Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia
The quality of Little Akaki River in Addis Ababa (Ethiopia) is deteriorating significantly due to uncontrolled waste released from point and diffuse sources. In this study, pollution load from these sources was quantified by integrating chemical mass balance analysis (CMB) and the watershed model of...
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doaj-3eab8d4ccd744d9dbca6aa1ecf4acbd52020-11-25T03:49:57ZengMDPI AGSustainability2071-10502020-08-01127084708410.3390/su12177084Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, EthiopiaZelalem Abera Angello0Beshah M. Behailu1Jens Tränckner2Faculty of Agriculture and Environmental Sciences, University of Rostock, 18051 Rostock, GermanyWater Development Commission, Ministry of Water, Irrigation and Electricity (MoWIE), P.O. Box 1076/13 Addis Ababa, EthiopiaFaculty of Agriculture and Environmental Sciences, University of Rostock, 18051 Rostock, GermanyThe quality of Little Akaki River in Addis Ababa (Ethiopia) is deteriorating significantly due to uncontrolled waste released from point and diffuse sources. In this study, pollution load from these sources was quantified by integrating chemical mass balance analysis (CMB) and the watershed model of pollution load (PLOAD) for chemical oxygen demand, biochemical oxygen demand, total dissolved solid, total nitrogen, nitrate, and phosphate. Water samples monitored bimonthly at 15 main channel monitoring stations and 11-point sources were used for estimation of pollutant load using FLUX32 software in which the flow from the soil and water assessment tool (SWAT) model calibration, measured instantaneous flow, and constituent concentration were used as input. The SWAT simulated the flow quite well with a coefficient of determination (R<sup>2</sup>) of 0.78 and 0.82 and Nash-Sutcliff (NSE) of 0.76 and 0.80 during calibration and validation, respectively. The uncharacterized nonpoint source load calculated by integrating CMB and PLOAD showed that the contribution of nonpoint source prevails at the middle and downstream segments of the river. Maximum chemical oxygen demand (COD) load from uncharacterized nonpoint sources was calculated at the monitoring station located below the confluence of two rivers (near German Square). On the other hand, high organic pollution load, biochemical oxygen demand (BOD) load, was calculated at a station upstream of Aba Samuel Lake, whereas annual maximum total dissolved solid (TDS), total nitrogen (TN), and phosphate load (PO<sub>4</sub>-P) from the nonpoint source in Little Akaki River (LAR) were found at a river section near Kality Bridge and maximum NO<sub>X</sub> load was calculated at station near German Square. The integration of the CMB and PLOAD model in this study revealed that the use of area-specific pollutant export coefficients would give relatively accurate results than the use of mean and median ECf values of each land use.https://www.mdpi.com/2071-1050/12/17/7084chemical mass balancepollution load (PLOAD)nonpoint sourcesexport coefficientFLUX32 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Zelalem Abera Angello Beshah M. Behailu Jens Tränckner |
spellingShingle |
Zelalem Abera Angello Beshah M. Behailu Jens Tränckner Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia Sustainability chemical mass balance pollution load (PLOAD) nonpoint sources export coefficient FLUX32 |
author_facet |
Zelalem Abera Angello Beshah M. Behailu Jens Tränckner |
author_sort |
Zelalem Abera Angello |
title |
Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia |
title_short |
Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia |
title_full |
Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia |
title_fullStr |
Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia |
title_full_unstemmed |
Integral Application of Chemical Mass Balance and Watershed Model to Estimate Point and Nonpoint Source Pollutant Loads in Data-Scarce Little Akaki River, Ethiopia |
title_sort |
integral application of chemical mass balance and watershed model to estimate point and nonpoint source pollutant loads in data-scarce little akaki river, ethiopia |
publisher |
MDPI AG |
series |
Sustainability |
issn |
2071-1050 |
publishDate |
2020-08-01 |
description |
The quality of Little Akaki River in Addis Ababa (Ethiopia) is deteriorating significantly due to uncontrolled waste released from point and diffuse sources. In this study, pollution load from these sources was quantified by integrating chemical mass balance analysis (CMB) and the watershed model of pollution load (PLOAD) for chemical oxygen demand, biochemical oxygen demand, total dissolved solid, total nitrogen, nitrate, and phosphate. Water samples monitored bimonthly at 15 main channel monitoring stations and 11-point sources were used for estimation of pollutant load using FLUX32 software in which the flow from the soil and water assessment tool (SWAT) model calibration, measured instantaneous flow, and constituent concentration were used as input. The SWAT simulated the flow quite well with a coefficient of determination (R<sup>2</sup>) of 0.78 and 0.82 and Nash-Sutcliff (NSE) of 0.76 and 0.80 during calibration and validation, respectively. The uncharacterized nonpoint source load calculated by integrating CMB and PLOAD showed that the contribution of nonpoint source prevails at the middle and downstream segments of the river. Maximum chemical oxygen demand (COD) load from uncharacterized nonpoint sources was calculated at the monitoring station located below the confluence of two rivers (near German Square). On the other hand, high organic pollution load, biochemical oxygen demand (BOD) load, was calculated at a station upstream of Aba Samuel Lake, whereas annual maximum total dissolved solid (TDS), total nitrogen (TN), and phosphate load (PO<sub>4</sub>-P) from the nonpoint source in Little Akaki River (LAR) were found at a river section near Kality Bridge and maximum NO<sub>X</sub> load was calculated at station near German Square. The integration of the CMB and PLOAD model in this study revealed that the use of area-specific pollutant export coefficients would give relatively accurate results than the use of mean and median ECf values of each land use. |
topic |
chemical mass balance pollution load (PLOAD) nonpoint sources export coefficient FLUX32 |
url |
https://www.mdpi.com/2071-1050/12/17/7084 |
work_keys_str_mv |
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