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Study on the applicability of the SCS CN based models to simulate foods in the semi arid watersheds of northern Algeria

Abdi Ishak, Meddi Mohamed

Acta Geophysica

2021

Vol. 69, no. 1

217--230

Algeria has experienced catastrophic foods over the second half of the twentieth century, causing many deaths and extensive material damage. This study was conducted to fnd a suitable event-based rainfall-runof (RR) model for semi-arid conditions, where continuous data are not available in all regional basins. The study compared, based on data availability, the SCS-CN model based on the antecedent moisture conditions (AMC) and four modifed SCS-CN models incorporating antecedent moisture amounts (AMA) in order to fnd the best model to reproduce the food hydrographs in two catchments. The modi fed models were predominant over the SCS-CN method. Nonetheless, the Singh et al. (Water Resour Manag 29:4111–4127, 2015. https://doi.org/10.1007/s11269-015-1048-1) model (M4) and the Verma et al. (Environ Earth Sci 76:736, 2017a. https ://doi.org/10.1007/s12665-017-7062-2) model (M5) were superior and demonstrated more stable structures. Coupled with the Hayami routing model, the models showed promising results and were able to reproduce the observed hydrographs’ shape. However, it was impossible to choose the preferred model since they each excelled as to a criterion. Therefore, the corresponding outputs were combined using the simple average (SA) method and the weighted average (WA) method. We found that the WA method showed better results in the two catchments and allowed a more accurate prediction according to the performance criteria.

Effective Approach for Data Aggregation in Wireless Sensor Network: a Structure Free Approach

Prasad U., Adane D. S.

Journal of Applied Computer Science Methods

2014

Vol. 6 No. 1

55--65

Wireless Sensor Network consist of thousands sensor node which have limited Power, Computation, Sensing and Communication capabilities. Among all operation of Sensor Node, Wireless Communication consumes most of the energy. So it is necessary to decrease the number of packets transmitted through the network. Many Sensor Node could detect similar event, which increases the overall bandwidth utilization to transmit redundant data. Here Nodes computation is cheaper than communication in terms of energy. So the technique of Data Aggregation is applied to summarize data which decreases the amount of data transmitted in the network, which in turn increases the lifetime of the network. Many Data aggregation protocols are based on a structured approach which is suitable for data collection application. But maintenance of the structure is an extra overhead and this approach is not suitable for dynamic scenario. So we propose an ad-hoc data aggregation protocol for dynamic scenario mainly event based application.