Quantifying streamflow response to climate variability, wastewater inflow, and sprawling urbanization in a heavily modified river basin

Somorowska, Urszula; Łaszewski, Maksym

doi:10.1016/j.scitotenv.2018.11.331

Cited by 21 publications

(9 citation statements)

References 44 publications

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“…The adapted framework is applicable to heavily modified river basins under the influence of different factors that act simultaneously. This manuscript is meant to provide a step-by-step explanation of how to apply the elaborated adaptation used previously in Somorowska and Łaszewski [2] where it was described with fewer details. The main steps of the SSII-Evap method are presented using an example of the 727 km 2 mesoscale Utrata River Basin (URB) in central Poland, which is influenced by a varying humid temperate climate, wastewater inflow, and urbanization (Fig.…”

Section: Methods Detailsmentioning

confidence: 99%

“…Predicted actual evapotranspiration, Emodel, was greater than ESSEBopfalse(CPfalse). Greater Emodel is explained by the changes in vegetation and land cover that took place over the decades between the baseline and change periods in the URB [2]. Urban growth occurs at the expense of the forested and agricultural land areas, which are much more evaporatively active than partially impervious urban and suburban surfaces.…”

Section: Step 6: Include Ssii-evap Bias Correction Into Calculus Of Tmentioning

confidence: 99%

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SSII-Evap: Simplified scheme to incorporate improved evapotranspiration estimates into the streamflow elasticity framework

Somorowska

2019

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Section: Methods Detailsmentioning

confidence: 99%

Section: Step 6: Include Ssii-evap Bias Correction Into Calculus Of Tmentioning

confidence: 99%

SSII-Evap: Simplified scheme to incorporate improved evapotranspiration estimates into the streamflow elasticity framework

Somorowska

2019

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“…near the springs of the Rządza River. The catchments are located in a transitional zone of warm temperate climate (from marine to continental), and due to the small differences in elevation, as well as the similar dominant direction of air mass inflow, spatial diversity of precipitation and air temperature is relatively small; the sum of long-term annual precipitation reaches approximately 500-550 mm, while the mean annual air temperature ranges from 8 to 9 °C (Somorowska and Łaszewski 2019). The hydrological regime of the watercourses can be considered to be nival, with the highest streamflow rates observed in March and April in result of snowmelt, and the lowest usually occurring during the hot summer, mainly throughout July, August, and September (Somorowska and Łaszewski 2017).…”

Section: Study Areamentioning

confidence: 99%

The effect of environmental drivers on summer spatial variability of water temperature in Polish lowland watercourses

Łaszewski

2020

Environ Earth Sci

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Thermal properties of streams and rivers, due to significant impact on biota and other physico-chemical water properties, were broadly recognized in hydrological literature last years. Nevertheless, water temperature of temperate lowland watercourses has received relatively small attention, despite the development of new measurement devices and techniques. Thus, the current study attempt to document spatial water temperature variability of lowland watercourses and examined the effects of environmental drivers on their thermal heterogeneity. For this purpose, water temperature was monitored from May to October 2017 with the use of digital data loggers in 20 sites located in central Poland, representing two spatial scales-main rivers (MR) and tributaries (TR). On the basis of the measurement data, statistical distribution of magnitude and variability water temperature parameters was presented, whereas cluster analysis (Ward method) was used to group sites similar in their thermal properties. Furthermore, selected catchment and channel metrics were computed using GIS software for each site, which in combine with the principal component analysis allowed to assess the effect of such metrics on thermal parameters. Then, to support the findings of PCA and assess meteorological dependence of the water temperature, linear regression between daily mean water and air temperatures was performed. The results indicate that in terms of magnitude and variability parameters TR scale sites demonstrated clear thermal heterogeneity, particularly in comparison to MR sites, characterized by similar thermal properties even between separate, independent catchments; in such sites the highest thermal contrast were related to anthropogenic impacts, such as reservoir releases and sewage inflows. Clear longitudinal zonation of water temperature parameters was found as presented by first two principal components, which was related to transition from small headwater sites to the largest, downstream catchments, driven mainly by changes of catchment area, mean slope, and width:depth ratio. The increase of the catchment area also resulted in a shift in linear regression parameters, which suggested higher meteorological control in the downstream direction and simultaneously, lower impacts of groundwater inflows. The obtained results provide new insight into lowland watercourses temperature behavior, being of primary significance in the context of fisheries and environmental management, particularly in the face of climate warming and increasing anthropopressure.

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“…Several studies have shown that changes in flow time series are due to climatic [7][8][9][10] and/or anthropogenic factors [11][12][13]. To analyze the hydrological behavior in a watershed it is important to determine maximum and minimum flow trends; however, ascertaining the history of a basin can be a difficult task when the available hydrometeorological information is limited [14].…”

Section: Introductionmentioning

confidence: 99%

Estimation of Annual Maximum and Minimum Flow Trends in a Data-Scarce Basin. Case Study of the Allipén River Watershed, Chile

Medina

Muñoz

2020

Water

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Data on historical extreme events provides information not only for water resources planning and management but also for the design of disaster-prevention measures. However, most basins around the globe lack long-term hydro-meteorological information to derive the trend of hydrological extremes. This study aims to investigate a method to estimate maximum and minimum flow trends in basins with limited streamflow records. To carry out this study, data from the Allipén River watershed (Chile), the Hydrologiska Byråns Vattenbalansavdelning (HBV) hydrological model at a daily time step, and an uncertainty analysis were used. Through a calibration using only five years of records, 21-year mean daily flow series were generated and the extreme values derived. To analyze the effect of the length of data availability, 2, 5, and 10 years of flows were eliminated from the analyses. The results show that in the case of 11 years of simulated flows, the annual maximum and minimum flow trends present greater uncertainty than in the cases of 16 and 19 years of simulated flows. Simulating 16 years, however, proved to properly simulate the observed long-term trends. Therefore, in data-scarce areas, the use of a hydrological model to simulate extreme mean daily flows and estimate long-term trends with at least 16 years of meteorological data could be a valid option.

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Quantifying streamflow response to climate variability, wastewater inflow, and sprawling urbanization in a heavily modified river basin

Cited by 21 publications

References 44 publications

SSII-Evap: Simplified scheme to incorporate improved evapotranspiration estimates into the streamflow elasticity framework

SSII-Evap: Simplified scheme to incorporate improved evapotranspiration estimates into the streamflow elasticity framework

The effect of environmental drivers on summer spatial variability of water temperature in Polish lowland watercourses

Estimation of Annual Maximum and Minimum Flow Trends in a Data-Scarce Basin. Case Study of the Allipén River Watershed, Chile

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