A new method for modelling flow duration curves and predicting streamflow regimes under altered land-use conditions / Une nouvelle méthode de modélisation des courbes de débits classés et de prévision des régimes d'écoulement sous conditions modifiées d'occupation du sol

Shao, Quanxi; Zhang, Lu; Chen, Yongqin D.; Singh, Vijay P.

doi:10.1623/hysj.54.3.606

Cited by 34 publications

(14 citation statements)

References 29 publications

(31 reference statements)

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“…The monthly flow duration curve of the observed discharge time series is computed for the different periods to evaluate flow regime change in relation to the LULC condition in 1970s, 1980s, 1990s and 2000s.The flow duration curve describes the streamflow against the percentage of time in which the streamflow is equalled or exceeded. It is a useful parameter for representing streamflow variability (Zheng et al ., ; Shao et al ., ).…”

Section: Methodsmentioning

confidence: 97%

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Hydrologic responses to land cover change: the case of Jedeb mesoscale catchment, Abay/Upper Blue Nile basin, Ethiopia

Tekleab

Mohamed

Uhlenbrook

et al. 2013

Hydrological Processes

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The objective of this study was to quantify the impacts of land use/land cover (LULC) change on the hydrology of the Jedeb, an agricultural dominated mesoscale catchment, in the Abay/Upper Blue Nile basin, Ethiopia. Two methods have been used. First, the trends of certain daily flow variability parameters were evaluated to detect statistical significance of the change of the hydrologic response. Second, a conceptual monthly hydrological model was used to detect changes in the model parameters over different periods to infer LULC change. The results from the statistical analysis of the daily flows between 1973 and 2010 reveal a significant change in the response of the catchment. Peak flow is enhanced, i.e. response appears to be flashier. There is a significant increase in the rise and fall rates of the flow hydrograph, as well as the number of low‐flow pulses below a threshold level. The discharge pulses show a declining duration with time. The model result depicts a change in model parameters over different periods, which could be attributed to an LULC change. The model parameters representing soil moisture conditions indicated a gradual decreasing trend, implying limited storage capacity likely attributed to increasing agricultural farming practices in the catchment. This resulted in more surface runoff and less infiltration into the soil layers. The results of the monthly flow duration curve analysis indicated large changes of the flow regime. The high flow has increased by 45% between the 1990s and 2000s, whereas the reduction in low flows was larger: a 15% decrease between 1970s and 1980s, 39% between 1980s and 1990s and up to 71% between 1990s and 2000s. These results, could guide informed catchment management practices to reduce surface runoff and augment soil moisture level in the Jedeb catchment. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Methodsmentioning

confidence: 97%

“…The flow duration curve describes the streamflow against the percentage of time in which the streamflow is equalled or exceeded. It is a useful parameter for representing streamflow variability (Zheng et al, 2007;Shao et al, 2009).…”

Section: Monthly Flow Duration Curvementioning

confidence: 99%

Hydrologic responses to land cover change: the case of Jedeb mesoscale catchment, Abay/Upper Blue Nile basin, Ethiopia

Tekleab

Mohamed

Uhlenbrook

et al. 2013

Hydrological Processes

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“…The main novelty of the proposed methodology consists in the identification of the needed load reduction. To quantify the pollutant reduction for each observation and then for all classes of flow, the LDC representing the TMDL was fitted to the Burr XII distribution [24,25]. In this case, it is possible to predict the observed load for all the x-values in which the observed E. coli was sampled, unlike the LDC method proposed by USEPA, whereas the observed load is computed based on a single concentration and the middle permanence flow of each flow regime.…”

Section: Burr XII Curvementioning

confidence: 99%

“…This would become the purpose of this study, detailed in the forthcoming sentences. With the new approach, a trend line of observed loads is estimated using the LOESS smoothing technique [23], while the calculated TMDLs are fitted to a non-linear line using the Burr XII distribution [24,25]. Having defined these two tendencies, they can be visually compared to identify impaired pollutant loads in a straightforward manner.…”

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confidence: 99%

A New Approach to Use Load Duration Curves to Evaluate Water Quality: A Study in the Doce River Basin, Brazil

