Trend analysis of groundwater using non-parametric methods (case study: Ardabil plain)

Vousoughi, Farnaz Daneshvar; Dinpashoh, Yagob; Aalami, Mohammad Taghi; Jhajharia, Deepak

doi:10.1007/s00477-012-0599-4

Cited by 83 publications

(21 citation statements)

References 30 publications

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“…To correct the serial correlation in the data, a trend-free pre-whitening procedure is used to remove the lag-1 serial correlation (r 1 ) from the time series. Recently, this method has been applied in more and more studies [25,38,39]. To determine whether the observed data set is serially correlated, the significance of the lag-1 serial correlation (r 1 ) should be tested at the 0.10 significance level.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal Changes of Reference Evapotranspiration in the Highest-Latitude Region of China

Pan

Zhang

et al. 2017

Water

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Reference evapotranspiration (ET 0 ) is often used to make management decisions for crop irrigation scheduling and production. In this study, the spatial and temporal trends of ET 0 in China's most northern province as well as the country's largest agricultural region were analyzed for the period from 1964 to 2013. ET 0 was calculated with the Penman-Monteith of Food and Agriculture Organization of the United Nations irrigation and drainage paper NO.56 (FAO-56) using climatic data collected from 27 stations. Inverse distance weighting (IDW) was used for the spatial interpolation of the estimated ET 0 . A Modified Mann-Kendall test (MMK) was applied to test the spatiotemporal trends of ET 0 , while Pearson's correlation coefficient and cross-wavelet analysis were employed to assess the factors affecting the spatiotemporal variability at different elevations. The results from this study showed a clear decreasing trend for annual ET 0 from the low elevation plain area to the high elevation mountainous area. Over the past five decades, ET 0 in Heilongjiang Province decreased in all seasons, except for the winter months, during which a steady increase in temperature was found. Elevation played an important role in estimating ET 0 in this higher-latitude region, while relative humidity was the most relevant meteorological factor that affected the spatiotemporal variation of ET 0 in the province. Overall, the findings from the study suggest that winter ET 0 in a high altitude region will continue to increase in the future as climate change persists, which could worsen spring droughts and irrigation management for semi-arid areas in the province.

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Section: Discussionmentioning

confidence: 99%

Spatiotemporal Changes of Reference Evapotranspiration in the Highest-Latitude Region of China

Pan

Zhang

et al. 2017

Water

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“…Water Resources Research TAIE SEMIROMI AND KOCH (Vousoughi et al, 2013) (Table 2). Demographically, according to the national census conducted in 2011, the population of the plain is around 564,000 that inhabits two big cities, including the provincial city Ardabil, and 88 villages (Statistical Center of Iran, 2011).…”

Section: 1029/2019wr025388mentioning

confidence: 99%

How Do Gaining and Losing Streams React to the Combined Effects of Climate Change and Pumping in the Gharehsoo River Basin, Iran?

Semiromi

Koch

2020

Water Resources Research

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Projections of potential impacts of climate change and groundwater abstraction on gaining and losing streams, particularly in ephemeral river basins exhibiting sporadic and intricate flux exchanges, have remained largely unexplored. To fill this gap, we propose a promising modeling scheme based on the new fully integrated hydrological model SWAT-MODFLOW-NWT, calibrated and validated for 1978-2012, to quantify the intertwined surface-groundwater interactions under a conjuncture of three climatic emission scenarios (RCP 2.6, 4.5 and 8.5) and two groundwater pumping variants: "pumping" (extending current groundwater utilization into the future) and "nonpumping" (assuming a complete cease of pumping in the future). By forcing the integrated model with future downscaled climate predictors of CanESM2 under the aforementioned RCPs for three time slices up to year 2100, projections of various water resources components for the Gharehsoo River Basin (GRB), in northwestern Iran were made. Results demonstrate that because of a general decrease of future precipitation, though with ups and downs across the total projection period, most of the surface and-subsurface budget quantities and fluxes are substantially affected. In particular, future groundwater discharge (baseflow) to the gaining streams will be more influenced by the "pumping" variant (increasing and decreasing for "nonpumping" and "pumping", respectively) than the concentrated groundwater recharge from the losing streams (decreasing and increasing for "nonpumping" and "pumping", respectively). Future water yield and groundwater storage will also diminish and, surprisingly, this cannot be alleviated by future "nonpumping", indicating the groundwater overutilization is the compelling reason for the future water scarcity in the GRB, rather than climate change alone. Plain Language Summary Understanding climate change impacts on surface-groundwater interactions, accommodating nearly all of water resources components of a watershed, is of paramount importance in devising effective strategies to alleviate the adverse impacts of climate change. This is particularly important in semiarid regions where the surface water scarcity has markedly increased the dependency on groundwater resources which, in turn, has highly affected the interaction between these two. We have provided an innovative scheme to assess and project climate change impacts on water resources of a basin and, in particularly, on gaining and losing streams at different temporal and spatial scales. In addition, the net impacts of climate change impacts on the quantity of the water resources, compared with the groundwater overutilization, can be quantified using the proposed methodological approach. Our findings importantly highlight that the groundwater overutilization is the major reason, rather than climate change impacts, for extreme groundwater storage depletion in the Gharehsoo River Basin, in northwestern Iran. As a result, groundwater discharge to the river network will diminish tremendously under the...

