Development of streamflow forecasting model using artificial neural network in the Awash River Basin, Ethiopia

Published ArticleEarly indication of possible drought can help in developing suitable drought mitigation strategies and measures in advance. Therefore, drought forecasting plays an important role in the planning and management of water resource in such circumstances. In this study, a non-linear streamflow forecasting model was developed using Artificial Neural Network (ANN) modeling technique at the Melka Sedi stream gauging station, Ethiopia, with adequate lead times. The available data was divided into two independent sets using a split sampling tool of the neural network software. The first data set was used for training and the second data set, which is normally about one fourth of the total available data, was used for testing the model. A one year data was set aside for validating the ANN model. The streamflow predicted using the model on weekly time step compared favorably with the measured streamflow data (R2 = 75%) during the validation period. Application of the model in assessing appropriate agricultural water management strategies for a large-scale irrigation scheme in the Awash River Basin, Ethiopia, has already been considered for publication in a referred journal

Outbreak of Tinea capitis by Trichophyton tonsurans and Microsporum canis in Niterói, RJ, Brazil

18 girls from an orphanage (Orfanato Santo Antônio) in Niterói presented tinea capitis due to Trichophyton tonsurans (15 cases - 83.3%) and Microsporum canis (3 cases - 26.7%). Comments are made about clinical, mycological and therapeutic aspects of this microepidem

Municipal water supply management in Bangkok: Achievements and lessons

10.1080/07900621003710661International Journal of Water Resources Development262193-217IJWD

Climate risks and adaptation strategies in the Lower Mekong River basin

This paper examines perceived climate risks, their impacts, and existing adaptation practices at the local level, including the role of local institutions. The analysis focuses on two selected areas in Vietnam and Thailand. The paper is based on the information collected through key informant interviews at provincial and district level, focus group discussions at village level, and household survey. Several adaptation practices exist at local level to deal with the perceived risks of drought, floods, and salinity intrusion. Most of the adaptation practices were autonomous focusing on coping with short-term risks rather than structural long-term climate risks. Some adaptation practices, such as crop insurance and regulatory measures included in the literature and practiced in other places, did not exist at local level in the case study countries, but some local practices such as farmers’ annual fair could be an important addition to the inventory of potential adaptation measures. Local institutions have facilitated adaptation in different ways. They (1) lead and support unique adaptation practices suitable to the local context; (2) act as a catalyst to help people to adapt some practices by providing technical and material support; and (3) act as the bridge between local people and the governmental and non-governmental agencies. But several factors constrain the effectiveness of locally practiced adaptation measures. Thus, to enhance the adaptive capacity of households and the local community, it is necessary to: (1) improve the technical capacity of farmers; (2) create effective mechanisms for strengthening, promoting, and disseminating locally initiated efforts; (3) subsidize and improve access to credit services; (4) improve links between production and markets; and (5) establish effective mechanisms for coordination

Indigenous systems of conflict resolution in Oromia, Ethiopia

In van Koppen, Barbara; Giordano, Mark; Butterworth, J. (Eds.). Community-based water law and water resource management reform in developing countries. Wallingford, UK: CABIComprehensive Assessment of Water Management in Agriculture Series

Climate trends and impacts on crop production in the Koshi River basin of Nepal

Understanding crop responses to climate is essential to cope with anticipated changes in temperature and precipitation. We investigated the climate–crop yield relationship and the impact of historical climate on yields of rice, maize and wheat in the Koshi basin of Nepal. The results show significant impact of growing season temperature and precipitation on crop production in the region. Rice, maize and wheat cultivated at altitudes below 1,100, 1,350 and 1,700 m amsl (above mean sea level), respectively, suffer from stress due to higher temperatures particularly during flowering and yield formation stages. Responses of crop yields to a unitary increment in growing season mean temperature vary from -6 to 16 %, -4 to 11 % and -12 to 3 % for rice, maize and wheat, respectively, depending on the location and elevation in the basin. In most parts of the basin, we observe warming trends in growing season mean temperatures of rice, maize and wheat over the last few decades with clear evidence of negative impacts on yields. However, at some high-elevation areas, positive impacts of warming are also observed on rice and maize yields. If the observed trends in temperature continue in future, the impact is likely to be mostly negative on crop production in the basin. However, crop production may gain from the warming at relatively higher altitudes provided other conditions, e.g., water availability, soil fertility, are favorable.Water ManagementCivil Engineering and Geoscience

Catchment scale modelling of point source and non-point source pollution loads using pollutant export coefficients determined from long-term in-stream monitoring data

This paper presents a framework to estimate pollutant export coefficients from commonly available in-stream water quality monitoring data and using these pollutant export coefficients for catchment scale modelling of pollution loadings. A case study is p