Abstract

The larger anthropic pressure on the Water Supply Systems (WSS) and the increasing concern for the sustainability of the large energy use for water supply, transportation, distribution, drainage and treatment are determining a new perspective in the management of water systems [...]

Highlights

  • The larger anthropic pressure on the Water Supply Systems (WSS) and the increasing concern for the sustainability of the large energy use for water supply, transportation, distribution, drainage and treatment are determining a new perspective in the management of water systems

  • The use of new devices in the network affects the system sustainability in two ways: (i) it allows savings in the primary natural sources used by the system and in the framework of the water-energy-food nexus; (ii) it automatically incorporates in the water system all the environmental benefits expected at a political level by the product change

  • The bottom-up procedure was found to perform significantly better than the top-down procedure in bottom-up procedure was found to perform significantly better than the top-down procedure in terms of rank-cross correlations at a fine scale

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Summary

Introduction

The larger anthropic pressure on the Water Supply Systems (WSS) and the increasing concern for the sustainability of the large energy use for water supply, transportation, distribution, drainage and treatment are determining a new perspective in the management of water systems. An effort is in action to move from the linear economy model to the circular economy model In this perspective, the potentiality for the recycling of renewable and non-renewable sources is limited to few aspects of the process, as in the use of unconventional energy and water sources in presence of water scarcity, or in the reuse of the wastewater and the sludge coming from treatment plants. A better knowledge of the flow distribution losses in the network, based on water balances or on local measurements. Increasing the model performance [10,11]

Water distribution losses countries
Big Data Analysis
Experiments were performed on a drilled
Technologies for Micro to PicoinHydropower
Industrial and Controlrefer
15. Difference
18. Layout
Findings
Conclusions

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