On the kriging of water table elevations using collateral information from a digital elevation model

Desbarats, A. J.; Logan, C; Hinton, M J; Sharpe, D R

doi:10.1016/s0022-1694(01)00504-2

Cited by 162 publications

(84 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Com relação aos dados de vegetação nativa, observou-se alcance prático de 210 m, com o ajuste de um modelo esférico, provavelmente influenciado pela preservação da vegetação ao redor das nascentes e pela necessidade de reflorestamento das áreas de preservação permanente na bacia hidrográfica, conforme relatado por Pinto et al (2005). Já para vazão das nascentes perenes, ajustou-se o modelo exponencial, com alcance de 1.620 m (Tabela 1) e para os dados relativos à área de recarga, ajustou-se modelo esférico, com alcance prático de 1.610 m. A semelhança entre a magnitude dos alcances da vazão das nascentes e das áreas de recarga pode estar relacionada à influência das áreas de recarga no armazenamento da água subterrânea, no regime das nascentes e dos cursos d'água da bacia hidrográfica, conforme relatado por Pinto et al (2004); de forma semelhante, Desbarats et al (2002) estudando a altura de colunas de poços de água do aqüífero ´Oak Ridges Moraine', em Ontário, Canadá, em uma área de 250 km 2 , também obtiveram ajuste de semivariogramas com alcance próximo a 2000 m. Portanto, no presente estudo, de acordo com o alcance obtido pelo semivariograma dos dados de vazão das nascentes e da área de recarga das nascentes da bacia hidrográfica do Ribeirão Santa Cruz, infere-se que a preservação de uma nascente, na região estudada, pode ser influenciada pela vizinhança em um raio próximo a 1.620 m (Tabela 1 e Figura 2).…”

Section: Resultsunclassified

Variabilidade espacial de variáveis geobiofísicas nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz

Alves¹,

Botelho²,

Pinto³

et al. 2008

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

R ESU MOObjetivou-se, em Lavras, MG, caracterizar a estrutura e a magnitude de dependência espacial de variáveis ambientais nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz, por métodos de interpolação geoestatística. Os métodos de interpolação por krigagem ordinária e inverso da potência da distância (IPD) foram utilizados para representar altitude, vazão, áreas de recarga e de vegetação de 175 nascentes perenes em 86,99 km 2 de área. Observou-se melhor desempenho da estimação por krigagem quando comparado ao método IPD.Palavras-chave: geoestatística, krigagem ordinária, inverso da potência da distância, semivariograma Spatial variability of geobiophysical variables in the springs of the Ribeirão Santa Cruz watershed ABST RACTThe objective of this study was to characterize the structure and the spatial dependence magnitude of geobiophysical variables in the springs of the Ribeirão Santa Cruz stream watershed, Lavras, MG, using geostatistical interpolation methods. Ordinary kriging system and inverse power distance (IPD) interpolation methods were used to map the altitude, flow, areas of recharge and vegetation of 175 perennial springs in an area of 86.99 km 2 . Better peformance was observed with estimation using the kriging method as compared to the IPD method.

show abstract

Section: Resultsunclassified

Variabilidade espacial de variáveis geobiofísicas nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz

Alves¹,

Botelho²,

Pinto³

et al. 2008

Rev. bras. eng. agríc. ambient.

View full text Add to dashboard Cite

show abstract

“…Examples include combining rainfall data with a digital elevation model (DEM) as a covariate (Goovaerts 2000), combining rainfall data with satellite imagery or radar data (Grimes et al 1999;Cassiraga et al 1997), combining temperature with a DEM (Hudson and Wackernagel 1994), and combining temperature and land use for application in a crop growth model (Monestiez et al 2001). In soil science and hydrology KED is applied in mapping soil horizons using a DEM (Bourennane et al 1996), soil variables (Hengl et al 2004), erosion mapping (Goovaerts 1999), or water table depths (Desbarats et al 2002). Applications in air quality mapping are found in ozone mapping using a DEM (Pauly and Drueke 1996) or using dispersion model output for mapping ozone concentration around Paris (Bertino and Wackernagel 2002) or for urban air quality measurements (Genikhovich et al 2002).…”