Serrano

Borges

Pruski

et al. 2020

Water

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Although water availability depends both on qualitative and quantitative aspects, most studies focus only on one of these. Therefore, the goal here is to relate water quality and quantity with the construction of Load Duration Curves (LDC) and to estimate E. coli load patterns in different flow conditions, seasons, and positions of two sub-basins of the Doce watershed (Brazil): Piracicaba and Piranga. A novel methodology is proposed in which the Burr XII distribution is adjusted to the LDC to compare all observed loads to their respective Total Maximum Daily Load (TMDL), allowing the estimation of the relative difference (RD) between these. Higher values of RD were observed for low flows for the Piracicaba basin, more urbanized, where point sources of pollution are the primary concern, reaching up to 99% of needed load reduction. In the Piranga basin, more agricultural, there was a broader RD variation, from 9% to 97% load reduction needed, which is an evidence of point sources of pollution combined with non-point sources. The new methodology can be used to estimate the load reduction of any pollutant and can be used by environmental agencies to identify effective practices to minimize and control pollution in different locations of the basins.

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“…Among intra-annual characteristics of streamflow, the flow duration curve, a typical frequency analysis method based on daily series has been widely applied to analyze change in intra-annual distribution of streamflow (Castellarin et al 2004;Botter et al 2008;Shao et al 2009;Serinaldi 2011;Furat et al 2014;Liucci et al 2014). Recently, the fractional order statistics (Serinaldi 2009;Zhang et al 2009) and the entropy theory Singh 2011, 2012;Singh et al 2014) have been used to describe characteristics of monthly runoff or extreme flow.…”

Section: Introductionmentioning

confidence: 99%

Intra-annual Distribution of Streamflow and Individual Impacts of Climate Change and Human Activities in the Dongijang River Basin, China

Singh

Chen

et al. 2015

Water Resour Manage

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Individual impacts of climate change, land use/coverage change, the regulation of water reservoir and water use to intra-annual distribution of streamflow of the Dongjiang River basin, South China, are quantitatively separated. Data on precipitation, streamflow, regulation of water reservoirs, and water use are used in the analysis. Changes in the concentration degree and non-uniformity coefficient of intra-annual distribution of streamflow over time scales from daily to monthly are evaluated. Water Resour ManageTrend and change point analyses are applied to determine characteristics of intra-annual distribution of streamflow. By comparison with the difference among region precipitation, naturalized streamflow and observed streamflow, the contribution of main impact factors to the intra-annual distribution of streamflow are quantified. Results demonstrate the non-uniformity coefficient decreases with a negative logarithmic linear function of the time scale. Change points of the concentration degree and non-uniformity coefficient occurred in 1973 exhibited a significant downward trend. In the period posterior to the change point the former and the latter decrease approximately by 15-34 % and by 29-40 %, respectively. The decrease in concentration degree and non-uniformity coefficient is due to the regulation of water reservoirs and land use/cover change; while the increase is the result of water use and climate change. The individual contributions to the impact on the intra-annual distribution of streamflow from regulation of water reservoirs, land use/cover change, water use, and climate change are approximately −33.5, −9.0, 4.5 and 1.0 %. It is observed that the impacts of the regulations of the Xinfengjiang, Fengshuba, and Baipenzhu reservoirs account for −21, −10, and −2 %, respectively. There is an increasing tendency in the impacts of land use/cover change and water use in the past 30 years.

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A new method for modelling flow duration curves and predicting streamflow regimes under altered land-use conditions / Une nouvelle méthode de modélisation des courbes de débits classés et de prévision des régimes d'écoulement sous conditions modifiées d'occupation du sol

Cited by 34 publications

References 29 publications

Hydrologic responses to land cover change: the case of Jedeb mesoscale catchment, Abay/Upper Blue Nile basin, Ethiopia

Hydrologic responses to land cover change: the case of Jedeb mesoscale catchment, Abay/Upper Blue Nile basin, Ethiopia

A New Approach to Use Load Duration Curves to Evaluate Water Quality: A Study in the Doce River Basin, Brazil

Intra-annual Distribution of Streamflow and Individual Impacts of Climate Change and Human Activities in the Dongijang River Basin, China

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