Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment

Camara, Moriken; Jamil, Nor Rohaizah; Abdullah, Ahmad Fikri; Hashim, Rohasliney; Aliyu, Adamu Gaddafi

doi:10.1016/j.scitotenv.2020.139800

Cited by 21 publications

(12 citation statements)

References 29 publications

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“…More research must be done in ARB in the scope of land use vs water quality. Since the present results are shown as a generic relation for the entire river basin, it is necessary to which areas have more effect in terms of LSC on water quality, which can be detected by applying multicriteria analysis for prioritisation purposes (Camara et al, 2020), or even the application of more complex methodologies such as self-organising map (Gu et al, 2019). Catchment prioritisation is a strategy to support decision-makers to identify the most critical regions that demand intervention.…”

Section: Interventionmentioning

confidence: 99%

The consequences for stream water quality of long-term changes in landscape patterns: Implications for land use management and policies

et al. 2021

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Section: Interventionmentioning

confidence: 99%

The consequences for stream water quality of long-term changes in landscape patterns: Implications for land use management and policies

et al. 2021

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“…2) The ANP super cluster-weighted matrix and limit matrix (Camara et al, 2020). Combining the ranking vectors of the degree of mutual influence of the elements of the network layer, the supermatrix under the control element is obtained:…”

Section: Figurementioning

confidence: 99%

Overburden and surface subsidence with slicing paste filling mining in thick coal seams

Zheng

Wang²,

Pang³

2023

Front. Earth Sci.

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To overcome the difficulties of overburden failure and surface subsidence induced by the slicing mining of extra-thick coal seams, slicing filler paste is typically utilized. In this paper, a continuous curved beam mechanical model of paste filling mining was established by theoretical analysis against the background of the 3305 working face of Yangcheng Coal Mine, the main controlling factors of surface subsidence were analyzed using an orthogonal experiment method (OEM) and an analytic network process (ANP) coupled comprehensive assignment, and the vertical displacement distribution of the overlying rock under different filling intensity was simulated using numerical simulation software. The following main findings were obtained. First, the elastic modulus of the backfill is the primary regulating factor, as demonstrated by the results. Second, the greater the filling body’s elastic modulus, the more efficiently it carries the overburden load and minimizes the maximum surface subsidence. Third, the distance from the open-cut mine likewise reflects the degree of surface subsidence, with the amount of subsidence increasing as the distance from the mine increases.

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“…However, the operational and economic aspects of any monitoring system should be optimized so as to keep the costs at a minimum while meeting the monitoring requirements (Dixon and Chiswell, 1996;Camara et al, 2020). Therefore, optimal or minimum sampling frequencies have been suggested for different water quality variables depending on the presence of outflows and their corresponding contribution to the river, the degree of acceptable uncertainty in the model, the monitoring goals, and the variability of the target variable itself (Chappell et al, 2017;Vilmin et al, 2018).…”

Section: How Important Are High-frequency Data In Water Quality Model...mentioning

confidence: 99%

How much do bacterial growth properties and biodegradable dissolved organic matter control water quality at low flow?

Hasanyar

Romary

Wang

et al. 2022

Preprint

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Abstract. Development of accurate water quality modeling tools is necessary for integrated water quality management of river systems. The existing water quality models can simulate dissolved oxygen (DO) concentration quite well during high flow and phytoplankton blooms in rivers; however, there are discrepancies during the summer low-flow season that are assumed to be due to the uncertainties related to the organic matter contribution of the model boundary conditions. Therefore, we used the C-RIVE biogeochemical model to evaluate the influence of controlling parameters on DO simulations at low flow. Three Sobol sensitivity analyses (SA) were carried out based on a coarse model pre-analysis whose target was to develop SA scenarios providing a reduction in the number of model parameters and computation cost as well as hiding inter-parameter interactions. The parameters studied are related to bacterial (e.g., bacterial growth rate), organic matter (OM; repartition and degradation of OM into constituent fractions), and physical factors (e.g., reoxygenation of the river due to navigation and wind), whose variation ranges are selected based on a detailed literature review. Bacterial growth and mortality rates are found to be by far the two most influential parameters, followed by bacterial growth yield. More refined SA results indicate that the biodegradable fraction of dissolved organic matter (BDOM) and the bacterial growth yield are the most influential parameters under conditions of a high net bacterial growth rate (= growth rate – mortality rate), while bacterial growth yield is independently dominant in low net growth situations. Based on the results of this study, proposals are made for in situ measurement of BDOM under a dense and well-equipped urban area water quality monitoring network that could provide high-frequency data. The results also indicate the need for bacterial community monitoring in order to detect potential bacterial community shifts after transient events such as combined sewer overflows and post-infrastructure improvement in treatment plants. Furthermore, we discuss the integration of BDOM in data assimilation software for better estimation of BDOM contribution from boundary conditions, which would result in improved water quality modeling.

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Economic and efficiency based optimisation of water quality monitoring network for land use impact assessment

Cited by 21 publications

References 29 publications

The consequences for stream water quality of long-term changes in landscape patterns: Implications for land use management and policies

The consequences for stream water quality of long-term changes in landscape patterns: Implications for land use management and policies

Overburden and surface subsidence with slicing paste filling mining in thick coal seams

How much do bacterial growth properties and biodegradable dissolved organic matter control water quality at low flow?

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