The Impacts of Climate Variation and Land Use Changes on Streamflow in the Yihe River, China

Xu, Shanshan; Mingzhou, Qin; Ding, Shengyan; Zhao, Qinghe; Liu, Huimin; Li, Cangyu; Yang, Xiaojie; Li, Yanyan; Yang, Jiaxin; Ji, Xiaoyu

doi:10.3390/w11050887

Cited by 9 publications

(4 citation statements)

References 65 publications

(54 reference statements)

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“…This nonparametric test is employed to detect a change in the tendency of a timeseries. The null hypothesis of "no-change" is tested against the alternative that "a change point exists " [49,50]. These results are shown in Figure 5 for the minimum, average, and maximum annual streamflows at the Meta River, considering a 5% significance level to identify the specific location of the change points.…”

Section: Trend Analysis Results For the Annual Average Streamflowmentioning

confidence: 99%

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Arrieta-Castro¹,

Donado-Rodríguez²,

Acuña³

et al. 2020

Water

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The aim of this research is the detection and analysis of existing trends in the Meta River, Colombia, based on the streamflow records from seven gauging stations in its main course, for the period between June 1983 to July 2019. The Meta River is one of the principal branches of the Orinoco River, and it has a high environmental and economic value for this South American country. The methods employed for the trend detection and quantification were the Mann–Kendall (MK) test, the modified MK (MMK) test, and the Sen’s slope (SS) estimator. Statistically significant trends (at a 95% level of confidence) were detected in more than 30% of the 105 evaluated datasets. The results from the MK test indicate the presence of statistically significant downward trends in the upstream stations and upward trends in the downstream stations, with the latter presenting steep positive slopes. The findings of this study are valuable assets for water resources management and sustainable planning in the Meta River Basin.

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Section: Trend Analysis Results For the Annual Average Streamflowmentioning

confidence: 99%

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Arrieta-Castro¹,

Donado-Rodríguez²,

Acuña³

et al. 2020

Water

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“…W wielu obszarach wykazano, że wykrycie wpływu zmieniającego się klimatu na hydrologiczną reakcje rzek może być dodatkowo skomplikowana przez m.in. zmiany w użytkowaniu ziemi (Xu et al, 2019). Kierunek zmian współczynnika odpływu α w analizowanym obszarze Karpat był ujemny, co wskazuje na istotny wpływ zmian użytkowania ziemi.…”

Section: Ryc 8 Zmiany Współczynnika Odpływu α W Badanych Zlewniach Sp...unclassified

Zmiany w strukturze odpływu wody ze zlewni karpackich w półroczu hydrologicznym zimowym w latach 1981‑2020 = Changes in water-runoff patterns in Carpathian catchments during the winter hydrological half-years of the 1981-2020 period

Bochenek

Kijowska-Strugała

2022

Prz. Geogr.

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The main objective of the study was to spatially and temporally determine the structure of channel outflow and the directions of its changes in selected river catchments in the Western Carpathians during the winter hydrological semester, under conditions of climate change and increasing anthropopressure. The study included four drainage basins, representing features of the Beskids Mountain (Soła and Osława catchemnts) and Foothills Mountain (Skawinka and Stobnica catchments). The study cover period 1981-2020. The average outflow of the winter half-year (HWHY) ranged from 150.3 mm (Skawinka) to 348.8 mm (Oslawa), while the share of HWHY in the annual outflow (HA) averaged from 50.9% (Soła) to 60.4% (Stobnica). From 1981 to 2020, HWHY did not show statistically significant directions of change. Negative HWHY trends were found in all the studied catchments since 2000. In the studied catchments, there was a diversity of dominant sources of watercourse supply in HWHY. There was a recession of snowmelt-induced runoff ranging from 0.3 mm yr-1 (Skawinka) to 1.2 mm yr-1 (Soła) and an increase in the role of ground supply of 0.17 mm yr-1 (Skawinka) to 1.04 mm year-1 (Osława). The  runoff coefficient for WHY had lower average values in the foothill catchments: Stobnica (64%) and Skawinka (67%).

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“…The Pettit test [54] can evaluate the probability of the change points occurring at each time. The Mann-Kendall-Sneyers test [55] can approximate the beginning of a change in a time series based on the progressive and retrogressive statistical analysis by the graphical technique [56]. Within this test belonging to the null hypothesis, the intersection of forward and backward sequences inside a confidence interval indicates the beginning of a step change point [57].…”

Section: Time Series Analysismentioning

confidence: 99%

Attribution of Streamflow Variations in Southern Taiwan

Tsao

Lee²,

Yeh³

2020

Water

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Climate change and anthropogenic activity are the main factors impacting the hydrological environment. For sustainable water utilization, identifying the impact contribution of these two factors on the streamflow variations is an important topic in recent research. In this study, seven river basins in southern Taiwan were selected as the study area to evaluate the annual streamflow from 1980 to 2017. The decomposition and elasticity methods based on the Budyko hypothesis were applied to quantify the contribution of climate and anthropogenic factors to the streamflow variations. In addition, the normalized difference vegetation index (NDVI) was used to represent the actual situation of land cover and verify the parameters in the Budyko equation. The two quantitative methods consistently demonstrated that the streamflow variations from pre- to post-period occurred due to the climate factor. The elasticity coefficient of variables demonstrated that the streamflow change is more sensitive to precipitation and this influence reduces from pre- to post-period as the streamflow increase. In the NDVI variations, except for the Yanshui and the Linbain rivers, the Budyko equation parameters changed consistently with NDVI. The present study provides effective results on the contribution of streamflow variations in southern Taiwan to serve as a reference for future water management.

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The Impacts of Climate Variation and Land Use Changes on Streamflow in the Yihe River, China

Cited by 9 publications

References 65 publications

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Analysis of Streamflow Variability and Trends in the Meta River, Colombia

Zmiany w strukturze odpływu wody ze zlewni karpackich w półroczu hydrologicznym zimowym w latach 1981‑2020 = Changes in water-runoff patterns in Carpathian catchments during the winter hydrological half-years of the 1981-2020 period

Attribution of Streamflow Variations in Southern Taiwan

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