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Streamflow measurement is of great importance in hydrological research, water management and water infrastructure design. Traditional measurement methods typically employ intrusive techniques, and under certain conditions, obtaining accurate streamflow data with these techniques can be challenging because of safety concerns, especially in some critical circumstances, such as during flood flows. The advent of new instrumentation and technologies, and in particular advances in digital imagery, has led to the emergence of non-intrusive novel image-based technologies that can be used to estimate surface velocity, which in turn can be used to estimate streamflow. Image based technologies, most of which are based on correlation between consecutive images, have the potential for remote and on demand measurements and can provide data when the application of other traditional methods are not possible, reliable or safe. In this study, we present a novel machine learning based optical flow algorithm for streamflow surface velocimetry estimation. The developed algorithm is tested in different flow conditions and using drone and fixed photogrammetry. This method appears to outperform all the other available image-based surface velocimetry approaches (i.e. correlation based and classical optical flow methods). Moreover, this method requires the least user involvement for velocity estimation and thus reduces the impact or arbitrary choices linked to user expertise.
Saber Ansari; Colin D. Rennie; Elizabeth C. Jamieson; Ousmane Seidou; Shawn P. Clark. Machine Learning Based Surface Velocimetry. 2021, 1 .
AMA StyleSaber Ansari, Colin D. Rennie, Elizabeth C. Jamieson, Ousmane Seidou, Shawn P. Clark. Machine Learning Based Surface Velocimetry. . 2021; ():1.
Chicago/Turabian StyleSaber Ansari; Colin D. Rennie; Elizabeth C. Jamieson; Ousmane Seidou; Shawn P. Clark. 2021. "Machine Learning Based Surface Velocimetry." , no. : 1.
While Stochastic Weather Generators (SWGs) are used intensively in climate and hydrological applications to simulate hydroclimatic time series and estimate risks and performance measures linked to climate variability, there have been few investigations into how many realizations are required for a robust estimation of these measures. Given the computational cost and time necessary to force climate-sensitive systems with multiple realizations, the estimation of the optimal number of synthetic time series to generate with a particular SWG for a predefined accuracy when estimating a particular risk or performance measure is particularly important. In this paper, the required number of realizations of five SWGs coupled with a SWAT model (the Soil and Water Assessment Tool) needed in order to achieve a predefined Relative Root Mean Square Error is investigated. The statistical indices used are the mean, standard deviation, skewness, and kurtosis of four hydroclimatic variables: precipitation, maximum and minimum temperature, and annual streamflow obtained for each observed and model-generated time series. While the results vary somewhat across SWGs, variables and indicators, they overall show that the marginal improvement decreases dramatically after 25 realizations. The results also indicate that the benefit of generating more than 100 realizations of climate and streamflow data is very minimal. The methodology presented herein can be applied in further investigations of other set of risk indicators, SWGs, hydrological models, and watersheds to minimize the required workload.
Abdullah Alodah; Ousmane Seidou. Influence of output size of stochastic weather generators on common climate and hydrological statistical indices. Stochastic Environmental Research and Risk Assessment 2020, 34, 993 -1021.
AMA StyleAbdullah Alodah, Ousmane Seidou. Influence of output size of stochastic weather generators on common climate and hydrological statistical indices. Stochastic Environmental Research and Risk Assessment. 2020; 34 (7):993-1021.
Chicago/Turabian StyleAbdullah Alodah; Ousmane Seidou. 2020. "Influence of output size of stochastic weather generators on common climate and hydrological statistical indices." Stochastic Environmental Research and Risk Assessment 34, no. 7: 993-1021.
This study evaluates the impact of climate change on water resources in a large, semi-arid urban watershed located in the Niamey Republic of Niger, West Africa. The watershed was modeled using the fully integrated surface–subsurface HydroGeoSphere model at a high spatial resolution. Historical (1980–2005) and projected (2020–2050) climate scenarios, derived from the outputs of three regional climate models (RCMs) under the regional climate projection (RCP) 4.5 scenario, were statistically downscaled using the multiscale quantile mapping bias correction method. Results show that the bias correction method is optimum at daily and monthly scales, and increased RCM resolution does not improve the performance of the model. The three RCMs predicted increases of up to 1.6% in annual rainfall and of 1.58 °C for mean annual temperatures between the historical and projected periods. The durations of the minimum environmental flow (MEF) conditions, required to supply drinking and agricultural water, were found to be sensitive to changes in runoff resulting from climate change. MEF occurrences and durations are likely to be greater from 2020–2030, and then they will be reduced for the 2030–2050 statistical periods. All three RCMs consistently project a rise in groundwater table of more than 10 m in topographically high zones, where the groundwater table is deep, and an increase of 2 m in the shallow groundwater table.
