Multi-variable calibration of hydrological model in the upper Omo-Gibe basin, Ethiopia

Nesru, Mudesir; Shetty, Amba; Nagaraj, M. K.

doi:10.1007/s11600-020-00417-0

Cited by 15 publications

(7 citation statements)

References 73 publications

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“…The model was calibrated with gauge discharge at the outlet of the basin and there is possibility of overfitting. Hence it is necessary to calibrating with multiple WBCs to avoid overfitting [33]. The model simulate temporal trend of five WBCs over 11 sub catchments for past twenty year period.…”

Section: Methodsmentioning

confidence: 99%

“…The pre-calibration helped to identify the major sensitivity parameters and then further tuned in the post-calibration. Now days the GIS based time series of regional AE data is used in data scarce scenarios to calibrate and validate the hydrological model [33,41,42]. In this study, the performance of models was evaluated with an open source GIS based global AE model.…”

Section: Model Calibration and Validationmentioning

confidence: 99%

“…The coarse spatial resolution of the data hinders its application to catchment scale studies. However, many researchers were incorporated GLEAM data to calibrate and validate the catchment scale hydrological models [33,[41][42][43]. In this study GLEAM v3.6a monthly AE data from 2001 to 2020 (i.e., 240 months) were used to validate sub catchment scale SWAT simulated AE.…”

Section: Calibration and Validationmentioning

confidence: 99%

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Simulation of Water Balance Components Using SWAT Model at Sub Catchment Level

Kothandaraman

Mohan

2023

Sustainability

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Simulation of Water Balance Components (WBCs) is import for sustainable water resources development and management. The Soil Water and Assessment Tool (SWAT) is a semi-distributed hydrological model to estimate the WBCs by forcing the hydrological response unit (HRU) and meteorological variables. The developed model simulates five WBCs viz. surface runoff, lateral flow, percolation, actual evapotranspiration and soil water at sub catchment level. To demonstrate the model compatibility a case study taken over Chittar catchment, Tamilnadu, India. The catchment was divided in to 11 sub catchments. The ten year interval LULC (i.e., 2001 and 2011), twenty year daily meteorological data (i.e., 2001–2020) and time invariant soil and slope data were used in developing the water balance model. Developed model was calibrated and evaluated with river gauge monthly discharging using SUFI-2 algorithm in SWAT-CUP. The model calibration performed in two stage i.e., pre-calibration (2001–2003) and post-calibration (2004–2010). The model performance was evaluated with unseen river gauge discharging data (i.e., 2011–2015). Then, results of statistical outputs for the model were coefficient of determination (R2) is 0.75 in pre-calibration, 0.94 in post-calibration and 0.81 in validation. Further strengthen the model confidential level the sub catchments level monthly actual evapotranspiration were compared with gridded global data GLEAM v3.6a. Finally, the developed model was simulate the five WBCs whereas, surface runoff, lateral flow, percolation, actual evapotranspiration and soil water at sub catchment level during 2001–2020. The sub catchment level WBCs trend helps to make fast and accurate decision. At all 11 sub catchments a long drought was observed during 2016–2018 due to failure of northeast monsoon. The WBCs were directly reinforced by their north east monsoon which gives the major portion of rainfall i.e., September to December. Hence all the WBCs were directly correlated with rainfall with or without time lag. By understanding the sub catchment level of monthly WBCs over the Chittar catchment is useful for land and water resource management.

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Section: Methodsmentioning

confidence: 99%

Section: Model Calibration and Validationmentioning

confidence: 99%

Section: Calibration and Validationmentioning

confidence: 99%

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Simulation of Water Balance Components Using SWAT Model at Sub Catchment Level

Kothandaraman

Mohan

2023

Sustainability

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“…Mô hình SWAT được chạy với bộ dữ liệu lượng mưa CHIRPS để đánh giá khả năng sử dụng dữ liệu mưa CHIRPS phục vụ mô phỏng dòng chảy trên lưu vực thông qua quá trình hiệu chỉnh và kiểm định mô hình. Việc hiệu chỉnh mô hình được thực hiện tự động với công cụ SWAT-CUP sử dụng thuật toán SUFI2 [13][14][15][16]. SWAT-CUP cho phép hiệu chỉnh, kiểm định, phân tích độ nhạy và độ bất định của mô hình [17][18][19][20].…”

Section: Chỉ Số Thống Kê đơN Vị Phương Trình đIểm Hoàn Hảounclassified

Nghiên cứu khả năng sử dụng số liệu mưa vệ tinh độ phân giải cao trong mô phỏng dòng chảy trên lưu vực sông thiếu số liệu

