Spatial coverage of water hyacinth (Eichhornia crassipes (Mart.) Solms) on Lake Tana and associated water loss

Damtie, Yilebes A.; Mengistu, Daniel; Meshesha, Derege Tsegaye

doi:10.1016/j.heliyon.2021.e08196

Cited by 12 publications

(8 citation statements)

References 21 publications

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“…Nevertheless, the results are in line with those of other published studies. Damtie et al [19] obtained an OA ranging from 95.1% to 99.7% with K from 0.93 to 0.97 using maximum likelihood classification on Sentinel-2 MSI data. Using Landsat 8 imagery, Mukarugwiro et al [20] obtained an OA of 85% with k = 0.81 using a RF classifier, better than SVM (OA of 65%; k = 0.57), and Dube et al [21] achieved an OA of 92% using two ML classification ensembles, discriminant analysis (DA), and partial least squares discriminant analysis (PLS-DA).…”

Section: Discussionmentioning

confidence: 99%

“…Most of the recently published studies rely on supervised pixel-based multispectral image classification involving machine learning (ML) techniques using random forests (RFs), support vector machines (SVMs), artificial neural networks (ANNs), and others [14,16,17]. Damtie et al [19] assessed the effect of this invasive plant on water loss by evapotranspiration in Lake Tana (Ethiopia) using Sentinel-2 imagery. Mukarugwiro et al [20] mapped the extent of water hyacinth invasion in aquatic ecosystems in Rwanda with Landsat 8 imagery.…”

Section: Introductionmentioning

confidence: 99%

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Water Hyacinth (Eichhornia crassipes) Detection Using Coarse and High Resolution Multispectral Data

Pádua

Antão-Geraldes

Sousa

et al. 2022

Drones

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Efficient detection and monitoring procedures of invasive plant species are required. It is of crucial importance to deal with such plants in aquatic ecosystems, since they can affect biodiversity and, ultimately, ecosystem function and services. In this study, it is intended to detect water hyacinth (Eichhornia crassipes) using multispectral data with different spatial resolutions. For this purpose, high-resolution data (<0.1 m) acquired from an unmanned aerial vehicle (UAV) and coarse-resolution data (10 m) from Sentinel-2 MSI were used. Three areas with a high incidence of water hyacinth located in the Lower Mondego region (Portugal) were surveyed. Different classifiers were used to perform a pixel-based detection of this invasive species in both datasets. From the different classifiers used, the results were achieved by the random forest classifiers stand-out (overall accuracy (OA): 0.94). On the other hand, support vector machine performed worst (OA: 0.87), followed by Gaussian naive Bayes (OA: 0.88), k-nearest neighbours (OA: 0.90), and artificial neural networks (OA: 0.91). The higher spatial resolution from UAV-based data enabled us to detect small amounts of water hyacinth, which could not be detected in Sentinel-2 data. However, and despite the coarser resolution, satellite data analysis enabled us to identify water hyacinth coverage, compared well with a UAV-based survey. Combining both datasets and even considering the different resolutions, it was possible to observe the temporal and spatial evolution of water hyacinth. This approach proved to be an effective way to assess the effects of the mitigation/control measures taken in the study areas. Thus, this approach can be applied to detect invasive species in aquatic environments and to monitor their changes over time.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Water Hyacinth (Eichhornia crassipes) Detection Using Coarse and High Resolution Multispectral Data

Pádua

Antão-Geraldes

Sousa

et al. 2022

Drones

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“…Te area invaded by the weed varies season to season, and a higher area (30, 728.4 ha) was recorded in the rainy season of August [12]. In contrast, mainly from October to December, the infestation level was found to increase [16]. Concurrently, autumn (the post-wet season) has the maximum area coverage of water hyacinth, whereas summer (the primary rainy season) has the lowest invasion [19].…”

Section: Occurrence and Distribution Of Water Hyacinthmentioning

confidence: 95%

“…Water hyacinth frst appeared and was ofcially reported in Lake Tana in 2011 at the northern tip of the lake called Megech after a higher accumulation of nitrogen in the lake (Figure 1) [15][16][17]. It is projected that the greatest efective surface area of Lake Tana that was predicted to be impacted by the invasive weed is around 248 km 2 (24,800 ha), or approximately 8% of the total lake area [12].…”

