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Ruth Scheidegger

Researcher at Swiss Federal Institute of Aquatic Science and Technology

Publications -  48
Citations -  1914

Ruth Scheidegger is an academic researcher from Swiss Federal Institute of Aquatic Science and Technology. The author has contributed to research in topics: Material flow analysis & Sanitation. The author has an hindex of 22, co-authored 45 publications receiving 1704 citations. Previous affiliations of Ruth Scheidegger include ETH Zurich.

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Significance of urban and agricultural land use for biocide and pesticide dynamics in surface waters

TL;DR: It can be safely concluded that in catchments of mixed land use, the contributions of biocide and pesticide inputs into surface waters from urban areas are at least as important as those from agricultural areas.
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Key drivers of the e-waste recycling system: Assessing and modelling e-waste processing in the informal sector in Delhi

TL;DR: The study revealed that the life span of a personal computer has considerable influence upon the system, most notably in the following two aspects: (i) a prolonged life span creates value by means of refurbishing and upgrading activities, and (ii) it slows down the flow rate of the whole system.
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The Flow of Phosphorus in Food Production and Consumption : Linköping, Sweden, 1870-2000

TL;DR: The main changes in this system over time are the increasing flow of phosphorus reaching the consumer and hence the waste handling system, the increase in the flow of products from animal production, and most notably c) the increased input of chemical fertilizer.
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Modeling the contribution of point sources and non-point sources to Thachin River water pollution

TL;DR: The results show that aquaculture and rice farming are the key nutrient sources in the Thachin River Basin, and a comparison of simulated nutrient loads with measured nutrient concentrations shows that nutrient retention in the river system may be significant.
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Sustainable metal management exemplified by copper in the USA

TL;DR: In this paper, the authors used a set of data from the United States between 1900 and 2100 to illustrate mathematical modeling of the metal management system and found that the long-term copper consumption stock is greater than the short-term stock.