A study on chemical analysis of drinking water from some communities in Nandyal rural areas of Kurnool district ,Andhra pradesh, India

ABSTRACT This study consisted of the determination of the trace metal ions and some physiochemical properties in drinking water samples from the neighboring villages of Nandyal region, Kurnool district, where drinking water samples are not treated before it is consumed. The purpose was to ascertain the quality of water from these sources. Samples were taken from ten sampling points and analyzed for the following parameters Fe, Cu, Mn, Zn, Al, pH,EC,NO3-, SO 4 , and F-using the procedure outline in the plain test photometer method. The data showed the variation of the investigated parameters in samples as follows: pH 5.47-7.39, conductivit

1D-2D MODELING OF URBAN FLOODS AND RISK MAP GENERATION FOR THE PART OF HYDERABAD CITY

Space for water is now becoming guiding principle of urban planning because urban flooding is the major problem facing by most of the cities in India. Urban development in developing countries like India usually occurs with high population concentrating in small areas, with poor drainage conditions. People occupy floodplain areas in low flood years and when larger flood occurs it causes high damage. The origin for urban floods is floodplains encroachment and unplanned drainage systems. Complexities in the urban environment and drainage infrastructure have an inherent influence on surface runoff. This runoff generates urban flooding which poses challenges to modeling urban flood hazard and risk. As like in river flooding satellite images are not available for unban flooding scenario. So better modelling provides minimizing loss of life and property. The present study focuses on recognizing the highly effected areas which are liable to flooding when extreme rainfall occurs for part of Hyderabad city (Zone XIII). The entire Hyderabad city is divided into 16 zones and each zone having details of existing drain network. A coupled 1D-2D flood modelling approach is used to identify flood prone areas and develop flood inundation and flood risk maps. 1D model for pilot area is developed using storm water management model (SWMM) and coupled with 2D PCSWMM. A web based GIS platform INPPINS is used to geo reference the existing network details and exported to 1D SWMM model. The model is simulated for extreme flood event occurred in past. The simulation run results identifies overflowing drainage nodes and flood inundation maps and risk maps prepared. The flood risk maps identify the low lying areas which need immediate attention in case of emergency. The overflowing nodes suggest the need of improvement of drainage in the area to safely dispose of the storm water and minimize the flooding

Optimal Design of Intermittent Water Distribution Network Considering Network Resilience and Equity in Water Supply

In urban areas of developing countries, due to industrialization and population growth, water demand has been increasing significantly, thereby increasing stress on the existing water distribution systems (WDSs). Under these circumstances, maintaining equity in the allocation of water becomes a significant challenge. When building an intermittent water distribution system, it is important to provide a minimum level of supply that is acceptable as well as water supply equity. A non-dominated sorting genetic algorithm (NSGA-II) is employed for the optimal design of an intermittent water distribution network (WDN). Network resilience is taken as a measure of reliability (In), while the uniformity coefficient (CU) is taken as a measure of equity in the water supply. Maximizing network resilience, uniformity coefficient, and minimization of cost of the network are considered as the objectives in the multi-objective optimization model. Pressure-driven analysis (PDA) is used for the hydraulic simulation of the network. The NSGA-II model is applied and demonstrated over two water distribution networks taken from the literature. The results indicate that reliability and equity in WDNs can be accomplished to a reasonable extent with minimal cost

Incidence of cardiovascular diseases and associated risk factors among subjects with type 2 diabetes – An 11-year follow up study

Aims: This study was planned to assess the development of cardiovascular disease (CVD) events over an 11-year period and to identify the associated risk factors that could predict the onset of CVD among subjects with type 2 diabetes. Methods: Retrospective data of 249 patients (M:F 149:100) with type 2 diabetes, from a cohort of 7800 patients, attending a tertiary care center for diabetes from January 2000 to December 2011 were retrieved and analyzed for this study. Sociodemographic and habitual risk factors, baseline diabetes duration, HbA1c and time of onset of CVD and its risk factors were collected from case records. Person-years method was used to calculate incident rate of CVD. Binary logistic regression analyses were done to identify predictors associated with CVD and its risk factors. Results: Incidence of CVD among subjects with diabetes was 5.6 cases/1000 person-years. Nearly 60% developed hypertension and dyslipidemia or both during the 11-year period. The most common complication was neuropathy (14.4%). Smoking [OR (95%CI)] [9.26 (1.6–54.9)] (p = 0.014) and heavy alcohol consumption [8.7 (1.1–69.8)] (p = 0.04) were significantly associated with CVD. Higher BMI was significantly associated with hypertension and dyslipidemia [2.4 (1.3–4.3)] (p = 0.003). Conclusions: Smoking and heavy alcohol consumption were significantly associated with CVD, and increased BMI was significantly associated with hypertension and dyslipidemia among subjects with type 2 diabetes in this study population. These findings emphasize the need for early identification and modification of risk factors associated with CVD events in patients with diabetes

