scholarly journals Water Footprint, Blue Water Scarcity, and Economic Water Productivity of Irrigated Crops in Peshawar Basin, Pakistan

Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1249
Author(s):  
Tariq Khan ◽  
Hamideh Nouri ◽  
Martijn J. Booij ◽  
Arjen Y. Hoekstra ◽  
Hizbullah Khan ◽  
...  
Keyword(s):  
Surface Water ◽  
Sugar Beet ◽  
Water Consumption ◽  
Water Scarcity ◽  
Water Footprint ◽  
Water Productivity ◽  
Green Water ◽  
Blue Water ◽  
Annual Consumption ◽  
Peshawar Basin

Pakistan possesses the fourth largest irrigation network in the world, serving 20.2 million hectares of cultivated land. With an increasing irrigated area, Pakistan is short of freshwater resources and faces severe water scarcity and food security challenges. This is the first comprehensive study on the water footprint (WF) of crop production in Peshawar Basin. WF is defined as the volume of freshwater required to produce goods and services. In this study, we assessed the blue and green water footprints (WFs) and annual blue and green water consumption of major crops (maize, rice, tobacco, wheat, barley, sugarcane, and sugar beet) in Peshawar Basin, Pakistan. The Global Water Footprint Assessment Standard (GWFAS) and AquaCrop model were used to model the daily WF of each crop from 1986 to 2015. In addition, the blue water scarcity, in the context of available surface water, and economic water productivity (EWP) of these crops were assessed. The 30 year average blue and green WFs of major crops revealed that maize had the highest blue and green WFs (7077 and 2744 m3/ton, respectively) and sugarcane had the lowest blue and green WFs (174 and 45 m3/ton, respectively). The average annual consumption of blue water by major crops in the basin was 1.9 billion m3, where 67% was used for sugarcane and maize, covering 48% of the cropland. The average annual consumption of green water was 1.0 billion m3, where 68% was used for wheat and sugarcane, covering 67% of the cropland. The WFs of all crops exceeded the global average. The results showed that annually the basin is supplied with 30 billion m3 of freshwater. Annually, 3 billion m3 of freshwater leaves the basin unutilized. The average annual blue water consumption by major crops is 31% of the total available surface water (6 billion m3) in the basin. Tobacco and sugar beet had the highest blue and green EWP while wheat and maize had the lowest. The findings of this study can help the water management authorities in formulating a comprehensive policy for efficient utilization of available water resources in Peshawar Basin.

scholarly journals WATER FOOTPRINT OF CROP PRODUCTION IN TEHRAN PROVINCE

2019 ◽  
Vol 17 ◽  
Author(s):  
Somayeh Rezaei Kalvani ◽  
Amir Hamzah Sharaai ◽  
Latifah Abd Manaf ◽  
Amir Hossein Hamidian
Keyword(s):  
Water Consumption ◽  
Water Scarcity ◽  
Crop Production ◽  
Agricultural Sector ◽  
Water Footprint ◽  
Water Productivity ◽  
Blue Water ◽  
Agricultural Water ◽  
Severe Water Stress ◽  
Tehran Province

Evaluation of supply chain of water consumption contributes toward reducing water scarcity, as it allows for increased water productivity in the agricultural sector. Water Footprint (WF) is a powerful tool for water management; it accounts for the volume of water consumption at high spatial and temporal resolution. The objective of this research is to investigate the water footprint trend of crop production in Tehran from 2008 to 2015 and to assess blue water scarcity in the agricultural sector. Water consumption of crop production was evaluated based on the WF method. Evapotranspiration was evaluated by applying the CROPWAT model. Blue water scarcity was evaluated using the blue water footprint-to-blue water availability formula. The results demonstrate that pistachio, cotton, walnut, almond, and wheat have a large WF, amounting to 11.111 m3/kg, 4,703 m3/kg, 3,932 m3/kg, 3,217 m3/kg, and 1.817 m3/kg, respectively. Agricultural blue water scarcity amounted to 0.6 (severe water stress class) (2015–2016). Agricultural water consumption in Tehran is unsustainable since it contributes to severe blue water scarcity. Tehran should reduce agricultural water scarcity by reducing the water footprint of the agricultural sector.

