Abstract
Identifying a good site for groundwater exploitation in hard-rock terrains is a challenging task. In Sinai, Egypt, groundwater is the only source of water for local inhabitants. Interpretation of satellite data for delineation of lithological units and weathered zones, and for mapping of lineament density and their trends, provides a valuable aid for the location of groundwater promising areas. Complex deformational histories of the wide range of lithological formations add to the difficulty. Groundwater prospect mapping is a systematic approach that considers the major controlling factors which influence the aquifer and quality of groundwater. The presented study aims to delineate, identify, model and map groundwater potential zones in arid South Sinai using remote sensing data and a geographic information system (GIS) to prepare various hydromorphogeological thematic maps such as maps of slope, drainage density, lithology, landforms, structural lineaments, rainfall intensity and plan curvature. The controlling-factor thematic maps are each allocated a fixed score and weight, computed by using a linear equation approach. Furthermore, each weighted thematic map is statistically computed to yield a groundwater potential zone map of the study area. The groundwater potential zones thus obtained were divided into five categories (very poor, poor, moderate, good and very good) and were validated using the relation between the zone and the spatial distribution of productive wells and of previous geophysical investigations from a literature review. The results show the groundwater potential zones in the study area, and create awareness for better planning and management of groundwater resources.
Résumé
L’identification d’un bon site pour l’exploitation des eaux souterraines dans des terrains de socle est une tâche difficile. Dans le Sinaï, Egypte, l’eau souterraine est la seule ressource en eau pour les habitants locaux. L’interprétation des données satellitaires pour la délimitation des unités lithologiques et les zones d’altération, et pour la cartographie de la densité des linéaments et de leurs tendances, fournit une aide précieuse pour la localisation de zones d’eaux souterraines prometteuses. Les histoires complexes de la déformation de la grande gamme de formations lithologiques s’ajoutent à la difficulté. La cartographie de prospection hydrogéologique est une approche systématique qui considère les facteurs principaux de contrôle qui influencent l’aquifère et la qualité des eaux souterraines. L’étude présentée a pour objectif de délimiter, d’identifier, de modéliser et de cartographier les zones à potentialité hydrogéologique dans le Sud Sinaï aride en utilisant des données satellitaires et un système d’information géographique (SIG) pour préparer différentes cartes hydromorphologiques thématiques, telles que des cartes de pente, de densité de drainage, de lithologie, des formes topographiques, de linéaments structuraux, d’intensité de précipitations et de plan de courbure. Les cartes thématiques des facteurs de contrôle se voient attribuées à chacune d’entre elles une valeur fixe et une pondération, calculée à l’aide d’une équation linéaire. De plus, chaque carte thématique pondérée est statistiquement calculée pour obtenir une carte de zones à potentialités en eaux souterraines dans la zone d’étude. Les zones à potentialité en eaux souterraines ainsi obtenues sont divisées en cinq catégories (très faible, faible, modérée, bonne et très bonne) et sont validées en utilisant la relation entre la zone et la distribution spatiale des puits productifs et des investigations géophysiques antérieures issues d’une revue de la littérature. Les résultats indiquent les zones à potentialités d’eaux souterraines dans la zone d’étude, et constituent une sensibilisation pour une meilleure planification et gestion des ressources en eaux souterraines.
