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Assessing the vulnerability of groundwater to pollution under different land management scenarios using the modified DRASTIC model in Bahir Dar City, Ethiopia Full text
2025
Ashagrie, W. A. | Tarkegn, T. G. | Ray, R. L. | Tefera, G. W. | Demessie, S. F. | Tsegaye, L. | Adem, Anwar A. | Worqlul, A. W. | van Oel, P. R. | Adgo, E. | Haileslassie, Amare | Dile, Y. T. | Mekonnen, M. | Chukalla, A. D.
Assessing the vulnerability of groundwater to pollution under different land management scenarios using the modified DRASTIC model in Bahir Dar City, Ethiopia Full text
2025
Ashagrie, W. A. | Tarkegn, T. G. | Ray, R. L. | Tefera, G. W. | Demessie, S. F. | Tsegaye, L. | Adem, Anwar A. | Worqlul, A. W. | van Oel, P. R. | Adgo, E. | Haileslassie, Amare | Dile, Y. T. | Mekonnen, M. | Chukalla, A. D.
Groundwater is one of the most vital natural resources worldwide. However, shallow aquifers are prone to contamination, posing significant risks to human health, livestock, agricultural productivity, and economic growth. Identifying appropriate land management strategies is critical for mitigating groundwater vulnerability to pollution. This study evaluates groundwater vulnerability to pollution under various land management scenarios using the modified DRASTIC model in Bahir Dar City, Ethiopia. The analysis incorporates multiple parameters within the ArcGIS environment, including depth to water table, net recharge, aquifer characteristics, soil properties, topography, vadose zone, hydraulic conductivity, and land use/land cover (LULC). In this study, LULC was added as an additional parameter to enhance the DRASTIC model. Groundwater vulnerability to pollution was evaluated under four distinct land management scenarios: baseline, agricultural expansion, urbanization, and reforestation. A single-parameter sensitivity analysis and a map removal sensitivity analysis were performed to identify the most influential parameters affecting groundwater vulnerability under the baseline LULC conditions. The result revealed that groundwater vulnerability in Bahir Dar City under baseline conditions is primarily influenced by LULC and net recharge. The areal average groundwater vulnerability to pollution index at the baseline scenario was 184. Agricultural expansion and urbanization increased the areal average groundwater vulnerability to pollution by 4.9 % and 1.6 %, respectively, while the reforestation scenario reduced it by 1.6 %. These findings highlight the critical role of effective land management practices, such as reforestation, in mitigating groundwater susceptibility to pollution. The results also indicate that groundwater vulnerability to pollution varies across different geological formations. Therefore, given the influence of geological variability on groundwater vulnerability, incorporating geological considerations into urban expansion planning is essential for minimizing the risk of groundwater contamination.
Show more [+] Less [-]Assessing the vulnerability of groundwater to pollution under different land management scenarios using the modified DRASTIC model in Bahir Dar City, Ethiopia Full text
2025
Ashagrie, Wasie Asmamaw | Tarkegn, Temesgen Gashaw | Ray, Ram Lakhan | Tefera, Gebrekidan Worku | Demessie, Sintayehu Fetene | Tsegaye, Lewoye | Adem, Anwar Assefa | Worqlul, Abeyou W. | van Oel, Pieter R. | Adgo, Enyew | Haileslassie, Amare | Dile, Yihun T. | Mekonnen, Mulatie | Chukalla, Abebe D.
