IMPLICATIONS OF ON‐GROUND NITROGEN LOADING AND SOIL TRANSFORMATIONS ON GROUND WATER QUALITY MANAGEMENT<sup>1</sup>

Almasri, Mohammad N.; Kaluarachchi, Jagath J.

doi:10.1111/j.1752-1688.2004.tb01017.x

Cited by 45 publications

(46 citation statements)

References 52 publications

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“…It was reported that this approach of developing a 3-D hydrostratigraphic model can be applied to other areas having complex aquifer systems, and is also useful in helping lay audiences visualize aquifer systems. Almasri and Kaluarachchi (2004) presented a GIS-based modeling approach to estimate the variability of on-ground nitrogen loading and the corresponding nitrate leaching to groundwater. The methodology integrates all point and nonpoint sources of nitrogen, the national land cover database, soil nitrogen transformations, and the uncertainty of key soil and land use-related parameters to predict the nitrate mass leaching to groundwater.…”

Section: Ramlingam and Santhakumarmentioning

confidence: 99%

Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints

Jha

Chowdhury

Chowdary³

et al. 2006

Water Resour Manage

428

122

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Groundwater is one of the most valuable natural resources, which supports human health, economic development and ecological diversity. Overexploitation and unabated pollution of this vital resource is threatening our ecosystems and even the life of future generations. With the advent of powerful personal computers and the advances in space technology, efficient techniques for land and water management have evolved of which RS (remote sensing) and GIS (geographic information system) are of great significance. These techniques have fundamentally changed our thoughts and ways to manage natural resources in general and water resources in particular. The main intent of the present paper is to highlight RS and GIS technologies and to present a comprehensive review on their applications to groundwater hydrology. A detailed survey of literature revealed six major areas of RS and GIS applications in groundwater hydrology: (i) exploration and assessment of groundwater resources, (ii) selection of artificial recharge sites, (iii) GIS-based subsurface flow and pollution modeling, (iv) groundwater-pollution hazard assessment and protection planning, (v) estimation of natural recharge distribution, and (vi) hydrogeologic data analysis and process monitoring. Although the use of these techniques in groundwater studies has rapidly increased since early nineties, the success rate is very limited and most applications are still in their infancy. Based on this review, salient areas in need of further research and development are discussed, together with the constraints for RS and GIS applications in developing nations. More and more RSand GIS-based groundwater studies are recommended to be carried out in conjunction with field investigations to effectively exploit the expanding potential of RS and GIS technologies, which will perfect and standardize current applications as well as evolve new approaches and applications. It is concluded that both the RS and GIS technologies have great potential to

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Section: Ramlingam and Santhakumarmentioning

confidence: 99%

Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints

Jha

Chowdhury

Chowdary³

et al. 2006

Water Resour Manage

428

122

View full text Add to dashboard Cite

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“…In general, the main nitrogen sources in agricultural watersheds include dairy and poultry manure, dairy lagoons, applications of fertilizers on agricultural fields and lawns, atmospheric deposition, irrigation with nitrogen-contaminated ground water, septic tanks, and nitrogen fixed by legumes (Almasri and Kaluarachchi, 2004a-c). The abovementioned nitrogen sources are spatially allocated using the NLCD except for septic tanks and dairy lagoons where GIS point shapefiles are utilized to assign the corresponding loadings (Almasri and Kaluarachchi, 2004a).…”

Section: Nitrogen Sources and Simulation Of Nitrate Contaminationmentioning

confidence: 99%

Multi-criteria decision analysis for the optimal management of nitrate contamination of aquifers

Almasri

Kaluarachchi

2005

Journal of Environmental Management

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We present an integrated methodology for the optimal management of nitrate contamination of ground water combining environmental assessment and economic cost evaluation through multi-criteria decision analysis. The proposed methodology incorporates an integrated physical modeling framework accounting for on-ground nitrogen loading and losses, soil nitrogen dynamics, and fate and transport of nitrate in ground water to compute the sustainable on-ground nitrogen loading such that the maximum contaminant level is not violated. A number of protection alternatives to stipulate the predicted sustainable on-ground nitrogen loading are evaluated using the decision analysis that employs the importance order of criteria approach for ranking and selection of the protection alternatives. The methodology was successfully demonstrated for the Sumas-Blaine aquifer in Washington State. The results showed the importance of using this integrated approach which predicts the sustainable on-ground nitrogen loadings and provides an insight into the economic consequences generated in satisfying the environmental constraints. The results also show that the proposed decision analysis framework, within certain limitations, is effective when selecting alternatives with competing demands.

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“…It also does not bind to soil particles like many water contaminants do. As a result, it easily leaches through the soil due to infiltration of rainfall or irrigation water [8,9].…”

Section: Introductionmentioning

confidence: 99%

Predicting Nitrate Concentration and Its Spatial Distribution in Groundwater Resources Using Support Vector Machines (SVMs) Model

Arabgol

Sartaj

Asghari

2015

Environ Model Assess

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In this paper, a support vector machine (SVM) model was developed to predict nitrate concentration in groundwater of Arak plain, Iran. The model provided a tool for prediction of nitrate concentration using a set of easily measurable groundwater quality variables including water temperature, electrical conductivity, groundwater depth, total dissolved solids, dissolved oxygen, pH, land use, and season of the year as input variables. The data set comprised of 160 water samples representing 40 different wells monitored for 1 year. The associated parameters for the optimum SVM model were obtained using a combination of 4-fold cross-validation and grid search technique. The optimum model was used to predict nitrate concentration in Arak plain aquifer. The SVM model predicted nitrate concentration in training and test stage data sets with reasonably high correlation (0.92 and 0.87, respectively) with the measured values and low root mean squared errors of 0.086 and 0.111, respectively. Finally, the map of nitrate concentration in groundwater was prepared for all four seasons using the trained SVM model and a geographic information system (GIS) interpolation scheme and compared with the results with a physics-based (flow and contaminant) model. Overall, the results showed that SVM model could be used as a fast, reliable, and cost-effective method for assessment and predicting groundwater quality.

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IMPLICATIONS OF ON‐GROUND NITROGEN LOADING AND SOIL TRANSFORMATIONS ON GROUND WATER QUALITY MANAGEMENT¹

Cited by 45 publications

References 52 publications

Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints

Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints

Multi-criteria decision analysis for the optimal management of nitrate contamination of aquifers

Predicting Nitrate Concentration and Its Spatial Distribution in Groundwater Resources Using Support Vector Machines (SVMs) Model

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IMPLICATIONS OF ON‐GROUND NITROGEN LOADING AND SOIL TRANSFORMATIONS ON GROUND WATER QUALITY MANAGEMENT1

Cited by 45 publications

References 52 publications

Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints

Groundwater management and development by integrated remote sensing and geographic information systems: prospects and constraints

Multi-criteria decision analysis for the optimal management of nitrate contamination of aquifers

Predicting Nitrate Concentration and Its Spatial Distribution in Groundwater Resources Using Support Vector Machines (SVMs) Model

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IMPLICATIONS OF ON‐GROUND NITROGEN LOADING AND SOIL TRANSFORMATIONS ON GROUND WATER QUALITY MANAGEMENT¹