Data driven water quality modeling for drain/canal inflows to Lake Burullus

Shaban, Mohamed; Farag, Hanan

doi:10.1016/j.asej.2018.05.002

Cited by 7 publications

(4 citation statements)

References 14 publications

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“…Moreover, the tremendous fish-pond expansion to meet the needs and food demand of the local communities and population is another explanation for the increase in the water-habitat aerial coverage since 2000. Similar to our research findings, higher water levels in Lake Burullus [72,73] and an increase in the water-body aerial coverage have been reported by many research studies [4,11,26,29,50,69]. Saltwater intrusion is another climate threat that contributes to coastal marsh loss [74,75], especially when the soil accretion rate is not coping with the continuously rising sea level [76,77].…”

Section: Rising Sea-level Is a Real Threat For Marsh Loss In Egyptsupporting

confidence: 89%

Loss of Coastal Wetlands in Lake Burullus, Egypt: A GIS and Remote-Sensing Study

et al. 2022

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Lake Burullus is the second largest lake at the northern edge of the Nile Delta, Egypt, and has been recognized as an internationally significant wetland that provides a habitat for migrating birds, fish, herpetofauna, and mammals. However, the lake is experiencing severe human impacts including drainage and conversion to agricultural lands and fish farms. The primary goal of this study was to use multispectral, moderate-spatial-resolution (30 m2) Landsat satellite imagery to assess marsh loss in Lake Burullus, Egypt, in the last 35 years (1985–2020). Iterative Self-Organizing Data Analyses (ISODATA) unsupervised techniques were applied to the Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager–Thermal Infrared Sensor (OLI–TIRS) satellite images for classification of the Lake Burullus area into four main land-use classes: water, marsh, unvegetated land surfaces (roads, paths, sand sheets and dunes), and agricultural lands and fish farms. The overall classification accuracy was estimated to be 96% and the Kappa index was 0.95. Our results indicated that there is a substantial loss (44.8% loss) in the marsh aerial coverage between 1985 and 2020. The drainage and conversion of wetlands into agricultural lands and/or fish farms is concentrated primarily in the western and southern part of the lake where the surface area of the agricultural lands and/or fish farms doubled (103.2% increase) between 2000 and 2020. We recommend that land-use-policy makers and environmental government agencies raise public awareness among the local communities of Lake Burullus of the economic and environmental consequences of the alarming loss of marshland, which will likely have adverse effects on water quality and cause a reduction in the invaluable wetland-ecosystem services.

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Section: Rising Sea-level Is a Real Threat For Marsh Loss In Egyptsupporting

confidence: 89%

Loss of Coastal Wetlands in Lake Burullus, Egypt: A GIS and Remote-Sensing Study

et al. 2022

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“…In [17], artificial neural network was applied to construct the WQI for water quality assessment. The results show that stepwise multiple linear regression analysis and artificial neural network can build an accurate WQI by using few water quality parameters [18,19]. However, these methods will assign the negative weight or the extreme weight to the water quality parameter, which will loss the physical meaning of WQImin.…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Gao

Liu

Li³

et al. 2022

Preprint

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Urban river not only has the important function in urban hydrological environment, but also is an area for entertainment. Water quality assessment is the core technique in water resource management. As the typical urban river, water samples were collected at 5 sampling points in Xi’an moat from January 2018 to December 2020, and 10 physicochemical parameters were analyzed. In this paper, a comprehensive water quality index (WQI) is designed based on the criterion of water quality classes and entropy weight method firstly. Secondly, the crucial water quality parameters is determined by using mutual information, coefficient of variation and the water quality classes. Finally, an enhanced beetle antennae search algorithm is proposed to optimize the weight values of the crucial parameters in the range 0 to 1, which represent the ratio of the crucial parameter in the minimum WQI (WQImin) model. The WQImin models with the various crucial water quality parameters are implemented for water quality assessment. The effectiveness and superiority of the proposed enhanced beetle antennae search algorithm are validated in comparison with other evolutionary algorithms. The results show that the proposed WQImin model can assess the water quality accurately.

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“…The main natural habitats that have been reported in the Burullus wetland include: salt marshes, hypersaline subkhas, sand formations, the lake proper, its islets, lake cuts, mud flats, reed beds, and swamps [28,29]. Due to its importance, it has been declared a protectorate and has been registered as a RAMSAR site (a wetland site selected to be of international importance under the RAMSAR Convention) [30]. Additionally, the lake has been recognized as an Important Bird Area by Birdlife International [31,32].…”

Section: Introductionmentioning

confidence: 99%

“…The size of the lake's aquatic surface area has reduced substantially over the years due to anthropogenic activities around the lake, such as agricultural reclamation and drying processes at the southern and eastern stretches [30,33,34]. In fact, the lake lost about 49% of its surface water area from 1801 (1092 km 2 ) to 1913 (556 km 2 ), and lost another 26% by 1997, reaching 410 km 2 .…”

Section: Introductionmentioning

confidence: 99%

Rapid Assessment Method for Evaluation of the Weighted Contribution of Anthropogenic Pollution: A Case Study of Lake Burullus, Egypt

Moussa

Mostafa

2021

Water

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This paper proposes a pragmatic approach for rapid assessment of the weighted contribution of the main waste streams contributing to pollution of surface water bodies. A case study was conducted on Lake Burullus in Egypt. The lake suffers from pollution due to many human-based activities around the lake, such as domestic, industrial, agriculture, fish farming, and solid wastes. The weighted contribution of these activities was assessed in terms of chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP). The results showed that the highest organic load is due to the domestic wastewater pollution component (63.2% of COD load), followed by fish aquaculture (35.4%). The highest TN (43.9%) and TP (58.3%) pollutant loads to Lake Burullus are due to the agricultural pollution component, followed by fish aquaculture with pollutant loads of 28.5% and 25.3%, respectively. The industrial wastewater pollution component has a very small effect on the pollution of Lake Burullus. The assessment of this study will help identify and magnify the key polluters and thus guide the decision-makers to prioritize investment planning for depollution intervention projects. For example, if the target is to reduce COD loads, investments must be directed toward the rehabilitation and expansion of wastewater treatment plants (WWTPs).

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Data driven water quality modeling for drain/canal inflows to Lake Burullus

Cited by 7 publications

References 14 publications

Loss of Coastal Wetlands in Lake Burullus, Egypt: A GIS and Remote-Sensing Study

Loss of Coastal Wetlands in Lake Burullus, Egypt: A GIS and Remote-Sensing Study

An Enhanced Beetle Antennae Search Algorithm Based Comprehensive Water Quality Index for Urban River Water Quality Assessment

Rapid Assessment Method for Evaluation of the Weighted Contribution of Anthropogenic Pollution: A Case Study of Lake Burullus, Egypt

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