ASSESSING GROUND WATER POLLUTION POTENTIAL FROM NITROGEN FERTILIZER USING A GEOGRAPHIC INFORMATION SYSTEM<sup>1</sup>

Halliday, Stuart L.; Wolfe, Mary Leigh

doi:10.1111/j.1752-1688.1991.tb03128.x

Cited by 45 publications

(17 citation statements)

References 4 publications

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“…These included (1) depth to water table (Aller et al, 1987;Schmidt, 1987;Meeks and Dean, 1990;Atkinson et al, 1992), (2) soil (Carsel et al, 1985;Aller et al, 1987;Schmidt, 1987;Nebert and Anderson, 1987;Petersen et al, 1991;Atkinson et al, 1992;Searing and Shirmohammadi, 1994;Messier et al, 1994), (3) aquifer (Aller et al, 1987;Nebert and Anderson, 1987;Halliday and Wolfe, 1992;Atkinson et al, 1992;and Messier et al, 1994), (4) topography (Aller et al, 1987;Petersen et al, 1991;Atkinson et al, 1992;Messier et al, 1994;Searing and Shirmohammadi, 1994), (5) land use and land cover (Nebert and Anderson, 1987;Petersen et al, 1991;Klingler, 1993;Searing and Shirmohammadi, 1994), (6) rainfall (Nebert and Anderson, 1987;Petersen et al, 1991;Searing and Shirmohammadi, 1994) and (7) irrigation (Cain et al, 1989). In this research, some of the data mentioned above were applied in order to achieve the study's goals.…”

Section: Types and Sources Of Datamentioning

confidence: 99%

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Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand

Thapinta

Hudak

2003

Environment International

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This study employed geographic information systems (GIS) technology to evaluate the vulnerability of groundwater to pesticide pollution. The study area included three provinces (namely, Kanchana Buri, Ratcha Buri, and Suphan Buri) located in the western part of central Thailand. Factors used for this purpose were soil texture, percent slope, primary land use, well depth, and monthly variance of rainfall. These factors were reclassified to a common scale showing potential to cause groundwater contamination by pesticides. This scale ranged from 5 to 1 which means high to low pollution potential. Also, each factor was assigned a weight indicating its influence on the movement of pesticides to groundwater. Well depth, the most important factor in this study, had the highest weight of 0.60 while each of the remaining factors had an equal weight of 0.10. These factors were superimposed by a method called "arithmetic overlay" to yield a composite vulnerability map of the study area.Maps showing relative vulnerability of groundwater to contamination by pesticides were produced. Each of them represented the degree of susceptibility of groundwater to be polluted by the following pesticides: 2,4-D, atrazine, carbofuran, dicofol, endosulfan, dieldrin & aldrin, endrin, heptachlor & heptachlor epoxide, total BHC, and total DDT. These maps were compared to groundwater quality data derived from actual observations. However, only the vulnerability maps of atrazine, endosulfan, total BHC, and heptachlor & heptachlor epoxide showed the best approximation to actual data. It was found that about 7 to 8%, 83 to 88% and 4.9 to 8.7% of the study area were highly, moderately, and lowly susceptible to pesticide pollution in groundwater, respectively.In this study a vulnerability model was developed, which is expressed as follow:

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Section: Types and Sources Of Datamentioning

confidence: 99%

“…- Halliday and Wolfe (1992) applied a GIS and DRASTIC model with information on cropping, fertilizer application rates, aquifers, and aquifer recharge areas.…”

Section: Geographic Information Systems (Gis) As a Tool For Assessingmentioning

confidence: 99%

Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand

Thapinta

Hudak

2003

Environment International

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“…Regression models have generally used multiple linear regression techniques to relate various soil properties or conditions to groundwater vulnerability or to the accumulation of a solute in the soil root zone (Corwin et al, , 1989. Index models refer to those models generally used to assess potential groundwater pollution hazard with some calculated index generated from either a simple functional model of steady-state solute transport (Merchant et al, 1987;Khan & Liang, 1989;Evans & Myers, 1990;Halliday & Wolfe, 1991;Rundquist et al, 1991) or a steady-state mechanistic model (Wylie et al, 1994). Transient-state solute transport models include both stochastic and deterministic models capable of handling the movement of a pollutant in a dynamic flow system.…”

