Trend Analysis of Hydrological Drought for Selected Rivers in Iraq

Hasan, Ihsan F.; Saeed, Younis Najib

doi:10.25130/tjes.27.1.07

Cited by 8 publications

(5 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Greater Zab and Lesser Zab rivers are two main tributaries of the Tigris river in Iraq, as shown in Figure 1. Geographically, the two river basins are located between latitudes of 35° 21' N to 38° 06' N and longitudes of 43° 25' E to 46° 03' E (Hasan and Saeed, 2020). Greater Zab river catchment area covers about 26750 km 2 and the mainstream river length is approximately 370 km, joining the Tigris river south of Mosul city.…”

Section: Study Area and Collected Datamentioning

confidence: 99%

“…Four marginal distributions are proposed to fit drought severity and drought duration, which are: exponential, gamma, lognormal and Weibull distributions. The proposed probability distributions are widely used in hydrology (Wu et al, 2015;Hu et al, 2020;Hasan, 2020). The maximum-likelihood method is utilized to calculate the parameters of the marginal distribution.…”

Section: Concept Of Copulamentioning

confidence: 99%

See 1 more Smart Citation

Bivariate Frequency Analysis of Hydrological Drought Using Copula: A Case Study of Northern Iraq

Hasan¹,

Abdullah²,

Awchi³

et al. 2023

JJCE

View full text Add to dashboard Cite

In this research work, copula-based methodology is adopted to analyze the hydrological drought frequency. Standardized Runoff Index SRI was calculated using monthly-streamflow data for 50 years of two gauging stations in the northern region of Iraq. The drought duration and severity were extracted using run theory. Three Archimedean family and Gaussian copulas were used and compared to select the most appropriate copula model for bivariate frequency analysis of hydrological-drought characteristics. The dependence between drought duration and drought severity was estimated by Pearson's, Spearman's rho and Kendall's tau correlations. Various probability distributions were utilized to determine the best fit marginal distributions for drought characteristic variables based on the Kolmogorov-Smirnov and Chi-squared statistics. Uni-variate and joint return periods were estimated and compared. Generally, the results indicate that Archimedean copulas performed better than the Gaussian copulas. Exponential and Weibull distributions are the best fit for drought duration and severity, respectively, except for drought severity in case of the 9-month time scale at Lesser Zab region, where lognormal distribution was chosen. The current study can give helpful information for drought-risk assessment and water-resource management under climate change. KEYWORDS: Hydrological drought, Copula, SRI, Greater Zab river, Lesser Zab river, Bivariate return periods.

show abstract

Section: Study Area and Collected Datamentioning

confidence: 99%

Section: Concept Of Copulamentioning

confidence: 99%

Bivariate Frequency Analysis of Hydrological Drought Using Copula: A Case Study of Northern Iraq

Hasan¹,

Abdullah²,

Awchi³

et al. 2023

JJCE

View full text Add to dashboard Cite

show abstract

“…In arid and semi-arid regions flood frequency analysis is encountering data and information shortage issues. Especially, in these regions, the reliable estimate is not possible due to short records [3]. Arid and semi-arid climatic condition covers more than 75% of Iran where despite the low annual precipitation, large floods occur sometimes.…”

Section: Introductionmentioning

confidence: 99%

Regional Flood Frequency Analysis of Northern Iran

Adhami

2024

DEUFMD

View full text Add to dashboard Cite

The combination of the L-moment approach and multiple regression offers an attractive solution to provide flood estimation at ungauged sites within the Gorganrood and Ghare-sou river basins in the north of Iran. This research has two main goals including regionalization by cluster analysis and regional estimation of flood quantile at the site of interest. After data analysis regarding climatic and hydrologic data series, hierarchical approach was carried out to identify homogeneous regions. The homogeneity test was done by H-Statistic, a testing method based on L-moments. The results showed that a subdivision of selected watersheds into homogenous groups is necessary; therefore, two homogenous regions were formed. In the present study, five three-parameter distributions were fitted to the homogeneous regions and the best-fit one was identified using the L-moments approach. The results of the goodness-of-fit analysis for the two regions introduced the Generalized Pareto (GPA) distribution for both regions as acceptably close fits to the regional average L-moments. Besides, multiple regression was applied to diagnose the effective independent parameters on discharge value. The results reported percent of permeable formations, average annual precipitation, and stream slope as the most effective variables.

show abstract

“…In hydrological studies, it has been used to analyze trends in streamflow and runoff (Ramadan et al, 2012;Peng et al, 2019). The method has also been used in drought assessment and trend analysis (Nury and Hasan, 2016;Hasan and Saeed, 2020;Obateru et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Trend Analysis of Climatic Parameters Using Geographical Information Systems: A Case Study of Sivas Province (1982-2021)

YILMAZ,

BİRDAL

2024

Preprint

View full text Add to dashboard Cite

Climate change has become a significant concern globally, and understanding regional patterns and trends is crucial for effective mitigation and adaptation strategies. This article presents a comprehensive Mann-Kendall trend and Sen’s slope estimator test conducted to examine the long-term trends in surface temperature, 2-meter above temperature, and precipitation in Sivas Province, Turkey. Utilizing a dataset spanning several decades, Mann-Kendall and Sen’s slope estimator tests were applied to assess the presence of statistically significant trends in the selected climatic parameters. Additionally, Remote Sensing (RS) and Geographical Information Systems (GIS) were incorporated as supplementary and validation data sources to enhance the accuracy and reliability of our analysis. Furthermore, GIS techniques facilitated the integration of diverse geospatial data layers, including land cover, offering valuable insights into the complex interactions between climate variables and the environment. The combined analysis of MK trends, SS test and RS/GIS data yielded a robust understanding of the changing climate dynamics in Sivas Province. Our findings not only contribute to the growing body of knowledge on regional climate change but also underscore the importance of utilizing advanced technologies like RS and GIS for accurate trend analysis and informed decision-making. This study highlights the potential of these supplementary data sources in enhancing our understanding of climate trends and supports the development of climate change adaptation strategies.

show abstract

Trend Analysis of Hydrological Drought for Selected Rivers in Iraq

Cited by 8 publications

References 19 publications

Bivariate Frequency Analysis of Hydrological Drought Using Copula: A Case Study of Northern Iraq

Bivariate Frequency Analysis of Hydrological Drought Using Copula: A Case Study of Northern Iraq

Regional Flood Frequency Analysis of Northern Iran

Trend Analysis of Climatic Parameters Using Geographical Information Systems: A Case Study of Sivas Province (1982-2021)

Contact Info

Product

Resources

About