Surface flood and underground flood in Xiangxi River Karst Basin: Characteristics, models, and comparisons

Luo, Mingming; Chen, Zhihua; Dechao, Yin; Jakada, Hamza; Huang, He; Zhou, Hong; Wang, Tao

doi:10.1007/s12583-016-0624-5

Cited by 18 publications

(11 citation statements)

References 9 publications

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“…Karst is well developed in South China, and many karst springs emerge at the perimeter of highly karstified areas. Most of these springs respond rapidly to concentrated recharge events, displaying sharp hydrographs that are similar to those for surface creeks or small rivers (Luo et al ., ). The CW model offers a simple tool to simulate underground floods during the flood season and should find wide application for flood risk and water resource management in South China.…”

Section: Resultsmentioning

confidence: 99%

“…Rainfall events during the flood season from April to September account for 78.3% of annual total precipitation, and there is very little snow in the dry winter. Forest covers 60.3% of this area (Luo et al, 2016). Spectacular karst geomorphology featuring high relief is widely developed in the Cambrian and Ordovician dolostone and limestone units that are widespread in the study area, and many closed depressions and sinkholes offer passages for the recharge of rainfall and overland flow (Luo et al, 2014).…”

Section: Study Area and Datasetsmentioning

confidence: 99%

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Method for calibrating a theoretical model in karst springs: an example for a hydropower station in South China

Luo

Chen

Criss³

et al. 2016

Hydrological Processes

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A theoretical, dimensionless rainfall–runoff model was used to simulate the discharge of Wulongdong spring in western Hubei province, South China. The single parameter (time constant τ) in the model is easy to obtain by fitting the recession rate of the observed hydrographs. The model was scaled by simply matching the total annual flow volume of the model to the observed value. Annual distribution of actual evapotranspiration was embedded in the model input to calculate the accumulated deficit of soil moisture before each rain event. Hourly precipitation input data performed better than daily data, defining τ of 0.85 days and returning a Nash–Sutcliffe efficiency of 0.89 and the root mean square error of 0.07. This model offers an effective way to simulate the discharge of karst springs that respond sensitively to rainfall events. The model parameters of a successful simulation can be used to estimate the recharge area and indicate the intrinsic response time of the basin. Copyright © 2016 John Wiley & Sons, Ltd.

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Section: Resultsmentioning

confidence: 99%

Section: Study Area and Datasetsmentioning

confidence: 99%

Method for calibrating a theoretical model in karst springs: an example for a hydropower station in South China

Luo

Chen

Criss³

et al. 2016

Hydrological Processes

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“…where Q 0 is the initial flow; Q t is the flow at any moment, and α is the recession coefficient (coefficient of discharge) with dimension [T −1 ]. It is estimated by plotting the recession limb in a semi-logarithmic plot where Equation (1) appears as a straight-line plot with constant slope independent of the initial Q 0 value [16]. Based on the logarithmic scale, the recession curves can generally be classified into several segments, as shown in Figure 4, based on inflection points which are indicative of a transition (micro-regimes) in the drainage structure.…”

Section: Hydrograph Recession Curve Analysismentioning

confidence: 99%

“…Consequently, we can infer major sources and storage systems such as overland and subsurface flows as well as estimate specific volumes of each segment (area under the curve) ( Figure 4). For heterogeneous aquifers, on a small scale, especially in areas with highly karstified media, the recession curve can be classified into three (3) or more segments [16,17]. Aquifers with a linear storage function have been reported to have no significant inflections and thus can be hardly segmented.…”

Section: Hydrograph Recession Curve Analysismentioning

confidence: 99%

“…Since then, it has been widely used for hydrograph recession and base-flow analyses for low flow forecasting, drainage basin studies, pollution sensitivity studies [12,[14][15][16][17][18]36,37]. This model can describe a relatively closed, independent and large reservoirs whose main water source is precipitation and major losses are through streamflow discharge [16]. Miao and Miao [38] showed how it could be used to describe the drainage of the aquifer reserves over time.…”

