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Advanced Modelling Tools to Support Planning for Sand/Gravel Quarries

descriptionPublicationkeyboard_double_arrow_right Article , Journal , Other literature type 04 Jun 2021 Italy Publisher:MDPI AGJournal:Sustainability, volume 13, page 6,380 (eissn: 2071-1050,

Authors: Pavesi, Filippo Carlo; Richiedei, Anna; Pezzagno, Michele;

doi: 10.3390/su13116380

handle: 11379/544905

Advanced Modelling Tools to Support Planning for Sand/Gravel Quarries

- Summary
- Subjects
- Metrics

Abstract

Sand and gravel quarry planning must guarantee the public interest in the procurement of raw materials while ensuring environmental sustainability. An Analyzing Planning Support System for sand and gravel quarry plan can assist decision-makers during the planning process. The proposed Analyzing PSS uses integrating geologic, economic, environmental, and geographic information to quantify raw materials and the size of quarries. This kind of tool is useful to support public authority decisions. The study provides the results of an experience conducted in the province of Brescia (NUT 3 in Northern Italy).

Country

Italy

Related Organizations

University of Brescia
Italy

Keywords

sand and gravel, decision support, quarrying; multicriterial analysis approach; geographic information system; spatial planning support system; decision support; reward system; sand and gravel;, Environmental effects of industries and plants, quarrying, TJ807-830, TD194-195, Renewable energy sources, multicriterial analysis approach, Environmental sciences, reward system, geographic information system, GE1-350, spatial planning support system

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	2
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average