Section: Introductionmentioning

confidence: 99%

External drift kriging of NOx concentrations with dispersion model output in a reduced air quality monitoring network

et al. 2007

View full text Add to dashboard Cite

In the mid nineteen eighties the Dutch NO x air quality monitoring network was reduced from 73 to 32 rural and city background stations, leading to higher spatial uncertainties. In this study, several other sources of information are being used to help reduce uncertainties in parameter estimation and spatial mapping. For parameter estimation, we used Bayesian inference. For mapping, we used kriging with external drift (KED) including secondary information from a dispersion model. The methods were applied to atmospheric NO x concentrations on rural and urban scales. We compared Bayesian estimation with restricted maximum likelihood estimation and KED with universal kriging. As a reference we also included ordinary least squares (OLS). Comparison of several parameter estimation and spatial interpolation methods was done by cross-validation. Bayesian analysis resulted in an error reduction of 10 to 20% as compared to restricted maximum likelihood, whereas KED resulted in an error reduction of 50% as compared to universal kriging. Where observations were sparse, the predictions were substantially improved by inclusion of the dispersion model output and by using available prior information. No major improvement was observed as compared to OLS, the cause presumably being that much good information is contained in the dispersion model output, so that no additional spatial residual random field is required to explain the data. In all, we conclude that reduction in the monitoring network could be compensated by modern geostatistical methods, and that a traditional simple statistical model is of an almost equal quality.

show abstract

“…The water table depth was chosen as the interpolated data instead of the height (elevation) of the groundwater table to assure the assumption of data stationarity when using the kriging technique (Desbarats et al 2002). The use of the water depth isolates the external drift caused by the natural conformity between the height of the groundwater table and the surface elevation.…”

Section: Kriging Techniquesmentioning

confidence: 99%

Analysis of spatial–temporal patterns of water table change as a tool for conjunctive water management in the Upper Central Plain of the Chao Phraya River Basin, Thailand

et al. 2014

View full text Add to dashboard Cite

A sustainable strategy for conjunctive water management must include information on the temporal and spatial availability of this natural resource. Because of water shortages in the dry seasons, farmers on the Upper Plain of the Chao Phraya River basin, Thailand, are increasingly using groundwater to meet their irrigation needs. To evaluate the possibilities of conjunctive water management in the area, the spatial-temporal changes in the water table of the Younger Terrace Aquifer were investigated. First, a regional geomorphological map based on field surveys, remote sensing and previous environmental studies was developed. Then, the well data were analyzed in relation to rainfall, streamflow, yield and pumpage, and the data were interpolated using geostatistical techniques. The results were analyzed via integrated zoning based on color theory as applied to multivariate visualization. The analysis results indicate areas that would be more suitable for groundwater extraction in a conjunctive management framework with regard to the natural hydrogeological processes and the effects of human interaction. The kriging results were compared with the geomorphological map, and the geomorphological areas exhibit distinct hydrogeological patterns. The western fans exhibit the best potential for the expansion of conjunctive use, whereas the borders of the northern fans exhibit the lowest potential.

show abstract

On the kriging of water table elevations using collateral information from a digital elevation model

Cited by 162 publications

References 28 publications

Variabilidade espacial de variáveis geobiofísicas nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz

Variabilidade espacial de variáveis geobiofísicas nas nascentes da bacia hidrográfica do Ribeirão Santa Cruz

External drift kriging of NOx concentrations with dispersion model output in a reduced air quality monitoring network

Analysis of spatial–temporal patterns of water table change as a tool for conjunctive water management in the Upper Central Plain of the Chao Phraya River Basin, Thailand

Contact Info

Product

Resources

About