Prediction of Wadi Discharge in East-Central Sudan and its Impacts on Water Resources Management
Seasonal streams (wadis) are of vital importance in dry and semidry countries including Sudan. Depending on rainfall variability, the annual discharge of such wadis was estimated to range from 3 to 7km3 per annum. In the present study two wadi-discharge prediction methodologies were used to predict the discharge of Khor (wadi) Abu Fargha. The first methodology depends on the ENSO (El Nino Southern Oscillation) event which was divided into six distinct stages. The discharge during each stage was compared to previously estimated rainfall in the dry zone of the Sudan during the concurrent stage. The methodology was found to illustrate about 83％ of the discharge behaviour of Khor Abu Fargha. This high prediction skill is attributed to the fact that the wadi is located in an area that is influenced by the ENSO event and to the availability of the discharge data for consecutive 34 years. The use of global sea surface temperatures (SSTs) in rainfall seasonal forecast studies was initiated during the 1990s through the development of empirical-statistical models. Using such methodology the models predicting Abu Fargha discharges were found to excel those for some meteorological stations and the dry zone of the Sudan as well. This is attributed to the fact that wadi discharges represent the whole catchment area whereas rainfall data represent only the rain gauge readings. The models using May global SSTs achieved better predictability in Abu Fargha discharges the thing which was found to be consistent with the results obtained in previous studies by Kassala meteorological station which is located in the vicinity of the wadi. The paper illustrates the use of the wadi-prediction information in forecasting the available storage of the aquifers and concluded that combining the different information, realistic management of surface and ground water resources can be achieved. The study recommended the use of water conservation techniques, integrated dryland management approaches.
wadi prediction ENSO event sea surface temperatures (SSTs) management
Tarig El Gamri Amir B. Saeed Abdalla K. Abdalla
Desertification Research Institute, the National Centre for Research, P. O. Box 6096 Peoples Hall, Faculty of Agriculture, University of Khartoum, P. O. Box 32 Shambat, Khatroum North, Sudan Sudan Meteorological Authority, Khartoum, Sudan
国际会议
山东东营
英文
309-318
2007-10-16（万方平台首次上网日期，不代表论文的发表时间）