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العنوان
Geographic Information Systems-Based Framework for Water–Energy–Food Assessments /
المؤلف
Azzam, Anas Mohamed Saad Mohamed.
هيئة الاعداد
باحث / أنس محمد سعد محمد عزام
مشرف / غادة محمود سامي
مناقش / فاطمة محمد حسن شلتوت
مناقش / ناجي علي حسن
تاريخ النشر
2023.
عدد الصفحات
147 P. :
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
الهندسة (متفرقات)
تاريخ الإجازة
1/1/2023
مكان الإجازة
جامعة عين شمس - كلية الهندسة - قسم الرى والهيدروليكا
الفهرس
Only 14 pages are availabe for public view

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Abstract

Governments and policymakers need concrete evidence that brings a comprehensive knowledge of the complexity and interconnectivity of factors affecting farm production, water consumption and energy consumption in order to improve evidence-based policy. Constructive intervention techniques could be developed as a result of the described process. Additionally, in order to implement a wide range of decisions that lead to more efficient resource usage, a broad spectrum of stakeholders and practitioners in the agriculture sector should be provided with, contribute to and utilize locations specific data.
The designed tool is the first attempt to connect the WEF nexus through the geographic information system on small-scale farming.to characterise and visualise the complex interactions and dependencies of the Water-Energy-Food nexus. The Model demonstrated that the needs for geospatial capabilities and the dynamic nature of WEF resources are compatible. In addition, the tool enables the user to assess several scenarios and include new data for other regions or a country. The usability of the tool is demonstrated with a case study in Moghra and West of West Minya regions, Egypt.
For this purpose, three sets of scenarios were described: The first scenario analyses the effect of area size, the second scenario discusses the effect of different crop types, while the third one addresses the impact of the location of the farm. The results of the first scenario showed the impact of the change in the farm area on water consumption, energy consumption and food production. The effect of the farm area on water consumption was linear. On the other hand, some parameters of the indirect energy consumption was nonlinear. The second scenario results showed the impact of the change in the crop types on water and energy consumption. Due to different crops, planting dates and growth durations the effect of the results was noteworthy. In addition the second scenario results highlight the importance of considering the interconnections between water, energy, and food systems in decision-making around resource management and sustainability. It also demonstrates the potential value of GIS-based frameworks for analyzing the WEF nexus. The third scenario results showed the effect of the location of the farm when the other inputs were fixed, due to the change of the values connected by the location like evapotranspiration, water quality and Depth of water .etc, The energy and water consumption have different outputs for the same crop.
Based on the results of the three scenarios, the model is a helpful tool for stakeholders to include their data in the model to design their scenarios to get quantitative and spatial information of the WEF nexus.
Further work is required to complementthe existing framework, including data for farming methods, offering storage and transportation requirements, and connecting the framework with remote sensing data to calculate the food yield. Modifications to the framework and tool would then be made to include the Climate change scenarios data to predict the effect on water and energy consumption on agriculture.
In addition, The frame does not contain an economic analysis, but adding one might give policymakers and stakeholders useful data on the financial effects of various practices in the water, energy, and food sectors. This knowledge may aid in directing investments and policy choices that support environmentally and financially responsible practices in the water, energy, and food nexus. Additionally, the development of future scenarios will enable in-depth analysis of the WEF nexus based on a temporal scale.