Water footprint analysis of different livelihood strategies of farmers in the middle reaches of Heihe River

2014 ◽  
Vol 22 (3) ◽  
pp. 356-362 ◽  
Author(s):  
Liqiong ZHANG ◽  
Xueyan ZHAO ◽  
Fang GUO ◽  
Wenmei LI
Keyword(s):  
Water Footprint ◽  
Livelihood Strategies ◽  
Heihe River ◽  
Footprint Analysis

Life cycle-based water footprint analysis of ceramic filter for point-of-use water purification in remote areas

2021 ◽  
pp. 147424
Author(s):  
Xiaohan Yang ◽  
Guohe Huang ◽  
Peng Zhang ◽  
Chunjiang An ◽  
Yao Yao ◽  
...  
Keyword(s):  
Life Cycle ◽  
Water Purification ◽  
Water Footprint ◽  
Ceramic Filter ◽  
Remote Areas ◽  
Point Of Use ◽  
Footprint Analysis

scholarly journals Water footprint analysis of temporary crops produced in São Carlos (SP), Brazil

RBRH ◽  
2020 ◽  
Vol 25 ◽  
Author(s):  
Alan Reis ◽  
Alessandra Campos dos Santos ◽  
Jamil Alexandre Ayach Anache ◽  
Eduardo Mario Mendiondo ◽  
Edson Cezar Wendland
Keyword(s):  
Crop Yields ◽  
Water Footprint ◽  
Statistical Tests ◽  
Correlation Coefficients ◽  
Mean Values ◽  
Monotonic Trend ◽  
Significant Difference ◽  
Footprint Analysis ◽  
Global Mean ◽  
Total Average

ABSTRACT This paper aims to evaluate the water footprint (WF) of temporary crops produced in the municipality of São Carlos, Brazil, between 2004 and 2017. The WF calculation was developed following the Water Footprint Network approach (WFN) and using CROPWAT model. The results were compared with the world averages and other studies that analyzed the same crops. We applied statistical tests to verify data behavior over the years and calculated correlation coefficients between WF components and crop yields. The results indicated low values of total WF for sugarcane (total average of 166.2 m3 ton-1) and tomato (total average of 97.2 m3 ton-1), while rice (total average of 5212.4 m3 ton-1) and groundnut (total average of 3865.8 m3 ton-1) showed the opposite. In general, WF components do not follow a monotonic trend, a normal distribution can be assumed and there is a statistically significant difference when comparing our findings with global mean values. These results ratify the importance of local WF studies, especially in Brazil, considering its importance in global agricultural market and the respective use of water resources.

Energy and carbon coupled water footprint analysis for Kraft wood pulp paper production

2018 ◽  
Vol 96 ◽  
pp. 253-261 ◽  
Author(s):  
Xiaotian Ma ◽  
Xiaoxu Shen ◽  
Congcong Qi ◽  
Liping Ye ◽  
Donglu Yang ◽  
...  
Keyword(s):  
Water Footprint ◽  
Wood Pulp ◽  
Paper Production ◽  
Pulp Paper ◽  
Footprint Analysis

Energy and carbon coupled water footprint analysis for straw pulp paper production

2019 ◽  
Vol 233 ◽  
pp. 23-32 ◽  
Author(s):  
Xiaotian Ma ◽  
Yijie Zhai ◽  
Ruirui Zhang ◽  
Xiaoxu Shen ◽  
Tianzuo Zhang ◽  
...  
Keyword(s):  
Water Footprint ◽  
Paper Production ◽  
Pulp Paper ◽  
Footprint Analysis

scholarly journals Water Footprint Analysis In Krueng Aceh Watershed, Aceh Province, Indonesia

2017 ◽  
Vol 6 (3) ◽  
pp. 86-96
Author(s):  
Purwana Satriyo ◽  
Hidayat Pawitan ◽  
Yanuar J Purwanto ◽  
Yayat Hidayat
Keyword(s):  
Urban Area ◽  
Food Consumption ◽  
Water Footprint ◽  
Virtual Water ◽  
World Population ◽  
Total Water ◽  
Watershed Area ◽  
Rural And Urban ◽  
Footprint Analysis ◽  
Per Capita

Water is one the most important natural resources to maintain human life and all other living things in the earth. Around 65% water were consumed for drinking purpose, while others were used for daily needs. The increasing amount of work on water use and scarcity in relation to consumption and trade has led to the emergence of the field of Water Footprint (WF). Climate change, rural development, world population growth and industrialization have placed considerable stress on the local availability of water resources. Thus, it is necessary to perform study in order to analyze water demands and supply for sustainable water availability. Recently, water footprint analysis has been widely draw attention to the scientists and engineers. The water footprint analysis is closely related with virtual water from which it is defined as total water volume used for consumption and trade. The main aim of this present study is to analyze and assess the total water requirement based on community water footprint in Krueng Aceh watershed area. The virtual water used in this study are dominant consumption food commodities. The result shows that water footprint per capita in Krueng Aceh watershed area was 674.52 m3/year. Water footprint for rural and urban population were 608.27 m3/year and 740.77 m3/year respectively. The WF of food consumption in urban area of Krueng Aceh watershed is 690.74 m3 / capita / year and 584.22 m3/capita/year or average 625.69 m3/capita/year, while for non-food, the WF per capita is 24.05 m3/year in rural or 32.46% of the total water footprint. Non-food consumption per capita in Krueng Aceh and in urban areas is 50.03 m3/year or 67.53%. The total water demand based on the water footprint is 378,906,655.05 m3 in 2015 which is consumed by most of residents in the Krueng Aceh watershed area. Furthermore, total WF in rural and urban area are 193,489,128.95 m3 and 185,417,526.10 m3 respectively.

scholarly journals Water footprint analysis as an indicator of sustainability in nonconventional drinking water treatment systems

DYNA ◽  
2020 ◽  
Vol 87 (213) ◽  
pp. 140-147
Author(s):  
Víctor Alfonso Cerón Hernández ◽  
Isabel Cristina Hurtado ◽  
Isabel Cristina Bolaños ◽  
Apolinar Figueroa Casas ◽  
Inés Restrepo Tarquino
Keyword(s):  
Drinking Water ◽  
Cultural Context ◽  
Water Footprint ◽  
Drinking Water Treatment ◽  
Climatic Conditions ◽  
Water Production ◽  
Drinking Water Production ◽  
Footprint Analysis ◽  
Cultural Component ◽  
The Impact

The impact of multiple-stage filtration (MSF) was determined in two study systems. Water footprint (WF) was estimated with all its components and their results allowed the identification of those responsible for the environmental impact associated with drinking water production. Climatic conditions of high and low precipitation and socio-cultural context were considered. Results showed technicalshortcomings, such as the presence of fissures that generate losses and the contribution of polluting substances in the effluent from filter washing. Socio-economic limitations increase the WF. Water management can be improved by studying the WF components and their relationships with the socio-cultural component.

Water footprint analysis of second-generation bioethanol in Taiwan

2015 ◽  
Vol 101 ◽  
pp. 271-277 ◽  
Author(s):  
Chung Chia Chiu ◽  
Wei-Jung Shiang ◽  
Chiuhsiang Joe Lin ◽  
Ching-Huei Wang ◽  
Der-Ming Chang
Keyword(s):  
Second Generation ◽  
Water Footprint ◽  
Second Generation Bioethanol ◽  
Footprint Analysis
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