scholarly journals WATER FOOTPRINT OF CROP PRODUCTION IN TEHRAN PROVINCE

2019 ◽  
Vol 17 (10) ◽  
Author(s):  
Somayeh Rezaei Kalvani ◽  
Amir Hamzah Sharaai ◽  
Latifah Abd Manaf ◽  
Amir Hossein Hamidian
Keyword(s):  
Water Consumption ◽  
Water Scarcity ◽  
Crop Production ◽  
Agricultural Sector ◽  
Water Footprint ◽  
Water Productivity ◽  
Blue Water ◽  
Agricultural Water ◽  
Severe Water Stress ◽  
Tehran Province

Evaluation of supply chain of water consumption contributes toward reducing water scarcity, as it allows for increased water productivity in the agricultural sector. Water Footprint (WF) is a powerful tool for water management; it accounts for the volume of water consumption at high spatial and temporal resolution. The objective of this research is to investigate the water footprint trend of crop production in Tehran from 2008 to 2015 and to assess blue water scarcity in the agricultural sector. Water consumption of crop production was evaluated based on the WF method. Evapotranspiration was evaluated by applying the CROPWAT model. Blue water scarcity was evaluated using the blue water footprint-to-blue water availability formula. The results demonstrate that pistachio, cotton, walnut, almond, and wheat have a large WF, amounting to 11.111 m3/kg, 4,703 m3/kg, 3,932 m3/kg, 3,217 m3/kg, and 1.817 m3/kg, respectively. Agricultural blue water scarcity amounted to 0.6 (severe water stress class) (2015–2016). Agricultural water consumption in Tehran is unsustainable since it contributes to severe blue water scarcity. Tehran should reduce agricultural water scarcity by reducing the water footprint of the agricultural sector.

scholarly journals Water Footprint Assessment and Water-Energy-Food Nexus for Domestic and Institutional Sectors in Klang Valley, Malaysia: a Review

2018 ◽  
Vol 7 (4.35) ◽  
pp. 244
Author(s):  
Nurul Azmah Safie ◽  
M.A. Malek ◽  
Z. Z. Noor
Keyword(s):  
Water Consumption ◽  
Water Availability ◽  
Water Footprint ◽  
Green Water ◽  
World Population ◽  
Blue Water ◽  
Water Production ◽  
Kuala Lumpur ◽  
Reliable Technique ◽  
Klang Valley

Change in climate, increasing world population and industrialization have placed considerable stress on water availability at certain places. Water Footprint accounting is a reliable technique that can be used for a better water management. This study focuses on establishing a doable methodology on water footprint accounting and assessment for direct water consumption from domestic and institutional sectors located in an urbanized environment such as Klang Valley, Kuala Lumpur. It includes investigation of Water Footprint at domestic household, schools, colleges, terminals and offices in Klang Valley. The value of water consumption, water production and water pollution will be determined using Hoekstra’s approach for green water, blue water and grey water. In addition, findings from this study will be linked to two other elements namely energy and food. This link is named as Water-Energy-Food Nexus. This study will establish the quantity and criteria of Water-Energy-Food Nexus specifically tailored to domestic and institutional sectors in Klang Valley.

scholarly journals Limits to the world’s green water resources for food, feed, fiber, timber, and bioenergy

2019 ◽  
Vol 116 (11) ◽  
pp. 4893-4898 ◽  
Author(s):  
Joep F. Schyns ◽  
Arjen Y. Hoekstra ◽  
Martijn J. Booij ◽  
Rick J. Hogeboom ◽  
Mesfin M. Mekonnen
Keyword(s):  
Central America ◽  
Water Scarcity ◽  
Water Footprint ◽  
Limited Resource ◽  
Green Water ◽  
Human Society ◽  
Blue Water ◽  
Water Requirements ◽  
Water Flows ◽  
The Cost

