Journals / Teknik Dergi / 2017 / Cilt: 28 - Sayı: 1

Determination of Spatial Distribution of Precipitation on Poorly Gauged Coastal Regions: Eastern Black Sea Region

Ölçümleri Az Olan Kıyı Bölgelerinde Yağışın Yerel Dağılımının Belirlenmesi: Doğu Karadeniz Bölgesi

Pages
0–0
Publication Date
2017-01-01
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The other one depends on the regression equations which explains the precipitation variability on coastline and valleys, for the coastal part of the Eastern Black Sea Region.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Determination of spatial distribution of precipitation has an importance in terms of hydrological applications and water resources assessment.
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Key Findings & Data:Particularly, the effects of orography and coastline on precipitation distribution should be taken into account in mountainous and/or coastal regions.
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Conclusion & Impact:The other one depends on the regression equations which explains the precipitation variability on coastline and valleys, for the coastal part of the Eastern Black Sea Region.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Yağış dağılımı · Doğu Karadeniz Bölgesi · eşyağış haritası

Abstract

Determination of spatial distribution of precipitation has an importance in terms of hydrological applications and water resources assessment. Particularly, the effects of orography and coastline on precipitation distribution should be taken into account in mountainous and/or coastal regions. This necessity is complicated by the limited number of rain gauges which have also a nonhomogenous distribution. In this study, it is aimed to determine the spatial distribution of precipitation for the coastal part of the Eastern Black Sea Region. It can be said that this study is the first in terms of combination of precipitation distribution on both hillside and coastal part by using two different approaches. One of these approaches is the water balance that reflects the precipitation distribution on hillside. The other one depends on the regression equations which explains the precipitation variability on coastline and valleys, for the coastal part of the Eastern Black Sea Region.

Özet

Yağışın alandaki dağılımının belirlenmesi, hidrolojik uygulamaların ve su kaynaklarının doğru değerlendirilmesi açısından büyük önem taşır. Özellikle dağlık ve/veya kıyı bölgelerde hem orografiyi hem de kıyı etkilerini yağışın dağılımını belirlemede hesaba katmak gerekebilir. Bu gerekliliği, dağlık bölgelerde yağış gözlem istasyonlarının az ve düzensiz olması zorlaştırır. Bu çalışmada da, orografik yağış özelliği gösterdiği bilinen ve sınırlı sayıda yağış gözlem istasyonuna sahip Doğu Karadeniz Bölgesinin kıyı kesimi için yağış dağılımının belirlenmesi amaçlanmıştır. Çalışma, Doğu Karadeniz Bölgesinin kıyı kesimine ait yamaçlardaki yağış dağılımının temsilinde su dengesinin, kıyı ve vadilerdeki yağış dağılımının temsilinde ise regresyon denklemlerinin birleştirilerek kullanılması açısından bir ilktir.

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Cite This Article

ERİŞ, E., AĞIRALİOĞLU, N. (2017). Determination of Spatial Distribution of Precipitation on Poorly Gauged Coastal Regions: Eastern Black Sea Region. Teknik Dergi, Cilt: 28 - Sayı: 1, 0–0. https://ajindex.com/articles/51301

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References (14)

  1. Daly C., Neilson R.P. ve Phillips D.L., A statistical-topographic model for mapping climatological precipitation over mountainous terrain, Journal of Applied Meteorology, 33, 2, 140–158, 1994.
  2. Tabios III, G.Q. ve Salas, J.D., A comparative analysis of techniques for spatial interpolation of precipitation, Water Resources Bulletin, 21, 3, 265–380, 1985.
  3. Pardo-Iguzquiza, E., Comparison of geostatistical methods for estimating the areal average climatological rainfall mean using data on precipitation and topography, International Journal of Climatology, 18, 1031-104, 1998.
  4. Hevesi, J.A., Istok, J.D. ve Flint, A.L., Precipitation estimation in mountainous terrain using multivariate geostatistics, Part I: structural analysis, Journal of Applied Meteorology, 31, 661–676, 1992a.
  5. Hevesi, J.A., Istok, J.D. ve Flint, A.L, Precipitation estimation in mountainous terrain using multivariate geostatistics. Part II: isohyetal maps, Journal of Applied Meteorology, 31, 677–688, 1992b.
  6. Dirks K.N., Hay J.E., Stow C.D. ve Harris, D., High-resolution studies of rainfall on Norfolk Island, Part II: interpolation of rainfall data, Journal of Hydrology, 208, 3–4, 187–193, 1998.
  7. Goovaerts, P., Geostatistical approaches for incorporating elevation into the spatial interpolation of rainfall, Journal of Hydrology, 228, 113–129, 2000.
  8. Lloyd, C. D., Assessing the effect of integrating elevation data into the estimation of monthly precipitation in Great Britain, Journal of Hydrology, 308, 128-150, 2005.
  9. Basistha A., Arya D.S. ve Goel, N.K., Spatial distribution of rainfall in Indian Himalayas-A case study of Uttarakhand region, Water Resources Management, 22, 1325-1346, 2008.
  10. Hastenrath, S. L., Rainfall distribution and regime in Central America, Theoretical and Applied Climatology, 15, 3, 201-241, 1967.
  11. Park, J.I. ve Singh, V.P., Temporal and spatial characteristics of rainfall in the Nam River dam basin of Korea, Hydrological Processes, 10, 1155-1171, 1996.
  12. Baker, D.R., Lynn, B.H., Boone, A., Tao, W.K. ve Simpson, J., The influence of soil moisture, coastline curvature, and land-breeze circulations on sea-breeze-initiated precipitation, Journal of Hydrometeorology, 2, 2, 193–21, 2001.
  13. Marquinez, J., Lastra, J. ve Garcia, P., Estimation models for precipitation in mountainous regions: the use of GIS and multivariate analysis, Journal of Hydrology, 270, 1–11, 2003.
  14. Naoum, S. ve Tsanis, I. K., Orographic precipitation modeling with multiple linear regression, Journal of Hydrologic Enginee