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Takele, et al.

                while runoff rose by an additional 9.84 mm/y (4.0%).   of LULC changes on groundwater recharge in the Dire
                Over the  entire  study period, groundwater  recharge   Dawa watershed, Ethiopia,  from 2000 to 2022.  The
                decreased  by  48.8  mm/y  (24.5%),  and  surface  runoff   analysis indicates significant transformations in LULC,
                increased by 42.8 mm/y (19.9%). Table 7 presents the   where agricultural land expanded by 114.7 km (52.6%),
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                results of the change analysis.                     built-up  areas  increased  by  17.8  km (79.2%),
                                                                                                           2
                  These findings underscore the increasing pressure on   shrublands decreased by 83.4 km (23.7%), and the
                                                                                                    2
                water resources in the Dire Dawa watershed, resulting   forested  regions declined  by 53.6 km (62.8%). The
                                                                                                        2
                from urbanization and agricultural expansion. The SWAT   hydrological modeling results demonstrate that these
                model demonstrates how changes in land cover, such   LULC  changes  substantially  reduced  groundwater
                as the loss of shrubland and forests, disrupt the natural   recharge by 48.8  mm/y  (24.5%) and increased
                water cycle, leading to reduced groundwater recharge   surface runoff by 42.8 mm/y (19.9%). These findings
                and increased surface runoff. To mitigate these effects,   underscore  the  urgent  need  for  sustainable  land  and
                sustainable land management strategies, including   water management strategies in the region. The SWAT
                ecosystem restoration and improved urban planning, are   model performance was assessed using key statistical
                crucial for restoring the water balance in the region.  metrics: R  values of 0.84 and 0.79, NSE values of 0.75
                                                                             2
                  The areal variation of groundwater recharge over the   and 0.72, and PBIAS values of −0.1 and −11 during the
                Dire  Dawa  watershed  is  significant,  with  the  highest   calibration and validation periods, respectively. Based
                recharge occurring in the eastern and northwestern sub-  on established evaluation  benchmarks, these results
                watersheds. In contrast, the central and northern regions   indicate  strong model performance,  characterized  by
                have experienced a rapid decline in recharge (Figure 6).   high R² and NSE values and low PBIAS.  The model
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                These results underscore the need for continuous, high-  effectively simulates the hydrological processes within
                resolution monitoring to understand spatial and temporal   the study area  and is well-suited  for projecting  river
                effects  of  land-use  changes  on  watershed  hydrology.   discharge and assessing future hydrological  changes
                Maintaining  a  balance  between  land  use  and  water   driven by land-use changes and climate variations.
                resources is critical  for the long-term  sustainability   The study by Jin et al.,  in the Jing River basin in
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                of the watershed.  Through adaptive  management     China,  demonstrated  that  LULC  changes  significantly
                strategies, the sustainability of groundwater resources   reduced runoff and altered hydrological cycle processes.
                can be ensured, and the ecological integrity of the area,   These  findings  align  with  those  of  the  present  study,
                as well as the way of life that relies on its water supply,   confirming that urbanization and deforestation contribute
                can be maintained.                                  to  increased  surface  runoff  and  reduced  groundwater
                                                                    recharge. Similarly, Lindle  et al.  investigated
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                4. Discussion                                       groundwater recharge in the Limpopo province, South
                                                                    Africa, and revealed that ephemeral river flow and LULC
                Using the SWAT model, this study examined the impacts   changes  significantly  influence  recharge  rates.  This
                                                                    supports the conclusion that land-use changes disrupt
                 Table 7. Average annual recharge and surface       natural recharge mechanisms, highlighting the need for
                 runoff changes due to land use and land cover      improved water resource management. In another related
                 changes (2022–2000)                                study, Mechal et al.  analyzed groundwater recharge in
                                                                                     13
                 Year                   Simulated values            the Ziway Lake watershed of the Ethiopian Rift using
                                Groundwater        Surface runoff   the SWAT model and concluded that recharge rates vary
                                  recharge                          significantly due to topographic and climatic influences.
                               mm/y       %        mm/y      %      This  finding  is  comparable  to  the  present  study’s
                                                                    results, which show that climate variability and terrain
                 2000          199.4      39.2     215.2    29.8    characteristics play pivotal roles in recharge patterns.
                 2010          158.9      31.2     248.1    34.4    Collectively, these studies reinforce the importance of
                 2022          150.7      29.6     258.0    35.8    integrating climate variability into land-use planning.
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                                           Changes                     The study by Bucha  et al.  in Ethiopia’s Lake
                 2010−2000     −40.6     −20.4     32.9     15.3    Chamo sub-basin observed increased surface runoff and
                 2022−2010      −8.2     −5.2       9.8      4.0    decreased infiltration due to land-use changes, aligning
                                                                    with the present study’s conclusions. Additional studies
                 2022−2000     −48.8     −24.5     42.8     19.9    support  these  findings.  For  example,  a  study  of  the



                Volume 22 Issue 6 (2025)                       114                           doi: 10.36922/AJWEP025180139
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