Boubacar Abdou Boko; Moussa Konaté; Nicaise Yalo; Steven J. Berg; Andre R. Erler; Pibgnina Bazié; Hyoun-Tae Hwang; Ousmane Seidou; Albachir Seydou Niandou; Keith Schimmel; Edward A. Sudicky. High-Resolution, Integrated Hydrological Modeling of Climate Change Impacts on a Semi-Arid Urban Watershed in Niamey, Niger. Water 2020, 12, 364 .
AMA StyleBoubacar Abdou Boko, Moussa Konaté, Nicaise Yalo, Steven J. Berg, Andre R. Erler, Pibgnina Bazié, Hyoun-Tae Hwang, Ousmane Seidou, Albachir Seydou Niandou, Keith Schimmel, Edward A. Sudicky. High-Resolution, Integrated Hydrological Modeling of Climate Change Impacts on a Semi-Arid Urban Watershed in Niamey, Niger. Water. 2020; 12 (2):364.
Chicago/Turabian StyleBoubacar Abdou Boko; Moussa Konaté; Nicaise Yalo; Steven J. Berg; Andre R. Erler; Pibgnina Bazié; Hyoun-Tae Hwang; Ousmane Seidou; Albachir Seydou Niandou; Keith Schimmel; Edward A. Sudicky. 2020. "High-Resolution, Integrated Hydrological Modeling of Climate Change Impacts on a Semi-Arid Urban Watershed in Niamey, Niger." Water 12, no. 2: 364.
In this paper, the study area was the Inner Niger Delta (IND) in Mali, West Africa. The IND is threatened by climate change, increasing irrigation, and dam operations. 2D hydrodynamic modelling was used to simulate water levels, discharge, and inundation extent in the IND. Three different digital elevation models (DEM) (SRTM, MERIT, and a DEM derived from satellite images were used as a source of elevation data. Six different models were created, with different sources of elevation data and different downstream boundary conditions. Given that the performance of the models varies according to the location in the IND, the variable under consideration and the performance criteria, Bayesian Model Averaging (BMA) was used to assess the relative performance of each of the six models. The BMA weights, along with deterministic performance measures, such as the Nash Sutcliffe coefficient (NS) and the Pearson’s correlation coefficient (r), provide quantitative evidence as to which model is the best when simulating a particular hydraulic variable at a particular location. After the models were combined with BMA, both discharge and water levels could be simulated with reasonable precision (NS > 0.8). The results of this work can contribute to the more efficient management of water resources in the IND.
Mominul Haque; Ousmane Seidou; Abdolmajid Mohammadian; Abdouramane Gado Djibo; Stefan Liersch; Samuel Fournet; Sara Karam; Edangodage Duminda Pradeep Perera; Martin Kleynhans. Improving the Accuracy of Hydrodynamic Simulations in Data Scarce Environments Using Bayesian Model Averaging: A Case Study of the Inner Niger Delta, Mali, West Africa. Water 2019, 11, 1766 .
AMA StyleMominul Haque, Ousmane Seidou, Abdolmajid Mohammadian, Abdouramane Gado Djibo, Stefan Liersch, Samuel Fournet, Sara Karam, Edangodage Duminda Pradeep Perera, Martin Kleynhans. Improving the Accuracy of Hydrodynamic Simulations in Data Scarce Environments Using Bayesian Model Averaging: A Case Study of the Inner Niger Delta, Mali, West Africa. Water. 2019; 11 (9):1766.
Chicago/Turabian StyleMominul Haque; Ousmane Seidou; Abdolmajid Mohammadian; Abdouramane Gado Djibo; Stefan Liersch; Samuel Fournet; Sara Karam; Edangodage Duminda Pradeep Perera; Martin Kleynhans. 2019. "Improving the Accuracy of Hydrodynamic Simulations in Data Scarce Environments Using Bayesian Model Averaging: A Case Study of the Inner Niger Delta, Mali, West Africa." Water 11, no. 9: 1766.