Influence of Organic Manures and Organic Sprays on Productivity and Economics of Summer Greengram [Vigna radiata (L.) Wilczek]

A field experiment was conducted to investigate the influence of organic fertilizers and organic sprays on the productivity and economic parameters of summer greengram (Vigna radiata) cultivation. The experiment was designed as a split-plot design with three replications. The primary plots encompassed four organic fertilizer treatments: Control (M1), Farm yard manure (M2), Vermicompost (M3), and Poultry manure (M4). The sub-plots included three organic spray treatments: Control (S1), Panchagavya (S2), and Jeevamrutha (S3). The results of the experiment revealed that the combination of poultry manure as the organic fertilizer in conjunction with the application of Panchagavya spray had the most significant impact on both seed yield (779 kg ha-1) and haulm yield (1909 kg ha-1) for summer greengram cultivation. Furthermore, this specific combination demonstrated notably higher gross returns (₹48,648 ha-1), net returns (₹30,125 ha-1), and a favourable B C ratio of 2.60

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Not AvailableBackground. The chlorophyll content is susceptible to deficit moisture stress and may affect the plant yield. Leaf chlorophyll content is directly related to tolerance and higher productivity under deficit moisture stress (WS). The SPAD meter is an excellent tool for rapid analysis of crop chlorophyll content. Therefore, establishing a relationship between leaf chlorophyll content and seed yield is crucial in sesame, particularly under deficit moisture stress. Methods. Seeds of 37 sesame genotypes with checks were used in this study. These genotypes were mostly landraces, adapted to different agro-ecological zones in India. The selected genotypes were evaluated under well water (WW) and deficit moisture stress (WS) conditions. The SPAD readings were recorded ten (10) times each at every seven days intervals from the juvenile/first bud (30 35 days after sowing) to ripening/ physiological maturity (95 100 days after sowing) stage. This study aimed to identify the association between leaf SPAD readings (recorded at 7-days interval) and seed yield of sesame genotypes. Results. The analysis of variance revealed the presence of significant variation in SPAD readings due to treatment (WW and WS), genotypes, and their interaction effects. The SPAD readings at all stages were positively correlated with seed yield in both WW and WS. High values of correlation coefficients were observed at 52 (r: 0.672) and 59 (r: 0.655) DAS under WS; whereas at 59 (r: 0.960), 66 (r: 0.972) and 73 (r: 0.974) DAS under WW at one percent significance level (p<0:01), which coincided with the mid-bloom stage of the sesame crop. The best-fit multiple regression model revealed that the dependence of sesame seed yield is significantly influenced by SPAD reading at 52 DAS under WS and 59 to 73 DAS under WW. Both these models provide a good fit with the chi-squared test, which compares the predicted and observed yield.Not Availabl

Short-Lived, Intense and Narrow Bluish-Green Emitting Gold Zinc Sulfide Semiconducting Nanocrystals

In nanoscale, gold is one of the widely studied metals. It is well-known for its size dependent surface plasmonic absorbance. It has also been reported that clusters of a few atoms of gold can show fluorescence. However, these optical properties of gold are mostly associated with Au(0), and little has been explored for the compounds of gold in nanoscale. Herein, we report a new semiconducting nanocrystalline material involving Au­(I), which shows intense, narrow, and stable emission at its bandedge absorption. These are composed of Au, Zn, and S and synthesized by introducing Au to zinc sulfide or Zn to gold­(I) sulfide nanocrystals in their aqueous dispersion and under ambient condition. The obtained emission is short-lived and tunable in a short spectral window. These new semiconducting fluorescent gold based nanomaterials are characterized with UV–visible, photoluminescence spectroscopy, TCSPC, HRTEM, STM, and STS experiments. Further, the electrical and optical sensing properties of these nanocrystals have also been measured

Current rectification by a single ZnS nanorod probed using a scanning tunneling microscopic technique

We report on the rectification properties from a single ZnS nanorod measured using the UHV-SPM technique. The rectification behavior is evidenced from the current-voltage characteristics measured on a single ZnS nanorod. We propose a tunneling mechanism where the direct tunneling mechanism is dominant at lower applied bias voltages followed by resonant tunneling through discrete energy levels of the nanorod. A further increase in the bias voltage changes the tunneling mechanism to the Fowler-Nordheim tunneling regime enabling rectification behavior. Realizing rectification from a single ZnS nanorod may provide a means of realizing a single nanorod based miniaturized device