Resumen
La identificación de un buen sitio para la explotación de agua subterránea en terrenos de roca dura es una tarea difícil. En el Sinaí, Egipto, el agua subterránea es la única fuente de agua para los habitantes locales. La interpretación de los datos de satélite para la delimitación de las unidades litológicas y zonas degradadas, y para el mapeo de la densidad de lineamientos y sus tendencias, proporciona una valiosa ayuda para la ubicación de las zonas promisorias de agua subterránea. Las historias complejas de la deformación del amplio rango de formaciones litológicas añaden dificultad. El mapeo prospectivo del agua subterránea es un enfoque sistemático que tiene en cuenta los principales factores de control que influyen en el acuífero y la calidad del agua subterránea. El estudio que se presenta tiene como objetivo delimitar, identificar, modelar y mapear zonas potenciales de agua subterránea en las zonas áridas del sur del Sinaí, utilizando datos de teledetección y sistemas de información geográfica (GIS) para preparar diversos mapas hidrogeomorfológicos temáticos, tales como mapas de pendiente, de densidad de drenaje, litología, paisaje, lineamientos estructurales, intensidad de las precipitaciones y de planos de curvatura. Los factores de control de los mapas temáticos se asignan a cada una de las calificaciones e importancia determinadas, calculados utilizando una aproximación de una ecuación lineal. Además, cada mapa temático ponderado se calcula estadísticamente para producir un mapa de zonas potenciales de agua subterránea en el área de estudio. Las zonas potenciales de agua subterránea así obtenidas se dividieron en cinco categorías (muy pobres, pobres, moderadas, buenas y muy buenas) y se evaluaron utilizando la relación entre la zona y la distribución espacial de los pozos productivos y de las investigaciones geofísicas previa a la revisión de la literatura. Los resultados muestran las posibles zonas de agua subterránea en el área de estudio, y crean conciencia para una mejor planificación y gestión de los recursos de agua subterránea.
الملخص
تحديد الموقع الأمثل لاستغلال المياه الجوفية بالصخور الصلبة من المهام الصعبة. فالمياه الجوفية هى المصدر الوحيد للسكان المحليين بسيناء، مصر. تفسير بيانات الأقمار الصناعية لتحديد الوحدات الصخرية ونطاقات التجوية ورسم خرائط كثافة الخطوط التركيبية واتجاهاتها يساعد على تحديد المواقع الواعدة للمياه الجوفية. فالتاريخ التركيبى التشوهى المعقد للوحدات الصخرية يضيف صعوبة جديدة لعمليات البحث عن المياه الجوفية. حيث أن التخريط الاستكشافى للمياه الجوفية هو أسلوب منهجى يراعى فيه العوامل الرئيسية المتحكمة والمؤثرة فى نوعية وكمية المياه الجوفية. تهدف الدراسة الحالية إلى تحديد وتخريط ونمذجة المناطق المحتملة لتواجد المناطق المحتملة لتواجد المياه الجوفية بجنوب سيناء كمنطقة قاحلة باستخدام الاستشعار عن بعد ونظم المعلومات الجغرافية وذلك لإعداد الخرائط النوعية الهيدروجيوموفولوجية المختلفة مثل خرائط الانحدار وكثافة شبكة الصرف والوحدات الصخرية والتضاريس والخطوط التركيبية وكثافة الأمطار ومستوى الإنحناء. وقد تم وضع درجة وزن محدد لكل عامل حاكم وحسابه باستخدام معادلة خطية. علاوة على ذلك تم عمل تحليل إحصائى لكل خريطة نوعية موزونة لإنتاج خريطة إمكانات المياه الجوفية لمنطقة الدراسة حيث تم تقسيم خريطة إمكانات المياه الجوفية إلى خمسة فئات (فقيرة جداً – فقيرة – متوسطة – جيدة – جيدة جداً). وعليه تم التحقق من صحتها باستخدام العلاقة بين التوزيع المكانى للأبار المنتجة والفحوص الجيوفيزيائية السابقة. وأظهرت النتائج إمكانات المناطق الواعدة للمياه الجوفية وأوصت بالتوعية لوضع خطط جيدة لإدارة المياه الجوفية.