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Watershed Characterization and Hydrograph Recession Analysis: A Comparative Look at a Karst vs. Non-Karst Watershed and Implications for Groundwater Resources in Gaolan River Basin, Southern China

Jakada

Chen

Luo

et al. 2019

Water

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Karst watersheds are often treated as non-karst watersheds that can lead to several hazards. Hence, how do karst watersheds differ from non-karst watersheds and what are the effects of karstification on groundwater availability and quality? In this study, we contrast between a karst and non-karst watershed by elucidating their geomorphological peculiarities and potential impact on spatio-temporal availability and quality of groundwater. GIS morphometric mapping and hydrograph recession analysis are applied to map the watershed features and estimate hydrograph recession coefficient to define the groundwater drainage characteristics as well as the influence of karst drainage attributes (KDA). Furthermore, we characterize streamflow components based on the hydrograph recession limbs (segments) and infer their contributing geomorphological factors. Results show that the karst watershed has higher recession coefficients for successive recession limbs. Consequently, it drains larger volumes of groundwater primarily due to the KDAs, which transmit interflow and groundwater flow more rapidly through large cavities to springs as well as stream channels. The KDAs generate what we term karst drainage flow (KDF), defined by the second recession limb which has high recession coefficient as the first limb (overland flow) and strongly contrasts with the non-karst watershed from visual and ANOVA analysis. The effect is that karst aquifer yield over time is significantly lower and highly exposed to pollution compared to the non-karst aquifer. Consequently, sustainable water management practices should be adopted to ensure the availability and safety of groundwater reserves.

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Comparison of streamflow recession between plantations and native forests in small catchments in Central‐Southern Chile

Balocchi

Flores

Arumí

et al. 2021

Hydrological Processes

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In central Chile, many communities rely on water obtained from small catchments in the coastal mountains. Water security for these communities is most vulnerable during the summer dry season and, from 2010 to 2017, rainfall during the dry season was between 20% and 40% below the long‐term average. The rate of decrease in stream flow after a rainfall event is a good measure of the risk of flow decreasing below a critical threshold. This risk of low flow can be quantified using a recession coefficient (α) that is the slope of an exponential decay function relating flow to time since rainfall. A mathematical model was used to estimate the recession coefficient (α) for 142 rainstorm events (64 in summer; 78 in winter) in eight monitored catchments between 2008 and 2017. These catchments all have a similar geology and extend from 35 to 39 degrees of latitude south in the coastal range of south‐central Chile. A hierarchical cluster analysis was used to test for differences between the mean value of α for different regions and forest types in winter and summer. The value of α did not differ (p < 0.05) between catchments in winter. Some differences were observed during summer and these were attributed to morphological differences between catchments and, in the northernmost catchments, the effect of land cover (native forest and plantation). Moreover, α for catchments with native forest was similar to those with pine plantations, although there was no difference (p < 0.05) between these and Eucalyptus plantations. The recession constant is a well‐established method for understanding the effect of climate and disturbance on low flows and baseflows and can enhance local and regional analyses of hydrological processes. Understanding the recession of flow after rainfall in small headwater catchments, especially during summer, is vital for water resources management in areas where the establishment of plantations has occurred in a drying climate.

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Surface flood and underground flood in Xiangxi River Karst Basin: Characteristics, models, and comparisons

Cited by 18 publications

References 9 publications

Method for calibrating a theoretical model in karst springs: an example for a hydropower station in South China

Method for calibrating a theoretical model in karst springs: an example for a hydropower station in South China

Watershed Characterization and Hydrograph Recession Analysis: A Comparative Look at a Karst vs. Non-Karst Watershed and Implications for Groundwater Resources in Gaolan River Basin, Southern China

Comparison of streamflow recession between plantations and native forests in small catchments in Central‐Southern Chile

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