Estimations of nitrate nitrogen, total phosphorus flux and suspended sediment concentration (SSC) as indicators of surface-erosion processes using an ANN (Artificial Neural Network) based on geomorphological parameters in mountainous catchments

Halecki, Wiktor; Kruk, Edyta; Ryczek, Marek

doi:10.1016/j.ecolind.2018.03.072

Cited by 28 publications

(17 citation statements)

References 55 publications

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“…Research [33] shows that CD caused the reduction of subsurface drainage and indicates that these practices may increase surface runoff. Consequently, CD may cause soil erosion and water pollution with phosphorus [58,59].…”

Section: Range Meanmentioning

confidence: 99%

Sustainable Water Management in Agriculture—The Impact of Drainage Water Management on Groundwater Table Dynamics and Subsurface Outflow

et al. 2019

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The paper presents the results of the effects of control drainage (CD) on the groundwater table and subsurface outflow in Central Poland. The hydrologic model DRAINMOD was used to simulate soil water balance with drain spacing of 7 and 14 m, different initial groundwater Table 40, 60 and 80 cm b.s.l., and dates at the beginning of control drainage of 1 March, 15 March, 1 April, and 15 April. The CD restricts flow at the drain outlet to maintain a water table during the growing season. Simulations were made for the periods from March to September for the years 2014, 2017, and 2018, which were average, wet, and dry, respectively. The simulations showed a significant influence of the initial groundwater tables and date blocking the outflow from the drainage network on the obtained results. In the conditions of central Poland, the use of CD is rational only when it is started between 1 and 15 March. In this case, the groundwater table can be increased from 10 to 33 cm (7 m spacing) and from 10 to 41 cm (14 m spacing) in relation to the conventional system (free drainage-FD). In the case of blocking the outflow on 1 March, the reduction is about 80% on average in the period from March to September. With a delay in blocking the outflow, the impact of CDs decreases and ranges from 8% to 50%. Studies have shown that the proper use of the drainage network infrastructure complies with the idea of sustainable development, as it allows efficient water management, by reduction of the outflow and, thus, nitrates from agricultural areas. Furthermore, CD solutions can contribute to mitigating the effects of climate change on agriculture by reducing drought and flood risk.Sustainability 2019, 11, 4201 2 of 18 water users to be affected by the consequences of climate change in different way [5]. Consequently, this will lead to exacerbated competition among water users and sectors [6].One of the main challenges for sustainable development is the adaptation of national economies to climate change. Most often, climate change adaptation projects in Poland are carried out in cities and areas subject to urban sprawl [7][8][9]. Agriculture is a key sector for food supply, and its functioning depends largely on access to water. It is, therefore, necessary to take various actions to protect this sector of national economies against climate change. The most frequently asked question is whether and to what extent it is possible to take action in the adaptation of agriculture to climate change while maintaining high environmental standards and accounting for the acceptance of society and economic balance.The greatest scope for the mitigation of the effects of climate change is in improving adaptive capacity and responding to changes in water demands [10]. Agricultural subsurface drainage, popularly known as tile drainage, is an essential water management practice in agricultural regions with seasonal high groundwater tables [11]. Around 193.9 × 10 6 ha of arable land, and permanent crops have been drained around the world. In 30 countries, th...

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Section: Range Meanmentioning

confidence: 99%

Sustainable Water Management in Agriculture—The Impact of Drainage Water Management on Groundwater Table Dynamics and Subsurface Outflow

et al. 2019

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“…The dependence of the concentration of the selected indices of water quality in small water reservoirs may be confirmed by the use of the catchment. In catchments with a predominance in the structure of forest and grassland use, and catchments with a predominance of forest and agricultural land, a similar distribution of nutrient concentrations is the result of similar morphometric and physiographic parameters and catchment use [29].…”

Section: Land Use Prognostic-regressive Method and Systematic Studimentioning

confidence: 99%

“…In rural areas, the quality of surface water running off from areas of agricultural, or agricultural and settlement use is the result of many factors. Their influence on the formation of the physicochemical composition and utility values of these waters is different and varies in time [29,30]. In small catchments, the anthropogenic effect on surface water quality is almost always intertwined with the effect of natural factors, that is, the dissolution of rocks, erosion, and leaching of uncultivated soils; inflow of humus substances; decomposition of organic matter; and, to some extent, precipitation [31].…”

