Analysis of the Statistical Relationships Between Streamflow-Temperature and Streamflow-Precipitation Based on Daily Data in the Meriç River Basin

Cemil İrdem

Article Details

Analysis of the Statistical Relationships Between Streamflow-Temperature and Streamflow-Precipitation Based on Daily Data in the Meriç River Basin

Authors:

Cemil İrdem

Publisher:

Karabuk University

Main Topics:

Bölgesel Çalışmalar

Journal:

Avrasya Beşeri Bilim Araştırmaları Dergisi Vol.4 Issue 2, pp.1-14

Document Type:

Article

Publication Date:

12/2024

Document Language:

Turkish

Document ID (Org No.):

2001335361

pISSN:

2791-9900

Keywords:

Abstract:

 In this study, the statistical relationships between the daily streamflow data from the Kirişhane observation station, located on the Meriç River, and the daily average temperature and total daily precipitation data from the Edirne Meteorology station for the period 1988-2022 were examined. Initially, correlation coefficients were calculated between the daily average temperatures, daily total precipitation, and daily average streamflow values. The significance levels of the correlation coefficients were evaluated bidirectionally within a 95 confidence interval. Based on the correlation analysis, the direction and strength of the relationship between daily average temperatures, daily total precipitation, and daily streamflow were determined. To assess the predictive capability of temperature and precipitation on streamflow changes, simple linear regression analysis was performed for the years with the strongest relationships. The results revealed that the connection between daily average temperatures and streamflow was stronger than the relationship between daily total precipitation and streamflow. The highest correlation for temperature-streamflow occurred in March, while the weakest was in July. Correlation coefficients were negative for all months. On the other hand, precipitation-streamflow relationships consistently showed positive values across all months, based on the long-term average of the Meriç River. December exhibited the strongest correlation between precipitation and streamflow, while May had the weakest.

 In this study, the statistical relationships between the daily streamflow data from the Kirişhane observation station, located on the Meriç River, and the daily average temperature and total daily precipitation data from the Edirne Meteorology station for the period 1988-2022 were examined. Initially, correlation coefficients were calculated between the daily average temperatures, daily total precipitation, and daily average streamflow values. The significance levels of the correlation coefficients were evaluated bidirectionally within a 95 confidence interval. Based on the correlation analysis, the direction and strength of the relationship between daily average temperatures, daily total precipitation, and daily streamflow were determined. To assess the predictive capability of temperature and precipitation on streamflow changes, simple linear regression analysis was performed for the years with the strongest relationships. The results revealed that the connection between daily average temperatures and streamflow was stronger than the relationship between daily total precipitation and streamflow. The highest correlation for temperature-streamflow occurred in March, while the weakest was in July. Correlation coefficients were negative for all months. On the other hand, precipitation-streamflow relationships consistently showed positive values across all months, based on the long-term average of the Meriç River. December exhibited the strongest correlation between precipitation and streamflow, while May had the weakest.

 In this study, the statistical relationships between the daily streamflow data from the Kirişhane observation station, located on the Meriç River, and the daily average temperature and total daily precipitation data from the Edirne Meteorology station for the period 1988-2022 were examined. Initially, correlation coefficients were calculated between the daily average temperatures, daily total precipitation, and daily average streamflow values. The significance levels of the correlation coefficients were evaluated bidirectionally within a 95 confidence interval. Based on the correlation analysis, the direction and strength of the relationship between daily average temperatures, daily total precipitation, and daily streamflow were determined. To assess the predictive capability of temperature and precipitation on streamflow changes, simple linear regression analysis was performed for the years with the strongest relationships. The results revealed that the connection between daily average temperatures and streamflow was stronger than the relationship between daily total precipitation and streamflow. The highest correlation for temperature-streamflow occurred in March, while the weakest was in July. Correlation coefficients were negative for all months. On the other hand, precipitation-streamflow relationships consistently showed positive values across all months, based on the long-term average of the Meriç River. December exhibited the strongest correlation between precipitation and streamflow, while May had the weakest.

 Bu Çalışmada 1988-2022 döneminde Meriç Nehri üzerinde kurulu Kirişhane akım gözlem istasyonunun günlük akım verileri ile Edirne Meteoroloji istasyonunun günlük ortalama sıcaklık ve günlük toplam yağış verileri arasındaki istatistik ilişkiler belirlenmiştir. Yöntem olarak öncelikle günlük ortalama sıcaklıklar ve günlük toplam yağışlarla, günlük ortalama akım verileri arasındaki korelasyon katsayıları hesaplanmıştır. Elde edilen korelasyon katsayılarının  95 güven aralığında anlamlılık düzeyleri çift yönlü olarak değerlendirilmiştir. Korelasyon analizi sonucunda günlük ortalama sıcaklıklar ve günlük toplam yağışlarla günlük ortalama akım değerleri arasındaki ilişkinin yönü ve büyüklüğü belirlenmiş olup, ilişkinin en güçlü olduğu yıllarda sıcaklık ve yağışın akımdaki değişimi yordama gücünü ortaya koymak için basit doğrusal regresyon analizi yapılmıştır. Elde edilen sonuçlara göre Meriç Nehrinde günlük ortalama sıcaklıklarla günlük ortalama akarsu akımı ilişkileri, günlük toplam yağışlarla günlük ortalama akarsu akımı ilişkilerinden daha güçlüdür. Sıcaklık-akım ilişkilerinde en güçlü korelasyon mart ayında, en zayıf korelasyon ise temmuz ayındadır. İlişki katsayıları tüm aylarda negatiftir. Yağış akım ilişkileri Meriç Nehrinde uzun yıllar ortalamasına göre tüm aylarda pozitif değerler göstermektedir. Yağış akım ilişkilerinin en güçlü olduğu ay aralık, en zayıf olduğu ay ise mayıstır.

Article Details

Analysis of the Statistical Relationships Between Streamflow-Temperature and Streamflow-Precipitation Based on Daily Data in the Meriç River Basin

Authors:

Cemil İrdem

Publisher:

Karabuk University

Main Topics:

Bölgesel Çalışmalar

Journal:

Avrasya Beşeri Bilim Araştırmaları Dergisi Vol.4 Issue 2, pp.1-14

Document Type:

Article

Publication Date:

12/2024

Document Language:

Turkish

Document ID (Org No.):

2001335361

pISSN:

2791-9900

Meriç River

stream flow

average temperature

total precipitationMeriç Nehri

akarsu akımı

ortalama sıcaklık

toplam yağış

Issues

Article Details

Authors: Cemil İrdem

Publisher: Karabuk University

Main Topics: Bölgesel Çalışmalar

Journal: Avrasya Beşeri Bilim Araştırmaları Dergisi Vol.4 Issue 2, pp.1-14

Document Type: Article

Publication Date: 12/2024

Document Language: Turkish

Document ID (Org No.): 2001335361

pISSN: 2791-9900

Issues

Authors:

Cemil İrdem

Publisher:

Karabuk University

Main Topics:

Bölgesel Çalışmalar

Journal:

Avrasya Beşeri Bilim Araştırmaları Dergisi Vol.4 Issue 2, pp.1-14

Document Type:

Article

Publication Date:

12/2024

Document Language:

Turkish

Document ID (Org No.):

2001335361

pISSN:

2791-9900