Estimating distribution parameters of extreme hydrometeorological characteristics by L-moments method

Gubareva, T. S.; Гарцман, Б. И.

doi:10.1134/s0097807810040020

Cited by 52 publications

(26 citation statements)

References 5 publications

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“…The presence of preferential flow paths (PFP) affects soil water redistribution and results in quick catchment stormflow response and rapid transport of pollutants through the vadose zone (Alaoui et al, 2011;Sidle et al, 2000). Field investigations and modeling of water and tracer movement are important in studying numerous hydrological problems, including water resource contamination (Gödeke et al, 2006;Sudicky and Illman, 2011;Zheng et al, 2011), flood mitigation (Baker, 1987;Gubareva and Gartsman, 2010;Wood et al, 1990), and landslide initiation due to excess pore pressure generation (Iverson, 2000;Wilson et al, 2012). Usually the influence of PFP on mass transfer is determined experimentally by measuring water or tracer outflow from soil columns, lysimeters or in natural catchments (Everts and Kanwar, 1989;Ghodrati and Jury, 1992;Kung et al, 2000;Mallants et al, 1996;Tsuboyama et al, 1994;Vanderborght et al, 2000).…”

Section: Introductionmentioning

confidence: 99%

Criteria for selecting fluorescent dye tracers for soil hydrological applications using Uranine as an example

Gerke¹,

Sidle²,

Mallants³

2013

Journal of Hydrology and Hydromechanics

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Calibrating and verifying 2-D and 3-D vadose zone flow and transport models requires detailed information on water and solute redistribution. Among the different water flow and mass transfer determination methods, staining tracers have the best spatial resolution allowing visualization and quantification of fluid flow including preferential flow paths. Staining techniques have been used successfully for several decades; however, the hydrological community is still searching for an "ideal" vadose zone tracer regarding flow path visualization. To date, most research using staining dyes is carried out with Brilliant Blue FCF. Fluorescent dyes such as Uranine, however, have significant advantages over nonfluorescents which makes them a promising alternative. This paper presents the first analysis of key properties any fluorescent substance must possess to qualify as a staining fluorescent tracer in vadose zone hydrological applications. First, we summarize the main physico-chemical properties of Uranine and evaluate its staining tracer potential with conventional suitability indicators and visibility testing in a soil profile. Based on numerical analysis using the theory of fluorescence, we show that a low molar absorption coefficient is a crucial parameter to quantify concentration accurately. In addition, excitation of a tracer on wavelengths different from the maximum excitation wavelength can extend the linear range of the concentration-fluorescence relationship significantly. Finally, we develop criteria for evaluating the suitability of any potential fluorescent soil staining compound for soil hydrological applications: 1) high quantum yield, 2) low molar absorption coefficient, 3) fluorescence independent of temperature, 4) low photodecomposition rates, and 5) fluorescence stable across a wide range of pH values.

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Section: Introductionmentioning

confidence: 99%

Criteria for selecting fluorescent dye tracers for soil hydrological applications using Uranine as an example

Gerke¹,

Sidle²,

Mallants³

2013

Journal of Hydrology and Hydromechanics

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“…This function corresponds to a Frechet, Gumbel or Weibull function depending on the value of a parameter included in the GEV function. We have applied an L-Moments method [53] in order to obtain the optimized parameters of the GEV function.…”

Section: Resultsmentioning

confidence: 99%

Assessment of Climate Change in Nicaragua: Analysis of Precipitation and Temperature by Dynamical Downscaling over a 30-Year Horizon

