Drought Analysis in East Nusa Tenggara (Indonesia) Using Regional Frequency Analysis

Kuswanto, Heri; Puspa, Anggi Wahyu; Ahmad, Imam Safawi; Hibatullah, Fausania

doi:10.1155/2021/6626102

Cited by 7 publications

(4 citation statements)

References 26 publications

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“…Conventionally, uni-variate return periods are determined by fitting a marginal distribution function to hydrologic data series, such as extreme hydrologic events including annual maximum discharge and drought-event variables Zheng, 2016, Chen and. Several probability distribution functions have been used by many researchers to analyze uni-variate return periods for extreme hydrological events (Du et al, 2015;Kuswanto et al, 2021).…”

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

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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.

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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

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“…Several methods have been developed and implemented in Indonesia for forecasting and early warning purposes. For example, Tallar and Dhian [192] employed the Drought Vulnerability Index (DVI); the Standardized Runoff Index (SRI) was used by Auliyani et al [193], Primadita et al [194] utilized the Drought Vulnerability Level the with rainfall, evapotranspiration, geology, landform, and water source parameters; a regional frequency analysis was used by Kuswanto et al [195]; and spatial and temporal analyses were used by Bashit et al [196]. The outputs from drought forecasting have been employed for early drought warning systems.…”

Section: Water Use Managementmentioning

confidence: 99%

Sustainable Management for Healthy and Productive Watersheds in Indonesia

Supangat,

Basuki,

Indrajaya

et al. 2023

Land

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Indonesian watershed management continues to struggle with various problems caused by natural disasters, particularly hydrometeorological disasters, which are worsened by the effects of climate change. Coordinating and synchronizing the interest of many parties in watershed management with various scenarios of natural conditions is a big challenge in the creation of a healthy and productive watershed. Multiple initiatives have been undertaken, from establishing rules and policies to implementing them and assessing the effects, leading to various lessons being learned for better management. This article presents a study on watershed management in Indonesia and recommends alternative improvements toward healthy and productive watershed management. A combination of a descriptive qualitative analysis of the authors’ experience in various research activities and a critical analysis is used to examine existing conditions and to formulate recommendations for better sustainable management toward a healthy and productive watershed. Most Indonesian watersheds are susceptible to degradation due to numerous threats. The challenges in Indonesian watershed management, including land degradation and climate-induced disasters, lack of synchronization and coordination, limited resources, and anthropogenic factors, have led to decreased watershed health and productivity and hindered effective management. Integrated management, especially at the micro-watershed level, addresses these challenges. Successful integrated watershed management requires community involvement, appropriate management action for specific locations, technological support, regulatory alignment, and stakeholder collaboration to ensure a healthy, productive, and sustainable watershed for present and future generations.

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“…More recently, hydrology researchers have focused on the L-moment approach and it is increasingly used in regional frequency analysis of flood (Meshgi and Khalili 2009a, b;Bhuyan et al 2010;Gheidari 2013;Rahman et al 2014;Rutkowska et al 2017;Igor Leščešen et al 2019;Lee and Kim 2019;Mohamad Hamzah et al 2019;Kohnová et al 2020), precipitation (Haddad et al 2011;Modarres and Sarhadi 2011;Chen and Hong 2012;Sarmadi and Shokoohi 2015;Zakaria et al 2018;Gocic et al 2021), extreme precipitation (Modarres and Modarres 2009;Abolverdi and Khalili 2010;Deka et al 2011;Zakaria and Shabri 2013;Malekinezhad and Zare-Garizi 2014;Yin et al 2016;Bora et al 2017;Zhou et al 2017;Journal 2017;Liang et al 2017;Hu et al 2019;Ibrahim 2019), air temperature (Sarmadi and Azmi 2016), and drought (Eslamian et al 2011;Zhang et al 2015;Tosunoglu and Can 2016;Adib and Marashi 2019;Ullah et al 2020;Kuswanto et al 2021;Adib et al 2021).…”

Section: Introductionmentioning

confidence: 99%

An inovative regional frequency analysis approach for robust extreme precipitation assessment in data-rich and climatically diverse regions

Mahbod,

Ebrahimiat,

Mahmoodi-Eshkaftaki

et al. 2024

Preprint

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This study addresses regional frequency analysis (RFA) uncertainties caused by difficulties in identifying homogeneous subregions and choosing the best regional frequency distributions. The study modifies Hosking and Wallis (1997)'s approach to improve regionalization, especially in regions with many gauge stations. The proposed method uses 512 Iranian gauges to identify three primary regions based on annual precipitation patterns. Examining data uniformity, regional variations, frequency distributions, and quantiles for exceptional events are crucial. L-moments are important in the analysis because they estimate distribution parameters and help evaluate heterogeneity and choose distributions. The study emphasizes the importance of considering distributional characteristics beyond the mean to ensure homogeneous clusters. The findings indicate that annual precipitation patterns in Iran are spatially heterogeneous. Despite challenges, the proposed regionalization approach finds homogeneous regions that can be represented by fitted distributions. The approach's ability to accommodate spatial intricacies and tailor analysis to specific climates is shown by disaggregated area fit assessments. Thus, the study illuminates Iran's hydrological conditions-specific RFA methodology. This improves extreme precipitation estimates and aids water resource management and strategic planning. The methodology can meet different user needs and be implemented in comparable regions worldwide.

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Drought Analysis in East Nusa Tenggara (Indonesia) Using Regional Frequency Analysis

Cited by 7 publications

References 26 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

Sustainable Management for Healthy and Productive Watersheds in Indonesia

An inovative regional frequency analysis approach for robust extreme precipitation assessment in data-rich and climatically diverse regions

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