Geostatistical Methods and Framework for Pollution Modelling

Author:

Khan Zaiema RoufORCID,Jehangir ArshidORCID

Publisher

Springer Nature Switzerland

Reference191 articles.

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2. Alamne, S. B., Assefa, T. T., Belay, S. A., & Hussein, M. A. (2022). Mapping groundwater nitrate contaminant risk using the modified DRASTIC model: A case study in Ethiopia. Environmental Systems Research, 11(1), 8.

3. Al-Ansari, N., Attya, H., & Knutsson, S. (2014). GIS applications for building 3D campus, utilities and implementation mapping aspects for university planning purposes. Journal of Civil Engineering and Architecture, 8(1), 19–28.

4. Ali, U., Shamsi, M. H., Bohacek, M., Purcell, K., Hoare, C., Mangina, E., & O’Donnell, J. (2020). A data-driven approach for multiscale GIS-based building energy modelling for analysis, planning and support decision making. Applied Energy, 279, 115834.

5. Aller, L., & Thornhill, J. (1987). DRASTIC: A standardized system for evaluating ground water pollution potential using hydrogeologic settings. Robert S. Kerr Environmental Research Laboratory, Office of Research and Development, US Environmental Protection Agency.

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