A linked surface water-groundwater modelling approach to more realistically simulate rainfall-runoff non-stationarity in semi-arid regions

Deb, Proloy; Willgoose, Garry

doi:10.1016/j.jhydrol.2019.05.039

Cited by 87 publications

(40 citation statements)

References 65 publications

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“…The results from Figure 2 and Table 2 support recent work (e.g., Deb et al ., 2019a, 2019b) that shows that the various facets of the hydrological cycle which contribute to the persistence of “drought” conditions are not stationary in space or time, and are rarely the result of reduced rainfall alone. A good example of this is the contrasting characterization of the WWII and Millennium droughts and the persistence of drought conditions inland compared with the coast according to the sc‐PDSI.…”

Section: Resultsmentioning

confidence: 99%

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Comparing the performance of drought indicators in Australia from 1900 to 2018

Askarimarnani

Kiem

Twomey

2020

Intl Journal of Climatology

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Drought is a complex natural hazard caused by a combination of atmospheric and hydrological processes. Many different drought indicators have been developed, with each indicator varying in its calculation and its focus on different types of drought (e.g., meteorological, agricultural, hydrological, socioeconomic , etc.). Despite this, drought still remains poorly understood. The objective of this study is to compare different drought indicators and highlight their similarities, differences, strengths and weaknesses. To do this, 11 drought indicators were calculated for different parts of Australia, a country that is prone to droughts. Three periods of major drought including the Federation drought (1895-1902), World War II drought (1937-1945), and the Millennium drought (1997-2010) were examined in detail. The results demonstrate that different indicators say very different things about the onset, severity, and end of drought conditions for a given location or area. This is especially the case for drought indicators that use precipitation as their only input and highlights that drought is more than just a lack of rainfall. Further, the use of varying temporal resolution in the calculated drought indicators also leads to large differences in the quantification of drought persistence. Our ability to manage the impact of drought on society and the environment is dependent on our ability to successfully identify and characterize drought. As such, it is important to understand sensitivities and uncertainties associated with: (a) the choice of drought indicator(s) and (b) the choice of time step used to calculate the drought indicator(s). To properly characterize drought, and to successfully quantify and manage the environmental and socioeconomic impacts of drought, the drought indicators employed must realistically capture all the different types of drought and how they evolve.

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Section: Resultsmentioning

confidence: 99%

“…Drought is difficult to predict because of the complex atmospheric and hydrological mechanisms that together determine the availability of water (Mishra and Singh, 2010; Gibson et al ., 2019; Deb et al ., 2019a, 2019b). There is also no globally accepted definition for drought (Yihdego et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

Comparing the performance of drought indicators in Australia from 1900 to 2018

Askarimarnani

Kiem

Twomey

2020

Intl Journal of Climatology

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“…This currently accounts for highest non‐renewable groundwater abstraction from a global standpoint (Gandhi & Namboodiri, 2009). With the ever‐increasing anthropogenic abstractions, along with the uncertain implications of the changing climate on groundwater, there is a dire need to understand the related hydrological processes and controlling factors regulating the dynamic interaction of groundwater recharge and baseflow (Deb, Kiem, & Willgoose, 2019b; Todd, 2019) in the region. It is therefore essential to understand the precipitation–recharge relationships (groundwater sensitivity) in response to various anthropogenic and natural disturbances.…”

Section: Introductionmentioning

confidence: 99%

Quantifying groundwater sensitivity and resilience over peninsular India

Kumar

Sinha

Madramootoo

et al. 2020

Hydrological Processes

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Groundwater in India plays an important role to support livelihoods and maintain ecosystems and the present rate of depletion of groundwater resources poses a serious threat to water security. Yet, the sensitivity of the hydrological processes governing groundwater recharge to climate variability remains unclear in the region. Here we assess the groundwater sensitivity (precipitation-recharge relationship) and its potential resilience towards climatic variability over peninsular India using a conceptual water balance model and a convex model, respectively in 54 catchments over peninsular India. Based on the model performance using a comprehensive approach (Nash Sutcliffe Efficiency [NSE], bias and variability), 24 out of 54 catchments are selected for assessment of groundwater sensitivity and its resilience. Further, a systematic approach is used to understand the changes in resilience on a temporal scale based upon the convex model and principle of critical slowing down theory. The results of the study indicate that the catchments with higher mean groundwater sensitivity (GWS) encompass high variability in GWS over the period (1988-2011), thus indicating the associated vulnerability towards hydroclimatic disturbances. Moreover, it was found that the catchments pertaining to a lower magnitude of mean resilience index incorporates a high variability in resilience index over the period (1993-2007), clearly illustrating the inherent vulnerability of these catchments. The resilience of groundwater towards climatic variability and hydroclimatic disturbances that is revealed by groundwater sensitivity is essential to understand the future impacts of changing climate on groundwater and can further facilitate effective adaptation strategies.

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“…Generally, karst springs are the source of rivers and supply water to downstream regions, which is vital for economic development, especially in regional ecological environments. However, extensive groundwater development and climate variation have caused a decline in karst groundwater levels and spring flow, even drying up in many parts of the world, such as the Ras El Ain spring in Syria [5], the dolomitic springs in the Republic of South Africa (i.e., the Venterspost Eye and the Oberholzer Eye) [6,7], and some karst springs in Greece and Australia [8][9][10]. In northern China, the situation is grim with the drying up of Jinci Springs, Lancun Springs, Gudui Springs, Heilongdong Springs, and Zhougong Springs [11].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Karst Spring Flow Cessation Using Grey System Models

Guo

Yeh

Hao

2019

Water

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Karst aquifers are prominent sources of water worldwide; they store large amounts of water and are known for their beautiful springs. However, extensive groundwater development and climate variation has resulted in a decline in the flow of most karst springs; some have even dried up. In order to obtain a better understanding of the factors contributing to this development, this study introduced grey system models, which quantified spring flow, taking Jinci Springs (China), which dried up in May 1994, as an example. Based on the characteristics of Jinci Springs, spring flow was divided into two stages: first (1954–1960), when the spring flow was affected only by climate variation; and second (1961–1994), when the flow was impacted by both climate variation and anthropogenic activities. The results showed that Jinci Springs flow had a strong relationship with precipitation occurring one year and three years earlier in the first stage. Subsequently, a grey system GM (1,3) model with one-year and three-year lags was set up for the first stage. By using the GM (1,3) model, we simulated the spring flow in the second stage under effects of climate variation only. By subtracting the observed spring flow from the simulated flow, we obtained the contribution of anthropogenic activities to Jinci Springs’ cessation. The contribution of anthropogenic activities and climate variation to the decline was 1.46 m3/s and 0.62 m3/s, respectively. Finally, each human activity that caused the decline was estimated. The methods devised herein can be used to describe karst hydrological processes that are under the effects of anthropogenic activities and climate variation.

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A linked surface water-groundwater modelling approach to more realistically simulate rainfall-runoff non-stationarity in semi-arid regions

Cited by 87 publications

References 65 publications

Comparing the performance of drought indicators in Australia from 1900 to 2018

Comparing the performance of drought indicators in Australia from 1900 to 2018

Quantifying groundwater sensitivity and resilience over peninsular India

Investigation of Karst Spring Flow Cessation Using Grey System Models

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