Green water––rainfall over land that eventually flows back to the atmosphere as evapotranspiration––is the main source of water to produce food, feed, fiber, timber, and bioenergy. To understand how freshwater scarcity constrains production of these goods, we need to consider limits to the green water footprint (WFg), the green water flow allocated to human society. However, research traditionally focuses on scarcity of blue water––groundwater and surface water. Here we expand the debate on water scarcity by considering green water scarcity (WSg). At 5 × 5 arc-minute spatial resolution, we quantify WFg and the maximum sustainable level to this footprint (WFg,m), while accounting for green water requirements to support biodiversity. We then estimate WSg per country as the ratio of the national aggregate WFg to the national aggregate WFg,m. We find that globally WFg amounts to 56% of WFg,m, and overshoots it in several places, for example in countries in Europe, Central America, the Middle East, and South Asia. The sustainably available green water flows in these countries are mostly or fully allocated to human activities (predominately agriculture and forestry), occasionally at the cost of green water flows earmarked for nature. By ignoring limits to the growing human WFg, we risk further loss of ecosystem values that depend on the remaining untouched green water flows. We emphasize that green water is a critical and limited resource that should explicitly be part of any assessment of water scarcity, food security, or bioenergy potential.

scholarly journals Water Footprint Assessment of Thai Banana Production

2021 ◽  
Vol 12 (5) ◽  
pp. 151-156
Author(s):  
Cheerawit Rattanapan ◽  
◽  
Weerawat Ounsaneha
Keyword(s):  
Water Consumption ◽  
Water Footprint ◽  
Green Water ◽  
Blue Water ◽  
Grey Water ◽  
Banana Production ◽  
Banana Industry ◽  
The One ◽  
Banana Plantation

The aim of this research was to assess the water footprint level of Thai banana production. Firstly, the water consumption inventory of banana production was developed. The water consumptions in the banana farms and a case study of banana industry were collected based on the inventory. The results showed that the water consumption of banana plantation was 842.02 m3 including 443.50 m3 of green water, 398.52 m3 of blue water and not found grey water. Moreover, 1638.59 m3/rai was found in the one rai of banana plantation consisted of 863.06 m3/rai of green water and 775.53 m3/rai of blue water. From the finding of this study, the reduction approach of water footprint for banana production should be the reduction of watering the plant in the process of banana growing.

scholarly journals Water footprint analysis for the assessment of milk production in Brandenburg (Germany)

2010 ◽  
Vol 27 ◽  
pp. 65-70 ◽  
Author(s):  
K. Drastig ◽  
A. Prochnow ◽  
S. Kraatz ◽  
H. Klauss ◽  
M. Plöchl
Keyword(s):  
Climate Change ◽  
Milk Production ◽  
Water Demand ◽  
Water Footprint ◽  
Water Productivity ◽  
Green Water ◽  
Blue Water ◽  
Adaptation To Climate Change ◽  
Climate Change Effects ◽  
Time Period

Abstract. The working group "Adaptation to Climate Change" at the Leibniz-Institute for Agricultural Engineering Potsdam-Bornim (ATB) is introduced. This group calculates the water footprint for agricultural processes and farms, distinguished into green water footprint, blue water footprint, and dilution water footprint. The green and blue water demand of a dairy farm plays a pivotal role in the regional water balance. Considering already existing and forthcoming climate change effects there is a need to determine the water cycle in the field and in housing for process chain optimisation for the adaptation to an expected increasing water scarcity. Resulting investments to boost water productivity and to improve water use efficiency in milk production are two pathways to adapt to climate change effects. In this paper the calculation of blue water demand for dairy farming in Brandenburg (Germany) is presented. The water used for feeding, milk processing, and servicing of cows over the time period of ten years was assessed in our study. The preliminary results of the calculation of the direct blue water footprint shows a decreasing water demand in the dairy production from the year 1999 with 5.98×109 L/yr to a water demand of 5.00×109 L/yr in the year 2008 in Brandenburg because of decreasing animal numbers and an improved average milk yield per cow. Improved feeding practices and shifted breeding to greater-volume producing Holstein-Friesian cow allow the production of milk in a more water sustainable way. The mean blue water consumption for the production of 1 kg milk in the time period between 1999 to 2008 was 3.94±0.29 L. The main part of the consumed water seems to stem from indirect used green water for the production of feed for the cows.

