Surface runoff estimation of Wadi Ba Al-Arid watershed North East Libya, using SCS-CN ,GIS and RS data

الموضوعات :

Salah Hamad ¹

1 - Department of Natural Resources, Faculty of Natural Resources and Environment Sciences, University of Omar Al Mukhtar Al Baydah, Libya

تاريخ الإرسال : 25 الثلاثاء , محرم, 1441 تاريخ التأكيد : 22 الأحد , جمادى الثانية, 1441 تاريخ الإصدار : 10 الأربعاء , ذو القعدة, 1441

الکلمات المفتاحية: hydrology, remote sensing, GIS, Al-Jabal Al-Akhdar, Watershed,

ملخص المقالة :

The aim of this study is to estimate runoff in Wadi Ba Al Arid watershed for a period of ten years 2009-2018 by Soil Conservation Service Curve Number (SCS-CN) method in combination with the GIS techniques using remote sensing data. The used data are the daily rainfall data from NASA Prediction of Worldwide Energy Resource (POWER), digital elevation data (DEM) from ALOS PALSAR RTC , satellite imagery from the European Space Agency (ESA) Sentinel, and soil data represented in soil maps of a scale 1: 50,000 and some local studies carried out by several Libyan institutions. The overall area of the watershed is about 136.4 km2 and perimeter107.3 Km. The watershed upstream and downstream is well recognized due to the topographical difference as a result of the tectonic geology. Soil maps were processed and classified into hydrologic soil groups (HSG), where the dominant HSG in the study area are C and D. The Landcover/Land use (LULC) was classified into five classes (forest, shrubs, agriculture, barren land) and built up. The HSG and LULC layers were intersected and the CN values and the weighted curve number for each Antecedent Moisture (AMC) condition were assigned. Furthermore, the runoff depth was estimated and the average runoff volume for ten years during 2009–2018 in the study area was estimated by 1.67 Mm3 which represents 4.6 % of the observed average annual rainfall as 264.3 mm during 2009-2018. The rainfall-runoff relationship has shown a strong correlation with the value of 0.75.

المصادر:

1. Allan JA (1973) Agricultural Development in Libya. Annual Report - Society for Libyan Studies 4: 6–7


2. Amutha R, Porchelvan P (2009) Estimation of surface runoff in Malattar sub-watershed using SCS-CN method. Journal of the Indian Society of Remote Sensing  37(2):291–304.


3. Arghin SS, Hamad SM (2003) Water Resource of Cyrenaica. Workshop on National Water Resource Management 11-12. Benghazi, Libya.


4. Bansode A, Patil KA (2014) Estimation of runoff by using SCS curve number method and arc GIS. International Journal of Scientific & Engineering Research 5(7):1283–1287


5. Chow VT, Maidment DK, Mays LW (2002) Applied Hydrology, McGraw-Hill Book Company, New York, USA.


6. Congedo L (2016) Semi-automatic classification plugin documentation. Release 4(0.1): p29.


7. Environmental Systems Research Institute (ESRI) (2018) Arc GIS Desktop Help 10.2. An overview of the Hydrology toolset,  Redlands. CA, USA.


8. Hydrogeo Consulting Engineers (1996) Groundwater resource evaluation of Al Baydah - Al Bayadah Area. General Water Authority reports. Benghazi: Libya.


9. Malekani L, Khaleghi S, Mahmoodi M (2014) Application of Gis In Modeling Zilberchai Basin Runoff. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-2/W3: 181–186.


10. Mishra SK, Singh VP (2003) Soil Conservation Service Curve Number (SCS-CN) Methodology. Water Science and Technology Library Springer 42: 84–146.


11. NASA Power (2019) Prediction of Worldwide Energy Resource (POWER) Project. Available on: https://power.larc.nasa.gov/


12. Pradhan R, Pradhan MP, Ghose MK, Agarwal VS, Agarwal S (2010) Estimation of Rainfall­Runoff using Remote Sensing and GIS in and around Singtam, East Sikkim: International Journal of Geomatics and Geosciences 1(3): 466-476.


13. SCS (1956,1964,1971,1985,1993) Hydrology -National Engineering Handbook, Supplement A, Section 4, Chapter 10. United States Department of Agriculture Soil Conservation Service, Washington, DC.


14. Selkhoz PE (1980) Soil Studies in the Eastern Zone of The Socialist People. Agricultural Reclamation and Land Development and Vneshtorgreklama Publishing House: 500p


15. Shadeed S, Almasri M (2010) Application of GIS-based SCS-CN method in West Bank catchments, Palestine. Water Science and Engineering: 3(1):1-3.


16. USDA (2009) Hydrologic Soil Groups, National Engineering Handbook. United States Department Agriculture USDA. Washington, DC 13p.


17. Vinithra R, Yeshodha L (2016) Rainfall- Runoff Modelling Using SCS-CN Method: A Case Study of Krishnagiri District, Tamilnadu. International Journal of Science and Research 5(3): 2080–2084.