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Journals / İTÜ Dergisi Seri D: Mühendislik / 2003 / Cilt: 2 - Sayı: 1

Semivariogram model for Jordan precipitation

Ürdün yağışlarının yarıvaryogram modeli

Qassem TARAWNEH
Zekai ŞEN
Pages
80–90
Publication Date
2022-10-19
DOI
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AI Summary & Key Takeaways

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

The regional correlations are expressed in terms of slope angle, where large values explain weak regional correlations and vice versa.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Jordan is facing various water problems accompanied by rapid population growth.
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Key Findings & Data:The result of cross validation method is acceptable in all samples with relative error not exceeding 14 %, in the worst sample except in the desertic sides where larger errors explain the weak regional dependence.
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Conclusion & Impact:The regional correlations are expressed in terms of slope angle, where large values explain weak regional correlations and vice versa.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Jordan is facing various water problems accompanied by rapid population growth. It is very important for Jordan to have enlightening researches and decision-making procedures by giving a new sight on the rainfall as the main water resource in Jordan. In this study, the semivariogram samples are analysed in order to adopt the regional dependence of the precipitation phenomenon. Amman station is taken as a pivot site due to its location in the centre of the Kingdom, where the samples of the semivariogram are calculated for eight directions namely. N, NE, E,...etc. The radiuses of rainfall influence are determined for Amman in each direction. It is observed that the rainfall may be considered as a homogeneous phenomenon in all except along desertic directions, which are NE, E, and SE. The cross validation methods are used to estimate the rainfall in Amman site using different samples representing all directions. The result of cross validation method is acceptable in all samples with relative error not exceeding 14 %, in the worst sample except in the desertic sides where larger errors explain the weak regional dependence. The regional correlations are expressed in terms of slope angle, where large values explain weak regional correlations and vice versa.

Özet

Bu çalışmada yağışın bölgesel bağımlılığını göstermek üzere yarıvaryogram analizi ele alındı ve bölgesel korelasyonlar yarıvaryogramlar kullanılarak açıklandı. Konumu nedeniyle referans bölge olarak alınan Amman istasyonundaki yarıvaryogram örnekleri sekiz yön için hesaplanmış, herbir yöne ait yağış etkisinin yarıçapı belirlenmiştir. Amman bölgesindeki yağış miktarı ağırlığı ortalama kullanılarak tahmin edildi. En kötü örnekte %14 'ü aşmayan kabul edilebilir bağıl hata bulundu. Yalnız çöle ait kısımlar bunun dışındadır. Burada daha büyük hata oranlan bölgesel bağımlılığın zayıf olduğunu göstermektedir. Bölgesel korelasyonlar eğim açısı z cinsinden ifade edilmiştir. Burada z açısının büyük değerleri bölgesel korelasyonun zayıflığını gösterir.

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Cite This Article

TARAWNEH, Q., ŞEN, Z. (2022). Semivariogram model for Jordan precipitation. İTÜ Dergisi Seri D: Mühendislik, Cilt: 2 - Sayı: 1, 80–90. https://ajindex.com/articles/557393

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