Malaysian water footprint accounts: Blue and green water footprint of rice cultivation and the impact of water consumption in Malaysia

Author(s):  
M. G. Nor Fadillah ◽  
M. H. Marlia
2018 ◽  
Vol 7 (4.35) ◽  
pp. 244
Author(s):  
Nurul Azmah Safie ◽  
M.A. Malek ◽  
Z. Z. Noor

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.


2013 ◽  
Vol 17 (10) ◽  
pp. 3983-4000 ◽  
Author(s):  
T. H. Bakken ◽  
Å. Killingtveit ◽  
K. Engeland ◽  
K. Alfredsen ◽  
A. Harby

Abstract. Since the report from IPCC on renewable energy (IPCC, 2012) was published; more studies on water consumption from hydropower have become available. The newly published studies do not, however, contribute to a more consistent picture on what the "true" water consumption from hydropower plants is. The dominant calculation method is the gross evaporation from the reservoirs divided by the annual power production, which appears to be an over-simplistic calculation method that possibly produces a biased picture of the water consumption of hydropower plants. This review paper shows that the water footprint of hydropower is used synonymously with water consumption, based on gross evaporation rates. This paper also documents and discusses several methodological problems when applying this simplified approach (gross evaporation divided by annual power production) for the estimation of water consumption from hydropower projects. A number of short-comings are identified, including the lack of clarity regarding the setting of proper system boundaries in space and time. The methodology of attributing the water losses to the various uses in multi-purpose reservoirs is not developed. Furthermore, a correct and fair methodology for handling water consumption in reservoirs based on natural lakes is needed, as it appears meaningless that all the evaporation losses from a close-to-natural lake should be attributed to the hydropower production. It also appears problematic that the concept is not related to the impact the water consumption will have on the local water resources, as high water consumption values might not be problematic per se. Finally, it appears to be a paradox that a reservoir might be accorded a very high water consumption/footprint and still be the most feasible measure to improve the availability of water in a region. We argue that reservoirs are not always the problem; rather they may contribute to the solution of the problems of water scarcity. The authors consider that an improved conceptual framework is needed in order to calculate the water footprint from hydropower projects in a more reasonable way.


Author(s):  
Truong Thanh Canh ◽  
Thuy-Trang Thi Nguyen ◽  
Anh Hoang Le

The research conducted a survey of the water consumption in Ho Chi Minh City through the consumption of products from agriculture, industry and domestic. The research identified green water, blue water and grey water footprints in consuming products. Then personal water footprints were calculated and evaluated. The results showed that the average personal water footprint in district 3 was 1556 m3/year (77.15% for agriculture, 15.59% for industry and 7.26% for domestic), district 10 was 1587 m3/year (77.58% for agriculture, 15.17% for industry and 7.25% domestic), Nha Be district is 1681 m3/year (80.48% for agriculture, 12.97% for industry and 6.55% for domestic) and Binh Chanh district was 1744 m3/year (81.57% for agriculture, 11.88% for industry and 6.55% for domestic). In the individual components of the water footprint, water footprints in consuming agricultural products accounted for the major percentage and determined the personal water footprint. The results showed that the individual water footprints in countryside areas were higher than those in urban areas. Depending on the amount and forms of each individual's consumption, their eating habit and daily activities, and the sexes, the personal water footprints were different. The perception and behavior of individuals' water consumption also significantly influenced the overall personal water footprints.


2020 ◽  
Vol 42 ◽  
pp. e67
Author(s):  
Eliane Aparecida Antunes Fagundes ◽  
José Dantas Neto ◽  
Vicente Paulo Rodrigues Silva ◽  
Domingos Sávio Barbosa ◽  
Vera Lúcia Antunes Lima

Water footprint (WF) is an indicator of fresh water consumption that considers in its calculation the used water volume during the production process. The research objective was to evaluatecotton, corn and soybean crops WF at the São Lourenço-MT sub-basin area. The water consumption was quantified in Green Water Footprint (WFGreen) and Gray Water Footprint (WFGray). The WFGreen of each crop was calculated by the evapotranspiration value throughout the crop growing period. The WFGray was counted separately for a group of nine agrochemicals. In the current scenario there is sustainability in the sub-basin of the São Lourenço river, but with the agricultural current area expansion rate, in 2025 there will be no such sustainability.


Author(s):  
Cheerawit Rattanapan ◽  
◽  
Weerawat Ounsaneha

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.


Author(s):  
Maite M. Aldaya ◽  
M. Ramón Llamas ◽  
Arjen Y. Hoekstra

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.


Atmosphere ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 934 ◽  
Author(s):  
Artur Saraiva ◽  
Pedro Presumido ◽  
José Silvestre ◽  
Manuel Feliciano ◽  
Gonçalo Rodrigues ◽  
...  