A quantitative assessment of the likelihood of all possible future states is lacking in both the traditional top-down and the alternative bottom-up approaches to the assessment of climate change impacts. The issue is tackled herein by generating a large number of representative climate projections using weather generators calibrated with the outputs of regional climate models. A case study was performed on the South Nation River Watershed located in Eastern Ontario, Canada, using climate projections generated by four climate models and forced with medium- to high-emission scenarios (RCP4.5 and RCP8.5) for the future 30-year period (2071–2100). These raw projections were corrected using two downscaling techniques. Large ensembles of future series were created by perturbing downscaled data with a stochastic weather generator, then used as inputs to a hydrological model that was calibrated using observed data. Risk indices calculated with the simulated streamflow data were converted into probability distributions using Kernel Density Estimations. The results are dimensional joint probability distributions of risk-relevant indices that provide estimates of the likelihood of unwanted events under a given watershed configuration and management policy. The proposed approach offers a more complete vision of the impacts of climate change and opens the door to a more objective assessment of adaptation strategies.
Abdullah Alodah; Ousmane Seidou. Assessment of Climate Change Impacts on Extreme High and Low Flows: An Improved Bottom-Up Approach. Water 2019, 11, 1236 .
AMA StyleAbdullah Alodah, Ousmane Seidou. Assessment of Climate Change Impacts on Extreme High and Low Flows: An Improved Bottom-Up Approach. Water. 2019; 11 (6):1236.
Chicago/Turabian StyleAbdullah Alodah; Ousmane Seidou. 2019. "Assessment of Climate Change Impacts on Extreme High and Low Flows: An Improved Bottom-Up Approach." Water 11, no. 6: 1236.
The African Sahel is known for its climate variability that often translates into recurrent droughts. Rainfall has drastically decreased substantially across the Sahel from the 1950s until at least the late 1980s. It is unclear from the literature and from the fifth IPCC assessment report whether the trend in annual rainfall in the next decades would be decreasing as observed throughout the \(20^{th}\) century or increasing as suggested by a significant number of climate models. There is however a low to medium confidence that extreme rainfalls would increase. The objective of this paper is to demonstrate that both possibilities (an increase or a decrease in rainfall in the future) may results in more opportunities to mobilize water for populations in the Sahel. To demonstrate that, the ability of 20 regional climate models is evaluated based on their ability to reproduce key parameters of the rainy season in Niger, West Africa. The outputs of the 10 best models are then downscaled at 52 climate stations in the country to generate precipitation projections up to year 2100. Results show that a wetter climate is more likely than a drier climate at horizons 2021–2050, 2051–2075 and 2071–2100 compared to the 1979–2014 period; The paper also examines the so-called ‘Sahelian Paradox’, an observed counter-intuitive phenomena where decrease in rainfall resulted in a higher surface runoff, pointing to opportunities for water harvesting in the eventuality of a drier climate.
Ousmane Seidou. Climate Change May Result in More Water Availability in Parts of the African Sahel. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018, 143 -152.
AMA StyleOusmane Seidou. Climate Change May Result in More Water Availability in Parts of the African Sahel. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. 2018; ():143-152.
Chicago/Turabian StyleOusmane Seidou. 2018. "Climate Change May Result in More Water Availability in Parts of the African Sahel." Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering , no. : 143-152.
The response of the semi-alluvial clay-bed Watts Creek is assessed subject to climate change. Climate impacts are expected to have regional variability, and few studies have assessed the impacts of future climate in a small urban watershed. The 21 km2 watershed located in Ottawa, Ontario, Canada is highly urbanised (68%) and agricultural (20%) with limited forest cover (12%). Continuous simulations were performed using the SWMHYMO lumped hydrologic modelling platform for the open water year, excluding spring freshet (April 1st to October 31st). A shear stress exceedance and stream power erosion routine was added to the platform to calculate erosion potential. To account for uncertainty in the collected data, nine different field data sets were used to calibrate the model, each leading to a distinct set of calibrated parameter values. The difference between the data sets lies in the choice of the rating curves and calibration period. The 2041-2080 precipitation outputs of the fourth version of the Canadian Regional Climate Model (CanRCM4) ran under Representative Concentration Pathways (RCPs) 4.5 and 8.5 at the MacDonald Cartier International Airport were downscaled using quantile matching and then used as input to the continuous hydrologic model. For each set of calibrated parameters, a cumulative effective work index (CWI) based on the reach-averaged shear stress was calculated for Watts Creek using both the historic (1967 – 2007) and projected future (2041-2080) flows, using a bed material critical shear stress for entrainment of 3.7 Pa. This Results suggest an increase of 75% (resp. 139%) under RCP4.5 (resp. RCP8.5) in CWI compared to historic conditions for the average measured bed strength. The work index increase is driven by an increased occurrence of above-threshold events, and more importantly by the increased frequency of large events. The predicted flow regime under climate change would significantly alter the erosion potential and stability of Watts Creek.
