Frequency Analysis of Minimum Ecological Flow and Gage Height in Suwannee River, Florida

Nnaji, Gideon A.; Huang, Wenrui; Gitau, Margaret W.; Clark, Clayton J.

doi:10.2112/si68-020.1

Cited by 6 publications

(4 citation statements)

References 17 publications

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“…The method is extremely flexible Nnaji G. A. et al, 2014 [33]. When skewness coefficient become zero when the LPT III distribution reduced to lognormal distribution.…”

Section: Lpt III Methodsmentioning

confidence: 99%

Stochastic Modeling of Flow and Sediment of the Rivers at Delta Head, East Coast of India

Mishra¹

2017

AJOR

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Major peninsular rivers debouching into the Bay of Bengal through 2729 km long east coast of India, carry enormous inland flow and sediment from their alluvial basins. Present climate changes, storm irregularities and tsunamis have changed the hydrology of the coastal rivers. The hydrologic interventions for human need have reduced the sediment flow of the rivers resulting in sinking the deltas. Twelve important river basins in the east coast of India were identified. Linear and nonlinear regression equations were developed by stochastic approach of their annual flow and yearly sediment influx (1993)(1994)(1995)(1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012) for the 12 rivers at their delta head. As results, the annual flow of the rivers from Subarnarekha to Godavari followed rational curves except the Brahmani River and Gaussian models for rivers from the Godavari to south except the river Vaigai. Similarly, the curve fitting models of time series for sediment had shown a change in curve pattern, the river Godavari being the line of demarcation. Gumbel II and Log Pearson type III methods were used to predict the flow and the sediment at various probabilities. Sediment prediction by Gumbel method had shown lower values than Log Pearson Type III methods for planning and design of hydraulic structures. The disparities in geologic formation of the central India and Deccan Plateau can be emphasized based on the statistical interpretations.

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“…The method is extremely flexible Nnaji G. A. et al, 2014 [33]. When skewness coefficient become zero when the LPT III distribution reduced to lognormal distribution.…”

Section: Lpt III Methodsmentioning

confidence: 99%

Stochastic Modeling of Flow and Sediment of the Rivers at Delta Head, East Coast of India

Mishra¹

2017

AJOR

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“…USGS sering menggunakan statistik aliran 7Q10 untuk membantu memandu keputusan dalam pekerjaan sehari-hari mereka dalam pengaturan Total Beban Harian Maksimum, pasokan air dan pengelolaan, izin pembuangan air limbah, dan perlindungan habitat perairan yang terancam punah. 7Q10 adalah debit aliran terendah dalam 7 hari yang terjadi setiap 10 tahun (Nnaji, 2014). Untuk nalisa neraca air, dalam penelitian ini dilakukan beberapa metode, antara lain HBV, Sacramento, dan NRECA.…”

Section: Indeks Debit Rendahunclassified

“…Distribusi Extreme-Value type III (EV3) untuk minima juga dikenal sebagai Weibullmin. Karena aliran rendah pasti dibatasi oleh nol dalam kasus yang paling parah, distribusi Weibullmin adalah kandidat alami untuk model hidrologi minima (Naghettini, 2017;Granemann, 2018;Nnaji, 2014). Jika aliran rendah dibatasi oleh nol, distribusi EV3 disebut sebagai Weibullmin dua parameter.…”