Water Footprint

2017 ◽  
Author(s):  
Maite M. Aldaya ◽  
M. Ramón Llamas ◽  
Arjen Y. Hoekstra
Keyword(s):  
Water Management ◽  
Supply Chain ◽  
Life Cycle ◽  
Water Resources ◽  
Supply Chains ◽  
Water Use ◽  
Water Consumption ◽  
Water Footprint ◽  
Green Water ◽  
Blue Water

This is an advance summary of a forthcoming article in the Oxford Research Encyclopedia of Environmental Science. Please check back later for the full article. The water footprint concept broadens the scope of traditional national and corporate water accounting as it has been previously known. It highlights the ways in which water consuming and polluting activities relate to the structure of the global economy, opening a window of opportunity to increase transparency and improve water management along whole-production and supply chains. This concept adds a new dimension to integrated water resources management in a globalized world. The water footprint is a relatively recent indicator. Created in 2002, it aims to quantify the effect of consumption and trade on the use of water resources. Specifically, the water footprint is an indicator of freshwater use that considers both direct and indirect water use of a consumer or producer. For instance, the water footprint of a product refers to the volume of freshwater used to produce the product, tracing the origin of raw material and ingredients along their respective supply chains. This novel indirect component of water use in supply chains is, in many cases, the greatest share of water use, for example, in the food and beverage sector and the apparel industry. Water footprint assessment shows the full water balance, with water consumption and pollution components specified geographically and temporally and with water consumption specified by type of source (e.g., rainwater, groundwater, or surface water). It introduces three components: 1. The blue water footprint refers to the consumption of blue water resources (i.e., surface and groundwater including natural freshwater lakes, manmade reservoirs, rivers, and aquifers) along the supply chain of a product, versus the traditional and restricted water withdrawal measure. 2. The green water footprint refers to consumption through transpiration or evaporation of green water resources (i.e., soilwater originating from rainwater). Green water maintains natural vegetation (e.g., forests, meadows, scrubland, tundra) and rain-fed agriculture, yet plays an important role in most irrigated agriculture as well. Importantly, this kind of water is not quantified in most traditional agricultural water use analyses. 3. The grey water footprint refers to pollution and is defined as the volume of freshwater that is required to assimilate the load of pollutants given natural concentrations for naturally occurring substances and existing ambient water-quality standards. The water footprint concept has been incorporated into public policies and international standards. In 2011, the Water Footprint Network adopted the Water Footprint Assessment Manual, which provides a standardized method and guidelines. In 2014, the International Organization for Standardization adopted a life cycle-based ISO 14046 standard for the water footprint; it offers guidelines to integrate water footprint analysis in life-cycle assessment for products. In practice, water footprint assessment generally results in increased awareness of critical elements in a supply chain, such as hotspots that deserve most attention, and what can be done to improve water management in those hotspots. Water footprint assessment, including the estimation of virtual water trade, applied in different countries and contexts, is producing new data and bringing larger perspectives that, in many cases, lead to a better understanding of the drivers behind water scarcity.

scholarly journals A water footprint approach to guide water resource management in data-scarce regions: A case study for the Upper Ewaso Ng’iro Basin, Mount Kenya

Water SA ◽  
2021 ◽  
Vol 47 (3 July) ◽  
Author(s):  
Michael van der Laan ◽  
Sandra Eckert ◽  
Maya da Silva ◽  
John Annandale
Keyword(s):  
Water Resource Management ◽  
Water Footprint ◽  
Water Productivity ◽  
Green Water ◽  
Water Evaporation ◽  
Small Scale ◽  
Human Consumption ◽  
Selling Price ◽  
Blue Water ◽  
Small Component

Due to population growth and agricultural intensification, water scarcity is increasing in the Upper Ewaso Ng’iro Basin. Quantitative information is needed to improve the management of this resource, but is a challenge due to lack of hydrometeorological data. Using water footprint thinking, a pragmatic approach applying available information and simple assumptions was used to estimate blue and green water availability and consumption for different land uses and activities. Despite the attention it receives, flower production makes up a small component of the basin’s water footprint (1.4% of blue water consumed, roses used 0.73%), although the drastic impact of horticulture on low flows during dry periods is recognized. Surface water evaporation from irrigation dams containing captured floodwaters or pumped groundwater has a water footprint comparable to greenhouse horticultural production itself. Small-scale irrigation was estimated to use 71.4% of the blue water consumed, while total commercial horticultural production was estimated to use 8.2%. Direct human consumption was estimated at 3% and livestock and wildlife consumption at 4.2% of consumed blue water. Labour opportunities were almost 10 times higher for roses than for maize per hectare and per m3 of water consumed. Water productivity in terms of selling price was 128 times higher for 1 tonne of roses than for 1 tonne of maize. This approach can be used in data-poor regions to advance understanding between multiple stakeholders (such as between farmers, pastoralists and conservationists) for participatory management, and to better understand the basin’s water balance to estimate exploitable water resources.

