A review of the assessment of sustainable water use at continental-to-global scale

Joseph, Naveen; Ryu, Dongryeol; Malano, Hector; George, Biju; Sudheer, K. P.

doi:10.1007/s40899-020-00379-7

Cited by 22 publications

(5 citation statements)

References 119 publications

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“…Comprehensive regional strategies are necessary to adapt GW management to the specific local societal and environmental needs under changing climate conditions in a sustainable way (Aeschbach-Hertig and Gleeson 2012). In this respect, one important challenge is the lack of consistent and reliable observations of GW storage, exchange fluxes with surface waters, and residence time (Wada and Bierkens 2014;Joseph et al 2020). Due to the limited availability of ground-based GW monitoring, particularly in Africa, remote sensing observations are of tremendous importance.…”

Section: Introductionmentioning

confidence: 99%

The Role of Space-Based Observations for Groundwater Resource Monitoring over Africa

et al. 2023

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Africa is particularly vulnerable to climate change impacts, which threatens food security, ecosystem protection and restoration initiatives, and fresh water resources availability and quality. Groundwater largely contributes to the mitigation of climate change effects by offering short- to long-term transient water storage. However, groundwater storage remains extremely difficult to monitor. In this paper, we review the strengths and weaknesses of satellite remote sensing techniques for addressing groundwater quantity issues with a focus on GRACE space gravimetry, as well as concepts to combine satellite observations with numerical models and ground observations. One particular focus is the quantification of changes in groundwater resources in the different climatic regions of Africa and the discussion of possible climatic and anthropogenic drivers. We include a thorough literature review on studies that use satellite observations for groundwater research in Africa. Finally, we identify gaps in research and possible future directions for employing satellite remote sensing to groundwater monitoring and management on the African continent. Article Highlights Overview on the distribution and characteristics of African groundwater resources including future projections Combination of satellite and in situ observations with numerical models allows us to obtain a synoptic view of groundwater-related processes Summary of current concepts and achievements of satellite remote sensing-based groundwater monitoring and decision making over Africa

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Section: Introductionmentioning

confidence: 99%

The Role of Space-Based Observations for Groundwater Resource Monitoring over Africa

et al. 2023

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“…These resources also have a structure that affects each other. Along with factors such as global warming and seasonal changes, environmental damage is increasing due to unsustainable resource consumption (Joseph et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Deep learning based an effective hybrid model for water quality assessment

Utku,

Kutlu

2023

Water Environment Research

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Water, which is very important for life and civilizations on Earth, has been a source of life for all living things. However, freshwater resources gradually decrease due to climate change, pollution, and population growth. Water pollution is the quality changes that occur due to various activities of people, change the chemical, biological, and physical properties of water, restrict or prevent its use, and disrupt ecological balances. The water quality criteria determined to keep this pollution under control ensure the safe use of water. Water quality observations have gained more importance today due to intense environmental concerns and water pollution. This situation revealed the necessity of water quality assessment for water source use. In this study, the CNN‐LSTM‐based hybrid model was proposed to assess water quality. The proposed model was compared with AdaBoost, DT, GNB, kNN, LGBM, RF, and LSTM according to accuracy, precision, recall, F‐score, and AUC. The proposed model has 98.81% accuracy, 99.03% precision, 99.65% recall, 99.33% F‐score, and 93% AUC.

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“…The water footprint (WF) proposed by Hoekstra and Hung [ 24 ] represents direct and indirect measurements of water appropriation by human beings. It quantifies blue and green water consumption in a river basin or a specified region and is a new approach to assess the sustainable water use of economic production sectors or regions [ 25 – 27 ].…”

Section: Introductionmentioning

confidence: 99%

Impact of the Grain for Green Project on water resources and ecological water stress in the Yanhe River Basin

et al. 2022

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The Grain for Green project (GGP), initialized by the Chinese government in 1999, has achieved substantial achievements accompanied by a decrease in surface runoff on the Loess Plateau, but the impacts of large-scale afforestation on regional water resources are uncertain. Hence, the objective of this study was to explore the impact of land use change on generalized water resources and ecological water stress using the blue and green water concepts, taking the Yanhe River Basin as the case study. The Soil and Water Assessment Tool (SWAT) was applied to quantify the green water and blue water, which are defined as generalized water resources. The ecological water requirement of vegetation (forest and grass), agricultural water footprint and virtual water flow are considered regional water requirements. The land use types of 1980 (Scenario I) and 2017 (Scenario II) were entered into the SWAT model while keeping the other parameters constant to isolate the influence of land use changes. The results show that the average annual differences in blue, green and generalized water resources were -72.08 million m3, 24.34 million m3, and -47.74 million m3, respectively, when the simulation results of Scenario II were subtracted from those of Scenario I, which shows that land use change caused by the GGP led to a decrease in blue and generalized water resources and an increase in green water resources. Surface runoff in Scenario I was more than that in Scenario II in all of the years of the study period from 1980–2017, and green water storage in Scenario I was more than that in Scenario II in all of the years of the study period except in 1998; although lateral flow in Scenario I was less than that in Scenario II except in 2000 and 2015, as was groundwater runoff in 1992, 2000 and 2015, and green water flow in 1998. Blue water flow, green water storage and green water flow in Scenario II were less than those in Scenario I in the whole basin, 12.89 percent of the basin and 99.21 percent of the basin, respectively. The total water footprint increased from 1995 to 2010 because the forest water footprint increased significantly in this period, although the agricultural water footprint and grass water footprint decreased. The ecological water stress index values had no obvious temporal change trends in either land use scenario, but the ecological water stress index in Scenario II was greater than that in Scenario I, which illustrates that the GGP led to an increase in ecological water stress from the perspective of generalized water resources.

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A review of the assessment of sustainable water use at continental-to-global scale

Cited by 22 publications

References 119 publications

The Role of Space-Based Observations for Groundwater Resource Monitoring over Africa

The Role of Space-Based Observations for Groundwater Resource Monitoring over Africa

Deep learning based an effective hybrid model for water quality assessment

Impact of the Grain for Green Project on water resources and ecological water stress in the Yanhe River Basin

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