Colin P. Brennan; Parna Parsapour-Moghaddam; Colin D. Rennie; Ousmane Seidou. Continuous prediction of clay-bed stream erosion in response to climate model output for a small urban watershed. Hydrological Processes 2018, 32, 1104 -1119.
AMA StyleColin P. Brennan, Parna Parsapour-Moghaddam, Colin D. Rennie, Ousmane Seidou. Continuous prediction of clay-bed stream erosion in response to climate model output for a small urban watershed. Hydrological Processes. 2018; 32 (8):1104-1119.
Chicago/Turabian StyleColin P. Brennan; Parna Parsapour-Moghaddam; Colin D. Rennie; Ousmane Seidou. 2018. "Continuous prediction of clay-bed stream erosion in response to climate model output for a small urban watershed." Hydrological Processes 32, no. 8: 1104-1119.
Hamidreza Shirkhani; Abdolmajid Mohammadian; Ousmane Seidou; Hazim Qiblawey. Comparison of 2D triangular C-grid shallow water models. Computers & Fluids 2018, 161, 136 -154.
AMA StyleHamidreza Shirkhani, Abdolmajid Mohammadian, Ousmane Seidou, Hazim Qiblawey. Comparison of 2D triangular C-grid shallow water models. Computers & Fluids. 2018; 161 ():136-154.
Chicago/Turabian StyleHamidreza Shirkhani; Abdolmajid Mohammadian; Ousmane Seidou; Hazim Qiblawey. 2018. "Comparison of 2D triangular C-grid shallow water models." Computers & Fluids 161, no. : 136-154.
The Niger Inland Delta (NID) wetland comprises a large flooded area that plays an important role in the ecosystem services. This study provides a comprehensive understanding of the NID’s hydro-climatological functioning using water balance approach. After a clear description of the water budget’s elements specific to the NID catchment, a spatial and temporal dynamics of the annual flood across the NID over the period 2000–2009 was performed using data from satellite QuickSCAT and its associated sensor SeaWinds. The estimated areas were used along with observed discharge and remotely-sensed climatic data to quantitatively evaluate each water balance component. The results indicate: (i) a clear spatiotemporal of the flooded areas varied between 25,000 km2 in wet periods and 2000 km2 in dry periods; (ii) an average evapotranspiration loss of 17.31 km3 (43% of the total inflow) was assessed in the catchment; (iii) precipitation’s contribution to the NID’s budget totals 5.16 km3 (12.8% of the total inflow); and (iv) the contribution of return flow from irrigated fields totals 1.8 km3 (4.5% of the total inflow, among which 1.2 km3 are from Office du Niger) to the flooded areas, refined the NID’s water balance estimates. Knowledge gained on NID’s water balance analysis will be used to develop and calibrate hydrological models in the Niger Inland Delta of the basin.
Moussa Ibrahim; Dominik Wisser; Abdou Ali; Bernd Diekkrüger; Ousmane Seidou; Adama Mariko; Abel Afouda. Water Balance Analysis over the Niger Inland Delta-Mali: Spatio-Temporal Dynamics of the Flooded Area and Water Losses. Hydrology 2017, 4, 40 .
AMA StyleMoussa Ibrahim, Dominik Wisser, Abdou Ali, Bernd Diekkrüger, Ousmane Seidou, Adama Mariko, Abel Afouda. Water Balance Analysis over the Niger Inland Delta-Mali: Spatio-Temporal Dynamics of the Flooded Area and Water Losses. Hydrology. 2017; 4 (3):40.
Chicago/Turabian StyleMoussa Ibrahim; Dominik Wisser; Abdou Ali; Bernd Diekkrüger; Ousmane Seidou; Adama Mariko; Abel Afouda. 2017. "Water Balance Analysis over the Niger Inland Delta-Mali: Spatio-Temporal Dynamics of the Flooded Area and Water Losses." Hydrology 4, no. 3: 40.
