Evaluating the contribution of the climate change and human activities to runoff change under uncertainty

Farsi, Niloofar; Mahjouri, Najmeh

doi:10.1016/j.jhydrol.2019.04.028

Cited by 48 publications

(25 citation statements)

References 49 publications

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“…1). Farsi and Mahjouri (2019) and Vazifehkhah and Kahya (2019) suggested a homogeneous series with the SNHT test and a significance of 0.05 in monthly and annual groupings with series greater than 30 years of records. The test was carried out with series at a daily level with a period close to 20 years, so a significance of 0.1 was adequate for analyzing the dynamics of the variable.…”

Section: Resultsmentioning

confidence: 98%

Characterization of soil moisture dynamics in Colombian agricultural areas

Guzmán

Cleves-Leguízamo

Díaz

2021

Rev. Colomb. Cienc. Hortic.

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Seasonal dynamics in edaphic humidity are influenced by different environmental factors, such as topography, physical and chemical soil conditions, type of vegetation cover and climatic classification. Data from 105 agrometeorological stations in the IDEAM network, distributed throughout Colombia, with records from January, 2001 to April, 2020, were studied. A non-parametric Spearman rank correlation test was used to evaluate the relationship between soil moisture and atmospheric variables. Simultaneously, the behaviors of seasonal dynamics were analyzed, along with their interaction with atmospheric, physical soil and vegetation cover variables. The results showed that soil moisture is more significantly influenced by frequency than by intensity of precipitation; this variable had a seasonal behavior, similar to that of precipitation. The physical variable texture was closely related to the behavior of the soil surface moisture (<10 cm deep). In addition, there was evidence of a surface moisture response to the physical conditions of the soil, topography and availability of plant cover. As the soil depth increased, the soil moisture had less variation because the influence of the atmospheric conditions was greater on the surface and persisted longer over time.

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Section: Resultsmentioning

confidence: 98%

Characterization of soil moisture dynamics in Colombian agricultural areas

Guzmán

Cleves-Leguízamo

Díaz

2021

Rev. Colomb. Cienc. Hortic.

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“…At present, scholars in China and abroad have carried out various studies on the causes of flash floods [25]. Using meteorological, hydrological, land-use, topographic, and other data to determine the conditions and influencing factors of flash floods, they have found that precipitation is the direct driving factor that induces flash floods [26][27][28], and have reported that the process of flash flood disasters is the continuous transformation of material and energy from the sky to the ground, from slopes to gullies, and from river branches to the trunk [29][30][31][32][33] Through the analysis of typical mountain torrent disaster events, the temporal and spatial distributions of the occurrence of mountain torrents in different regions have been identified [34], the relationships between the disaster-causing factors and the occurrence of mountain torrents has been revealed, and it has been demonstrated that mountain torrents are caused by the combined action of a disaster-pregnant environment and disaster-causing factors. They are affected by disaster-pregnant environmental factors such as the hydrometeorology, topography, landforms, urbanization, and land use in hilly areas [35,36].…”

Section: Introductionmentioning

confidence: 99%

Driving Factors of Heavy Rainfall Causing Flash Floods in the Middle Reaches of the Yellow River: A Case Study in the Wuding River Basin, China

Zhang

Sun²,

Xiao³

et al. 2022

Sustainability

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In the context of climate change, extreme rainfall events have greatly increased the frequency and risk of flash floods in the Yellow River Basin. In this study, the heavy rainfall and flash flood processes were studied as a system. Taking the driving factors of the heavy rainfall causing the flash floods as the main focus, the key factors of the heavy rainfall causing typical flash flood processes were identified, and the driving mechanism by which the heavy rainfall caused flash floods was revealed. Through comparative analysis of the rainfall related to 13 floods with peak discharges of greater than 2000 m3/s since measurements began at Baijiachuan hydrological station, it was found that different rainfall factors played a major driving role in the different flood factors. The factor that had the largest impact on the peak discharge was the average rainfall intensity; the factor that had the largest impact on the flood volume was the rainfall duration; and the factor that had the largest impact on the sediment volume was the maximum 1 h rainfall. The ecological construction of soil and water conservation projects on the Loess Plateau has had obvious peak-cutting and sediment-reducing effects on the flood processes driven by medium- and low-intensity rainfall events, but for high-intensity flash floods, the flood-reducing and sediment-reducing effects of these projects have been smaller. Therefore, despite the background of continuous ecological improvement on the Loess Plateau, the possibility of floods with large sediment loads occurring in the middle reaches of the Yellow River still exists.

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“…Rising air temperatures lead to increases in the atmosphere vapor holding capacity and changes in the precipitation frequency and intensity. These changes will significantly affect the hydrological cycle, which further influences water supplies on the local, regional and global scales [2], with potentially powerful effects on the runoff mechanisms [3,4] and natural disasters such as floods [5]. Particularly, the impact of climate change on runoffs receives relatively more attention due to its close relationship with the agriculture, hydropower, tourism and ecology around rivers [6].…”

Section: Introductionmentioning

confidence: 99%

Quantifying the Impact of Future Climate Change on Runoff in the Amur River Basin Using a Distributed Hydrological Model and CMIP6 GCM Projections

Wen

Gao

2021

Atmosphere

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The Amur River is one of the top ten longest rivers in the world, and its hydrological response to future climate change has been rarely investigated. In this study, the outputs of four GCMs in the Coupled Model Intercomparison Project Phase 6 (CMIP6) were corrected and downscaled to drive a distributed hydrological model. Then, the spatial variations of runoff changes under the future climate conditions in the Amur River Basin were quantified. The results suggest that runoffs will tend to increase in the future period (2021–2070) compared with the baseline period (1961–2010), particularly in August and September. Differences were also found among different GCMs and scenarios. The ensemble mean of the GCMs suggests that the basin-averaged annual precipitation will increase by 14.6% and 15.2% under the SSP2-4.5 and SSP5-8.5 scenarios, respectively. The increase in the annual runoff under the SSP2-4.5 scenario (22.5%) is projected to be larger than that under the SSP5-8.5 scenario (19.2%) at the lower reach of the main channel. Future climate changes also tend to enhance the flood peak and flood volume. The findings of this study bring new understandings of the hydrological response to future climate changes and are helpful for water resource management in Eurasia.

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Evaluating the contribution of the climate change and human activities to runoff change under uncertainty

Cited by 48 publications

References 49 publications

Characterization of soil moisture dynamics in Colombian agricultural areas

Characterization of soil moisture dynamics in Colombian agricultural areas

Driving Factors of Heavy Rainfall Causing Flash Floods in the Middle Reaches of the Yellow River: A Case Study in the Wuding River Basin, China

Quantifying the Impact of Future Climate Change on Runoff in the Amur River Basin Using a Distributed Hydrological Model and CMIP6 GCM Projections

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