摘要
在硬岩地域确定地下水开采的绝佳场地是一项具有挑战性的任务。在埃及西奈半岛,地下水是当地居民唯一的水源。描述岩性单元及风化带、绘制其线性构造密度和趋势的卫星资料解译为确定地下水远景区的位置提供了帮助。范围广泛的岩性地层复杂变形历史增加了确定远景区的困难。地下水勘探绘图是充分考虑影响含水层和地下水水质主要控制因素的系统方法。所论述的研究目的就是利用遥感资料和地理信息系统描述、确定、模拟和绘制干旱的西奈半岛南部地下水潜力带,编制各种水文形态地质图件,诸如坡度图、排水密度图、岩性图、地形图、构造轮廓图、降雨强度图和平面曲率图。控制因素专题图每张都分配有固定的分数和权重,利用线性方程方法计算获得这些分数和权重。此外,每个加权的专题图进行统计计算,产生出研究区地下水潜力带图。由此获取的地下水潜力带分为5类(非常差、差、中等、好、非常好),并利用潜力带及生产井的空间分布和文献记载的过去地球物理调查结果之间的关系进行确认。结果显示了研究区的地下水潜力带,提高了更好规划和管理地下水资源的意识。
Resumo
Identificar um bom local para a exploração de águas subterrâneas em terreno de rocha fraturada é uma tarefa desafiadora. No Sinai, Egito, a água subterrânea é o único recurso hídrico para os habitantes locais. Interpretação de dados de satélite para delimitação das unidades litológicas e zonas úmidas, e para mapear da densidade de delineamento e suas tendências, fornece uma ajuda valiosa na localização de áreas promissoras de água subterrânea. Históricos deformacionais complexos de um amplo alcance de formações litológicas aumentam as dificuldades. O mapeamento prospectivo das águas subterrâneas é uma abordagem sistemática que considera fatores de maior controle que influenciam no aquífero e na qualidade das águas subterrâneas. O presente estudo tem como objetivo delinear, identificar, modelar e mapear zonas potenciais de águas subterrâneas no Sul árido do Sinai utilizando dados de sensoriamento remoto e sistema de informação geográfica (SIG) para preparar vários mapas temáticos hidromorfogeológicos, como mapas de declividade, densidade da drenagem, litologia, formações do relevo, lineamentos estruturais, intensidade da chuva e curvatura do terreno. Os mapas temáticos de fatores controladores foram cada um alocado a uma pontuação e peso fixos, computados utilizando uma abordagem de equação linear. Além disso, cada mapa ponderado é estatisticamente computado a um rendimento de um mapa de zona potencial de águas subterrâneas da área de estudo. As zonas potenciais de águas subterrâneas assim obtidas foram divididas em 5 categorias (muito fraco, fraco, moderado, bom e muito bom) e foram validadas utilizando a relação entre a zona e a distribuição espacial dos poços produtivos e das investigações geofísicas prévias para uma futura revisão de literatura. Os resultados mostram as zonas potenciais das águas subterrâneas na área de estudo e criam um alerta para melhor planejamento e gestão dos recursos subterrâneos.
Similar content being viewed by others
References
Abdalla F (2012) Mapping of groundwater prospective zones using remote sensing and GIS techniques: a case study from the Central Eastern Desert, Egypt. J African Earth Sci 70:8–17
Abou El-Magd AA (2003) Quantitative hydrogeological studies on Wadi Feiran Basin, South Sinai, with emphasis on the prevailing environmental conditions. MSc Thesis, Suez Canal University, Ismailia, Egypt, 252 pp
Aggour TA (2006) Water resources of Wadi Feiran with emphasis on geomorphology and geology. Ann Geol Surv Egypt V(XXIX):357–387
Arnous MO (2011) Integrated remote sensing and GIS techniques for landslide hazard zonation: a case study Wadi Watier area, South Sinai, Egypt. J Coast Conserv 15(4):477–497. doi:10.1007/s11852-010-0137-9
Arnous MO (2013) Geotechnical site investigations for possible urban extensions at Suez City, Egypt using GIS. Arab J Geosci 6:1349–1369. doi:10.1007/s12517-011-0441-1
Arnous MO, Green DR (2011) GIS and remote sensing as tools for conducting geo-hazards risk assessment along Gulf of Aqaba coastal zone, Egypt. J Coast Conserv 15(4):457–475. doi:10.1007/s11852-010-0136-x