Section: Occurrence and Distribution Of Water Hyacinthmentioning

confidence: 99%

Problem of Water Hyacinth (Eichhornia crassipes (Mart.)) in Lake Tana (Ethiopia): Ecological, Economic, and Social Implications and Management Options

Getahun,

Kefale

2023

International Journal of Ecology

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Lake Tana is Ethiopia’s largest body of fresh water, covering approximately 3,200 km2. Despite its multidisciplinary applications in Ethiopia and neighboring countries, water hyacinth (Eichhornia crassipes (Mart.) Solms) is a significant problem in this large lake. This invasive weed first appeared in Lake Tana in 2011 and quickly spread to the water’s surface over the next two to three years. In this background, this article aims at reviewing the existing knowledge on the occurrence, impact, and management options for water hyacinths in Lake Tana. Water hyacinth is one of the most dangerous water weeds, causing a wide range of problems in bodies of water and water resources, including ecological, environmental, economic, and social consequences. Due to the weed species’ rapid spread via sexual and asexual reproduction, it covers a wide range of water bodies, and appropriate management options must be implemented before seriously affecting the water body and spreading to the Nile Basin.

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“…This approach is going to be even more promising and rewarding if one uses other environmental pollutants and wastes as an adsorbent material. In this regard, water hyacinth (WH) which is one of the worst invasive weeds causing serious problems in irrigation, navigation and power generation in many tropical and subtropical countries [12,13]. Water hyacinth leaf protein concentrate is a potential adsorbent of interest used for the removal of toxic metal such as chromium.…”

Section: Introductionmentioning

confidence: 99%

Polypyrrole–polyaniline-water hyacinth leaf protein concentrate composite for the removal of Cr(VI) from aqueous solution: kinetics, isotherm and thermodynamic studies

Yifru¹,

Mekonnen²,

Mehretie³

et al. 2022

Bull. Chem. Soc. Eth.

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ABSTRACT. This work focused on the extraction of “water hyacinth leaf protein concentrate” (WHLPC) and preparation of polypyrrole (PPy), polyaniline (PANI) and polypyrrole-polyaniline copolymer (PPy/PANI) coated WHLPC by in situ polymerization and investigate their application for the removal of Cr(VI) from aqueous solution. After optimizing the experimental conditions like pH, adsorbent dosage, contact time and initial concentration it was found that the kinetics and isotherm data were well fitted to the pseudo-second-order and Langmuir models, respectively. PPy/PANI/WHLPC was found to be an efficient material compared to the other polymer-coated adsorbents with maximum adsorption capacity of 230 mg/g. The presence of counter ions ((NO3-, Cl-, HPO42-, SO42+ and HCO3- ions) slightly decreases the Cr(VI) removal efficiency PPy/PANI/WHLPC. The thermodynamic study reveals that the adsorption of Cr(VI) onto PPY/PANI/WHLPC is endothermic, thermodynamically feasible, and spontaneous. In addition, reusability of the material indicated high removal efficiency for two adsorption cycles. KEY WORDS: Polypyrrole, Polyaniline, Protein concentrate, Water hyacinth, Chromium Bull. Chem. Soc. Ethiop. 2022, 36(3), 571-584. DOI: https://dx.doi.org/10.4314/bcse.v36i3.7

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Spatial coverage of water hyacinth (Eichhornia crassipes (Mart.) Solms) on Lake Tana and associated water loss

Cited by 12 publications

References 21 publications

Water Hyacinth (Eichhornia crassipes) Detection Using Coarse and High Resolution Multispectral Data

Water Hyacinth (Eichhornia crassipes) Detection Using Coarse and High Resolution Multispectral Data

Problem of Water Hyacinth (Eichhornia crassipes (Mart.)) in Lake Tana (Ethiopia): Ecological, Economic, and Social Implications and Management Options

Polypyrrole–polyaniline-water hyacinth leaf protein concentrate composite for the removal of Cr(VI) from aqueous solution: kinetics, isotherm and thermodynamic studies

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