luxuries and comforts in addition to fulfilling the basic necessities of life. In India, more than 90% of the rural and nearly 30% of the urban populations depend on groundwater for drinking and domestic requirements. Historically, the overexploitation of groundwater resources is a major issue in Indian country. In fact in the last decades annual water demand has increased for agricultural and industrial activities. The hydrogeological system characterization and the artificial recharging of aquifers might help to solve the problem of the groundwater level decreasing. For this purpose, six important hydrogeological factors such as slope, infiltration, drainage, depth to groundwater, land use and geology have been considered to define the most suitable locations for artificial groundwater recharge in mining area. Different thematic maps were prepared from existing maps and data sets, remote-sensing images, and field investigations for identification of suitable locations for artificial recharge. Thematic layers for these parameters were organized as raster data, classified, weighted and integrated in a GIS environment using of Boolean and Fuzzy logic. The main objective of the present study is identifying artificial recharge site in West Bokaro coalfield of Jharkhand state using remote sensing and GIS applications, in order to make a proper planning and sustainable management of groundwater resources

On the Convergence of Newton's Method for Solving Systems of Linear Equations

Coordinated Science Laboratory was formerly known as Control Systems LaboratorySemiconductor Research Corporation / SRC 86-12-109IBM doctoral fellowshipRCA doctoral fellowshi

Identification of suitable locations for artificial groundwater recharge in a mining area of India by using remote sensing and GIS techniques

Mining is one of the major activities causing water pollution and threating the quality and quantity of surface and groundwater resources in many parts of the world. Mining and related activities also damage the aquifer and decrease the water availability in the area. Groundwater may be considered as one of the most precious and basic needs for human existence and the survival of people providing the luxuries and comforts in addition to fulfilling the basic necessities of life. In India, more than 90% of the rural and nearly 30% of the urban populations depend on groundwater for drinking and domestic requirements. Historically, the overexploitation of groundwater resources is a major issue in Indian country. In fact in the last decades annual water demand has increased for agricultural and industrial activities. The hydrogeological system characterization and the artificial recharging of aquifers might help to solve the problem of the groundwater level decreasing. For this purpose, six important hydrogeological factors such as slope, infiltration, drainage, depth to groundwater, land use and geology have been considered to define the most suitable locations for artificial groundwater recharge in mining area. Different thematic maps were prepared from existing maps and data sets, remote-sensing images, and field investigations for identification of suitable locations for artificial recharge. Thematic layers for these parameters were organized as raster data, classified, weighted and integrated in a GIS environment using of Boolean and Fuzzy logic. The main objective of the present study is identifying artificial recharge site in West Bokaro coalfield of Jharkhand state using remote sensing and GIS applications, in order to make a proper planning and sustainable management of groundwater resources

Identification of artificial groundwater recharging zone using a GIS-based fuzzy logic approach: a case study in a coal mine area of the Damodar Valley, India

Abstract The West Bokaro coalfield is a richest coal-mining belt in the Damodar Valley, India. The extensive mining of the area has resulted in disruption of the groundwater availability in terms of both quantity and quality. This has led to a drinking water crisis, especially during the pre-monsoon period in the West Bokaro coalfield area. The characterization of the hydrogeological system and the artificial recharging of the aquifers might help to better manage the problem of the groundwater-level depletion. For this purpose, seven important hydrogeological factors (water depth, slope, drainage, soil, infiltration, lithology, and landuse) have been considered to define the most suitable locations for artificial groundwater recharging in the mining area. Different thematic maps were prepared from existing maps and data sets, remote-sensing images, and field investigations for identification of the most suitable locations for artificial recharge. Thematic layers for these parameters were prepared, classified, weighted, and integrated into a geographic information system (GIS) environment by means of fuzzy logic. The results of the study indicate that about 29 and 31% of the area are very suitable and suitable for recharging purposes in the West Bokaro coalfield. However, the rest of the area is moderate to unsuitable for recharging due to the ongoing mining and related activities in the study area. The groundwater recharging map of the study area was validated with measured electrical conductivity (EC) values in the groundwater, and it indicated that validation can be accepted for the identification of groundwater recharging sites. These findings are providing useful information for the proper planning and sustainable management of the groundwater resources in the study area

Lower Bounds on Common Knowledge in Distributed Algorithms

Coordinated Science Laboratory was formerly known as Control Systems LaboratoryJoint Services Electronics Program / N00014-79-C-0424National Science Foundation / MCS-8217445Eastman Kodak CompanyNational Science Foundation / MCS-830239

The Communication Complexity of Distributed Computing and a Parallel Algorithm for Polynomial Roots

87 p.Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1986.In the first part of the thesis, we begin with a discussion of the minimum communication requirements in some distributed networks. The main result is a general technique for determining lower bounds on the communication complexity of problems on various distributed computer networks. This general technique is derived by simulating the general network by a linear array and then using a lower bound on the communication complexity of the problem on the linear array. Applications of this technique yield nontrivial optimal or near-optimal lower bounds on the communication complexity of distinctness, ranking, uniqueness, merging, and triangle-detection on a ring, a mesh, and a complete binary tree of processors.A technique similar to the one used in proving the above results, yields interesting graph theoretic results concerning decomposition of a graph into complete bipartite subgraphs. Let (tau)(G) be the minimum number of complete bipartite graphs needed to partition the edges of G. Our results give tight bounds on (tau)(G) for certain classes of graphs.In an attempt to relate various models of distributed computation, we obtain a simulation result between two different models. We prove that every problem solved by a chaotic algorithm can also be solved by a token algorithm that uses at most three times the total number of messages in the worst case.The second part of the thesis, is devoted to the design of a fast parallel algorithm for determining all roots of a polynomial. Given a polynomial p(z) of degree n with m bit integer coefficients and an integer (mu), we consider the problem of determining all its roots with error less than 2('-(mu)). It is shown that this problem is in the class NC if p(z) has all real roots. Some interesting properties of a Sturm sequence of a polynomial are proved and used in the design of a fast parallel algorithm for this problem. Using Newton identities and a novel numerical integration scheme, this algorithm determines good approximations to the linear factors of p(z).As an application of this root-finding algorithm, we also prove that the problem of finding all eigenvectors of a symmetric matrix is also in NC.U of I OnlyRestricted to the U of I community idenfinitely during batch ingest of legacy ETD

The Power of Choice in Scheduling Parallel Tasks

A malleable parallel task is one that can be executed on any number of processors, with its execution time being a function of the number of processors allotted to it. A nonmalleable parallel task is one that requires a specific number of processors. Given n independent parallel tasks and m identical processors, we consider the problem of scheduling these tasks to minimize average completion time. Even though this is a classical scheduling problem, the first results in this direction were obtained only recently by Turek, Schwiegelshohn, Wolf, and Yu [Proceedings of the Fifth SIAM Symposium on Discrete Algorithms, 1994]. They presented an algorithm for scheduling nonmalleable parallel tasks with an approximation factor of 32. We give an algorithm for scheduling malleable tasks that has an approximation factor of 2, under the assumption that for each task, work is a nondecreasing function of the number of processors allotted to the task. Our algorithm and analysis incorporate an improv..