IOSR-JESTFT   Volume-10 ~ Issue-7 ~ July 2016

Abstract: This study compared the application of time series methods for forecasting groundwater levels at nine upazila's in Rajshahi district, Bangladesh. Accurate and reliable groundwater level forecasting models can help ensure the sustainable use of groundwater. A new method was proposed for forecasting groundwater level by combining the wavelet technique with seasonal autoregressive integrated moving average (SARIMA) and neural network autoregressive (NNAR) model applied to monthly groundwater level............

KeyWords: Groundwater Level Forecasting; Rajshahi District; W-SARIMA; W-NNAR

[1]. Adamowski, J. and H. F. Chan (2011).A wavelet neural network conjunction model for groundwater level forecasting. Journal of
Hydrology407(1): 28-40.
[2]. Adamowski, J. and K. Sun (2010).Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. Journal of Hydrology 390(1): 85-91.
[3]. Adamowski, J., Karapataki, C., 2010. Comparison of multivariate regression and artificial neural networks for peak urban water-
demand forecasting: evaluation of different ANN learning algorithms. J. Hydrol. Eng. 15 (10), 729-743. http://dx.doi.org/10.1061/(ASCE)HE.1943-5584.0000245.
[4]. Adamowski, K., A. Prokoph and J. Adamowski (2009).Development of a new method of wavelet aided trend detection and
estimation. Hydrological Processes23(18): 2686-2696.
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Abstract: Air conditioners are temperature cooling equipment used in modifying air temperature of homes, offices, and industries for various reasons. Nevertheless, such artificial environments may be favorable to fungi, bacteria, protozoan and mites growth, which may bring health risks to users, either by hypersensitivity or infections. The microbial contamination of these air conditioner filters was examine in Tertiary Institution in Sokoto north western part of Nigeria using culture techniques.........

Keywords: Air-conditioning filters, bacteria, fungi, microbial contamination, cooling equipment

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Abstract: Chickpea locally known as garbanzos is being introduced in the Philippines to help reduce importation, improve nutritional problem and as alternative high value crop for the farmers and provide alternative health promoting food products in the market and alternative livelihood opportunities for entrepreneurs. ICCV 93952, ICCV 92311, ICCV 2, ICCV 94954, ICCV 95332, produced high yields and found to be productive under highlands conditions. Chickpea is a good source of minerals, protein and trace elements. Based on the results of the nutritional content of chickpea flour, it showed that it is high in dietary fiber, potassium, iron and sodium.........

Keywords: buns, desi-type, kabuli-type, garbanzos, leche flan

[1]. Gonzales, F.R, et al 2010. Package of Technology of chickpea (Cicer arietanum L.) in Cordillera Administrative Region (CAR). Benguet State University, La Trinidad, Benguet
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[6]. FNRI-DOST. 2009. Glyceamic index of common foods. FNRI-DOST, Taguig, Metro Manila

Abstract: Agricultural productivity in Kenya, as in many developing countries, is significantly affected by rainfall variability. The reliability of the rain for agricultural purposes has reduced in the recent years due to climate variability and change. In the study area, there is a continued trend of more frequent and intense climate related disasters which is expected to have significant impacts on the livelihood activities. Most studies on the impact of climate variability on farming practices and the response strategies have mainly focused on arid and semi-arid regions of Kenya and have used community level data..........

Keywords: Weather shocks, Rainfall, Rainfall variability

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