Arnous MO, Green DR (2015) Monitoring and assessing waterlogged and salt-affected areas in the Eastern Nile Delta region, Egypt, using remotely sensed multi-temporal data and GIS. J Coast Conserv 19(3):369–391. doi:10.1007/s11852-015-0397-5
Arnous MO, Sultan YM (2014) Geospatial technology and structural analysis for geological mapping and tectonic evolution of Feiran-Solaf metamorphic complex, South Sinai, Egypt. Arab J Geosci 7:3023–3049. doi:10.1007/s12517-013-0959-5
Arnous MO, Aboulela HA, Green DR (2011) Geo-environmental hazards assessment of the north western Gulf of Suez, Egypt. J Coast Conserv 15(1):37–50. doi:10.1007/s11852-010-0118-z
Awad WK, Armanious GM (1985) Geoelectric study at El-Wat El-Agramia, Saint Catherine area, Sinai, Egypt. Ann Geol Surv Egypt XV:317–323
Bocco G, Mendoza M, Velazquez A (2001) Remote sensing and GIS-based regional geomorphological mapping: a tool for land use planning in developing countries. Geomorphology 39:211–219
Bubenzer O, Bolten A (2008) The use of new elevation data (SRTM/ASTER) for the detection and morphometric quantification of Pleistocene megadunes (Draa) in the eastern Sahara and the southern Namib. Geomorphology 102:221–231
Butler DR, Walsh SJ (eds) (1998) The application of remote sensing and geographic information systems in the study of geomorphology. Geomorphology 21(3–4):179–349
Caruthers RM, Greenbaum D, Peart RJ, Herbert R (1991) Geophysical investigations of photolineaments in southeast Zimbabwe. Q J Eng Geol 24:437–451
Chang-Jo F, Fabbri AG (2003) Validation of spatial prediction models for landslide hazard mapping. Nat Hazards 30(3):451–472
Chowdhury A, Jha MK, Chowdary VM, Mal BC (2009) Integrated remote sensing and GIS-based approach for assessing groundwater potential in West Medinipur district, West Bengal. India Int J Remote Sens 30:231–250
Dar IA, Sankar K, Dar MA (2010) Remote sensing technology and geographic information system modelling: an integrated approach towards the mapping of groundwater potential zones in hardrock terrain, Mamundiyar. J Hydrol 394:285–295
Eastman JR (1999) Multi-criteria evaluation and GIS. In: Longley PA, Goodchild MF, Maguire DJ, Rhind DW (eds) Geographical information systems, chap 35. Wiley, New York, pp 493–502
Eastman JR, Jin W, Kyem PAK, Toledano J (1995) Raster procedures for multi-criteria/multi-objective decisions. Photogrammet Eng Remote Sens 61:539–547
EGPC/Conoco (1987) Photogeological interpretation map, scale (1: 100,000). CORALI, Cairo
EGSMA (1994) Geological map of Sinai, sheet no. 1, scale 1:250000, Geological Survey of Egypt, Cairo
Egyptian Meteorological Authority (2006) Climatic atlas of Egypt. Ministry of Transportation and Communications, Cairo
Elewa HH, Qaddah AA (2011) Groundwater potentiality in Sinai Peninsula, Egypt, using remote sensing and GIS-watershed-based modelling. Hydrogeol J 19:613–628. doi:10.1007/s10040-011-0703-8
Elmahdy SI (2012) Hydromorphological mapping and analysis for characterizing Darfur Paleolake, NW Sudan using remote sensing and GIS. Int J Geosci 3:25–36
El-Rayes AE (1992) Hydrogeologic assessment of St. Catherine area, South Sinai. 3rd Conf. Geology of Sinai for Development, Ismailia, Egypt, December 1992, pp 273–280
El-Rayes AE (2004) Use of lineament analyses and joint measurements as guides for drilling high yield water wells in the basement aquifer of south Sinai. JMPE 7(1):67–76