Section: Anthropogenic Threats To Water Qualitymentioning

confidence: 99%

“…The outflow of suspended sediment solids from settlement and agricultural areas is connected with the physiographic parameters of the catchment, and increased concentrations of nitrate nitrogen and total phosphorus in surface waters [29]. The reason for this is the unregulated water and wastewater management in the catchment area.…”

Section: Protection Of Soils and Water In Upland And Mountain Catchmementioning

confidence: 99%

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Multiannual Assessment of the Risk of Surface Water Erosion and Metal Accumulation Indices in the Flysch Stream Using the MARS Model in the Polish Outer Western Carpathians

2019

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The anthropogenic problems in richly sculpted areas (mountain and submontane) are mainly related to agricultural activity, which shapes the quality of surface waters. This paper presents an analysis of the results of the hydrochemical tests carried out in the years 2007–2018 at check-control spots. The heavy metal pollution index (HPI < 100) indicated a low risk for aquatic organisms. The statistical calculations obtained by means of multivariate adaptive regression splines (MARS) designated that the hazard quotient (HQ) index can be combined with the electrical conductivity (EC) and total dissolved substances (TDS) parameters used in the assessment of water erosion. The HQ index showed that the concentration of individual heavy metals is lower than their value in the 0.5 percentile of the value. In subsequent studies, it should be assessed whether the size of arable land has an impact on the increased concentration of heavy metals in the surface water. We recommend small retention reservoirs as a potential management measure to improve the quality of the surface water at a regional scale. This study has great potential to mitigate the degradation processes related to the insufficient storage capacity, and to promote natural water retention.

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“…The quantitative geomorphology introduced by Horton [7], Strahler [8][9][10], Schumm [11], and others has allowed for parameterizing the dimensional, morphological, and topological characteristics of river networks and catchments, providing a quantitative description of the physiography of drainage basins. These parameters can theoretically represent meaningful predictors in river dynamics modeling, as largely proven in the worldwide literature since the end of the 1950s [12][13][14][15][16][17][18][19][20][21][22][23][24]. Therefore, an alternative parametric-geomorphologic approach has been introduced in the sediment yield prediction issue, via the application of statistical correlation analysis and the development of simple or multiple linear regression models.…”

Section: Introductionmentioning

confidence: 99%

Investigating the Sediment Yield Predictability in Some Italian Rivers by Means of Hydro-Geomorphometric Variables

et al. 2018

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In the present work, preliminary results are reported from an ongoing research study aimed at developing an improved prediction model to estimate the sediment yield in Italian ungauged river basins. The statistical correlations between a set of hydro-geomorphometric parameters and suspended sediment yield (SSY) data from 30 Italian rivers were investigated. The main question is whether such variables are helpful to explain the behavior of fluvial systems in the sediment delivery process. To this aim, a broad set of variables, simply derived from digital cartographic sources and available data records, was utilized in order to take into account all the possible features and processes having some influence on sediment production and conveyance. A stepwise regression analysis pointed out that, among all possibilities, the catchment elevation range (H r ), the density of stream hierarchical anomaly (D a ), and the stream channel slope ratio (∆S s ) are significantly linked to the SSY. The derived linear regression model equation was proven to be satisfactory (r 2 -adjusted = 0.72; F-significance = 5.7 × 10 −8 ; ME = 0.61), however, the percentage standard error (40%) implies that the model is still affected by some uncertainties. These can be justified, on one hand, by the wide variance and, on the other hand, by the quality of the observed SSY data. Reducing these uncertainties will be the effort in the follow-up of the research.

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Estimations of nitrate nitrogen, total phosphorus flux and suspended sediment concentration (SSC) as indicators of surface-erosion processes using an ANN (Artificial Neural Network) based on geomorphological parameters in mountainous catchments

Cited by 28 publications

References 55 publications

Sustainable Water Management in Agriculture—The Impact of Drainage Water Management on Groundwater Table Dynamics and Subsurface Outflow

Sustainable Water Management in Agriculture—The Impact of Drainage Water Management on Groundwater Table Dynamics and Subsurface Outflow

Multiannual Assessment of the Risk of Surface Water Erosion and Metal Accumulation Indices in the Flysch Stream Using the MARS Model in the Polish Outer Western Carpathians

Investigating the Sediment Yield Predictability in Some Italian Rivers by Means of Hydro-Geomorphometric Variables

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