Trend Analysis of Groundwater Level Using Non-Parametric Tests in Alluvial Aquifers of Uttar Pradesh, India

Kumar, Pushpendra; Chandniha, Surendra Kumar; Lohani, A. K.; Nema, A. K.; Krishan, Gopal

doi:10.12944/cwe.13.1.05

Cited by 34 publications

(7 citation statements)

References 43 publications

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“…This study utilizes a suite of sophisticated analytical techniques, namely, the Mann-Kendall trend test [36], Sen's slope estimation nonparametric test [37], Pettitt method [38], and principal component analysis [39], to discern the points of abrupt changes in the water-sediment dynamics within the Huangfuchuan basin over a span of 66 years.…”

Section: Methodsmentioning

confidence: 99%

The Compound Response Relationship between Hydro-Sedimentary Variations and Dominant Driving Factors: A Case Study of the Huangfuchuan basin

Yao,

Li,

Yao

et al. 2023

Sustainability

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The Huangfuchuan basin is one of the major sources of coarse sediment in the Yellow River and has long been a focal point and challenge for the conservation of soil and water in the Yellow River Basin. In this study, we analyzed the phase differentiation characteristics of water–sediment variations during the flood season in the Huangfuchuan basin using a long-term dataset. We elucidated the complex response relationship between water–sediment variations and meteorological factors and human activities, which is of great significance for revealing the mechanisms of water–sediment variations in the region and establishing a scientific water–sediment regulation system in the basin. Statistical methods such as the Mann–Kendall trend test, Sen’s slope estimation, Pettitt nonparametric test, and principal component analysis were employed to identify and analyze the trends and dominant driving factors before and after the water–sediment variations and abrupt changes in parameters such as rainfall and temperature in the Huangfuchuan basin. Additionally, multiple regression analysis was used to determine the extent of the contribution of climate and human activities to water–sediment variations in the Huangfuchuan basin. The study revealed that the year 2000 was a turning point for water–sediment variations, with decreases of 11.3%, 76.7%, and 85.1% in flood season rainfall, flood season runoff, and flood season sediment transport, respectively. Despite significant changes in the underlying surface conditions of the Huangfuchuan basin, the relationship between flood season sediment transport and flood season runoff remained a power–law relationship. In the absence of obvious abrupt changes in temperature, rainfall, and other meteorological factors, the changes in the underlying surface caused by human activities are the main cause of the changes in runoff and sediment yield in the Huangfuchuan basin. The current level of vegetation restoration in the Huangfuchuan basin is still relatively low, making it difficult to exert stronger control on sediment yield during the flood season. Meanwhile, human activities, primarily based on engineering measures, play a more significant role in the control of soil and water loss in the basin.

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Section: Methodsmentioning

confidence: 99%

The Compound Response Relationship between Hydro-Sedimentary Variations and Dominant Driving Factors: A Case Study of the Huangfuchuan basin

Yao,

Li,

Yao

et al. 2023

Sustainability

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“…V primeru dostopnih podatkov o gladini podzemne vode v vodnem telesu podzemne vode se ti podatki uporabljajo za ugotavljanje napredujočega trenda zniževanja gladin od leta 1990 dalje, povzročenega zaradi prevelike rabe podzemne vode (Andjelov et al, 2019, Andjelov et al, 2021. Sekvenčna analiza trendov nihanja gladin podzemne vode se v hidrologiji uporablja predvsem v oceni sezonske spremenljivosti nihanja količinskega stanja podzemne vode (Satish Kumar & Rathnam, 2020;Kumar et al, 2018;Li et al, 2020), pa tudi z namenom ugotavljanja sprememb v trendih nihanja dolgoletnih vodnih količin (Garbrecht & Fernandez, 1994;Bonacci, 2007). Na območju izvirov Vipave so se sekvenčne analize trendov izvajale z namenom karakterizacije odtoka iz prispevnega zaledja izvirov (Pavlič & Brenčič, 2011).…”

Section: Metode Delaunclassified

Groundwater level oscillation analysis in shallow alluvial aquifers in Pomurje, NE Slovenia

Pavlič¹,

Souvent²

2021

Geologija

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Systematic hydrologic monitoring of groundwater quantity at the national level in Slovenia has been ongoing since 1952. An insight into long-term groundwater level data enables us to delineate parts of aquifers with similar groundwater level oscillation properties as well as to identify changes of those properties in time. We used variety of statistical methods to identify long-term behaviour of groundwater level oscillation of groundwater body (GWB) Murska kotlina. Results showed that fluctuation of groundwater level in time reflect complex set of events that originate in natural or anthropogenic interferences. Using percentile analysis in combination with cluster analysis, we were able to isolate areas with a related groundwater fluctuation. Results of long-term data trends analyses of monthly groundwater level showed the impact of the research area climate on long-term and seasonal groundwater level fluctuation. In addition to natural causes, by performing trend analysis on groundwater level data, we were able identify some human induced interventions into the environment made in the past.

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“…The accuracy is high in highly skewed data compared to regression estimators [24,27]. In recent years, nonparametric tests have been widely used to detect trends in precipitation and temperature, evaporation, runoff, groundwater dynamics, and water quality [23,[28][29][30][31][32][33][34]. The innovative trend analysis developed by Şen (2012) is a new approach to test a time series trend [35].…”

Section: Introductionmentioning

confidence: 99%

Dynamic Changes in Groundwater Level under Climate Changes in the Gnangara Region, Western Australia

Kong

Mao

et al. 2022

Water

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The groundwater-dependent ecosystem in the Gnangara region is confronted with great threats due to the decline in groundwater level since the 1970s. The aim of this study is to apply multiple trend analysis methods at 351 monitoring bores to detect the trends in groundwater level using spatial, temporal and Hydrograph Analysis: Rainfall and Time Trend models, which were applied to evaluate the impacts of rainfall on the groundwater level in the Gnangara region, Western Australia. In the period of 1977–2017, the groundwater level decreased from the Gnangara’s edge to the central-north area, with a maximum trend magnitude of −0.28 m/year. The groundwater level in 1998–2017 exhibited an increasing trend in December–March and a decreasing trend in April–November with the exception of September when compared to 1978–1997. The rainfall + time model based on the cumulative annual residual rainfall technique with a one-month lag during 1990–2017 was determined as the best model. Rainfall had great impacts on the groundwater level in central Gnangara, with the highest impact coefficient being 0.00473, and the impacts reduced gradually from the central area to the boundary region. Other factors such as pine plantation, the topography and landforms, the Tamala Limestone formation, and aquifer groundwater abstraction also had important influences on the groundwater level.

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Trend Analysis of Groundwater Level Using Non-Parametric Tests in Alluvial Aquifers of Uttar Pradesh, India

Cited by 34 publications

References 43 publications

The Compound Response Relationship between Hydro-Sedimentary Variations and Dominant Driving Factors: A Case Study of the Huangfuchuan basin

The Compound Response Relationship between Hydro-Sedimentary Variations and Dominant Driving Factors: A Case Study of the Huangfuchuan basin

Groundwater level oscillation analysis in shallow alluvial aquifers in Pomurje, NE Slovenia

Dynamic Changes in Groundwater Level under Climate Changes in the Gnangara Region, Western Australia

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