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JournalISSN: 0920-4741

Water Resources Management

About: Water Resources Management is an academic journal. The journal publishes majorly in the area(s): Water resources & Water supply. It has an ISSN identifier of 0920-4741. Over the lifetime, 4671 publication(s) have been published receiving 125499 citation(s).

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Topics: Water resources, Water supply, Groundwater ...read more
Papers
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Journal ArticleDOI: 10.1007/S11269-006-9039-X
Abstract: The water footprint shows the extent of water use in relation to consumption of people. The water footprint of a country is defined as the volume of water needed for the production of the goods and services consumed by the inhabitants of the country. The internal water footprint is the volume of water used from domestic water resources; the external water footprint is the volume of water used in other countries to produce goods and services imported and consumed by the inhabitants of the country. The study calculates the water footprint for each nation of the world for the period 1997-2001. The USA appears to have an average water footprint of 2480 m 3 /cap/yr, while China has an average footprint of 700 m 3 /cap/yr. The global average water footprint is 1240 m 3 /cap/yr. The four major direct

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Topics: Water use (69%), Virtual water (62%), Water resources (58%)

1,281 Citations


Journal ArticleDOI: 10.1007/S11269-006-9040-4
Claudia Pahl-Wostl1Institutions (1)
Abstract: Water management is facing major challenges due to increasing uncertainties caused by climate and global change and by fast changing socio-economic boundary conditions. More attention has to be devoted to understanding and managing the transition from current management regimes to more adaptive regimes that take into account environmental, technological, economic, institutional and cultural characteristics of river basins. This implies a paradigm shift in water management from a prediction and control to a management as learning approach. The change towards adaptive management could be defined as “learning to manage by managing to learn”. Such change aims at increasing the adaptive capacity of river basins at different scales. The paper identifies major challenges for research and practice how to understand a transition in water management regimes. A conceptual framework is introduced how to characterize water management regimes and the dynamics of transition processes. The European project NeWater project is presented as one approach where new scientific methods and practical tools are developed for the participatory assessment and implementation of adaptive water management.

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1,022 Citations


Journal ArticleDOI: 10.1023/B:WARM.0000043140.61082.60
Sheng Yue1, ChunYuan Wang2Institutions (2)
Abstract: The non-parametric Mann-Kendall (MK) statistical test has been popularly used to assess the significance of trend in hydrological time series The test requires sample data to be serially independent When sample data are serially correlated, the presence of serial correlation in time series will affect the ability of the test to correctly assess the significance of trend To eliminate the effect of serial correlation on the MK test, effective sample size (ESS) has been proposed to modify the MK statistic This study investigates the ability of ESS to eliminate the influence of serial correlation on the MK test by Monte Carlo simulation Simulation demonstrates that when no trend exists within time series, ESS can effectively limit the effect of serial correlation on the MK test When trend exists within time series, the existence of trend will contaminate the estimate of the magnitude of sample serial correlation, and ESS computed from the contaminated serial correlation cannot properly eliminate the effect of serial correlation on the MK test However, if ESS is computed from the sample serial correlation that is estimated from the detrended series, ESS can still effectively reduce the influence of serial correlation on the MK test

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673 Citations


Journal ArticleDOI: 10.1007/S11269-006-9112-5
Stefan Hajkowicz1, Kerry Collins1Institutions (1)
Abstract: Multiple criteria analysis (MCA) is a framework for ranking or scoring the overall performance of decision options against multiple objectives. The approach has widespread and growing application in the field of water resource management. This paper reviews 113 published water management MCA studies from 34 countries. It finds that MCA is being heavily used for water policy evaluation, strategic planning and infrastructure selection. A wide range of MCA methods are being used with the fuzzy set analysis, paired comparison and outranking methods being most common. The paper also examines the motivations for adopting MCA in water management problems and considers future research directions.

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Topics: Strategic planning (50%)

552 Citations


Journal ArticleDOI: 10.1007/S11269-006-9105-4
Abstract: Regional drought assessment is conventionally based on drought indices for the identification of drought intensity, duration and areal extent. In this study, a new index, the Reconnaissance Drought Index (RDI) is proposed together with the well known Standardized Precipitation Index (SPI) and the method of deciles. The new index exhibits significant advantages over the other indices by including apart from precipitation, an additional meteorological parameter, the potential evapotranspiration. The drought assessment is achieved using the above indices in two river basins, namely Mornos and Nestos basins in Greece. It is concluded that although the RDI generally responds in a similar fashion to the SPI (and to a lesser extent to the deciles), it is more sensitive and suitable in cases of a changing environment.

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498 Citations


Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2021315
2020284
2019304
2018302
2017317
2016340

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Journal's top 5 most impactful authors

Vijay P. Singh

41 papers, 1.9K citations

Ozgur Kisi

32 papers, 1.2K citations

Miguel A. Mariño

22 papers, 1.5K citations

Ahmed El-Shafie

21 papers, 698 citations

Abbas Afshar

19 papers, 1K citations

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