Groundwater is one of the most vital natural resources worldwide. However, shallow aquifers are prone to contamination, posing significant risks to human health, livestock, agricultural productivity, and economic growth. Identifying appropriate land management strategies is critical for mitigating groundwater vulnerability to pollution. This study evaluates groundwater vulnerability to pollution under various land management scenarios using the modified DRASTIC model in Bahir Dar City, Ethiopia. The analysis incorporates multiple parameters within the ArcGIS environment, including depth to water table, net recharge, aquifer characteristics, soil properties, topography, vadose zone, hydraulic conductivity, and land use/land cover (LULC). In this study, LULC was added as an additional parameter to enhance the DRASTIC model. Groundwater vulnerability to pollution was evaluated under four distinct land management scenarios: baseline, agricultural expansion, urbanization, and reforestation. A single-parameter sensitivity analysis and a map removal sensitivity analysis were performed to identify the most influential parameters affecting groundwater vulnerability under the baseline LULC conditions. The result revealed that groundwater vulnerability in Bahir Dar City under baseline conditions is primarily influenced by LULC and net recharge. The areal average groundwater vulnerability to pollution index at the baseline scenario was 184. Agricultural expansion and urbanization increased the areal average groundwater vulnerability to pollution by 4.9 % and 1.6 %, respectively, while the reforestation scenario reduced it by 1.6 %. These findings highlight the critical role of effective land management practices, such as reforestation, in mitigating groundwater susceptibility to pollution. The results also indicate that groundwater vulnerability to pollution varies across different geological formations. Therefore, given the influence of geological variability on groundwater vulnerability, incorporating geological considerations into urban expansion planning is essential for minimizing the risk of groundwater contamination.
Show more [+] Less [-]Improved tools for estimation of ammonia emission from field-applied animal slurry: Refinement of the ALFAM2 model and database Full text
2025 | 2024
Hafner, Sasha D. | Pedersen, Johanna | Fuß, Roland | Kamp, Jesper Nørlem | Dalby, Frederik Rask | Amon, Barbara | Pacholski, Andreas | Adamsen, Anders Peter S. | Sommer, Sven Gjedde
Ammonia volatilization from animal slurry applied to agricultural fields reduces nitrogen use efficiency in agriculture and pollutes the environment. This work presents new versions of a model and database focused on this route of N loss. The public ALFAM2 database (https://github.com/AU-BCE-EE/ALFAM2-data) was expanded with ammonia emission and ancillary measurements for >700 additional field plots. The ALFAM2 model (https://github.com/AU-BCE-EE/ALFAM2, https://zenodo.org/records/13312251) was extended with the addition of an ammonia sink for more plausible predictions over extended durations and to better reflect the expected reduction in emission rate several days after slurry application. A new parameter set was developed for the model taking into account the newly available measurement data. Model efficiency improved to 0.67 for the parameter estimation subset (0.52 for cross-validation) and mean absolute error was around 10% of applied total ammoniacal nitrogen. As in earlier versions, predicted emission is sensitive to application method, slurry dry matter and pH, air temperature, and wind speed. A collection of parameter sets for estimating uncertainty in average predictions was developed using a bootstrap approach. Predicted uncertainty is not trivial, and is high for some variable combinations, highlighting the challenge of making predictions based on available measurement data. Still, this work has resulted in more accurate, comprehensive, transparent, and flexible tools for emission inventory and related work on ammonia loss from field-applied slurry.
Show more [+] Less [-]Strong sustainability in the SEEA and the wider indicator landscape Full text
2025
Strong sustainability in the SEEA and the wider indicator landscape Full text
2025
The System of Environmental-Economic Accounting (SEEA) remains neutral when it comes to the weak and strong sustainability worldviews. However, although its manuals do not contain any references to these concepts, it can support both through physical and monetary accounting. Given that strong sustainability is better suited to monitor environmental sustainability, we provide insights into how SEEA can contribute to promote the use of strong sustainability indicators.From a strong sustainability perspective, environmental sustainability requires identifying elements of natural capital to be preserved (critical natural capital) and at the level at which they should be preserved (reference values). SEEA and its manuals do not explicitly define the first element, but the concept of 'reference values' is implicitly embedded with the 'ecosystem condition accounts' introduced in the Ecosystem Accounting (EA) manual. As such, EA is the most relevant element of the SEEA in terms of advancing strong sustainability accounting. Given that ecosystem condition accounting is still in its early stages and that ecosystem condition is currently challenging to determine, three actions are proposed to better integrate strong sustainability in SEEA. First, the next revision of the SEEA Central Framework should be more explicit in how SEEA supports weak and strong sustainability. It should also consider how SEEA is linked to the wider indicator landscape (including the Sustainable Development Goals and the Global Biodiversity Framework). Second, ecosystem condition accounting needs to be further developed, as the more abundant extent accounts cannot capture the quality of ecosystems. Third, ecosystem condition accounting could build on other strong sustainability indicator initiatives such as Planetary Boundaries or the Environmental Sustainability Gap framework that have consistently integrated reference values in the accounting practices. These actions would provide additional means to interpret environmental sustainability beyond the direction of progress as is often the case.