El-Rayes AE, Arnous MO, Aboulela HA (2015) Hydrogeochemical and seismological exploration for geothermal resources in South Sinai, Egypt utilizing GIS and remote sensing. Arab J Geosci 8:5631–5647. doi:10.1007/s12517-014-1667-5
El-Refaei AA (1992) Water resources of southern Sinai, Egypt. PhD Thesis, Cairo Univ., Cairo, Egypt, 357 pp
El-Sayed MH, Abo El-Fadl MM, Shawky HA (2012) Impact of hydrochemical processes on groundwater quality, Wadi Feiran, South Sinai, Egypt. Austr J Basic Appl Sci 6(3):638–654
El-Shazly MM, Mohamed SS, Abd-Alatif TA, Misak RF, Mabrouk MA (1985) Groundwater potential of St. Katherine Monastery environs, Sinai. Egypt J Geol 29(1–2):89–100
Ganapuram S, Kumar GTV, Krishna IVM, Ercan K, Demirel MC (2009) Mapping of groundwater potential zones in the Musi basin using remote sensing data and GIS. Advan Eng Soft 40(7):506–518
Ghodeif K (1995) Hydrogeological studies on the east St. Katherine environs, south central Sinai, Egypt. MSc Thesis, Suez Canal University, Ismailia, Egypt, 180 pp
Greenbaum D (1992) Structural influences on the occurrence of groundwater in SE Zimbabwe. In: Wright EP, Burgess WG (eds) Hydrogeology of crystalline basement aquifers in Africa. Geol Soc Spec Publ 66:77–85
Gustafsson P (1994) SPOT satellite data for exploration of fractured aquifers in a semi-arid area in southeastern Botswana. Appl Hydrogeol 2:9–18
Hosney HM (1991) Detailed seismic refraction and resistivity measurements around a dyke in St. Katherine area, southern Sinai, Egypt. Bull Fac Sci Ain Shams Univ 28B:491–512
Hung L, Batelaan O, De Smedt F (2005) Lineament extraction and analysis, comparison of LANDSAT ETM and ASTER imagery: case study—Suoimuoi tropical karst catchment, Vietnam. Remote Sensi Int Soc Optic Photon 59830T-59830T-12. In: SPIE Proceedings, vol 598, SPIE, Bellingham WA
Jain PK (1998) Remote sensing techniques to locate ground water potential zones in upper Urmil River basin, District Chatarpur-Central India. J Ind Soc Remote Sens 26(3):135–147
Jaiswal RK, Mukherjee S, Krishnamurthy J, Saxena R (2003) Role of remote sensing and GIS techniques for generation of groundwater prospect zones towards rural development: an approach. Int J Remote Sens 24:993–1008
Jenson SK, Domingue JO (1988) Extracting topographic structure from digital elevation model data for geographic information system analysis. Photogrammet Eng Remote Sens 54:1593–1600
Jordan G, Meijininger BMI, Van Hinsbergen DJJ, Meulenkamp JE, Van Dijk PM (2005) Extraction of morphotectonic features from DEM’s: development and applications for study areas in Hungary and NW Greece. Int J Appl Observ Geoinformat 7:163–182
Kamaraju MVV, Bhattacharya A, Reddy GS, Rao GC, Murthy GS, Rao TCM (1996) Ground-water potential evaluation of West Godavari District, Andhra Pradesh State, India: a GIS approach. Ground Water 34(2):318–325
Krishnamurthy JN, Venkatesa K, Jayaraman V, Manivel M (1996) An approach to demarcate ground water potential zones through remote sensing and geographical information system. Inter J Remote Sens 17:1867–1884
Kumar A, Tomar S, Prasad LB (1999) Analysis of fractured inferred from DBTM and remotely sensed data for groundwater development in Godavari sub-watershed, Giridih, Bihar. J Indian Soc Remote Sens 26(2):105–114
Kumar MG, Agarwal AK, Bali R (2008) Delineation of potential sites for water harvesting structures using remote sensing and GIS. J Indian Soc Remote Sens 36(4):323–334
Kuria DN, Gachari MK, Macharia MW, Mungai E (2012) Mapping groundwater potential in Kitui District, Kenya using geospatial technologies. Int J Water Resour Environment Eng 4(1):15–22
