Towards water sustainability by 2030 in the Rio Bravo/Grande Region, Mexico

2014 ◽  
pp. 59-68
2011 ◽  
Author(s):  
Elisabeth M. Jenicek ◽  
Natalie R. Myers ◽  
Laura Curvey ◽  
Sarah B. Nemeth
Keyword(s):  

2015 ◽  
Author(s):  
Ronald Kwena ◽  
Dr. Makori Moronge

2020 ◽  
Vol 13 (5) ◽  
pp. 818-826
Author(s):  
Ranjan Kumar Panda ◽  
A. Sai Sabitha ◽  
Vikas Deep

Sustainability is defined as the practice of protecting natural resources for future use without harming the nature. Sustainable development includes the environmental, social, political, and economic issues faced by human being for existence. Water is the most vital resource for living being on this earth. The natural resources are being exploited with the increase in world population and shortfall of these resources may threaten humanity in the future. Water sustainability is a part of environmental sustainability. The water crisis is increasing gradually in many places of the world due to agricultural and industrial usage and rapid urbanization. Data mining tools and techniques provide a powerful methodology to understand water sustainability issues using rich environmental data and also helps in building models for possible optimization and reengineering. In this research work, a review on usage of supervised or unsupervised learning algorithms in water sustainability issues like water quality assessment, waste water collection system and water consumption is presented. Advanced technologies have also helped to resolve major water sustainability issues. Some major data mining optimization algorithms have been compared which are used in piped water distribution networks.


2020 ◽  
Author(s):  
Timothy Beach ◽  
◽  
Byron Smith ◽  
Lara Sanchez Morales ◽  
William S. Pratt

Animals ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 1047
Author(s):  
Pier Paolo Miglietta ◽  
Federica De Leo ◽  
Benedetta Coluccia ◽  
Yari Vecchio ◽  
Fabian Capitanio

Dairy products play a significant role in the human diet, but they are often associated with high freshwater resource depletion. In Italy, the dairy sector represents more than 12% of the total turnover of the agri-food sector. Trentino Alto Adige is the first Italian region in terms of number of dairy farms, but it does not register a quantitatively consistent dairy production. Notwithstanding, it is characterized mostly by small-scale farms whose strengths are the Protected Designations of Origin and typical mountain productions. The present study aims at: (i) accounting for the virtual water VW of the main dairy products (milk, butter and cheese) produced in Trentino Alto Adige; (ii) estimating the renewable water resources based on the water flow assessment of the study area; (iii) assessing water sustainability comparing the virtual water consumption of the dairy sector at a regional level to the water availability. The findings show that the consumptive virtual water related to dairy production represents about 1% of the water availability in Trentino Alto Adige. Italy’s domestic dairy production is expanding to meet the growing demand, but the expansion of dairy farming in water-stressed regions should be avoided, preferring instead suitable mountain regions where small-scale farms represent a lively entrepreneurial substrate.


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