An Assessment on Base and Peak Flows Using a Physically-Based Model

Jajarmizadeh, Milad; Harun, Sobri; Salarpour, Mohsen

doi:10.19026/rjees.5.5638

Cited by 9 publications

(9 citation statements)

References 25 publications

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“…Although SWQ field measurements are the most reliable data, they are sometimes costly and hard to perform. [24] Computer modelling aids field measurements to generate a field-validated model that can predict the fate of nutrients under different conditions after calibration and validation. [25] Developing a computer model needs a comprehensive understanding about on-going processes affecting the nutrients' fate, which might be difficult and complex.…”

Section: Introductionmentioning

confidence: 99%

“…[21] have been suggested and refined to achieve this goal. [24] Mathematical models utilise simulated processes (representing natural processes) to model the hydrology of watersheds. Higher speed and larger calculation volumes, clearer chronological sets of relations as well as logical steps between input and output make the mathematical models promising for simulating complicated processes in the future.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Impacts of Anthropogenic Land Use Changes on Nutrient Concentrations in Surface Waterbodies: A Review

Delkash

Al-Faraj

Scholz

2018

CLEAN Soil Air Water

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Increased population leads to land use (LU) changes from natural to urban and agricultural LU. These disturbances not only decrease the natural treatment potential but they also worsen surface water quality (SWQ). The aim of this review is to assess studies about impacts of anthropogenic LU changes on levels of nutrient concentrations in surface waterbodies, highlighting the important parameters needed for an integrated simulation. The results reported in the literature are not always fully consistent. These contradictory results can sometimes be explained by field measurements under different climatic conditions, different features of landscapes, air deposition rates on ground surfaces, and groundwater flow interactions with surface water. Integrated modelling has been suggested to overcome these inconsistencies. Physical-based and empirical models are the most popular approaches for LU-SWQ studies. Generally, anthropogenic LU such as agricultural and urban areas usually enhances nutrient concentrations much more than natural lands such as forest and barren. Developing sustainable metropolitan areas instead of rural areas, establishing high-standard wastewater treatment plants, and practicing efficient fertiliser application would ameliorate the poor nutrient conditions in SWQ. Riparian vegetation, grassed swales, and construction of artificial wetlands as buffer zones are the most promising natural water quality control measures.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts of Anthropogenic Land Use Changes on Nutrient Concentrations in Surface Waterbodies: A Review

Delkash

Al-Faraj

Scholz

2018

CLEAN Soil Air Water

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“…SWAT-CUP has been widely used to calibrate SWAT models in many regions (e.g. Masih et al 2011, Jajarmizadeh et al 2013, Wang et al 2014. Only parameters related to flow were used in the calibration.…”

Section: Temporal Disaggregation Approachesmentioning

confidence: 99%

Statistical seasonal rainfall and streamflow forecasting for the Sirba watershed, West Africa, using sea-surface temperatures

Sittichok

Djibo

Seidou

et al. 2016

Hydrological Sciences Journal

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The ability of various statistical techniques to forecast the July-August-September (JAS) total rainfall and monthly streamflow in the Sirba watershed (West Africa) was tested. First, multiple linear regression was used to link predictors derived from the Atlantic and Pacific sea-surface temperatures (SST) to JAS rainfall in the watershed up to 18 months ahead; then, daily precipitation was generated using temporal disaggregation; and finally, a rainfall-runoff model was used to generate future hydrographs. Different combinations of lag times and time windows on which SSTs were averaged were considered. Model performance was assessed using the Nash-Sutcliffe coefficient (E f), the coefficient of determination (R 2) and a three-category hit score (H). The best results were achieved using the Pacific Ocean SST averaged over the March-June period of the year, before the rainy season, and led to a performance of R 2 = 0.458, E f = 0.387 and H = 66.67% for JAS total rainfall, and R 2 = 0.552, E f = 0.487 and H = 73.28% for monthly streamflow.

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“…Among the different kinds of models, semi-distributed models are the most efficient model for hydrological simulation as it exceeds the difficulties normally faced with fully distributed model and lumped model (Jajarmizadeh et al 2013). Out of these models, the Soil and Water Assessment Tool (SWAT) is a continuous daily step, long period, physically based parameter, and distributed hydrologic model has been used widely to simulate agricultural watersheds management practices as in Moriasi et al (2011), help to evaluate the climate change impacts as in Singh and Gosain (2011), identify water quality in watersheds as in Boithias et al (2011) and Oeurng et al (2010), and assess the surface, subsurface flow, and sediment yield transfer in various watersheds with varying soils as in Arnold et al (2012) and Gassman et al (2014).…”

Section: Introductionmentioning

confidence: 99%

Hydrological model for Hemren dam reservoir catchment area at the middle River Diyala reach in Iraq using ArcSWAT model

2019

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In this study, the catchment area's runoff of Hemren dam reservoir within middle River Diyala reach beyond Derbendi-Khan dam at the northeast of Iraq is simulated using the Soil Water Assessment Tool (ArcSWAT-2012) model integrated with remote sensing and geographical information systems. The model was calibrated in monthly time step for the period extended from 1981 to 2000 with 2 years of warm-up period and validated with observed stream flow for years between 2001 and 2008. The model calibration and parameters sensitivity analysis were conducted using automatic calibration method within the SWAT-CUP program. The model performance for the studied catchment area was evaluated with many statistical criteria. In general, the performance of the model was good. Results of sensitivity analysis showed that there are seven parameters that mostly effect on the hydrological processes in the studied catchment; these were ALPHA_BF, CH_K2, CN2, CH_N2, SOL_AWC, REVAPMN, and GW_REVAP. Results showed that an effective runoff happens at wet seasons, and there is not continuous effective base flow from the studied catchment, and the average annual inflow volume to Hemren dam reservoir during the simulation period was 0.871 BCM, i.e., 17.42% of the overall inflow volume to Hemren dam reservoir. Furthermore, it was founded that the use of climate forecast system reanalysis of global weather station data is possible in the studied catchment area. Finally, a simple direct regression formula is determined by correlating the monthly runoff volume with monthly rainfall depth.

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An Assessment on Base and Peak Flows Using a Physically-Based Model

Cited by 9 publications

References 25 publications

Impacts of Anthropogenic Land Use Changes on Nutrient Concentrations in Surface Waterbodies: A Review

Impacts of Anthropogenic Land Use Changes on Nutrient Concentrations in Surface Waterbodies: A Review

Statistical seasonal rainfall and streamflow forecasting for the Sirba watershed, West Africa, using sea-surface temperatures

Hydrological model for Hemren dam reservoir catchment area at the middle River Diyala reach in Iraq using ArcSWAT model

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