This paper compares two data assimilation methods: state–parameter assimilation and output assimilation in improving streamflow forecasting using the Soil and Water Assessment Tool (SWAT) model. The state–parameter assimilation is performed by updating the stored water content and soil curve number with the extended Kalman filter (EKF); the output assimilation is carried out by updating the model output errors with autoregressive (AR) models. The performances of the two data assimilation techniques are compared for a dry year and a wet year, and it is found that whereas both methods significantly improve forecasting accuracy, their performances are influenced by the hydrological regime of the particular year. During the wet year, the average root-mean-square error (RMSE) for seven days forecasts is improved from 670.46 to 420.42 m3/s when output assimilation is used, and to 367.60 m3/s when state–parameter assimilation is used. The Nash–Sutcliffe coefficient (NSC) is improved from 0.63 to 0.85 and 0.88, respectively; the mean error (ME) is improved from −375.83 m3/s to −131.68 m3/s and −129.11 m3/s, respectively. For shorter forecast leads (1–4 days), the state–parameter assimilation outperforms output assimilation in both dry and wet years. For longer forecast leads (5–7 days), the output assimilation could provide better results in the wet year. A hybrid method that combines state–parameter assimilation and output assimilation performs very well in both dry and wet years according to all three indicators.
Leqiang Sun; Ousmane Seidou; Ioan Nistor. Data Assimilation for Streamflow Forecasting: State–Parameter Assimilation versus Output Assimilation. Journal of Hydrologic Engineering 2017, 22, 04016060 .
AMA StyleLeqiang Sun, Ousmane Seidou, Ioan Nistor. Data Assimilation for Streamflow Forecasting: State–Parameter Assimilation versus Output Assimilation. Journal of Hydrologic Engineering. 2017; 22 (3):04016060.
Chicago/Turabian StyleLeqiang Sun; Ousmane Seidou; Ioan Nistor. 2017. "Data Assimilation for Streamflow Forecasting: State–Parameter Assimilation versus Output Assimilation." Journal of Hydrologic Engineering 22, no. 3: 04016060.
Hamidreza Shirkhani; Abdolmajid Mohammadian; Ousmane Seidou. Changes in Flow hydrodynamics over the Gulf under a Changing Climate. International Symposium on Outfall Systems, 2016 2016, 1 .
AMA StyleHamidreza Shirkhani, Abdolmajid Mohammadian, Ousmane Seidou. Changes in Flow hydrodynamics over the Gulf under a Changing Climate. International Symposium on Outfall Systems, 2016. 2016; ():1.
Chicago/Turabian StyleHamidreza Shirkhani; Abdolmajid Mohammadian; Ousmane Seidou. 2016. "Changes in Flow hydrodynamics over the Gulf under a Changing Climate." International Symposium on Outfall Systems, 2016 , no. : 1.
Soheil Ghareh Aghaji Zare; Stephanie A. Moore; Colin D. Rennie; Ousmane Seidou; Habib Ahmari; Jarrod Malenchak. Boundary Shear Stress in an Ice-Covered River during Breakup. Journal of Hydraulic Engineering 2016, 142, 04015065 .
AMA StyleSoheil Ghareh Aghaji Zare, Stephanie A. Moore, Colin D. Rennie, Ousmane Seidou, Habib Ahmari, Jarrod Malenchak. Boundary Shear Stress in an Ice-Covered River during Breakup. Journal of Hydraulic Engineering. 2016; 142 (4):04015065.
Chicago/Turabian StyleSoheil Ghareh Aghaji Zare; Stephanie A. Moore; Colin D. Rennie; Ousmane Seidou; Habib Ahmari; Jarrod Malenchak. 2016. "Boundary Shear Stress in an Ice-Covered River during Breakup." Journal of Hydraulic Engineering 142, no. 4: 04015065.
This article provides multimodel and multiscenario projections of significant wave height for the Qatar coast. Significant wave height is used for practical purposes such as offshore and coastal structure design as well as transport of marine and lake pollutants. It is mainly driven by near-surface wind speed. In this paper, the outputs of the different general circulation models (GCMs), under RCP (representative concentration pathways) emission scenarios RCP26, RCP45, RCP60, and RCP85, were used to project the monthly probability distribution of wind speed over the coastal areas. The simulations are part of the Coupled Model Intercomparison Project-Phase5 (CMIP5) experiment. Two statistical downscaling techniques are used: the Quantile-Quantile transformation and nearest neighbor search. Observed wind speed at the Doha Airport station was used as a proxy for wind speed over Qatar coast. The GCM-simulated wind speeds as well as minimum and maximum temperatures were used as predictors while the observed wind speed is used as predictand in the nearest neighbor method. In the Quantile-Quantile approach, the GCM-simulated wind speed is the sole predictor. These two techniques were assessed by comparing the probability distribution of the observed and corrected (downscaled) wind-fields. Finally, the projected wind speed was used to estimate the expected changes in significant wave height under climate change. Results show that: (1) both methods can reasonably reproduce the shape of the daily wind-speed probability distribution function at the study location but the nearest neighbor method is inappropriate for extreme wind speed estimation in the future; and (2) the Quantile-Quantile method suggests that significant wave height can increase up to 40% on the Qatar coast.
