Application of Satellite-Based Precipitation Estimates to Rainfall-Runoff Modelling in a Data-Scarce Semi-Arid Catchment

Najmaddin, Peshawa M.; Whelan, Mick; Balzter, Heiko

doi:10.3390/cli5020032

Cited by 27 publications

(16 citation statements)

References 60 publications

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“…If required, crop-specific ETp can be calculated from ET o using crop-specific resistance terms in the PM equation or, more generally, using crop coefficients [9] which account for differences in vegetation canopy characteristics such as leaf area index, canopy height and stomatal resistance. ETa can be calculated from ETp (or ET o ) if soil moisture content can be estimated, often via a linear reduction in ETa:ETp between a threshold moisture content and the permanent wilting point [13].…”

Section: Discussionmentioning

confidence: 99%

“…The PM method is widely considered to be the most reliable indirect method [9,42,43]. However, its main shortcoming is that it requires a complete weather data set (net radiation flux density, temperature, relative humidity and wind speed) which is not always available for many areas [13,32]. The other methods have fewer meteorological data requirements [32] and are, hence, widely applied-particularly those based solely on temperature.…”

Section: Reference Evapotranspiration (Et O ) Estimation Methodsmentioning

confidence: 99%

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Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data

2017

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Estimating daily evapotranspiration is challenging when ground observation data are not available or scarce. Remote sensing can be used to estimate the meteorological data necessary for calculating reference evapotranspiration ET o . Here, we assessed the accuracy of daily ET o-G (PM) was adopted as the main benchmark. HS underestimated ET o by 2%-3% (R 2 = 0.86 to 0.90; RMSE = 0.95 to 1.2 mm day −1 at different stations). JH and MB overestimated ET o by 8% to 40% (R 2 = 0.85 to 0.92; RMSE from 1.18 to 2.18 mm day −1 ). The annual average values of ET o estimated using RS data and ground-based data were similar to one another reflecting low bias in daily estimates. They ranged between 1153 and 1893 mm year −1 for ET o-G and between 1176 and 1859 mm year −1 for ET o-RS for the different stations. Our results suggest that ET o-RS (HS) can yield accurate and unbiased ET o estimates for semi-arid regions which can be usefully employed in water resources management.

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Section: Discussionmentioning

confidence: 99%

Section: Reference Evapotranspiration (Et O ) Estimation Methodsmentioning

confidence: 99%

Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data

2017

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“…The city has a semi-arid continental climate, a rainy cool winter and dry and warm summer. The seasonal distribution of the precipitation in the study area varies and falls mostly as rain in winter and autumn [26]. The average annual precipitation is 380.26 ± 108.88 mm.…”

Section: Study Areamentioning

confidence: 99%

Applying Built-Up and Bare-Soil Indices from Landsat 8 to Cities in Dry Climates

Rasul

Balzter

Ibrahim

et al. 2018

Land

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172

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Arid and semi-arid regions have different spectral characteristics from other climatic regions. Therefore, appropriate remotely sensed indicators of land use and land cover types need to be defined for arid and semi-arid lands, as indices developed for other climatic regions may not give plausible results in arid and semi-arid regions. For instance, the normalized difference built-up index (NDBI) and normalized difference bareness index (NDBaI) are unable to distinguish between built-up areas and bare and dry soil that surrounds many cities in dry climates. This paper proposes the application of two newly developed indices, the dry built-up index (DBI) and dry bare-soil index (DBSI) to map built-up and bare areas in a dry climate from Landsat 8. The developed DBI and DBSI were applied to map urban areas and bare soil in the city of Erbil, Iraq. The results show an overall classification accuracy of 93% (κ = 0.86) and 92% (κ = 0.84) for DBI and DBSI, respectively. The results indicate the suitability of the proposed indices to discriminate between urban areas and bare soil in arid and semi-arid climates.

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“…The study area climate has a semi-arid and an average (700 to 800) mm annual rainfall, most of which falls from November to April (Najmaddin et al, 2017a). Therefore, the period from November to April is defined as a high-flow period, during which the discharge at its highest, and the period from May to October is defined as a low-flow period, during which the discharge is at its lowest for the year (Najmaddin et al, 2017b).…”

Section: Site Descriptionmentioning

confidence: 99%

Self-Purification Capacity and Sag Curve of Qalachwalan-Leseer Zab River, in Sulaimanyah Governorate/Iraq

Ahmad

Barzinji

2019

Journal of Soil Sciences and Agricultural Engineering

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Qalachwalan-Lesser Zab River receives varieties of domestic and chemical wastes from settlements, recreational and agricultural lands that located around the river. Those possibly affect the capacity of natural self-purification. Water samples have been collected from five different points between Qalachwalan to Qaladza district and sag curve were applied to analyzed water quality parameters for the periods of August 2016 to May 2017. The results showed that the dissolved oxygen values varied from 4.81 mg L -1 during August to 10.35 mg L -1 in February, biochemical oxygen demand values ranged from 1.47 mg L -1 during November to 8 mg L -1 in March along the river. The statistical analysis between predicted and measured dissolved oxygen and biochemical oxygen demand showed that the less value of root mean square errors was 1.09 mg L -1 for the month of April and the highest value was 3.92 mg L -1 for dissolved oxygen during May and the less value for biochemical oxygen demand was 0.77 mg L -1 for August and the highest value 5.08 mg L -1 for March. The predicted dissolved oxygen overestimated measured dissolved oxygen by percent bias 12.5% for April and 74.9% for May and the predicted biochemical oxygen demand overestimated measured biochemical oxygen demand as well by 23.4% for August and 98.9 % for February. The purification factor varied from 0.03 to 4.45 for all over the periods. The results, indicating that the river was temporarily polluted and has a poor capacity for self-purify particularly during April that the average factor was 0.14.

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Application of Satellite-Based Precipitation Estimates to Rainfall-Runoff Modelling in a Data-Scarce Semi-Arid Catchment

Cited by 27 publications

References 60 publications

Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data

Estimating Daily Reference Evapotranspiration in a Semi-Arid Region Using Remote Sensing Data

Applying Built-Up and Bare-Soil Indices from Landsat 8 to Cities in Dry Climates

Self-Purification Capacity and Sag Curve of Qalachwalan-Leseer Zab River, in Sulaimanyah Governorate/Iraq

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