Titlebook: Application of the Water Footprint: Water Stress Analysis and Allocation; Meng Xu,Chunhui Li Book 2020 Springer Nature Singapore Pte Ltd.

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upstart

Studies on the Evaluation of Water Footprints at Various Regional Scales accordance with multiple regional scales: global, national, provincial/city and river basin scales. Their relevant studies were listed in each regional scales with their major contributions in each focuses.

BURSA

Principal Water Stress Analysis Indexes and Approaches Based on WFsion also highly connects with their regional scales and water endowment backgrounds. Therefore, the water stresses analysis based on the water footprint accounting under multiple regional scales needs to be made for the evaluations of the regional water sustainable management. In this chapter, based

slipped-disk

Study Case: Water Stresses Evaluation at the Provincial Scale: The Zhejiang Provincel WFs of Zhejiang decreased from 692.03 × 10. m. to 508.81 × 10. m.. In 2007, the industrial sector was the principal contributor to the total WFs, whereas, in 2012, the residential sector turned to the largest one instead. Moreover, from the accounting results of gray WFs from 2005 to 2014, we foun

案发地点

Study Case: Evaluation of Water Stresses at the River Basin Scale: The Haihe River Basinhe involvement of multiple regional jurisdictions further complicates the optimal allocation and sustainable management of water resources at river basins. Water stresses analysis based on water footprint accounting is an applicable approach in assessing the sustainable utilization of water resource

Adornment

Study Case: Evaluation of Water Stresses at the City Scale–The Dalian Cityl development, the problem of water shortage has intensified and become a major constraint in regional sustainable development. Hence, the scientific and rational regional water utilization and allocation plans should be formulated, especially among their industrial sectors. Consequently, an in-dept

严厉批评

headway

Influencing Factors Analysis of Water Footprint Based on the Extended STIRPAT Modely impact factors of city’s total blue WFs and their blue WFs in agricultural, industrial and residential sectors via the Pearson’s Correlation Analysis and the Principal Component Analysis. From the regression results, the dominant contributors to the increase of the blue WFs in various sectors were

漂浮

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