Bảo Chung,

Anh Phương,

Thị Diệu Hằng

et al. 2023

VNJHM

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Hiện nay sản phẩm mưa CHIRPS đang được sử dụng rộng rãi trong mô phỏng dòng chảy trên các lưu vực sông thiếu số liệu quan trắc. Tuy nhiên, để sử dụng các sản phẩm mưa này cho một lưu vực sông cụ thể, độ tin cậy và chính xác của chúng cần phải được đánh giá. Nghiên cứu đã so sánh mưa CHIRPS với mưa trạm để đánh giá độ tin cậy và sử dụng nó làm đầu vào cho mô hình SWAT mô phỏng quá trình dòng chảy trên lưu vực. Công cụ SWAT-CUP được sử dụng để thực hiện quá trình hiệu chỉnh mô hình tự động và tối ưu hóa các tham số mô hình. Kết quả nghiên cứu cho thấy lượng mưa trung bình tháng CHIRPS có tương quan ở mức chấp nhận được với lượng mưa tại các trạm (hệ số tương quan lớn hơn 0,6). Kết quả mô phỏng dòng chảy trên lưu vực sông La Plata sử dụng mưa CHIRPS làm đầu vào cho kết quả tương đối tốt ở giai đoạn hiệu chỉnh (R 2 = 0,76, NSE = 0,66 và PBIAS = 23,18%) và chấp nhận được ở giai đoạn kiểm định (R 2 = 0,63, NSE = 0,57 và PBIAS = 20,39%). Nghiên cứu này đã cho thấy tiềm năng to lớn của mưa CHIRPS trong mô phỏng quá trình dòng chảy trên các lưu vực sông sông thiếu/không có số liệu quan trắc.

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“…The pairwise comparisons of measured and predicted discharges are commonly utilized to assess model performance in calibration and validation periods using numerical performance indicators such as the coefficient of determination (R 2 ), the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), and graphical method [51][52][53][54][55]. Some authors have modified the pairwise comparisons to account for measurement uncertainties [25,56].…”

Section: Introductionmentioning

confidence: 99%

Testing the Robustness of a Physically-Based Hydrological Model in Two Data Limited Inland Valley Catchments in Dano, Burkina Faso

et al. 2020

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This study investigates the robustness of the physically-based hydrological model WaSiM (water balance and flow simulation model) for simulating hydrological processes in two data sparse small-scale inland valley catchments (Bankandi-Loffing and Mebar) in Burkina Faso. An intensive instrumentation with two weather stations, three rain recorders, 43 piezometers, and one soil moisture station was part of the general effort to reduce the scarcity of hydrological data in West Africa. The data allowed us to successfully parameterize, calibrate (2014–2015), and validate (2016) WaSiM for the Bankandi-Loffing catchment. Good model performance concerning discharge in the calibration period (R2 = 0.91, NSE = 0.88, and KGE = 0.82) and validation period (R2 = 0.82, NSE = 0.77, and KGE = 0.57) was obtained. The soil moisture (R2 = 0.7, NSE = 0.7, and KGE = 0.8) and the groundwater table (R2 = 0.3, NSE = 0.2, and KGE = 0.5) were well simulated, although not explicitly calibrated. The spatial transposability of the model parameters from the Bankandi-Loffing model was investigated by applying the best parameter-set to the Mebar catchment without any recalibration. This resulted in good model performance in 2014–2015 (R2 = 0.93, NSE = 0.92, and KGE = 0.84) and in 2016 (R2 = 0.65, NSE = 0.64, and KGE = 0.59). This suggests that the parameter-set achieved in this study can be useful for modeling ungauged inland valley catchments in the region. The water balance shows that evaporation is more important than transpiration (76% and 24%, respectively, of evapotranspiration losses) and the surface flow is very sensitive to the observed high interannual variability of rainfall. Interflow dominates the uplands, but base flow is the major component of stream flow in inland valleys. This study provides useful information for the better management of soil and scarce water resources for smallholder farming in the area.

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Multi-variable calibration of hydrological model in the upper Omo-Gibe basin, Ethiopia

Cited by 15 publications

References 73 publications

Simulation of Water Balance Components Using SWAT Model at Sub Catchment Level

Simulation of Water Balance Components Using SWAT Model at Sub Catchment Level

Nghiên cứu khả năng sử dụng số liệu mưa vệ tinh độ phân giải cao trong mô phỏng dòng chảy trên lưu vực sông thiếu số liệu

Testing the Robustness of a Physically-Based Hydrological Model in Two Data Limited Inland Valley Catchments in Dano, Burkina Faso

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