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“…The conventional non-parametric Mann-Kendall test (M-K test) has been extensively used to assess the significance of monotonic trends in the LST and SINDVI time series [35][36][37].…”

Section: Time-series Analysismentioning

confidence: 99%

“…The application of M-K test statistics resulted in the identification of trend direction in the change of LST and SINDVI at the southeastern region of Bangladesh from 2001 to 2016. A negative trend indicates the decline of temperature or vegetation cover and a positive trend indicates the rise or increase over the years [35][36][37]. As each monitoring reflects the LST and SINDVI dynamics of the surrounding area, each trend value gives an idea about the temperature or vegetation fluctuations of the study area over the time period.…”

Section: Variation Trends Of Lst and Seasonally Integrated Normalizedmentioning

confidence: 99%

Geospatial Monitoring of Land Surface Temperature Effects on Vegetation Dynamics in the Southeastern Region of Bangladesh from 2001 to 2016

Islam

2018

IJGI

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Land surface temperature (LST) can significantly alter seasonal vegetation phenology which in turn affects the global and regional energy balance. These are the most important parameters of surface–atmosphere interactions and climate change. Methods for retrieving LSTs from satellite remote-sensing data are beneficial for modeling hydrological, ecological, agricultural and meteorological processes on the Earth’s surface. This paper assesses the geospatial patterns of LST using correlations of the seasonally integrated normalized difference vegetation index (SINDVI) in the southeastern region of Bangladesh from 2001 to 2016. Moderate Resolution Imaging Spectroradiometer (MODIS) time series datasets for LST and SINDVI were used for estimations in the study. From 2001 to 2016, the MODIS-based land surface temperature in the southeastern region of Bangladesh was found to have gently increased by 0.2 °C (R2 = 0.030), while the seasonally integrated normalized difference vegetation index also increased by 0.43 (R2 = 0.268). The interannual average LSTs mostly increased across the study areas, except in some coastal plain and tidal floodplain areas of the study. However, the SINDVI increased in the floodplain and coastal plain regions, except for in hilly areas. Physiographically, the study area is a combination of low lying alluvial floodplains, river basin wetlands, tidal floodplains, tertiary hills, terraced lands and coastal plains in nature. The hilly areas are mostly covered by dense forests, with the exception of agricultural areas. The impacts of increased LSTs were inversely correlated for the hilly areas and areas with forest coverage; LSTs were conversely correlated for the floodplain region, and tree cover outside of the forest and agricultural crops. This study will be very helpful for the protection and restoration of the natural environment.

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Trend analysis of groundwater using non-parametric methods (case study: Ardabil plain)

Cited by 83 publications

References 30 publications

Spatiotemporal Changes of Reference Evapotranspiration in the Highest-Latitude Region of China

Spatiotemporal Changes of Reference Evapotranspiration in the Highest-Latitude Region of China

How Do Gaining and Losing Streams React to the Combined Effects of Climate Change and Pumping in the Gharehsoo River Basin, Iran?

Geospatial Monitoring of Land Surface Temperature Effects on Vegetation Dynamics in the Southeastern Region of Bangladesh from 2001 to 2016

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