Impact Assessments of Rainfall–Runoff Characteristics Response Based on Land Use Change via Hydrological Simulation

Zhou, Mi; Qu, Simin; Chen, Xueqiu; Shi, Peng; Xu, Shijin; Chen, Hongyu; Zhou, Haijun; Gou, Jianfeng

doi:10.3390/w11040866

Cited by 11 publications

(9 citation statements)

References 34 publications

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“…In these three sub-catchments, the linearity and the stability of DMC (Supplementary Material 2, Figure 8(a)-8(c)-8(e)) indicated that the hydrological processes seemed stable over time and that the variation in specific discharge linearly followed the variation in precipitation. This observation suggested that these three sub-catchments have not experienced significant changes that could influence the precipitationspecific discharge relationship over a short time scale, such as agricultural development, wetland drainage, dam construction, urbanisation, land abandonment, afforestation or deforestation (Mao & Cherkauer 2009;Zhou et al 2019).…”

Section: The Precipitation-specific Discharge Relationshipmentioning

confidence: 94%

Changes in precipitation and discharge in a Mediterranean catchment as a response to climate change and human activities

Hrour

Thomas

Fovet

et al. 2022

Journal of Water and Climate Change

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The Mediterranean region is considered to be highly affected by climate change with rainfall deficits leading to a significant decrease in rivers discharge. This study aims to assess the impacts of climate change on water resources in a Mediterranean catchment, namely the Bas-Loukkos catchment (Morocco), where pressure on the water resources is already present due to intensive hydro-agricultural development and is likely to increase. Mann–Kendall, Pettitt and Buishand tests were used to analyze trends and detect breakpoints in discharge and precipitation time series over the period 1960–2018. The precipitation–specific discharge relationships has been analysed by the double-mass curve (DMC). The analyses highlighted a decreasing trend in precipitation. A significant breakpoint was detected in early 1970 s, with mean annual precipitation decreasing by 16–26% after this period. Discharge decreased by approximately 35% beginning in the late 1970 s/early 1980 s. The DMC showed different patterns between ‘undisturbed’ sub-catchments and two intensively managed sub-catchments. Wettest Mediterranean catchments are often considered as future water reservoirs to support part of the water needs in arid catchments. This study highlights that such catchments may already be impacted by climate changes, with discharge decreasing, and by water human activities that exert major main pressure on water resources.

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Section: The Precipitation-specific Discharge Relationshipmentioning

confidence: 94%

Changes in precipitation and discharge in a Mediterranean catchment as a response to climate change and human activities

Hrour

Thomas

Fovet

et al. 2022

Journal of Water and Climate Change

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“…Determination of T L can give appropriate information on the time of peak flood release from a river basin, which is vital to manage river flooding (Zhou et al, 2019). It could be a comprehensive index associated with various internal hydrological processes in catchments.…”

Section: Introductionmentioning

confidence: 99%

“…Land-use planning and management are crucial factors that influence the sustainability of water resources (Homdee et al, 2011). Changes in land use and management practices can lead to alterations in key hydrological elements, such as evapotranspiration (Liu et al, 2008;Zhou et al, 2019), runoff depth (Sultan et al, 2017(Sultan et al, , 2018a(Sultan et al, , 2018b, mean annual runoff (Ebabu et al, 2018), soil erosion (Fenta et al, 2020(Fenta et al, , 2021, and groundwater quality (Abdulkareem et al, 2019), thereby affecting overall basin hydrology (Abdulkareem et al, 2017(Abdulkareem et al, , 2018Setargie et al, 2021;Zhou et al, 2019). Amini et al (2009) showed that river floods were sensitive to land-use change, but they were essentially dependent on the climate and geomorphologic characteristics of river basins.…”

Section: Introductionmentioning

confidence: 99%

“…Several research outputs have shown that alteration of land use can have a noteworthy impact on the hydrology of river basins, primarily observed as changes in the runoff amount (Berihun et al, 2019b) and flood frequency (Brath et al, 2006). Determination of T L can give appropriate information on the time of peak flood release from a river basin, which is vital to manage river flooding (Zhou et al, 2019). It could be a comprehensive index associated with various internal hydrological processes in catchments.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing the influence of changes in land use and management practices on the lag time of peak flows for tropical watersheds of Ethiopia

