Estimate of time required for environmentally friendly flushing in Dez dam reservoir

Khakzad, Hamid; Elfimov, V. I.

doi:10.2166/wpt.2015.010

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…The sudden release of large volumes of sediment may create serious problems downstream, such as channel aggradations and flooding, interference with water supply and cooling water intakes, as well as adverse impacts on fisheries and the environment (Khakzad & Elfimov 2015a, 2015b.…”

Section: Introductionmentioning

confidence: 99%

“…The equations all have the form: z ¼ a þ b( ln (x)) þ c(ln(y)), where, z is severity of ill effect, x is duration of exposure (h), y is concentration of suspended sediment (mg SS/L), a is the intercept, and b and c are slope coefficients. However, the study provided primary available estimates of the onset of sublethal and lethal effects, they applied regression models as a method to estimate SEV and have difficulties in showing the important factors affecting SEV (Khakzad & Elfimov 2015a, 2015b. In addition, it is likely that the assumptions that are made in a regression model may be violated if data for diseases or disorders are used in the model, because linear regression models need assumptions to be made, including assumptions about the linearity, normality, and homoscedasticity of the data, among others (Byeon 2014).…”

Section: Introductionmentioning

confidence: 99%

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Improving performance of classification on severity of ill effects (SEV) index on fish using K-Means clustering algorithm with various distance metrics

Khakzad¹

2019

Water Practice and Technology

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The severity of ill effects (SEV) index is based on the limited meta-analysis of previous peer reviewed reports and consultations, and described as a function of duration of exposure to turbid conditions in fisheries or fish life stages by fish adapted to life in clear water ecosystems. In this study, the performance of classification by SEV index was investigated using the K-Means clustering algorithm. This study is based on 303 tests undertaken on aquatic ecosystem quality over a wide range of sediment concentrations (1–50,000 mg SS/L) and durations of exposure (1–35,000 h). Training and testing data includes concentration of suspended sediment, duration of exposure, species and life stages as the input variables and the SEV index for fish as the output variable. Results indicate that the K-Means clustering algorithm, as an efficient novel approach with an acceptable range of error, can be used successfully for improving the performance of classification by SEV index.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving performance of classification on severity of ill effects (SEV) index on fish using K-Means clustering algorithm with various distance metrics

Khakzad¹

2019

Water Practice and Technology

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Study of reservoir sedimentation due to volcanic eruption and its management

Hidayat

Juwono

Suharyanto

et al. 2018

Dams and Reservoirs

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The sedimentation in reservoirs is mainly caused by sediment inflow from land erosion, riverbank erosion and volcanic eruption. The objectives of this research are to study reservoir sedimentation using the average end-area method for reservoir volume calculation, and to study sediment management in reservoirs and their catchments. This research was conducted in Wlingi and Lodoyo reservoirs, located near Mt. Kelud, one of the most active volcanoes in Indonesia. The assessment reveals that both reservoirs are severely affected by eruptions of Mt. Kelud. The total remaining capacity of Wlingi reservoir in 2015 was 2·20 million m3, which corresponds to 9·2% of the initial capacity. The total remaining capacity of Lodoyo reservoir in 2015 was 1·33 million m3, which corresponds to 25·8% of the initial capacity. Sediment management strategies of both reservoirs consist of methods to reduce sediment inflow from upstream, methods to minimise sediment trapping, and methods to recover the reservoirs’ storage.

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A framework for cost-benefit assessment of alternative sediment management strategies in Dez hydropower reservoir: A probabilistic approach

Khakzad¹

2019

Water Practice and Technology

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A new theoretical approach to assessing the economic feasibility of sediment management strategies is proposed by incorporating probability distribution directly into the analysis. This would allow the life of Dez hydropower, for instance, to be prolonged definitely. The discount rate is also examined as a fundamental means of reflecting risk in discounted cash flow evaluations. Eight options for sediment management in Dez reservoir are assessed and future reservoir storage volumes estimated for the period 2018 to 2068. As a second step, discounted cash flow (DCF) with gamma discounting rate is used to evaluate present values for future cash flows for each option. The results indicate that these models, which offer an efficient approach, can be used to assess the cost-benefit feasibility of sediment management strategies. Guidelines are given for applying this approach to other projects.

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Estimate of time required for environmentally friendly flushing in Dez dam reservoir

Cited by 4 publications

References 2 publications

Improving performance of classification on severity of ill effects (SEV) index on fish using K-Means clustering algorithm with various distance metrics

Improving performance of classification on severity of ill effects (SEV) index on fish using K-Means clustering algorithm with various distance metrics

Study of reservoir sedimentation due to volcanic eruption and its management

A framework for cost-benefit assessment of alternative sediment management strategies in Dez hydropower reservoir: A probabilistic approach

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