Quantitative study of the crop production water footprint using the SWAT model

Luan, Xiaobo; Wu, Pute; Sun, Shikun; Wang, Yubao; Gao, Xuerui

doi:10.1016/j.ecolind.2018.01.046

Cited by 72 publications

(28 citation statements)

References 33 publications

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“…Satellite observations succeeded to improve and update the knowledge regarding the characterization of entities and processes on the ground that are required for SWAT modeling (e.g., soil moisture, evapotranspiration, vegetation structure, and other biometric properties of the canopy such as photosynthetically active radiation (PAR), leaf area index (LAI), chlorophyll content etc. [47,48]). Remote-sensing applications also provide information to support mapping of the distribution of habitats and species [49].…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Water Quality in Ialomita River Basin in Relationship with Land Cover Patterns

Dunea

Brețcan

Tanislav

et al. 2020

Water

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The paper reviews the state of water quality in Ialomita River Basin (IRB), Romania, between 2007 and 2018 using the land use/land cover and basin-specific conditions effects on sediments and nutrients load. On-site monitoring was performed in two control sections of the Ialomita River, one in the upper part of the basin (near Targoviste city) and the second near the discharge into the Danube (downstream of Tandarei town). The statistical averages of water parameters for 10 years' monitoring in the control section that is close to the Ialomita River discharge in Danube were pH = 7.60 (range: 6.41-8.40), NH 4 -N = 1.20 mg/L (0.02-14.87), alkalinity = 4.12 mmol/L (1.34-6.27), NO 3 -N = 2.60 mg/L (0.08-17.30), PO 4 -P = 0.09 mg/L (0-0,31), dissolved oxygen (DO) = 8.87 mg/L (2.72-15.96), BOD 5 = 5.50 mg/L (0.01-74.71), suspended solids (TSS) = 508.32 mg/L (15.2-4457), total dissolved salts (TDS) = 733.69 mg/L (455.2-1053), and river discharge = 38.60 m 3 /s (8. . Expected mean concentration and soil and water assessment tool (SWAT) modeling have been employed in the GIS environment to extend the approach to large spatial patterns within the basin. The estimated average specific emission on the total area for nitrogen was 3.2 kg N/ha, and 0.3 kg P/ha for phosphorus highly influenced by the agricultural activities. The results are useful to raise awareness regarding water-quality degradation and the need to stop and even reverse such trends for local and national sustainable development.Water 2020, 12, 735 2 of 19 water [2]. The discharge of toxic substances, the contamination of groundwater, and the atmospheric transport of nutrients over long distances leading to eutrophication of surface waters, are some of the important processes responsible for the degradation of water quality [3].Massive pollution with organic compounds leads to increased biological oxygen demand and hypoxia, which is often accompanied by severe pathogenic contamination [4]. Eutrophication resulting from the enrichment with nutrients originating from various sources and in particular from agriculture and agro-industrial environment strongly influences the biosphere [5,6]. The over-application of fertilizers damages the ecosystems on large spaces, including soil, water and underground aquifer layers [7]. The main problems associated with intensive agriculture are salinization, nitrification, pesticide contamination and excessive erosion that produce high concentrations of colloids in flowing waters [8].Significant emissions of atmospheric pollutants and long-range transport have affected large areas, while droplets formed in the atmosphere through the combination of water with the gases produced by burning fossil fuels cause acid rain that leads to the acidification of surface waters, especially of lakes [9].Society uses natural resources in a steadily increasing rate. Human influence on nature may cause adverse consequences leading to the disturbance of the natural balance [10,11]. At the same time, technologies and approaches are being developed...