In the Mediterranean region, climate change is likely to generate an increase in water demand and the deterioration of its quality. The adoption of precision viticulture and the best available techniques aiming at sustainable production, minimizing the impact on natural resources and reducing production costs, has therefore been a goal of winegrowers. In this work, the water footprint (WFP) in the wine sector was evaluated, from the vineyard to the bottle, through the implementation of a methodology based on field experiments and life cycle assessment (LCA) on two Portuguese case studies. Regarding direct water footprint, it ranged from 366 to 899 L/FU (0.75 L bottle), with green water being the most significant component, representing more than 50% of the overall water footprint. The approach used in the current study revealed that although more than 97.5% of the water footprint is associated with vineyard, the winery stage is responsible for more than 75% of the global warming potential indicator. A linear correlation between the carbon footprint and the indirect blue water footprint was also observed for both case studies. Climate change is expected to cause an earlier and prolonged water stress period, resulting in an increase of about 40% to 82% of blue WFP.


Author(s):  
Julio Cesar Pascale Palhares ◽  
Taisla Inara Novelli ◽  
Marcela Morelli

 This study evaluated the impact of diet as a mitigation action to improve the water efficiency of lactating cows. An intensive pasture dairy system was considered to calculate direct and indirect water use. Group 1 was fed with a diet containing 20% crude protein content. The crude protein content of Group 2 was adjusted according to milk production, ranging from 23% to 14.5%. The total water footprints had a value of 502.4 L kg-1 fat protein corrected milk for Group 1 and 451.2 L kg-1 fat protein corrected milk for Group 2. The diet with the adjusted protein provided a reduction of 10% in the footprint value. The green water footprint was the most representative of consumption in the total value of the water footprint, 86.4% and 85.5% for Groups 1 and 2, respectively. The animals in Group 1 had a mean total drinking water consumption of 83.3 L animal-1 day-1 and those of Group 2, 80.4 L animal-1 day-1. This study demonstrated that high crude protein content in the diet provided a greater water footprint, therefore lower water efficiency. The proposed nutritional practice proved viable as a water-mitigating action, making the ratio of liters of water per liter of milk more advantageous. The results of this study could be considered a validation of a nutritional mitigation practice to improve water efficiency and could be used as best management for the dairy supply chain.


2020 ◽  
Vol 12 (17) ◽  
pp. 6904
Author(s):  
Xiaoxue Zheng ◽  
Lijie Qin ◽  
Hongshi He

Water consumption ensures crop production and grain security, and is influenced by many factors. Analyzing the impact factors of water consumption during crop production will be beneficial to the full use of water resources and crop growth. Jilin Province is one of the major crop production areas in China and is facing water shortages. Using the water footprint as an indicator, this study evaluated the water consumption of crop production in Jilin Province during 2000–2016, explored the impacts of climatic and agricultural input factors on the water consumption of crop production, and identified the most influential factors in years under different levels of rainfall. The results indicate that the crop water footprint exhibited a decreasing trend during 2000–2016, and the most influential factors of the crop water footprint changed over the years with different levels of rainfall. Precipitation and the effective irrigation area were the most influential factors in the drought year, and accumulated temperature, machinery power, and chemical fertilizer consumption were the most influential factors in normal and humid years. The most influential factors of the crop water footprint differed in different regions with the differences in natural and human interfered conditions. Identifying the impacts of the most influential factors on the water consumption of crop production would be conducive to optimizing farmland management and achieving sustainable agricultural production.


Resources ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 120
Author(s):  
Simon Meißner

The consumption of freshwater in mining accounts for only a small proportion of the total water use at global and even national scales. However, at regional and local scales, mining may result in significant impacts on freshwater resources, particularly when water consumption surpasses the carrying capacities defined by the amount of available water and also considering environmental water requirements. By applying a geographic information system (GIS), a comprehensive water footprint accounting and water scarcity assessment of bauxite, cobalt, copper, iron, lead, manganese, molybdenum, nickel, uranium and zinc as well as gold, palladium, platinum and silver was conducted to quantify the influence of mining and refining of metal production on regional water availability and water stress. The observation includes the water consumption and impacts on water stress of almost 2800 mining operations at different production stages, e.g., preprocessed ore, concentrate and refined metal. Based on a brief study of mining activities in 147 major river basins, it can be indicated that mining’s contribution to regional water stress varies significantly in each basin. While in most regions mining predominantly results in very low water stress, not surpassing 0.1% of the basins’ available water, there are also exceptional cases where the natural water availability is completely exceeded by the freshwater consumption of the mining sector during the entire year. Thus, this GIS-based approach provides precise information to deepen the understanding of the global mining industry’s influence on regional carrying capacities and water stress.


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