Assessment of urban groundwater vulnerability in arid areas: Case of Sidi Bouzid aquifer (central Tunisia)

Safa, Gammoudi; Chkir, Najiba; Boughattas, Nour El Houda; Hamdi, Maâmar; Soumaya, Arraouadi; Zouari, Kamel

doi:10.1016/j.jafrearsci.2020.103849

Cited by 18 publications

(4 citation statements)

References 53 publications

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“…Despite the semi-arid climate, agriculture in the area has taken advantage of the fertile plains to diversify its production and benefits from large reserves of underground water. But a strong urban demand for water [ 13 ] has aggravated the pressure on water resources leading to a reduction in irrigated areas [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

Farm production diversity and women’s dietary diversity: Evidence from central Tunisia

et al. 2022

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In the context of studies on the effects of agricultural production diversity, there are debates in the scientific community as to the level of diversification appropriate for improving dietary diversity. In Tunisia, agriculture is a strategic sector for the economy and a critical pillar of its food sovereignty. Using instrumental variable methods to account for endogeneity, we have estimated the association between agricultural production diversity and women’s dietary diversity among smallholder farming households in the Sidi Bouzid governorate (central Tunisia). Although we found a low level of agricultural production diversity and a fairly diversified diet among women, we observed a systematic weak positive association between five different indicators of agricultural production diversity and women’s dietary diversity. We observed a stronger positive association between women’s dietary diversity and women being more educated and households being wealthier. Neither diversity of food supplies in food markets nor market distance were associated with women’s dietary diversity, whereas we observed a higher level of consumption of some products (dairy) when they were produced on the farm.

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Section: Introductionmentioning

confidence: 99%

Farm production diversity and women’s dietary diversity: Evidence from central Tunisia

et al. 2022

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“…Groundwater resources are an important part of industry and agriculture in northern China. In arid and semiarid areas, groundwater resources are not only used for industrial and agricultural development but also play an important role in ecological and environmental construction [ 3 , 4 ]. Since the 1970s, owing to the steady development of the economy, water resources have been exploited on a large scale.…”

Section: Introductionmentioning

confidence: 99%

Chemical characteristics of groundwater and source identification in a coastal city

Miao

You-qin

et al. 2021

PLoS ONE

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A coastal city is studied in this paper. Based on 42 groundwater sampling points, a Piper diagram, the Shukarev classification, the Pearson correlation analysis, Gibbs plots and the ion proportional coefficient method are used to analyze the chemical characteristics and material source. The results show that the groundwater quality in the study area varies greatly from north to south. In the northern inland area (AREA I), the main anions and cations are H C O 3 - and Ca2+, and the hydrochemical characteristics are mainly HCO3 − Ca, HCO3 ⋅ SO4 − Ca and HCO3 − Mg. The ion concentration distribution is uniform, and the groundwater quality is good. By using Gibbs plots and the ion proportional coefficient method, the main source of ions is the dissolution of potassium feldspar, albite and carbonate rock. In contrast, in the southern coastal area (AREA II), the main anions and cations are Cl− and Na+, and the hydrochemical characteristics are mainly Cl − Na. The ion concentration distribution presents a strong spatial difference. The closer the groundwater sampling point is to seawater, the worse the overall groundwater quality. Evaporite dissolution, seawater intrusion, cation exchange effects and human activities are the main factors affecting the groundwater quality in this area. In conclusion, the groundwater quality in northern inland area (AREA I) is better, mainly controlled by the dissolution of rocks. The groundwater quality in southern coastal area (AREA II) changes greatly, mainly controlled by seawater.

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“…Некоторые работы направлены на исследование и обоснование критериев оценки 1 [10][11][12]. Важными вопросами являются анализ конкретных источников загрязнений внутри сельхозпредприятий [13][14][15] уровне 3 [24][25][26]. Также необходимо отметить, что почти все публикации на тему негативного воздействия сельхозпроизводства на окружающую среду направлены на оценку текущей ситуации и не рассматривают задачу прогнозирования [27][28][29].…”

Section: обзор литературыunclassified

A Forecast Model of the Complex Negative Impact of Agricultural Production Technologies on Water Bodies

Subbotin

Vasilev

2021

Engineering Technologies and Systems

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Introduction. The purpose of research is to develop a mathematical model for assessing and forecasting the complex negative impacts of agricultural technologies on water bodies. This problem is relevant because of the need to enlarge agricultural enterprises. The created model for forecasting is necessary to make an objective assessment, taking into account the complex effect of machine technologies applied to agricultural production and all biogenic elements that have a negative impact on water bodies. Materials and Methods. There was used the Spesivtsev – Drozdov method of logical-linguistic modeling, which allows giving expert knowledge a form mathematical model. Four experts were interviewed, and the obtained data became a subject of the regression analysis. The adequacy of the model was confirmed using the coefficient of determination and Fisher’s test. Results. A hierarchical system of 6 factors and 14 sub-factors was formed, including both the applied machine technologies and the management decisions on the matter. There was created a model containing a polynomial equation reflecting the influence of factors on the level of negative impact of technologies and equations that determine the influence of sub-factors on factors. Discussion and Conclusion. The created model can be used for practical purposes to support making decisions for planning, forecasting and selecting scenarios to modernize agricultural enterprises. The model equations make it possible to understand the significance of factors and sub-factors affecting the level of negative impact (diffuse load) on water bodies. This allows us to choose more effective ways to reduce the negative impact by choosing the most significant factors and/or sub-factors as objects of management.

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Assessment of urban groundwater vulnerability in arid areas: Case of Sidi Bouzid aquifer (central Tunisia)

Cited by 18 publications

References 53 publications

Farm production diversity and women’s dietary diversity: Evidence from central Tunisia

Farm production diversity and women’s dietary diversity: Evidence from central Tunisia

Chemical characteristics of groundwater and source identification in a coastal city

A Forecast Model of the Complex Negative Impact of Agricultural Production Technologies on Water Bodies

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