Section: Distribusi Weibull Untuk Minimaunclassified

Penilaian Debit Lingkungan Berbasis Pendekatan Hidrologi pada DAS Citarum Hulu

Sebayang¹,

Soekarno²,

Cahyono³

et al. 2023

j. Teknik SDA

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Di Indonesia, kawasan Sungai Citarum mengalami tantangan lingkungan yang cukup signifikan, antara lain meluapnya Sungai Citarum dan daerah aliran sungainya yang menyebabkan banjir, dan kekurangan air pada musim kemarau. Namun, tantangan utama adalah ketersediaan air di Citarum, karena debit yang mempengaruhi keseimbangan ekologi Daerah Aliran Sungai (DAS). Penelitian ini mengkaji beberapa metode penilaian debit lingkungan dengan pendekatan berbasis hidrologi diantaranya Tennant, Range of Variability Approach (RVA). Penelitian ini bertujuan untuk mengetahui besarnya aliran lingkungan (EF) yang diperlukan untuk menopang fungsi sungai dalam mendukung keseimbangan ekologi. Hasil penelitian menunjukan bahwa metode penilaian aliran lingkungan berbasis hidrologi merupakan langkah pertama yang diperlukan dalam perencanaan alokasi debit untuk perlindungan lingkungan. Ditunjukkan bahwa penggunaan fitur-fitur pelengkap dari teknik penilaian aliran lingkungan yang ada dapat digunakan untuk mencapai perkiraan aliran lingkungan yang dapat dibenarkan, bahkan dalam kondisi keterbatasan informasi terkait hubungan ekologi-hidrologi spesifik pada DAS Citarum. Penelitian ini bermaksud untuk mempromosikan perlunya perencanaan alokasi debit lingkungan dalam pengembangan DAS dan dapat dirumuskan ke dalam kebijakan nasional yang relevan. Kajian EF dilakukan dengan membandingkan 7Q10 dan Q95 dari kedua data pengamatan debit Nanjung dan pemodelan curah hujan-limpasan. Hasilnya ditemukan bahwa metode Weibull minima, hasil 7Q10 untuk pemodelan Sacramento, adalah 2,18 m3/s sedangkan AWLR Nanjung adalah 1,24 m3/s. Selain itu, nilai Q95 untuk Nanjung AWLR adalah 6,55 m3/s sedangkan hasil pemodelan curah hujan limpasan Sacramento adalah 7,06 m3/s. Besaran debit yang tersedia perlu dipastikan dapat mendukung kondisi ekologi di wilayah DAS Citarum Hulu. Hal ini relevan karena perbedaan tersebut tentunya mempengaruhi keseimbangan ekologi dan pengelolaan Sungai Citarum.

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“…The amount of WEC is not only determined by the water quality protection target, but also dependent on the designed low water flow. The designed low water flow is often chosen by the minimum monthly average water flow with an annual exceedance probability [5,6] or the seven-day average low flow within a T-year return period [7,8]. Thus, the designed low water flows are determined by frequency analysis that are often based on historical natural low water flow series and its stationarity assumption.…”

Section: Introductionmentioning

confidence: 99%

Impacts of Water Resources Allocation on Water Environmental Capacity under Climate Change

Zeng

Liu

Guo

et al. 2021

Water

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Water environmental capacity (WEC) is an essential indicator for effective environmental management. The designed low water flow condition is a prerequisite to determine WEC and is often based on the stationarity assumption of low water flow series. As the low water flow series has been remarkably disturbed by climate change as well as reservoirs operation and water acquisition, the stationarity assumption might bring risk for WEC planning. As the reservoir operation and water acquisition under climate change can be simulated by a water resources allocation model, the low water flow series outputted from the model are the simulations of the disturbances and often show nonstationary conditions. After estimating the designed low water flow through nonstationary frequency analysis from these low water flow series, the WEC under the nonstationary conditions can be determined. Thus, the impacts of water resources allocation on WEC under climate change can be quantitatively assessed. The mid-lower reaches of the Hanjiang River basin in China were taken as a case study due to the intensive reservoir operation and water acquisition under the climate change. A representative concentration pathway scenario (RCP4.5) was employed to project future climate, and a Soil and Water Assessment Tool (SWAT) model was employed to simulate water availability for driving the Interactive River-Aquifer Simulation (IRAS) model for allocating water. Water demand in 2016 and 2030 were selected as baseline and future planning years, respectively. The results show that water resources allocation can increase the amount of WEC due to amplifying the designed low water flow through reservoir operation. Larger regulating capacities of water projects can result in fewer differences of WEC under varied water availability and water demand conditions. The increasing local water demand will decrease WEC, with less regulating capacity of the water projects. Even the total available water resources will increase over the study area under RCP4.5. More water deficit will be found due to the uneven temporal-spatial distribution as well as the increasing water demand in the future, and low water flow will decrease, which further leads to cut down WEC. Therefore, the proposed method for determining the WEC can quantify the risk of the impacts of water supply and climate change on WEC to help water environmental management.

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Frequency Analysis of Minimum Ecological Flow and Gage Height in Suwannee River, Florida

Cited by 6 publications

References 17 publications

Stochastic Modeling of Flow and Sediment of the Rivers at Delta Head, East Coast of India

Stochastic Modeling of Flow and Sediment of the Rivers at Delta Head, East Coast of India

Penilaian Debit Lingkungan Berbasis Pendekatan Hidrologi pada DAS Citarum Hulu

Impacts of Water Resources Allocation on Water Environmental Capacity under Climate Change

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