Evaluating climate and irrigation effects on spatiotemporal variabilities of regional groundwater in an arid area using EOFs

Yue, Weifeng; Meng, Kun; Hou, Kaixuan; Zuo, Rui; Zhang, Bo-Tao; Wang, Guo Qiang

doi:10.1016/j.scitotenv.2019.136147

Cited by 17 publications

(10 citation statements)

References 50 publications

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“…The distribution of clay along with silt fractions also plays a significant role in the DTGT variability. It is evident from the strong negative correlation of clay percent with the EOF1, contrary to Yue et al, 2020, that drives the overall DTGT spatial pattern, although control of topography is reflected from its correlation with EOF2 spatial pattern in the CZO (Fig. 7b).…”

Section: Hydrological Variability and Controls Of Sm And Dtgt Over Th...mentioning

confidence: 99%

“…However, natural complexity and local anthropogenic alteration of near surface components limit the detailed understanding of the hydrological system in a crop water system. On the other hand, the empirical orthogonal function (EOF) analysis effectively analyses large spatiotemporal observations and has been extensively used in many hydrological processes (Joshi and Mohanty, 2010;Meng et al, 2022;Jawson and Niemann, 2007;Yu and Chu, 2010;Yue et al, 2020).…”

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confidence: 99%

“…Investigation of the physical controlling factors of the Soil Moisture Experiment 2002 (SMEX02) by Joshi and Mohanty (2010) suggested a mixed effect of the rainfall, topography and soil texture on the major EOFs. Application of the EOF analysis to monthly observation of groundwater table depth from 67 monitoring well in parts of Northwest China found the evaporation and temperature as the major drivers of the temporal variability (Yue et al, 2020).…”

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confidence: 99%

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Spatiotemporal dynamics and interrelationship between soil moisture and groundwater over the Critical Zone Observatory in the Central Ganga plain, North India

Dash

Sinha

2022

Preprint

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Abstract. The understanding of spatiotemporal dynamics of Earth’s hydrological components and their controls is critical for efficient water resource management, especially in the agriculture-dominated landscapes. In this study, we utilize the empirical orthogonal function (EOF), random combination, and temporal stability approach on the soil moisture (SM) and depth to groundwater table (DTGT) observations from the Critical Zone Observatory in the Ganga basin to understand their spatiotemporal variability and optimal sampling strategies. Around 91 % of the observed DTGT spatial variations are explained by the first two spatial EOF whereas the first five EOFs explain only 67 % of the total SM variability. Topography and soil texture (% clay) are considered to be the leading factors that drive the spatial pattern of both the attributes. Furthermore, we noted that four SM sampling locations and two monitoring well, selected randomly can capture the mean spatial variability with an accuracy of 3 % vol /vol and 0.90 mgbl (meter below ground level) respectively. Moreover, four temporally stable SM sites and a single observation well are identified, which provide the spatial mean with an absolute error of ±2 % vol /vol and 0.36 mgbl respectively. Overall, this study provides an insight to spatiotemporal hydrological controls in an intensively managed landscape and has important implications for water resource management in such regions.

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Section: Hydrological Variability and Controls Of Sm And Dtgt Over Th...mentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Spatiotemporal dynamics and interrelationship between soil moisture and groundwater over the Critical Zone Observatory in the Central Ganga plain, North India

Dash

Sinha

2022

Preprint

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“…Water scarcity poses a significant challenge to sustainable economic and social development worldwide, particularly in arid and semi-arid regions [1][2][3]. Due to the scarcity of water resources, conflicts in water usage have intensified between production and ecology, agriculture and other industries, as well as upstream and downstream regions within river basins, even extending to various administrative boundaries [4].…”

Section: Introductionmentioning

confidence: 99%

Evolution Trend of Depth to Groundwater and Agricultural Water-Saving Measure Threshold under Its Constraints: A Case Study in Helan Irrigated Areas, Northwest China

Chang,

Yang,

et al. 2024

Water

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Water conservation is imperative for alleviating water shortages and fostering the establishment of a water-saving society. However, the implementation of water-saving measures caused an increase in the depth to groundwater, resulting in ecological issues. Therefore, reasonable water saving should consider the appropriate depth to groundwater and its evolution trend. This study focuses on the Helan irrigation area in Ningxia as the research subject, aiming to establish thresholds for agricultural water-saving measures while considering constraints by depth to groundwater. The evolution trend of depth to groundwater from 1995 to 2018 was analyzed using the k-Shape cluster and complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) methods. Then, the thresholds of agricultural water-saving measures involved comparing groundwater numerical simulation results for water-saving scenarios, with the control area of ecological groundwater table depth and water shortage rate serving as the evaluation indices. The thresholds for implementing agricultural water-saving measures are as follows: the canal water utilization coefficient is set at 0.62; the proportion of water-efficient irrigation areas to effective irrigation areas should be 40% in the Yellow River irrigation area and 90% in the pumps-up Yellow River irrigation area; additionally, a reduction of 75% in the rice planting area is targeted.

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“…The EOF method can identify and rank several patterns, allowing the user to gauge the impact of each pattern, whereas the MRD method generates a single pattern. As an efficient method to uncover spatial patterns of variability [11,12], the EOF analysis was used in oceanography and climate studies [13,14], hydrogeology [15], soil hydrology [16], crop yield as related to the access to groundwater and nutrient management [17], and other fields. For example, persistent spatial patterns were found with EOF analysis of Escherichia coli and Enterococcus spp.…”

Section: Introductionmentioning

confidence: 99%

Persistent Spatial Patterns of Listeria monocytogenes and Salmonella enterica Concentrations in Surface Waters: Empirical Orthogonal Function Analysis of Data from Maryland

et al. 2022

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High spatiotemporal variability of pathogen concentrations in surface waters complicates the design and interpretation of microbial water quality monitoring. Empirical orthogonal function (EOF) analysis can provide spatial patterns (EOFs) of variability in deviations of concentrations in specific locations from the average concentration across the study area. These patterns can be interpreted to assess the effect of environmental factors on pathogen levels in the water. The first and the second EOFs for Listeria monocytogenes explained 84.4% and 9.7% of the total variance of deviations from average, respectively. That percentage was 50.8% and 45.0% for Salmonella enterica. The precipitation also had a strong explanatory capability (79%) of the first EOF. The first EOFs of Listeria and precipitation were similar at pond sites but were opposite to the precipitation at the stream sites. The first EOF of S. enterica and precipitation demonstrated opposite trends, whereas the second S. enterica EOF pattern had similar signs with the precipitation EOF at pond sites, indicating a relationship between rainfall and Salmonella at these sites. Overall, the rainfall data could inform on persistent spatial patterns in concentrations of the two pathogens at the pond sites in farm settings but not at stream sites located in forested areas.

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Evaluating climate and irrigation effects on spatiotemporal variabilities of regional groundwater in an arid area using EOFs

Cited by 17 publications

References 50 publications

Spatiotemporal dynamics and interrelationship between soil moisture and groundwater over the Critical Zone Observatory in the Central Ganga plain, North India

Spatiotemporal dynamics and interrelationship between soil moisture and groundwater over the Critical Zone Observatory in the Central Ganga plain, North India

Evolution Trend of Depth to Groundwater and Agricultural Water-Saving Measure Threshold under Its Constraints: A Case Study in Helan Irrigated Areas, Northwest China

Persistent Spatial Patterns of Listeria monocytogenes and Salmonella enterica Concentrations in Surface Waters: Empirical Orthogonal Function Analysis of Data from Maryland

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