Hamidreza Shirkhani; Ousmane Seidou; Abdolmajid Mohammadian; Hazim Qiblawey. Projection of Significant Wave Height in a Coastal Area under RCPs Climate Change Scenarios. Natural Hazards Review 2016, 17, 04015016 .
AMA StyleHamidreza Shirkhani, Ousmane Seidou, Abdolmajid Mohammadian, Hazim Qiblawey. Projection of Significant Wave Height in a Coastal Area under RCPs Climate Change Scenarios. Natural Hazards Review. 2016; 17 (1):04015016.
Chicago/Turabian StyleHamidreza Shirkhani; Ousmane Seidou; Abdolmajid Mohammadian; Hazim Qiblawey. 2016. "Projection of Significant Wave Height in a Coastal Area under RCPs Climate Change Scenarios." Natural Hazards Review 17, no. 1: 04015016.
Since the 90s, several studies were conducted to evaluate the predictability of the Sahelian rainy season and propose seasonal rainfall forecasts to help stakeholders to take the adequate decisions to adapt with the predicted situation. Unfortunately, two decades later, the forecasting skills remains low and forecasts have a limited value for decision making while the population is still suffering from rainfall interannual variability: this shows the limit of commonly used predictors and forecast approaches for this region. Thus, this paper developed and tested new predictors and new approaches to predict the upcoming seasonal rainfall amount over the Sirba watershed. Predictors selected through a linear correlation analysis were further processed using combined linear methods to identify those having high predictive power. Seasonal rainfall was forecasted using a set of linear and non-linear models. An average lag time up to eight months was obtained for all models. It is found that the combined linear methods performed better than non-linear, possibly because non-linear models require larger and better datasets for calibration. The R2, Nash and Hit rate score are respectively 0.53, 0.52, and 68% for the combined linear approach; and 0.46, 0.45, 61% for non-linear principal component analysis.
Abdouramane Gado Djibo; Harouna Karambiri; Ousmane Seidou; Ketvara Sittichok; Nathalie Philippon; Jean Emmanuel Paturel; Hadiza Moussa Saley. Linear and Non-Linear Approaches for Statistical Seasonal Rainfall Forecast in the Sirba Watershed Region (SAHEL). Climate 2015, 3, 727 -752.
AMA StyleAbdouramane Gado Djibo, Harouna Karambiri, Ousmane Seidou, Ketvara Sittichok, Nathalie Philippon, Jean Emmanuel Paturel, Hadiza Moussa Saley. Linear and Non-Linear Approaches for Statistical Seasonal Rainfall Forecast in the Sirba Watershed Region (SAHEL). Climate. 2015; 3 (3):727-752.
Chicago/Turabian StyleAbdouramane Gado Djibo; Harouna Karambiri; Ousmane Seidou; Ketvara Sittichok; Nathalie Philippon; Jean Emmanuel Paturel; Hadiza Moussa Saley. 2015. "Linear and Non-Linear Approaches for Statistical Seasonal Rainfall Forecast in the Sirba Watershed Region (SAHEL)." Climate 3, no. 3: 727-752.
Study regionThe Sirba watershed, Niger and Burkina Faso countries, West Africa.Study focusWater resources management in the Sahel region, West Africa, is extremely difficult because of high inter-annual rainfall variability. Unexpected floods and droughts often lead to severe humanitarian crises. Seasonal rainfall forecasting is one possible way to increase resilience to climate variability by providing information in advance about the amount of rainfall expected in each upcoming rainy season. Rainfall forecasting models often arbitrarily assume that rainfall is linked to predictors by a multiple linear regression with parameters that are independent of time and of predictor magnitude. Two probabilistic methods based on change point detection that allow the relationship to change according to time or rainfall magnitude were developed in this paper using normalized Bayes factors. Each method uses one of the following predictors: sea level pressure, air temperature and relative humidity. Method M1 allows for change in model parameters according to annual rainfall magnitude, while M2 allows for changes in model parameters with time. M1 and M2 were compared to the classical linear model with constant parameters (M3) and to the climatology (M4).New hydrological insights for the regionThe model that allows a change in the predictor–predictand relationship according to rainfall amplitude (M1) and uses air temperature as predictor is the best model for seasonal rainfall forecasting in the study area
Abdouramane Gado Djibo; Ousmane Seidou; Harouna Karambiri; Ketevera Sittichok; Jean Emmanuel Paturel; Hadiza Moussa Saley. Development and assessment of non-linear and non-stationary seasonal rainfall forecast models for the Sirba watershed, West Africa. Journal of Hydrology: Regional Studies 2015, 4, 134 -152.