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Section: Discussionmentioning

confidence: 99%

Evaluation of Water Quality in Ialomita River Basin in Relationship with Land Cover Patterns

Dunea

Brețcan

Tanislav

et al. 2020

Water

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“…In addition to the detailed studies on the global assessment of green, blue and grey WF of wheat (Mekonnen and Hoekstra 2010a), the water footprint of wheat has been quantified in China by (Luan et al 2018) using a soil and water assessment tool. Total blue and green water use by wheat in China has also been analyzed by Cao et al (2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of wheat’s water footprint and virtual water trade: a case study for Turkey

Muratoğlu

2020

Ecol Process

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Background: Many countries are experiencing significant water scarcity and related problems due to limited availability, uneven distribution of water resources and high demand. Therefore, increasing water use efficiency and better management of existing resources have become substantially important. The agricultural sector is responsible for around 80% of global freshwater withdrawal. Wheat is one of the most important crops having large volumes of virtual water (VW) which is defined as the hidden water embedded in the products.Methods: Water footprint (WF) is an indicator showing the total volume of freshwater consumption of a product or process. Blue water concept is defined as the amount of exploited surface and groundwater resources. Green water represents the total volume of rainwater allocated by the product. WF methodology brings a new approach to inter-regional water use and management by quantifying the amount of direct and indirect water use and tracing the hidden links between production, consumption and trade. The main objective of this study is to analyze Turkey's national blue and green WF of wheat production, consumption and virtual water trade between 2008 and 2019. Detailed province-based quantification of wheat's water exploitation is provided using spatial interpolation method. Results: Total consumptive WF of wheat production and consumption of Turkey is calculated as 39.3 and 48.1 Gm 3 /year, respectively. The average blue and green VW contents of wheat production through Turkey are assessed to be 1161 and 748 m 3 /ton, respectively. The water footprint parameters of each province are calculated and discussed using climatic and agricultural data. VW transfer of Turkey's international wheat trade is also analyzed. Total national water saving is calculated as 7.8 Gm 3 /year which is mostly imported from Russia. Global VW deficit due to international wheat trade is calculated to be 1.76 Gm 3 /year. Conclusion:Despite its high contribution to global wheat production, increasing population and strong wheatbased diet, quantitative, comparative and up-to-date analyses of the blue and green WF and the VW transfer of wheat production in Turkey are not available. This study contributes to the national and international water management and planning studies to increase the water allocation efficiency of agricultural products.

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“…Soil salinization is serious and the main chemical composition of groundwater salinity mainly consists of NaCl, KCl, CaSO 4 .The Hetao District has a typical arid continental climate with high evaporation and low rainfall. The average annual precipitation is 180 mm a-1 and the potential evaporation is 2225 mm a -1 (Luan et al, 2018). The soil is mainly alluvial deposits with a silty loam texture.…”

Section: Study Areamentioning

confidence: 99%

A Unique Vadose Zone Model for Shallow Aquifers: the Hetao Irrigation District, China

Liu¹,

Wang²,

Huo³

et al. 2018

Preprint

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Abstract. Rapid population growth is increasing pressure on the world water resources. Agriculture will require crops to be grown with less water. This is especially the case for the closed Yellow River basin necessitating a better understanding of the fate of irrigation water in the soil. In this manuscript, we report on a field experiment and develop a physical based model for the shallow groundwater in the Hetao irrigation district in Inner Mongolia, in the arid middle reaches of the Yellow River. Unlike other approaches, this model recognizes that field capacity is reached when the matric potential is equal to the height above the groundwater table and not by a limiting soil conductivity. The field experiment was carried out in 2016 and 2017. Daily moisture contents at 5 depths in the top 90 cm and groundwater table depths were measured in two fields with a corn crop. The data collected were used for model calibration and validation. The calibration and validation results show that the model-simulated soil moisture and groundwater depth fitted well. The model can be used in areas with shallow groundwater to optimize irrigation water use and minimize tailwater losses.

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Quantitative study of the crop production water footprint using the SWAT model

Cited by 72 publications

References 33 publications

Evaluation of Water Quality in Ialomita River Basin in Relationship with Land Cover Patterns

Evaluation of Water Quality in Ialomita River Basin in Relationship with Land Cover Patterns

Assessment of wheat’s water footprint and virtual water trade: a case study for Turkey

A Unique Vadose Zone Model for Shallow Aquifers: the Hetao Irrigation District, China

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