FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2910383284> ?p ?o ?g. }

• W2910383284 endingPage "1088" @default.
• W2910383284 startingPage "1075" @default.
• W2910383284 abstract "Abstract Climate change and human activities are two major driving forces affecting the hydrologic cycle, which further influence the stationarity of the hydrologic regime. Hydrological drought is a substantial negative deviation from the normal hydrologic conditions affected by these two phenomena. In this study, we propose a framework for quantifying the effects of climate change and human activities on hydrological drought. First, trend analysis and change‐point test are performed to determine variations of hydrological variables. After that, the fixed runoff threshold level method (TLM) and the standardized runoff index (SRI) are used to verify whether the traditional assessment methods for hydrological drought are applicable in a changing environment. Finally, two improved drought assessment methods, the variable TLM and the SRI based on parameter transplantation are employed to quantify the impacts of climate change and human activities on hydrological drought based on the reconstructed natural runoff series obtained using the variable infiltration capacity hydrologic model. The results of a case study on the typical semiarid Laohahe basin in North China show that the stationarity of the hydrological processes in the basin is destroyed by human activities (an obvious change‐point for runoff series is identified in 1979). The traditional hydrological drought assessment methods can no longer be applied to the period of 1980–2015. In contrast, the proposed separation framework is able to quantify the contributions of climate change and human activities to hydrological drought during the above period. Their ranges of contributions to hydrological drought calculated by the variable TLM method are 20.6–41.2% and 58.8–79.4%, and the results determined by the SRI based on parameter transplantation method are 15.3–45.3% and 54.7–84.7%, respectively. It is concluded that human activities have a dominant effect on hydrological drought in the study region. The novelty of the study is twofold. First, the proposed method is demonstrated to be efficient in quantifying the effects of climate change and human activities on hydrological drought. Second, the findings of this study can be used for hydrological drought assessment and water resource management in water‐stressed regions under nonstationary conditions." @default.
• W2910383284 created "2019-01-25" @default.
• W2910383284 creator A5003951414 @default.
• W2910383284 creator A5008659449 @default.
• W2910383284 creator A5019701390 @default.
• W2910383284 creator A5020375298 @default.
• W2910383284 creator A5023528036 @default.
• W2910383284 creator A5032842248 @default.
• W2910383284 creator A5067645358 @default.
• W2910383284 date "2019-02-04" @default.
• W2910383284 modified "2023-10-18" @default.
• W2910383284 title "A framework for quantifying the impacts of climate change and human activities on hydrological drought in a semiarid basin of Northern China" @default.
• W2910383284 cites W1520842651 @default.
• W2910383284 cites W1695925089 @default.
• W2910383284 cites W1733387413 @default.
• W2910383284 cites W1988163708 @default.
• W2910383284 cites W2004484179 @default.
• W2910383284 cites W2010546627 @default.
• W2910383284 cites W2013921503 @default.
• W2910383284 cites W2014367122 @default.
• W2910383284 cites W2015420417 @default.
• W2910383284 cites W2015522309 @default.
• W2910383284 cites W2040208504 @default.
• W2910383284 cites W2046548554 @default.
• W2910383284 cites W2048271580 @default.
• W2910383284 cites W2086994774 @default.
• W2910383284 cites W2104157175 @default.
• W2910383284 cites W2108886061 @default.
• W2910383284 cites W2113429172 @default.
• W2910383284 cites W2122389133 @default.
• W2910383284 cites W2126788648 @default.
• W2910383284 cites W2135498924 @default.
• W2910383284 cites W2163892738 @default.
• W2910383284 cites W2165301409 @default.
• W2910383284 cites W2169245074 @default.
• W2910383284 cites W2170396766 @default.
• W2910383284 cites W2261567680 @default.
• W2910383284 cites W2268461985 @default.
• W2910383284 cites W2318680928 @default.
• W2910383284 cites W2479543340 @default.
• W2910383284 cites W2525595586 @default.
• W2910383284 cites W2560640726 @default.
• W2910383284 cites W2593322448 @default.
• W2910383284 cites W2594467406 @default.
• W2910383284 cites W2594984429 @default.
• W2910383284 cites W2602239373 @default.
• W2910383284 cites W2604349363 @default.
• W2910383284 cites W2605794105 @default.
• W2910383284 cites W2740228514 @default.
• W2910383284 cites W2746622207 @default.
• W2910383284 cites W2749804634 @default.
• W2910383284 cites W2755047818 @default.
• W2910383284 cites W2771635983 @default.
• W2910383284 cites W2783538041 @default.
• W2910383284 cites W2789389636 @default.
• W2910383284 cites W2796034401 @default.
• W2910383284 cites W2804796363 @default.
• W2910383284 cites W2889124066 @default.
• W2910383284 doi "https://doi.org/10.1002/hyp.13386" @default.
• W2910383284 hasPublicationYear "2019" @default.
• W2910383284 type Work @default.
• W2910383284 sameAs 2910383284 @default.
• W2910383284 citedByCount "63" @default.
• W2910383284 countsByYear W29103832842019 @default.
• W2910383284 countsByYear W29103832842020 @default.
• W2910383284 countsByYear W29103832842021 @default.
• W2910383284 countsByYear W29103832842022 @default.
• W2910383284 countsByYear W29103832842023 @default.
• W2910383284 crossrefType "journal-article" @default.
• W2910383284 hasAuthorship W2910383284A5003951414 @default.
• W2910383284 hasAuthorship W2910383284A5008659449 @default.
• W2910383284 hasAuthorship W2910383284A5019701390 @default.
• W2910383284 hasAuthorship W2910383284A5020375298 @default.
• W2910383284 hasAuthorship W2910383284A5023528036 @default.
• W2910383284 hasAuthorship W2910383284A5032842248 @default.
• W2910383284 hasAuthorship W2910383284A5067645358 @default.
• W2910383284 hasBestOaLocation W29103832842 @default.
• W2910383284 hasConcept C109007969 @default.
• W2910383284 hasConcept C111368507 @default.
• W2910383284 hasConcept C126197015 @default.
• W2910383284 hasConcept C126645576 @default.
• W2910383284 hasConcept C127313418 @default.
• W2910383284 hasConcept C132651083 @default.
• W2910383284 hasConcept C133830359 @default.
• W2910383284 hasConcept C151730666 @default.
• W2910383284 hasConcept C153294291 @default.
• W2910383284 hasConcept C153400128 @default.
• W2910383284 hasConcept C153823671 @default.
• W2910383284 hasConcept C187320778 @default.
• W2910383284 hasConcept C18903297 @default.
• W2910383284 hasConcept C205649164 @default.
• W2910383284 hasConcept C39432304 @default.
• W2910383284 hasConcept C49204034 @default.
• W2910383284 hasConcept C50477045 @default.
• W2910383284 hasConcept C58640448 @default.
• W2910383284 hasConcept C76886044 @default.
• W2910383284 hasConcept C86803240 @default.
• W2910383284 hasConceptScore W2910383284C109007969 @default.

• next