AMA StyleAbdouramane Gado Djibo, Ousmane Seidou, Harouna Karambiri, Ketevera Sittichok, Jean Emmanuel Paturel, Hadiza Moussa Saley. Development and assessment of non-linear and non-stationary seasonal rainfall forecast models for the Sirba watershed, West Africa. Journal of Hydrology: Regional Studies. 2015; 4 ():134-152.
Chicago/Turabian StyleAbdouramane Gado Djibo; Ousmane Seidou; Harouna Karambiri; Ketevera Sittichok; Jean Emmanuel Paturel; Hadiza Moussa Saley. 2015. "Development and assessment of non-linear and non-stationary seasonal rainfall forecast models for the Sirba watershed, West Africa." Journal of Hydrology: Regional Studies 4, no. : 134-152.
Both climate and land use changes can influence water quality and quantity in different ways. Thus, for predicting future water quality and quantity trends, simulations should ideally account for both projected climate and land use changes. In this paper, land use projections and climate change scenarios were integrated with a hydrological model to estimate the relative impact of climate and land use projections on a suite of water quality and quantity endpoints for a Canadian watershed. Climatic time series representing SRES change scenario A2 were generated by downscaling the outputs of the Canadian Regional Climate Model (version 4.1.1) using a combination of quantile-quantile transformation and nearest neighbor search. The SWAT (Soil and Water Assessment Tool) model was used to simulate streamflow, nitrogen and phosphorus loading under different climate and land use scenarios. Results showed that a) climate change will drive up maximum monthly streamflow, nitrate loads, and organic phosphorus loads, while decreasing organic nitrogen and nitrite loads; and b) land use changes were found to drive the same water quality/quantity variables in the same direction as climate change, except for organic nitrogen loads, for which the effects of the two stressors had a reverse impact on loading.
A. El-Khoury; O. Seidou; D.R. Lapen; Z. Que; Abdolmajid Mohammadian; M. Sunohara; D. Bahram. Combined impacts of future climate and land use changes on discharge, nitrogen and phosphorus loads for a Canadian river basin. Journal of Environmental Management 2015, 151, 76 -86.
AMA StyleA. El-Khoury, O. Seidou, D.R. Lapen, Z. Que, Abdolmajid Mohammadian, M. Sunohara, D. Bahram. Combined impacts of future climate and land use changes on discharge, nitrogen and phosphorus loads for a Canadian river basin. Journal of Environmental Management. 2015; 151 ():76-86.
Chicago/Turabian StyleA. El-Khoury; O. Seidou; D.R. Lapen; Z. Que; Abdolmajid Mohammadian; M. Sunohara; D. Bahram. 2015. "Combined impacts of future climate and land use changes on discharge, nitrogen and phosphorus loads for a Canadian river basin." Journal of Environmental Management 151, no. : 76-86.
Hamidreza Shirkhani; Ousmane Seidou; Abdolmajid Mohammadian; Hazim Qiblawey. Wave climatology over Qatar Coastal Area Under Climate Change. Workshop on Mixing in Coastal Waters, Rivers & Atmosphere 2014, 1 .
AMA StyleHamidreza Shirkhani, Ousmane Seidou, Abdolmajid Mohammadian, Hazim Qiblawey. Wave climatology over Qatar Coastal Area Under Climate Change. Workshop on Mixing in Coastal Waters, Rivers & Atmosphere. 2014; ():1.
Chicago/Turabian StyleHamidreza Shirkhani; Ousmane Seidou; Abdolmajid Mohammadian; Hazim Qiblawey. 2014. "Wave climatology over Qatar Coastal Area Under Climate Change." Workshop on Mixing in Coastal Waters, Rivers & Atmosphere , no. : 1.
