Quantifying the impacts of anthropogenic changes and climate variability on runoff changes in central plateau of Iran using nine methods

Sharifi, Abdolkarim; Mirabbasi, Rasoul; Nasr-Esfahani, Mohammad Ali; Haghighi, Ali Torabi; Nafchi, Rouhollah Fatahi

doi:10.1016/j.jhydrol.2021.127045

Cited by 28 publications

(9 citation statements)

References 58 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The results of this study are consistent with Yuan et al (2015) and Zhao et al (2018), that climate change increases runoff, while land use decreases runoff, and land use change also amplifies the effect of climate change strongly (Op de Hipt et al, 2019). In addition, human activities have gradually become the domain factors affecting runoff change, which is consistent with the results of studies in China (Zheng et al, 2009;Guo et al, 2014;Wu et al, 2020) and other tropical regions (Marhaento et al, 2016;Sharifi et al, 2021).…”

Section: Uncertainties and Limitationssupporting

confidence: 91%

Quantifying the impact of climate change and human activities on runoff at a tropical watershed in South China

Zhu²,

Xu³

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

Different regions exhibit different response patterns of hydrological process changes under changing environments. The hydrological response mechanism of underlying surface changes in tropical rainforest regions remains uncertain, so there is an urgent need to study the causes of hydrological changes in typical tropical watersheds. The sequential clustering analysis and Pettitt-Mann-Whitney test were employed to detect abrupt change points of runoff series for the Wanquan River Basin in the tropics, and the series was then divided into pre-impact period (1967–1990) and post-impact period (1991–2014). And the Soil and Water Assessment Tool (SWAT) model was used to simulate the runoff to quantify the impact of climate change, land use change and other human activities on runoff, which the latter two collectively referred to as “human activities” in this study. The findings reveal: 1) runoff series showed an abrupt change and a downward trend around the year 1990; the SWAT model has a good simulation in the Wanquan River Basin during the pre-impact period; the coefficients of determination (R2) for the calibration and validation periods are both 0.91, and the Nash-Sutcliffe model efficiency coefficients (NSE) for the calibration and validation periods are 0.89 and 0.86, respectively. 2) There was a considerable change in land use between 1967 and 2014, as evidenced by a decrease of 29.54% in natural forest and an increase of 54.90% in rubber. These land use changes were mostly caused by the transformation of tropical rainforests into rubber forests and orchards. 3) Runoff declined in the post-impact period from the pre-impact period, with climate change, land use change, and other human activities contributing 44.05%, 10.83%, and 45.12% to the runoff change, respectively. The conversion of tropical rain forests to rubber forests and orchards has indirectly led to a reduction in runoff. These results can provide a reference for understanding the evolution of water cycle for other tropical rivers.

show abstract

Section: Uncertainties and Limitationssupporting

confidence: 91%

Quantifying the impact of climate change and human activities on runoff at a tropical watershed in South China

Zhu²,

Xu³

et al. 2022

Front. Environ. Sci.

View full text Add to dashboard Cite

show abstract

“…In addition, attribution analysis of the impacts of climate change and human activities on baseflow was conducted. For this purpose, sensitivity analysis [43,44], multiple linear regression (MLR) analysis [45,46], and the Budyko hypothesis [47][48][49] were used, and the results of these three methods were compared. Finally, wavelet analysis was used to investigate the periodic changes in baseflow and correlations between baseflow and large-scale climate patterns (the ENSO and PDO).…”

Section: Methodsmentioning

confidence: 99%

“…This study assessed the impacts of climate change and human activities on baseflow using MLR analysis [45,46]. The climate variables and baseflow time series were divided into pre-and post-periods according to change point analysis.…”

Section: Multiple Linear Regression Analysismentioning

confidence: 99%

Baseflow Variation in Southern Taiwan Basin

et al. 2023

View full text Add to dashboard Cite

Baseflow is among the most important components of streamflow. It is the main source of streamflow from groundwater systems in the dry season and also plays an important role as a water resource in the ecological environment and for human activities. In recent years, because of climate change, the number of dry season days in Taiwan has increased, and the wet season has been delayed, resulting in fewer rainy days and increased precipitation intensity. In addition, the spatial distribution of rainfall is uneven, and rivers are short and fast-flowing. Taiwan has become a country with abundant rainfall but insufficient water resources; therefore, the assessment of baseflow is important. This study selected eight basins with distinct wet and dry seasons in southern Taiwan as the study area. The baseflow characteristics and their relationships with climate features were assessed using time series analysis, baseflow attribution analysis, and wavelet analysis. The results showed that baseflow has an increasing trend; both precipitation and evapotranspiration have a significant positive correlation with baseflow, and the impact of precipitation is greater than that of evaporation. Sensitivity analysis showed that baseflow increases with increasing evaporation and precipitation; this behavior is related to the concentration of precipitation and evaporation in the wet season. Baseflow attribution analysis showed that the contribution of climate change to baseflow (75.0%) was larger than that of human activities (−2.9%), indicating that climate change was the main factor in the increase in baseflow. Wavelet analysis showed that both the El Niño–Southern Oscillation (ENSO) and Pacific Decadal Oscillation (PDO) are correlated with baseflow, where the PDO is more strongly correlated than the ENSO. The main timescales of the ENSO and PDO are a 4–8-year band and an 8-year band, respectively. The ENSO may have a timescale above the 8-year band, and the PDO exhibits periodic correlation changes at a 1-year band.

show abstract

“…En la Orinoquia los POMCAs están aportando información, que puede ser complementada por entidades locales para aplicación en territorio. La cuenca del Rio Negro en el Meta de reciente publicación, por ejemplo pone a disposición mapas de coberturas actualizadas, geomorfología, simulaciones de caudal, entre otros datos que podrán enriquecer nuevas investigaciones (CORMACARENA, 2018) (Caplan et al, 2019;Sharifi et al, 2021). Estudios del panel intergubernamental de cambio climático IPCC, han demostrado que, bajo el calentamiento global, la variabilidad climática es más frecuente, espacialmente extensa y de mayor duración, convirtiéndose en una limitación significativa para las actividades agrícolas (IPCC, 2014).…”

Section: Oferta Hídricaunclassified