scholarly journals Increasing efficiency in ethanol production: Water footprint and economic productivity of sugarcane ethanol under nine different water regimes in north-eastern Brazil

2015 ◽  
Vol 13 (2) ◽  
pp. e1203 ◽  
Author(s):  
Daniel Chico ◽  
Antonio D. Santiago ◽  
Alberto Garrido
Keyword(s):  
Ethanol Production ◽  
Water Footprint ◽  
Water Productivity ◽  
Green Water ◽  
Blue Water ◽  
Full Irrigation ◽  
Economic Productivity ◽  
Water Regimes ◽  
Eastern Brazil ◽  
North Eastern

<p>Ethanol production in Brazil has grown by 219% between 2001 and 2012, increasing the use of land and water resources. In the semi-arid north-eastern Brazil, irrigation is the main way for improving sugarcane production. This study aimed at quantifying water consumed in ethanol production from sugarcane in this region using the water footprint (WF) indicator and complementing it with an evaluation of the water apparent productivity (WAP). This way we were able to provide a measure of the crop´s physical and economic water productivity using, respectively, the WF and WAP concepts. We studied sugarcane cultivation under nine different water regimes, including rainfed and full irrigation. Data from a mill of the state of Alagoas for three production seasons were used. Irrigation influenced sugarcane yield increasing total profit per hectare and economic water productivity. Full irrigation showed the lowest WF, 1229 litres of water per litre of ethanol (L/L), whereas rainfed production showed the highest WF, 1646 L/L. However, the lower WF in full irrigation as compared to the rest of the water regimes implied the use of higher volumes of blue water per cultivated hectare. Lower water regimes yielded the lowest economic productivity, 0.72 US$/m<sup>3</sup> for rainfed production as compared to 1.11 US$/m<sup>3</sup> for full irrigation. Since economic revenues are increased with higher water regimes, there are incentives for the development of these higher water regimes. This will lead to higher general crop water and economic productivity at field level, as green water is replaced by blue water consumption.</p>

scholarly journals Agro-economic and socio-environmental assessments of food and virtual water trades of Iran

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fatemeh Karandish ◽  
Hamideh Nouri ◽  
Marcela Brugnach
Keyword(s):  
Food Security ◽  
Water Consumption ◽  
Crop Production ◽  
Water Footprint ◽  
Virtual Water ◽  
Environmental Indicators ◽  
Blue Water ◽  
Water Crisis ◽  
Food Trade ◽  
Water Limitations

AbstractEnding hunger and ensuring food security are among targets of 2030’s SDGs. While food trade and the embedded (virtual) water (VW) may improve food availability and accessibility for more people all year round, the sustainability and efficiency of food and VW trade needs to be revisited. In this research, we assess the sustainability and efficiency of food and VW trades under two food security scenarios for Iran, a country suffering from an escalating water crisis. These scenarios are (1) Individual Crop Food Security (ICFS), which restricts calorie fulfillment from individual crops and (2) Crop Category Food Security (CCFS), which promotes “eating local” by suggesting food substitution within the crop category. To this end, we simulate the water footprint and VW trades of 27 major crops, within 8 crop categories, in 30 provinces of Iran (2005–2015). We investigate the impacts of these two scenarios on (a) provincial food security (FSp) and exports; (b) sustainable and efficient blue water consumption, and (c) blue VW export. We then test the correlation between agro-economic and socio-environmental indicators and provincial food security. Our results show that most provinces were threatened by unsustainable and inefficient blue water consumption for crop production, particularly in the summertime. This water mismanagement results in 14.41 and 8.45 billion m3 y−1 unsustainable and inefficient blue VW exports under ICFS. “Eating local” improves the FSp value by up to 210% which lessens the unsustainable and inefficient blue VW export from hotspots. As illustrated in the graphical abstract, the FSp value strongly correlates with different agro-economic and socio-environmental indicators, but in different ways. Our findings promote “eating local” besides improving agro-economic and socio-environmental conditions to take transformative steps toward eradicating food insecurity not only in Iran but also in other countries facing water limitations.

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