Land‐use conversion models elucidate the complexities and spatial interdependencies of components of land use systems and provide insights into future land‐use configurations. In this paper, the 2012–2050 future land‐use patterns in the South Nation (SN) River basin, located in eastern Ontario, Canada, were generated with a modified version of the CLUE model and a 2011 reference map. The SN is an example of a basin where some water quality endpoints have dropped below acceptable limits because of a combination of intensive agriculture, urbanization, and climate change. Five historical land‐use maps were used to identify the historical trends in generalized land‐use classes. Seven demographic and geographic factors were used to derive the spatial distribution of land suitability to each land‐use class. The methodology was first validated by simulating land‐use changes from 1991 to 2011 starting from the 1991 reference map, and comparing the simulated 2011 map to the 2011 reference map. Then, the 2012–2050 land‐uses were generated, assuming historical trends derived from historical reference maps will continue in the future. Environmental impacts of the projected land‐use changes were discussed. Les modèles de réaffectation des sols permettent de décortiquer les complexités et les interdépendances spatiales des éléments de base des systèmes d'occupation des sols et donnent un aperçu des formes d'occupation des sols à venir. Dans cet article, l'évolution des modes d'occupation des sols de 2012 à 2050 dans le bassin de la rivière Nation Sud (NS), situé dans l'est de l'Ontario, Canada, est décrite à partir d'une version modifiée du modèle CLUE (modèle de réaffectation des sols et de leurs effets) et d'une carte de référence de 2011. La NS constitue un exemple de bassin pour lequel certains paramètres de qualité de l'eau sont inférieurs au seuil acceptable en raison de l'effet cumulatif de l'agriculture intensive, de l'urbanisation et des changements climatiques. Cinq cartes historiques de l'occupation des sols ont permis d'identifier les tendances historiques des catégories générales. Sept facteurs démographiques et géographiques ont servi à déterminer la distribution spatiale de l'adéquation des sols pour chacune des catégories d'occupation. La méthodologie a été validée en simulant des changements d'occupation des sols de 1991 à 2011 à partir de la carte de référence de 1991, et en comparant la carte simulée de 2011 à la carte de référence de 2011. Puis, l'évolution de l'occupation des sols de 2012 à 2050 est simulée en tenant pour acquis que les tendances issues des cartes historiques persisteront. Il s'ensuit une discussion sur les impacts environnementaux des changements d'occupation des sols prévus.
Antoun El‐Khoury; Ousmane Seidou; David R. Lapen; Mark Sunohara; Que Zhenyang; Majid Mohammadian; Bahram Daneshfar. Prediction of land‐use conversions for use in watershed‐scale hydrological modeling: a Canadian case study. The Canadian Geographer/Le Géographe canadien 2014, 58, 499 -516.
AMA StyleAntoun El‐Khoury, Ousmane Seidou, David R. Lapen, Mark Sunohara, Que Zhenyang, Majid Mohammadian, Bahram Daneshfar. Prediction of land‐use conversions for use in watershed‐scale hydrological modeling: a Canadian case study. The Canadian Geographer/Le Géographe canadien. 2014; 58 (4):499-516.
Chicago/Turabian StyleAntoun El‐Khoury; Ousmane Seidou; David R. Lapen; Mark Sunohara; Que Zhenyang; Majid Mohammadian; Bahram Daneshfar. 2014. "Prediction of land‐use conversions for use in watershed‐scale hydrological modeling: a Canadian case study." The Canadian Geographer/Le Géographe canadien 58, no. 4: 499-516.
S Zare; S Moore; C Rennie; O Seidou; Habib Ahmari. Influence of river ice break-up on stream hydraulics and sediment transport. River Flow 2014 2014, 951 -959.
AMA StyleS Zare, S Moore, C Rennie, O Seidou, Habib Ahmari. Influence of river ice break-up on stream hydraulics and sediment transport. River Flow 2014. 2014; ():951-959.
Chicago/Turabian StyleS Zare; S Moore; C Rennie; O Seidou; Habib Ahmari. 2014. "Influence of river ice break-up on stream hydraulics and sediment transport." River Flow 2014 , no. : 951-959.
Mamadou Adama Sarr; Malicki Zoromé; Ousmane Seidou; Christopher Robin Bryant; Philippe Gachon. Recent trends in selected extreme precipitation indices in Senegal – A changepoint approach. Journal of Hydrology 2013, 505, 326 -334.
AMA StyleMamadou Adama Sarr, Malicki Zoromé, Ousmane Seidou, Christopher Robin Bryant, Philippe Gachon. Recent trends in selected extreme precipitation indices in Senegal – A changepoint approach. Journal of Hydrology. 2013; 505 ():326-334.
Chicago/Turabian StyleMamadou Adama Sarr; Malicki Zoromé; Ousmane Seidou; Christopher Robin Bryant; Philippe Gachon. 2013. "Recent trends in selected extreme precipitation indices in Senegal – A changepoint approach." Journal of Hydrology 505, no. : 326-334.