Mallick J, Chander Kumar Singh CK, Al-Wadi H, Ahmed M, Rahman A, Shashtri S, Mukherjee S (2015) Geospatial and geostatistical approach for groundwater potential zone delineation. Hydrol Proc 29(3):395–418
Mohamed L, Sultan M, Ahmed M, Zaki A, Sauck W, Soliman F, Yan E, Elkadiri R, Abouelmaged A (2015) Structural controls on groundwater flow in basement terrains: geophysical, remote sensing, and field investigations in Sinai. Surv Geophys. doi:10.1007/s10712-015-9331-5
Moneim AAA (2005) Overview of the geomorphological and hydrogeological characteristics of the Eastern Desert of Egypt. Hydrogeol J 13(2):416–425
Mukherjee S (1996) Targeting saline aquifer by remote sensing and geophysical methods in a part of Hamirpur–Kanpur, India. Hydrogeol J 19:53–64
Nag SK, Ghosh P (2013) Delineation of groundwater potential zone in Chhatna Block, Bankura District, West Bengal, India using remote sensing and GIS techniques. Environ Earth 70:2115–2127
Naghibi SA, Pourghasemi HR, Pourtaghi ZS, Rezaei A (2015) Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran. Earth Sci Inf 8(1):171–186
Nampak H, Pradhan B, Abd Manap M (2014) Application of GIS based data driven evidential belief function model to predict groundwater potential zonation. J Hydrol 513:283–300
Obi Reddy GP, Chandra MK, Srivastav SK, Srinivas CV, Maji AK (2000) Evaluation of groundwater potential zones using remote sensing data: a case study of Gaimukh watershed, Bhanadra District, Maharastra. J Indian Soc Remote Sens 28:19–32
Oh H, Kim Y, Choi J, Park E, Lee S (2011) GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea. J Hydrol 399:158–172
Pareta K, Pareta U (2011) Hydromorphogeological study of Karawan watershed using GIS and remote sensing techniques. E-Int Sci Res J III(4):243–268
Pothiraj P, Rajagopalan B (2013) A GIS and remote sensing based evaluation of groundwater potential zones in a hard rock terrain of Vaigai sub-basin, India. Arab J Geosci 6:2391–2407
Pradeep R (1998) Remote sensing techniques to locate groundwater potential zones in upper Urmil River Basin, Distract Chhatarpur, central India. J Indian Soc Remote Sens 26(3):135–147
Prasad RK, Mondal NC, Banerjee P, Nandakumar MV, Singh VS (2008) Deciphering potential groundwater zone in hard rock through the application of GIS. Environ Geol 55:467–475
Rao PJ, Harikrishna P, Srivastav SK, Satyanarayana PVV, Rao BBD (2009) Selection of groundwater potential zones in and around Madhurwada Dome, Visakhapatnam District: a GIS approach. J Indian Geophys Union 13(4):191–200
Ravindran KV, Jeyram A (1997) Ground water prospects of Shahbad Teshil, Baran District, eastern Rajasthan: a remote sensing approach. J Indian Soc Remote Sens 25(4):239–246
Saha D, Dhar YR, Vittala SS (2010) Delineation of groundwater development potential zones in parts of marginal Ganga Alluvial Plain in South Bihar, eastern India. Environ Monit Assess 165:179–191
Saraf AK, Choudhary ER (1998) Integrated remote sensing and GIS for ground water exploration and identification of artificial recharge sites. Inter J Remote Sens 19(10):1825–1841
Sener E, Davraz A, Ozcelik M (2005) An integration of GIS and remote sensing in groundwater investigations: a case study in Burdur, Turkey. Hydrogeol J 13(5–6):826–834
Shahid S, Nath SK, Roy J (2000) Groundwater potential modelling in a soft rock area using a GIS. Int J Remote Sens 21(9):1919–1924
Sheffield C (1985) Selecting band combinations from multispectral data. Photogrammetric Eng Remote Sens 51(6):681–687
