A soft hydrological monitoring approach for comparing runoff on a network of small poorly gauged catchments

Crabit, Armand; Colin, François; Moussa, Roger

doi:10.1002/hyp.8041

Cited by 6 publications

(3 citation statements)

References 74 publications

(89 reference statements)

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“…The estimated values of the hydraulic capacity (Qmax) can be associated with the high uncertainties that stem from both the estimation of vegetation cover (Levavasseur et al, 2014) and the derivation of the Strickler coefficients from the vegetation cover data (Bailly et al, 2015b). However, it must be underlined that the Strickler coefficients over the range of vegetation densities were similar to those measured by Crabit et al (2011) in similarly vegetated ditches or presented in the Chow tables for small channels (Arcement and Schneider, 1989;Lagacherie et al, 2006). This estimation yields the confidences in the hydraulic capacity trends obtained with this semi-quantitative approach.…”

Section: Representativeness and Accuracy Of The Empirical And Indicatsupporting

confidence: 68%

Impact of maintenance operations on the seasonal evolution of ditch properties and functions

Dollinger

Vinatier

Voltz

et al. 2017

Agricultural Water Management

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International audienceDitch networks were traditionally designed to protect fields from soil erosion or control waterlogging. They are still frequently managed by either mowing, chemical weeding, dredging or burning to ensure their optimal hydraulic capacity. Ditches were recently reported also to improve water quality and sustain biodiversity. These ditch functions are related to specific ditch properties. By contrastingly modifying ditch properties, maintenance operations were supposed to regulate these functions. There is, therefore, a need to re-examine the design and maintenance strategies of ditches to optimize the whole range of ecosystem services that they provide. In this study, we address the innovator question of how maintenance operations affect the yearly evolution of ditch properties, and in turn, the panel of functions that ditches support. During one year, we monitored the vegetation, litter, soil properties, and ash cover of five ditches that were being unmanaged, dredged, mowed, burned, and chemically weeded, respectively, with timing and frequency as generally operated by farmers in the study area. We then used indicators to evaluate the effect that the evolution of these properties has on the ditch water conveyance, herbicide retention and biodiversity conservation functions. We found that the evolution of these properties significantly contrasted among the 5 maintenance strategies. All the maintenance operations cleared the vegetation, which improves the hydraulic capacity by up to 3 times. The optimal hydraulic capacity is maintained longer after chemical weeding and dredging, but these operations have negative impacts on the herbicide retention and biodiversity conservation functions. The litter and ash layers generated by mowing and burning, respectively, improve the herbicide retention by up to 45%. Our results confirm that maintenance can be an efficient tool for optimizing ditch functions. The choice of maintenance operation and timing are key to successfully optimizing most of the functions that ditches can support

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Section: Representativeness and Accuracy Of The Empirical And Indicatsupporting

confidence: 68%

Impact of maintenance operations on the seasonal evolution of ditch properties and functions

Dollinger

Vinatier

Voltz

et al. 2017

Agricultural Water Management

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“…The second limitation concerning the parameterization of the ditches involved their cross‐sectional size and roughness which were considered invariant in our study. These parameters greatly affect surface runoff (Nédélec et al , ) and are known to be highly spatially variable, both in natural streams (O'Hare et al , ) and in small agricultural ditches (Bouldin et al , ; Crabit et al , ). These limitations should therefore be addressed in future works, with the use of spatial models of these ditch parameters, as it exists for ditch cross‐sectional sizes (Bailly et al , ).…”

Section: Discussionmentioning

confidence: 99%

Simulating the effects of spatial configurations of agricultural ditch drainage networks on surface runoff from agricultural catchments

Levavasseur

Bailly

Lagacherie

et al. 2012

Hydrological Processes

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The study of runoff is a crucial issue because it is closely related to flooding, water quality and erosion. In cultivated catchments, agricultural ditch drainage networks are known to influence runoff. As anthropogenic elements, agricultural ditch drainage networks can therefore be altered to better manage surface runoff in cultivated catchments. However, the relationship between the spatial configuration, i.e., the density and the topology, of agricultural ditch drainage networks and surface runoff in cultivated catchments is not understood. We studied this relationship by using a random network simulator that was coupled to a distributed hydrological model. The simulations explored a large variety of spatial configurations corresponding to a thousand stochastic agricultural ditch drainage networks on a 6.4 km2 Mediterranean cultivated catchment. Next, several distributed hydrological functions were used to compute water flow-paths and runoff for each simulation. The results showed that (i) denser networks increased the drained volume and the peak discharge and decreased hillslopes runoff, (ii) greater network density did not affect the surface runoff any further above a given network density, (iii) the correlation between network density and runoff was weaker for small subcatchments (< 2 km2) where the variability in the drained area that resulted from changes in agricultural ditch drainage networks increased the variability of runoff and (iv) the actual agricultural ditch drainage network appeared to be well optimized for managing runoff as compared with the simulated networks. Finally, our results highlighted the role of agricultural ditch drainage networks in intercepting and decreasing overland flow on hillslopes and increasing runoff in drainage networks

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“…These advance-ments are also due to the improved performance and efficiency of communication technologies. In fact, the possibility of transmitting data over long distances with little energy expenditure, or the use of optical fibers as distributed sensors, have allowed hydrologists to collect data from remote areas, e.g., to accurately determine the soil water content [48]- [54], the streamflow [55]- [60], or the precipitation [61]. Some such devices make it possible to overcome the limits of point measurement devices, such as the classical rain gauges, and collect information on wider areas around the actual location of the devices.…”

Section: A Sensing Technologies Measurement and Monitoringmentioning

confidence: 99%

Sensor Networks, Data Processing, and Inference: The Hydrology Challenge

Zanella,

Zubelzu,

Bennis

2023

IEEE Access

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In the last years, many European countries have experienced the effects of climate change, in the form of a scarcity of drinking water resources, prolonged periods of drought, and extremely heavy rainfall, with unprecedented dramatic environmental, economic, and social costs. Therefore, understanding, modeling, and predicting the movement and distribution of water on Earth, and effectively managing water resources are problems of paramount importance. In this article, we discuss the fundamental role that sensing technologies, data processing algorithms, and inference based on machine learning techniques can have in modern hydrology and the many challenges that still need to be addressed to improve the accuracy and reduce the complexity of current hydrology models. More specifically, we overview the main solutions proposed in the literature to monitor, analyze and predict hydrological processes, and present a selection of results obtained from empirical data sets to ground the main concepts and substantiate the dissertation. Finally, we conclude our article by discussing open problems and possible avenues for future research.

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A soft hydrological monitoring approach for comparing runoff on a network of small poorly gauged catchments

Cited by 6 publications

References 74 publications

Impact of maintenance operations on the seasonal evolution of ditch properties and functions

Impact of maintenance operations on the seasonal evolution of ditch properties and functions

Simulating the effects of spatial configurations of agricultural ditch drainage networks on surface runoff from agricultural catchments

Sensor Networks, Data Processing, and Inference: The Hydrology Challenge

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