Effects of changing climate on the groundwater potential: A case of Chongwe and Rufunsa Districts along the Chongwe River Catchment, Zambia

Kanema, Ernest Mukuni; Gumindoga, Webster

doi:10.1016/j.pce.2022.103192

Cited by 3 publications

(4 citation statements)

References 41 publications

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“…Globally/regionally simulated precipitation has been widely used in analyses of weather/hydrological extremes and assessments of historical and future changes in precipitation at global and/or regional scales [73,74]. Since precipitation is related to water resource management [75], flood and drought risk mitigation [76], ecological security [77], economic development [78], and other related fields, it is important that we have good estimates of how likely this precipitation is to occur and whether that likelihood is changing.…”

Section: Discussionmentioning

confidence: 99%

Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia

Xie,

Guo,

Meng

et al. 2023

Remote Sensing

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Earth system models (ESMs) are important tools for assessing the historical characteristics and predicting the future characteristics of precipitation, yet the quantitative understanding of how these land–atmospheric coupling models perform in simulating precipitation characteristics remains limited. This study conducts a comprehensive evaluation of precipitation changes simulated by 43 ESMs in CMIP5 and 32 ESMs in CMIP6 in Arid Central Asia (ALL) and its two sub-regions for 1959–2005 with reference to Climate Research Unit (CRU) data, and predicts precipitation changes for 2054–2100. Our analyses suggest the following: (a) no single model consistently outperformed the others in all aspects of simulated precipitation variability (annual averages, long-term trends, and climatological monthly patterns); (b) the CMIP5 and CMIP6 model simulations tended to overestimate average annual precipitation for most of the ALL region, especially in the Xinjiang Uygur Autonomous Region of China (XJ); (c) most model simulations projected a stronger increasing trend in average annual precipitation; (d) although all the model simulations reasonably captured the climatological monthly precipitation, there was an underestimation; (e) compared to CMIP5, most CMIP6 model simulations exhibited an enhanced capacity to simulate precipitation across all aspects, although discrepancies persisted in individual sub-regions; (f) it was confirmed that the multi-model ensemble mean (MME) provides a more accurate representation of the three aspects of precipitation compared to the majority of single-model simulations. Lastly, the values of precipitation predicted by the more efficient models across the ALL region and its sub-regions under the different scenarios showed an increasing trend in most seasons. Notably, the strongest increasing trend in precipitation was seen under the high-emission scenarios.

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Section: Discussionmentioning

confidence: 99%

Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia

Xie,

Guo,

Meng

et al. 2023

Remote Sensing

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“…Drainage density is inversely proportional to permeability, as it is influenced by a highly developed drainage system that enhances runoff and reduces infiltration (Chowdhury et al, 2008;Kanema and Gumindoga, 2022). The region has a poor drainage system.…”

Section: Drainage Densitymentioning

confidence: 99%

“…Given the hidden aspect of groundwater, the assessment of its potentiality requires the consideration of multiple factors that influence its occurrence (Boitt et al, 2023;Kanema and Gumindoga, 2022). According to studies by (Arulbalaji et al, 2019; Dar et al, 2021;Mallick et al, 2019;Pande et al, 2021), these factors can be topographical, geological, or hydrological.…”

Section: Introductionmentioning

confidence: 99%

Mapping Groundwater Potential Zones with GIS-RS-AHP Under Climate Change: Case of Mostaganem Plateau, Northwest Algeria

Chemirik,

Baahmed,

Nedjai

et al. 2024

Ecol. Eng. Environ. Technol.

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In arid regions with increasing water needs due to growing populations and agriculture, heightened by climate change, groundwater arises as a crucial asset. This research evaluated climate change influence on groundwater potential zones (GPZs) during 2000 and 2014, within the Mostaganem plateau's alluvial aquifer in Algeria, using a methodology that integrates analytical hierarchy process (AHP), remote sensing (RS) and geographic information system (GIS). Forecasts for 2030 and 2050 were conducted using the QGIS MOLUSCE plugin. Findings reveal a (30.29%) decrease in zones of moderate potential, the vanishing of high potential sectors, alongside a (7.53%) and a (22.1%) rise in fair potential and low potential, respectively, from 2000 to 2014. Between 2014 and 2030, fair and moderate potential decrease by 6.62% and 0.48%, while low potential zones see a 7.47% increase. These shifts are linked to changes in rainfall distribution, and land use land cover (LULC), notably intensive agriculture of herbaceous crops. Slight changes are anticipated between 2030 and 2050, possibly due to the onset of a resilience equilibrium from 2030 onwards. These findings are crucial as a preliminary investigation, highlighting the necessity of optimal groundwater management.

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“…Notwithstanding, groundwater is not immune to climate change and can suffer its effects both directly and indirectly. However, it is still difficult to quantify these effects, mainly due to the lack of data and information on aquifer systems, especially in developing countries (Ali et al, 2022;Kanema and Gumindoga, 2022).…”

Section: Groundwater Management In the State Of Piauí (Brazil) On The...mentioning

confidence: 99%

Groundwater management in the state of Piauí (Brazil) on the climate change context

Monteiro

Cabral

2023

Rev. Bras. Ciênc. Ambient.

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This article aims to evaluate the current state of groundwater management in the state of Piauí, considering the scenario of climate change and its adverse effects on aquifers. The analysis is based on the socioeconomic reality of the state, the availability and demand of groundwater resources, and the level of management and the possible impacts of climate change on the state. What is noticeable is that for the projected scenarios of climate change in the state, groundwater becomes a strategic source in mitigating the effects of climate change; however, the diagnosis produced shows that the state has already been using this resource too much, but without an efficient control of the public power. This combination tends toward a pessimistic view of both the state and groundwater in relation to climate change.

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Effects of changing climate on the groundwater potential: A case of Chongwe and Rufunsa Districts along the Chongwe River Catchment, Zambia

Cited by 3 publications

References 41 publications

Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia

Historical Evolution and Future Trends of Precipitation Based on Integrated Datasets and Model Simulations of Arid Central Asia

Mapping Groundwater Potential Zones with GIS-RS-AHP Under Climate Change: Case of Mostaganem Plateau, Northwest Algeria

Groundwater management in the state of Piauí (Brazil) on the climate change context

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