Show more [+] Less [-]Strong sustainability in the SEEA and the wider indicator landscape Full text
2025
The System of Environmental-Economic Accounting (SEEA) remains neutral when it comes to the weak and strong sustainability worldviews. However, although its manuals do not contain any references to these concepts, it can support both through physical and monetary accounting. Given that strong sustainability is better suited to monitor environmental sustainability, we provide insights into how SEEA can contribute to promote the use of strong sustainability indicators. From a strong sustainability perspective, environmental sustainability requires identifying elements of natural capital to be preserved (critical natural capital) and at the level at which they should be preserved (reference values). SEEA and its manuals do not explicitly define the first element, but the concept of 'reference values' is implicitly embedded with the 'ecosystem condition accounts' introduced in the Ecosystem Accounting (EA) manual. As such, EA is the most relevant element of the SEEA in terms of advancing strong sustainability accounting. Given that ecosystem condition accounting is still in its early stages and that ecosystem condition is currently challenging to determine, three actions are proposed to better integrate strong sustainability in SEEA. First, the next revision of the SEEA Central Framework should be more explicit in how SEEA supports weak and strong sustainability. It should also consider how SEEA is linked to the wider indicator landscape (including the Sustainable Development Goals and the Global Biodiversity Framework). Second, ecosystem condition accounting needs to be further developed, as the more abundant extent accounts cannot capture the quality of ecosystems. Third, ecosystem condition accounting could build on other strong sustainability indicator initiatives such as Planetary Boundaries or the Environmental Sustainability Gap framework that have consistently integrated reference values in the accounting practices. These actions would provide additional means to interpret environmental sustainability beyond the direction of progress as is often the case.
Show more [+] Less [-]Strong sustainability in the SEEA and the wider indicator landscape Full text
2025
Usubiaga-liaño, Arkaitz | Selomane, Odirilwe | Comte, Adrien
The System of Environmental-Economic Accounting (SEEA) remains neutral when it comes to the weak and strong sustainability worldviews. However, although its manuals do not contain any references to these concepts, it can support both through physical and monetary accounting. Given that strong sustainability is better suited to monitor environmental sustainability, we provide insights into how SEEA can contribute to promote the use of strong sustainability indicators. From a strong sustainability perspective, environmental sustainability requires identifying elements of natural capital to be preserved (critical natural capital) and at the level at which they should be preserved (reference values). SEEA and its manuals do not explicitly define the first element, but the concept of 'reference values' is implicitly embedded with the 'ecosystem condition accounts' introduced in the Ecosystem Accounting (EA) manual. As such, EA is the most relevant element of the SEEA in terms of advancing strong sustainability accounting. Given that ecosystem condition accounting is still in its early stages and that ecosystem condition is currently challenging to determine, three actions are proposed to better integrate strong sustainability in SEEA. First, the next revision of the SEEA Central Framework should be more explicit in how SEEA supports weak and strong sustainability. It should also consider how SEEA is linked to the wider indicator landscape (including the Sustainable Development Goals and the Global Biodiversity Framework). Second, ecosystem condition accounting needs to be further developed, as the more abundant extent accounts cannot capture the quality of ecosystems. Third, ecosystem condition accounting could build on other strong sustainability indicator initiatives such as Planetary Boundaries or the Environmental Sustainability Gap framework that have consistently integrated reference values in the accounting practices. These actions would provide additional means to interpret environmental sustainability beyond the direction of progress as is often the case.
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