Shendi EH (1989) New approach for locating promising water well sites in Saint Katherine and surroundings, South Sinai. In: Proc. 2nd Conf. Geol. Sinai Develop., Suez Canal Univ., Ismailia, Egypt, 1989, pp 97–102
Shendi EH (1992) The role of El-Agramia plain in the development of Saint Catherine area, South Sinai. In: Proc. 3rd Conf. Geol. Sinai Develop., Suez Canal Univ., Ismailia, Egypt, December 1992, pp 55–62
Shendi EH, Abou El-Magd A (2004) A new approach for ground geophysics in the development of groundwater in the basement terrains: a case study from Wadi Feiran, South Sinai, Egypt. Proc. 7th Conf. Geol. Sinai Develop., Ismailia, Egypt, 2004, pp 129–140
Shendi EH, El-Rayes A (1992) Geophysical prospecting for groundwater in Wadi Sibaiya-Wadi El-Sheikh area, south Sinai. M.E.R.C. Ain Shams Univ Earth Sci Ser 6:55–61
Sikdar PK, Chakraborty S, Adhya E, Paul PK (2004) Land use/land cover changes and groundwater potential zoning in and around Raniganj coal mining area, Bardhaman District, West Bengal: a GIS and remote sensing approach. J Spatial Hydrol 4(2):1–24
Singh AK, Prakash SR (2003) An integrated approach of remote sensing, geophysics and GIS to evaluation of groundwater potentiality of Ojhala subwatershed Mirzapur district, UP, India. Presented at Map India Conference, New Delhi, 26–31 Jan. 2003
Solomon S, Quiel F (2006) Groundwater study using remote sensing and geographic information systems (GIS) in the central highlands of Eritrea. Hydrogeol J 14:729–741
Soulakellis N, Novak I, Zouros N, Lowman P, Yates J (2006) Fusing Landsat-5/TM imagery and shaded relief maps in tectonic and geomorphic mapping: Lesvos Island, Greece. Photogrammet Eng Remote Sens 6:693–700
Srinivasa RY, Jugran KD (2003) Delineation of groundwater potential zones and zones of groundwater quality suitable for domestic purposes using remote sensing and GIS. Hydro Sci J 48:821–833
Subba RN (2006) Groundwater potential index in a crystalline terrain using remote sensing data. Environ Geol 50(7):1067–1076
Surabuddin MM, Pandey AC, Garg RD (2007) Groundwater prospects evaluation based on hydrogeomorphological mapping using high resolution satellite images: a case study in Uttarakhand. J Indian Soc Remote Sens 36:69–76
Todd KD (1980) Ground water hydrology, 2nd edn. Wiley, New York
Verstappen HT (1977) Remote sensing in geomorphology. Elsevier, New York
Wachs D, Arad A, Olshina A (1979) Locating groundwater in the Santa Catherina area using geophysical methods. Ground Water 17(3):258–263
Youssef AM, Pradhan B, Hassan AM (2011) Flash flood risk estimation along the St. Katherine Road, southern Sinai, Egypt using GIS based morphometry and satellite imagery. Environ Earth Sci 62:611–623. doi:10.1007/s12665-010-0551-1
Acknowledgements
The author wishes to express his appreciation and gratitude to Prof. Ahmed E. El-Rayes, Geology Department, Faculty of Science, Suez Canal University, Egypt, for his constructive criticism on an earlier draft of the manuscript and his fruitful discussions. The author thanks reviewers Timothy Evans, Graham Jenke and the editor of Hydrogeology Journal for giving constructive comments that also helped improve the manuscript.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Arnous, M.O. Groundwater potentiality mapping of hard-rock terrain in arid regions using geospatial modelling: example from Wadi Feiran basin, South Sinai, Egypt. Hydrogeol J 24, 1375–1392 (2016). https://doi.org/10.1007/s10040-016-1417-8
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10040-016-1417-8