Section: Gis-based Models For Nps Pollution Estimationmentioning

confidence: 99%

GIS Applications of Deterministic Solute Transport Models for Regional-Scale Assessment of Non-Point Source Pollutants in the Vadose Zone

Corwin

2015

SSSA Special Publications

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In recent years, worldwide attention has shifted from point source to non-point source (NPS) pollutants, particularly with regard to the pollution of surface and subsurface sources of drinking water. This is due to the widespread occurrence and potential chronic health effects of NPS pollutants. The ubiquitous nature of NPS pollutants poses a complex technical problem. The area1 extent of their contamination increases the complexity and sheer volume of data required for assessment far beyond that of typical point source pollutants. The spatial nature of the NPS pollution problem necessitates the use of a geographic information system (GIS) to manipulate, retrieve, and display the large volumes of spatial data. This chapter provides an overview of the components (i.e., spatial variability, scale dependency, parameter-data estimation and measurement, uncertainty analysis, and others) required to successfully model NPS pollutants with GIS and a review of recent applications of GIS to the modeling of non-point source pollutants in the vadose zone with deterministic solute transport models. The compatibility, strengths, and weaknesses of coupling a GIS to deterministic one-dimensional transport models are discussed. BACKGROUND IN NON-POINT SOURCE POLLUTANTS

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“…For example, local geology and buffering capacity substantially affect the latency and magnitude of responses to acidic precipitation (Bird and Rapport 1986), and local geology affects the potential for groundwater contamination from fertilizer use (Halliday and Wolfe 1991).…”

Section: Modifying Factorsmentioning

confidence: 99%

Developing a Field of Landscape Ecotoxicology

Cairns¹,

Niederlehner²

1996

Ecological Applications

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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. Abstract. Since toxicants are spread over ecological landscapes, it seems likely that they have effects at that level of ecological organization. Landscape ecotoxicology examines the effects of toxic chemicals on larger scales than traditional environmental toxicology. This approach is characterized by the use of endpoints appropriate to the spatial scale across which a toxicant is dispersed, attention to interactions between physical and temporal patterns and the process of ecological impairment, and integration of multiple lines of evidence for toxicity at various scales. In addition, landscape ecotoxicology seeks predictive models in order to influence human actions before environmental damage occurs. Integrating information from damaged systems, toxicity tests, simulation models, and biomonitoring of healthy systems provides the best basis for decisions. Rapid progress in landscape ecotoxicology is expected as scientists incorporate tools, such as remote sensing and spatially explicit simulation models, and then calibrate these models using data from long.-term biomonitoring of large areas. Further integration into combined socio-economic-ecological models is also possible. Ecological Society of America

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ASSESSING GROUND WATER POLLUTION POTENTIAL FROM NITROGEN FERTILIZER USING A GEOGRAPHIC INFORMATION SYSTEM¹

Cited by 45 publications

References 4 publications

Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand

Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand

GIS Applications of Deterministic Solute Transport Models for Regional-Scale Assessment of Non-Point Source Pollutants in the Vadose Zone

Developing a Field of Landscape Ecotoxicology

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ASSESSING GROUND WATER POLLUTION POTENTIAL FROM NITROGEN FERTILIZER USING A GEOGRAPHIC INFORMATION SYSTEM1

Cited by 45 publications

References 4 publications

Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand

Use of geographic information systems for assessing groundwater pollution potential by pesticides in Central Thailand

GIS Applications of Deterministic Solute Transport Models for Regional-Scale Assessment of Non-Point Source Pollutants in the Vadose Zone

Developing a Field of Landscape Ecotoxicology

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ASSESSING GROUND WATER POLLUTION POTENTIAL FROM NITROGEN FERTILIZER USING A GEOGRAPHIC INFORMATION SYSTEM¹