Solé¹,

Arasa²,

Picanyol³

et al. 2016

ACS

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The present study has generated and analyzed Climate Change projections in Nicaragua for the period 2010-2040. The obtained results are to be used for evaluating and planning more resilient transport infrastructures in the next decades. This study has focused its efforts to pay attention into the effect of Climate Change on precipitation and temperature from a mean and extreme event perspective. Dynamical Downscaling approach on a 4 km resolution grid has been chosen as the most appropriate methodology for the estimation of the projected climate, being able to account for local-scale factors like complex topography or local land uses properly. We selected MPI-ESM-MR as the global climate model with the best skill scores in terms of precipitation and temperature in Nicaragua. MPI-ESM-MR was coupled to a mesoscale model. We chose WRF mesoescale model as the most appropriate regional model and we optimized their physical and dynamical options in order to minimize the model uncertainty in Nicaragua. For this, model output against the available in-situ measurements from the national meteorological station network and satellite data were compared. Climate 446served. Moreover, an increment between 5% and 10% of the number of days without precipitation is expected. Finally, Intensity-Duration-Frequency (IDF) projected curves show an increment of the rainfall intensity and an increment of extreme precipitation event frequency, especially in the Caribbean basin.

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“…L-momen adalah fungsi linier tertentu dari nilai statistik yang diharapkan, pertama sekali diperkenalkan oleh Sillitto pada tahun 1951 (Hosking dan Wallis, 1997) dan secara komprehensif dikaji oleh Hosking pada tahun 1990. L-momen telah dipergunakan untuk aplikasi dalam bidang-bidang seperti penelitian terapan untuk teknik sipil, meteorologi, dan hidrologi (Gubareva dan Gartsman, 2010;Rahmand et al, 2013).…”

Section: Pendahuluanunclassified

Hujan rancangan berdasarkan analisis frekuensi regional dengan metode tl-moment

Ginting¹,

Putuhena²

2017

jsda

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ABSTRAKHujan rancangan dengan menggunakan analisis frekuensi regional memberikan keuntungan pada sekelompok data yang memiliki jumlah data terbatas. Data hujan yang terbatas yang digunakan untuk menghitung besarnya hujan rancangan memiliki tingkat kesalahan yang sangat besar untuk periode ulang yang tinggi. Oleh karena itu, maka digunakan analisis frekuensi regional berdasarkan pendekatan TL-momen. Jenis distribusi yang digunakan terdiri dari tiga yaitu Generalized Extreme Value (GEV), Generalized Pareto (GPA) dan Generalized Logistic (GLO). Ketiga jenis distribusi yang digunakan hanya Generalized Extreme Value (GEV) dan Generalized Logistic (GLO) yang mendekati nilai rata-rata regionalnya berdasarkan TL-Moment Ratio, sementara berdasarkan hasil pengujian Z distribusi menunjukkan Generalized Extreme Value (GEV) memberikan hasil yang terbaik. Dengan demikian, maka hujan rancangan berdasarkan analisis frekuensi regional terhadap data hujan maksimum tahunan, dengan panjang data minimal 10 tahun, menggunakan Generalized Extreme Value (GEV) di DAS Jakarta telah dapat ditentukan. Kata Kunci: Hujan rancangan, analisis frekuensi, generalized logistic, TL-momen, generalized etreme value ABSTRACTThe designs rainfall were estimated with the regional frequency analysis provides benefits to a dataset that has a limited amount of data. Minimum data used in calculating the amount of design rainfall has a very large error for higher return period. Therefore, the regional frequency analysis was used based on TL-moments method. There are three types of probability distributions used in this study, namely the Generalized Extreme Value (GEV), Generalized Pareto (GPA) and the Generalized Logistic (GLO). Two of the three types probability distributions are the best choice by the TL-moment ratio diagrams which are Generalized Extreme Value, and Generalized Logistic. An another analysis was conducted by the Z test and the Generalized Extreme Value (GEV) gives the best results. Therefore, the designs rainfall were estimated based on the regional frequency analysis in Jakarta watershed using the Generalized Extreme Value (GEV) has been determined.

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Estimating distribution parameters of extreme hydrometeorological characteristics by L-moments method

Cited by 52 publications

References 5 publications

Criteria for selecting fluorescent dye tracers for soil hydrological applications using Uranine as an example

Criteria for selecting fluorescent dye tracers for soil hydrological applications using Uranine as an example

Assessment of Climate Change in Nicaragua: Analysis of Precipitation and Temperature by Dynamical Downscaling over a 30-Year Horizon

Hujan rancangan berdasarkan analisis frekuensi regional dengan metode tl-moment

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