Applications of Universal Kriging to an Aquifer Study in New Jersey

Pucci, Amleto A.; Murashige, Jo Ann E.

doi:10.1111/j.1745-6584.1987.tb02207.x

Cited by 38 publications

(17 citation statements)

References 5 publications

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“…Similar study has been reported by Pucci and Murashige (1987). They used kriging for optimising data collection and utility in a regional ground water investigation in central New Jersey and showed that kriging is a useful tool to elucidate those areas lacking enough data for developing a water table management network.…”

supporting

confidence: 64%

Application and evaluation of kriging and cokriging methods on groundwater depth mapping

Ahmadi

Sedghamiz

2007

Environ Monit Assess

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Groundwater and water resources management play a key role in conserving the sustainable conditions in arid and semi-arid regions. Applying some techniques that can reveal the critical and hot conditions of water resources seem necessary. In this study, kriging and cokriging methods were evaluated for mapping the groundwater depth across a plain in which has experienced different climatic conditions (dry, wet, and normal) and consequently high variations in groundwater depth in a 12 year led in maximum, minimum, and mean depths. During this period groundwater depth has considerable fluctuations. Results obtained from geostatistical analysis showed that groundwater depth varies spatially in different climatic conditions. Furthermore, the calculated RMSE showed that cokriging approach was more accurate than kriging in mapping the groundwater depth though there was not a distinct difference. As a whole, kriging underestimated the real groundwater depth for dry, wet, and normal conditions by 5.5, 2.2, and 5.3%, while cokriging underestimations were 3.3, 2, and 2.2%, respectively; which showed the unbiasedness in estimations. Results implied that in the study area farming and cultivation in dry conditions needs more attention due to higher variability in groundwater depth in short distances compared to the other climate conditions. It is believed that geostatistical approaches are reliable tools for water resources managers and water authorities to allocate groundwater resources in different environmental conditions.

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supporting

confidence: 64%

Application and evaluation of kriging and cokriging methods on groundwater depth mapping

Ahmadi

Sedghamiz

2007

Environ Monit Assess

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“…Furthermore, based on the error map (standard deviation of estimations) they suggested a network for groundwater management. Similar study has been reported by Pucci and Murashige (1987). They used kriging for optimizing data collection and utility in a regional ground water investigation in central New Jersey and showed that kriging is a useful tool to elucidate those areas lacking enough data for developing a water table management network.…”

Section: Introductionsupporting

confidence: 66%

“…Since a periodic trend was seen in data set, a sine function was used to model the trend (Goovaerts, 1997). Kumar and Ahmed (2003), Pucci and Murashige (1987), Rouhani and Wackernagel (1990), Sophocleous et al (1982) and Tonkin and Larson (2001) also reported a trend in the data set of groundwater level and used the universal kriging to geostatistically analysis their data. More details on universal kriging can be found in Goovaerts (1997), Ma et al (1999) and Noshadi and Sepaskhah (2005).…”

Section: Temporal Analysismentioning

confidence: 96%

Geostatistical Analysis of Spatial and Temporal Variations of Groundwater Level

Ahmadi¹,

Sedghamiz

2006

Environ Monit Assess

207

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Groundwater and water resources management plays a key role in conserving the sustainable conditions in arid and semi-arid regions. Applying management tools which can reveal the critical and hot conditions seems necessary due to some limitations such as labor and funding. In this study, spatial and temporal analysis of monthly groundwater level fluctuations of 39 piezometric wells monitored during 12 years was carried out. Geostatistics which has been introduced as a management and decision tool by many researchers has been applied to reveal the spatial and temporal structure of groundwater level fluctuation. Results showed that a strong spatial and temporal structure existed for groundwater level fluctuations due to very low nugget effects. Spatial analysis showed a strong structure of groundwater level drop across the study area and temporal analysis showed that groundwater level fluctuations have temporal structure. On average, the range of variograms for spatial and temporal analysis was about 9.7 km and 7.2 months, respectively. Ordinary and universal kriging methods with cross-validation were applied to assess the accuracy of the chosen variograms in estimation of the groundwater level drop and groundwater level fluctuations for spatial and temporal scales, respectively. Results of ordinary and universal krigings revealed that groundwater level drop and groundwater level fluctuations were underestimated by 3% and 6% for spatial and temporal analysis, respectively, which are very low and acceptable errors and support the unbiasedness hypothesis of kriging. Although, our results demonstrated that spatial structure was a little bit stronger than temporal structure, however, estimation of groundwater level drop and groundwater level fluctuations could be performed with low uncertainty in both space and time scales. Moreover, the results showed that kriging is a beneficial and capable tool for detecting those critical regions where need more attentions for sustainable use of groundwater. Regions in which were detected as critical areas need to be much more managed for using the current water resources efficiently. Conducting water harvesting systems especially in critical and hot areas in order to recharge the groundwater, and altering the current cropping pattern to another one that need less water requirement and applying modern irrigation techniques are highly recommended; otherwise, it is most likely that in a few years no more crop would be cultivated.

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“…Kriging provides the best linear unbiased estimation for spatial interpolation [32,33]. We estimated regional shallow groundwater table depths by Kriging interpolation method.…”

Section: Methodsmentioning

confidence: 99%

Assessment of Shallow Groundwater Recharge from Extreme Rainfalls in the Sanjiang Plain, Northeast China

Liu

Jiang

Zhang

et al. 2016

Water

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Groundwater recharge from rainstorms can be vital for regional water resources. With the expansion of the need for more water in some specific regions under global climate change, groundwater is being pumped at a far greater rate than it can be naturally replenished. Considering that excess rainstorms could be utilized for groundwater recharge to lessen the declining tendency of regional groundwater level in the Sanjiang Plain, Northeast China, we analyzed groundwater changes in the quantity of a regional shallow aquifer in the region following extreme rainfall in 2013. The results show that shallow groundwater table in the north and central Sanjiang Plain increased following the 2013 extreme rainfall. Most of the annual maximal change of groundwater depth (MCGD) was in the range of 1 m to 3 m, occupying 72.1% of the study area. The average MCGD was 1.73 m in 2013, about 0.4 m higher than the mean value during the last five years (1.33 m). Spatially, the overall average groundwater depth showed an increasing trend from the southeast to the midwest and northeast. We estimated a total recharge of approximately 41.14 × 10 8 m 3 from the 2013 extreme rainfall across the north and central Sanjiang Plain. This large quantity of recharge demonstrates the important role that large rainstorms can play in regional shallow groundwater resources.

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Applications of Universal Kriging to an Aquifer Study in New Jersey

Cited by 38 publications

References 5 publications

Application and evaluation of kriging and cokriging methods on groundwater depth mapping

Application and evaluation of kriging and cokriging methods on groundwater depth mapping

Geostatistical Analysis of Spatial and Temporal Variations of Groundwater Level

Assessment of Shallow Groundwater Recharge from Extreme Rainfalls in the Sanjiang Plain, Northeast China

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