Integrating catchment land cover data to remotely assess freshwater quality: a step forward in heterogeneity analysis of river networks

Şandric, Ionuţ; Satmari, Alina; Zaharia, Claudia; Petrovici, Milca; Cîmpean, Mirela; Battes, Karina P.; David, Dragomir-Cosmin; Pacioglu, Octavian; Weiperth, András; Gál, Blanka; Pîrvu, Mălina; Muntean, Hanelore; Neagul, Marian; Spataru, Adrian; Toma, Claudiu G.; Pârvulescu, Lucian

doi:10.1007/s00027-019-0624-5

Cited by 8 publications

(9 citation statements)

References 59 publications

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“…Moreover, with the development of remote sensing technology, many researchers are focusing on remote water quality assessment. For example, Li et al used remote sensing and the spatial simulated annealing integrated approach to assess the water quality of high dynamic lakes [8].Şandric et al, based on land cover data, defined a remote measure of the potential of pollution, named RWQ, and showed a good result in water quality assessment [9].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics of the Water Quality and Its Multiscale Relationship with Land Use in the Yangtze River Basin

Zeng

et al. 2021

Remote Sensing

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The spatiotemporal characteristics of river water quality are the key indicators for ecosystem health evaluation in basins. Land use patterns, as one of the main driving forces of water quality change, affect stream water quality differently with the variations in the spatiotemporal scales. Thus, quantitative analysis of the relationship between different land cover types and river water quality contributes to a better understanding of the effects of land cover on water quality, the landscape planning of water quality protection, and integrated water resources management. Based on water quality data of 2006–2018 at 18 typical water quality stations in the Yangtze River basin, this study analyzed the spatial and temporal variation characteristics of water quality by using the single-factor water quality identification index through statistical analysis. Furthermore, the Spearman correlation analysis method was adopted to quantify the spatial-scale and temporal-scale effects of various land uses, including agricultural land (AL), forest land (FL), grassland (GL), water area (WA), and construction land (CL), on the stream water quality of dissolved oxygen (DO), chemical oxygen demand (CODMn), and ammonia (NH3-N). The results showed that (1) in terms of temporal variation, the water quality of the river has improved significantly and the tributaries have improved more than the main rivers; (2) in the spatial variation respect, the water quality pollutants in the tributaries are significantly higher than those in the main stream, and the concentration of pollutants increases with the decrease of the distance from the estuary; and (3) the correlation between DO and land use is low, while that between NH3-N, CODMn, and land use is high. CL and AL have a negative effect on water quality, while FL and GL have a purifying effect on water quality. In particular, AL and CL have a significant positive correlation with pollutants in water. Compared with NH3-N, CODMn has a higher correlation with land use at a larger scale. The results highlight the spatial scale and seasonal dependence of land use on water quality, which can provide a scientific basis for land management and seasonal pollution control.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics of the Water Quality and Its Multiscale Relationship with Land Use in the Yangtze River Basin

Zeng

et al. 2021

Remote Sensing

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“…A good quality and the right amount of surface water have been crucial for human well-being and life in general ever since (Water Framework Directive 2000). These two aspects: quality and quantity, are determined to a significant degree by the ecosystems surrounding the water bodies (Dingman 2015;Erős et al 2019;Şandric et al 2019). The quality of water can be impaired by processes within the catchment area.…”

Section: Introductionmentioning

confidence: 99%

The effect of future land use changes on hydrologic ecosystem services: a case study from the Zala catchment, Hungary

2020

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Maintaining and, where possible, improving the ecological status of our water resources are of particular importance for the future. So, one of the main drivers of landscape design must be to protect our waters. In this study, we carried out an evaluation of four hydrologic ecosystem services (HES) in the Zala River catchment area, the largest tributary of Lake Balaton (more than half of the lake’s surface inflow comes from the Zala River), Hungary. The lake has great ecological, economic and social importance to the country. We used the cell-based InVEST model to quantify the spatial distribution of flood control, erosion control and nutrient retention ecosystem services for phosphorus and nitrogen; then, we carried out an aggregated evaluation. Thereby, we localized the hot spots of service delivery and tested the effect of focused land use changes in critical areas of low performance on the examined four HES. Forests proved to have the best aggregated result, while croplands near the stream network performed poorly. The modelled change in land use resulted in significant improvement on nutrient filtration and moderate to minimal but improving change for the other HES in most cases. The applied method is suitable as a supporting tool at the watershed level for decision-makers and landscape designers with the aim of protecting water bodies.

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“…We used RIVERenhancer to remotely estimate water quality by using the variable RWQ as defined by ref. 34 , based on land cover data extracted from remote sensing images. Considering that each cell in the river raster collects environmental influences from its upstream drainage basin, RWQ is defined using the Corine Land Cover (version 18.5.1; https://land.copernicus.eu ) categories found in the catchment area of each cell in the river network grouped by anthropogenic influence potential 35 and weighted by their respective areas in the catchment 34 .…”

Section: Methodsmentioning

confidence: 99%

“… 34 , based on land cover data extracted from remote sensing images. Considering that each cell in the river raster collects environmental influences from its upstream drainage basin, RWQ is defined using the Corine Land Cover (version 18.5.1; https://land.copernicus.eu ) categories found in the catchment area of each cell in the river network grouped by anthropogenic influence potential 35 and weighted by their respective areas in the catchment 34 . Flash-flood potential (FFP) was used to quantify the riverbed stability 32 ; it estimates the potential for flood-related disturbance to streams by taking into account the potential drainage velocity both upstream and at the site.…”

Section: Methodsmentioning

confidence: 99%

The future of endangered crayfish in light of protected areas and habitat fragmentation

Pârvulescu

Iorgu

Zaharia

et al. 2020

Sci Rep

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The long-term survival of a species requires, among other things, gene flow between populations. Approaches for the evaluation of fragmentation in the frame of freshwater habitats consider only a small amount of the information that combined demography and geography are currently able to provide. This study addresses two species of Austropotamobius crayfish in the light of population genetics, spatial ecology and protected areas of the Carpathians. Advancing the classical approaches, we defined ecological distances upon the rasterised river network as a surrogate of habitat resistance to migration, quantifying the deviations from the species´ suitability range for a set of relevant geospatial variables in each cell of the network. Molecular analyses revealed the populations of the two Austropotamobius crayfish species are clearly distinct, lacking hybridisation. Comparing pairs of populations, we found, in some cases, a strong disagreement regarding genetic and ecological distances, potentially due to human-mediated translocations or the geophysical phenomena of regressive erosion, which may have led to unexpected colonisation routes. Protected areas were found to offer appropriate local habitat conditions but failed to ensure connectivity. The methodology applied in this study allowed us to quantify the contribution of each geospatial (environmental) variable to the overall effect of fragmentation, and we found that water quality was the most important variable. A multilevel approach proved to reveal a better understanding of drivers behind the distribution patterns, which can lead to more adequate conservation measures.

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Integrating catchment land cover data to remotely assess freshwater quality: a step forward in heterogeneity analysis of river networks

Cited by 8 publications

References 59 publications

Spatiotemporal Characteristics of the Water Quality and Its Multiscale Relationship with Land Use in the Yangtze River Basin

Spatiotemporal Characteristics of the Water Quality and Its Multiscale Relationship with Land Use in the Yangtze River Basin

The effect of future land use changes on hydrologic ecosystem services: a case study from the Zala catchment, Hungary

The future of endangered crayfish in light of protected areas and habitat fragmentation

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