Sultan

Tsunekawa

Tsubo

et al. 2023

River Research & Apps

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Changes in peak flow response time governed by rainfall and physical configurations of watersheds have been the topic of many studies, but other factors are also important. We aimed to analyze the dynamics in the lag time (T L ) of peak flow for a tropical watershed (Kecha) and its sub-watersheds (Dokmit, Zenjero Maderia, and Wotit Minch) in Ethiopia, as influenced by land-use changes from 1982 to 2017 and the implementation of soil and water conservation (SWC) practices since 2011. Layered maps of land use, soil type, and SWC practices were used to determine the curve number, and the Natural Resource Conservation Service hydrologic model was used to estimate T L . We compared the estimated values against measured median values of T L for 30 rainfall-runoff events. The estimated T L of 1982, 2005, and 2017 varied from 9 to 19 min, 8 to 18 min, and 10 to 22 min, respectively, in the Dokmit, Zenjero Maderia, and Wotit Minch subwatersheds. The smallest (8 min) and greatest (22 min) values of T L were observed during 2005 and 2017, respectively. These results are likely attributable to the increased amount of cultivated area at the expense of bushland and forest in 2005 as compared to 1982, and the implementation of SWC practices in 2011-2017. Dokmit had the lowest T L values of the three sub-watersheds, most likely because of its greater coverage of grazing and cultivated lands and degraded Nitic Luvisol. The variation in T L values among the sub-watersheds was related to changes in both land use and SWC practices but also to the presence of degraded areas inherited from past human activities. Overall, such spatiotemporal flow response time analysis can provide useful information for the proper design of sustainable development strategies for particular niches in tropical regions of Ethiopia and elsewhere.

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“…Under the background of increasingly significant environmental changes, the traditional stable watershed assumption in hydrological simulation is facing challenges, which makes the model parameters, representing the hydrological characteristics of the watershed in the model, no longer hold the fixed assumption and weaken the evaluation ability [2]. Studying the parameter characteristics of the hydrological model of the "Unsteady" watershed and improving the simulation effect of the model in the changing environment can provide technical support for the current and future flood control, drought resistance, water resources planning, and management [3]. For example, studies by many scholars show that since the 1970s, with the trend increase in precipitation in the United States, runoff in most parts of the United States has also shown an obvious increasing trend [4].…”

Section: Introductionmentioning

confidence: 99%

Application of Long Short-Term Memory (LSTM) on the Prediction of Rainfall-Runoff in Karst Area

Fang

Shao

2022

Front. Phys.

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In actual engineering fields, the bearing capacity of a rock is closely related to the pore water pressure in the rock. Studies have shown that the pore water in the rock has a great relationship with the change in runoff. Thus, it has crucial meaning to accurately evaluate and quantitate the property of the rainfall–runoff, and many traditional classic models are proposed to study the characteristic of rainfall–runoff. While considering the high uncertainty and randomness of the rainfall–runoff property, more and more artificial neural networks (ANN) are used for the rainfall–runoff modeling as well as other fields. Among them, the long short-term memory (LSTM), which can be trained for sequence generation by processing real data sequences one step at a time and has good prediction results in other engineering fields, is adopted in this study to investigate the changes of rainfall–runoff values and make a prediction. In order to ensure the accuracy of the trained model, the cross-validation method is used in this study. The training data set is divided into 12 parts. The monthly forecast results from 2014 to 2015 show that the model can well reflect the peaks and troughs. In a recent study, the relationship between the rainfall–runoff and discharge are commonly based on the current measured data, while the prediction results are adopted to analyze the relation of these parameters, and considering that the existing methods have fuzzy relationship between runoff and discharge, which leads to a high risk of forecasting and dispatching. A method of modeling analysis and parameter estimation of hydrological runoff and discharge relationship based on machine learning is designed. From the experimental results, the average risk of this method is 61.23%, which is 15.104% and 13.397% less than that of the other two existing methods, respectively. It proves that the method of hydrological runoff relationship modeling and parameter estimation integrated with machine learning has better practical application effect.

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Impact Assessments of Rainfall–Runoff Characteristics Response Based on Land Use Change via Hydrological Simulation

Cited by 11 publications

References 34 publications

Changes in precipitation and discharge in a Mediterranean catchment as a response to climate change and human activities

Changes in precipitation and discharge in a Mediterranean catchment as a response to climate change and human activities

Analyzing the influence of changes in land use and management practices on the lag time of peak flows for tropical watersheds of Ethiopia

Application of Long Short-Term Memory (LSTM) on the Prediction of Rainfall-Runoff in Karst Area

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