Efficiency Assessment of Wastewater Treatment Plant: A Case Study of Pattoki, District Kasur, Pakistan

Amjad, Hassan; Hamid, Shanawar; Niaz, Yasir; Ashraf, Muhammad; Yasir, Umair; Chaudhary, Amna; Ali, Arsalan; Daud, Mian Waqar

doi:10.26480/esp.02.2019.01.04

Cited by 5 publications

(3 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the specified scale method, the O → C layer determination matrix of PTE contamination,

→ P judges in the study area were established [ 42 ]. There were altogether 8 judgment matrices, and the matrix model is shown in the equation [ 43 ].

…”

Section: Methodsmentioning

confidence: 99%

Research on Risk Assessment and Contamination Monitoring of Potential Toxic Elements in Mining Soils

Yang

Wang

Zuo

et al. 2023

IJERPH

View full text Add to dashboard Cite

Potentially toxic element (PTE) contamination in soils has serious impacts on ecosystems. However, there is no consensus in the field of assessment and monitoring of contaminated sites in China. In this paper, a risk assessment and pollution monitoring method for PTEs was proposed and applied to a mining site containing As, Cd, Sb, Pb, Hg, Ni, Cr, V, Zn, Tl, and Cu. The comprehensive scoring method and analytical hierarchical process were used to screen the priority PTEs for monitoring. The potential ecological risk index method was used to calculate the risk index of monitoring point. The spatial distribution characteristics were determined using semi-variance analysis. The spatial distribution of PTEs was predicted using ordinary kriging (OK) and radial basis function (RBF). The results showed that the spatial distribution of As, Pd, and Cd are mainly influenced by natural factors, while Sb and RI are influenced by both natural and human factors. OK has higher spatial prediction accuracy for Sb and Pb, and RBF has higher prediction accuracy for As, Cd, and RI. The areas with high ecological risk and above are mainly distributed on both sides of the creek and road. The optimized long-term monitoring sites can achieve the monitoring of multiple PTEs.

show abstract

“…According to the specified scale method, the O → C layer determination matrix of PTE contamination,

→ P judges in the study area were established [ 42 ]. There were altogether 8 judgment matrices, and the matrix model is shown in the equation [ 43 ].

…”

Section: Methodsmentioning

confidence: 99%

Research on Risk Assessment and Contamination Monitoring of Potential Toxic Elements in Mining Soils

Yang

Wang

Zuo

et al. 2023

IJERPH

View full text Add to dashboard Cite

show abstract

“…The Government of Pakistan, in partnership with international organizations, have been working to improve sewage treatment capacity in the country (Amjad et al, 2019). This includes building new treatment plants and upgrading existing ones, as well as promoting the use of alternative technologies such as decentralized systems, and the reuse of treated water.…”

Section: Theme 3-limited Sewage Treatment Capacitymentioning

confidence: 99%

Impact of Urbanization on Sanitation Management in Pakistan: The Case of Islamabad Capital Territory

Habib

2022

AHSS

View full text Add to dashboard Cite

The study aims to examine the impact of urbanization on sanitation management in Pakistan, with a specific focus on the case of Islamabad Capital Territory (ICT).The research employs a mixed-methods approach, including a review of relevant literature, field observations, and interviews with key stakeholders. The data collected was analyzed using thematic analysis to identify patterns and themes in the stakeholders' experiences and perceptions. The findings indicate that urbanization in ICT has led to a significant increase in population density and a corresponding strain on sanitation infrastructure and services. This has resulted in inadequate waste management, lack of access to safe and clean water, and increased incidents of waterborne and vector-borne diseases. The study also highlights the need for a more integrated and holistic approach to sanitation management in ICT, which would involve increased investment in infrastructure and services, as well as community engagement and education. Furthermore, the study suggests that there is a need for a more sustainable approach towards sanitation management which will focus on the community involvement and empowerment. The findings of this research has contributed to the importance of addressing the challenges of urbanization and sanitation management in Pakistan, particularly in the context of ICT, in order to improve public health and living standards for residents.

show abstract

“…The first layer of the hierarchical analysis structure for the detection of heavy metal pollution in mining area soil is the target layer, that is, to detect the heavy metal pollution in a mining area soil, which is defined as layer A; The second layer is the standard layer, that is, to select two standards of the limit values of heavy metals such as Pb, Cd, Cu and Zn in the soil of the mining area (0.2, 0.2, 10 and 50 1 mg kg −  , respectively) and the toxicity response coefficient of heavy metals (5, 30, 5 respectively) 1), to be defined as layer B, two of which are defined as 1 B and 2 B respectively; the third layer is a specific detection factor, namely four heavy metal elements of lead, cadmium, copper and zinc, defined as layer C; The analytic hierarchy is a three-layer structure (Ramdani et al 2018), (Amjad et al, 2019).…”

Section: Detectionof Multifactor Pollution Indexmentioning

confidence: 99%

Real-Time Detection Method for Heavy Metal Pollution in Soil of Mining Area

2020

Global NEST: The International Journal

View full text Add to dashboard Cite

<p>Solid wastes and acid wastewater lead to the enrichment of heavy metals in the soil of mining area. Heavy metal pollution causes the decline of soil quality, ecosystem degradation, crop yield reduction, and even threatens human health. For this reason, the real-time detection method for heavy metal pollution in mining area is studied. Taking a mining area as an example, the data of heavy metal content in mining area soil are collected by PLSR model. Based on the collected data, the real-time detection model of heavy metal pollution in mining area soil based on improved analytic hierarchy process and weighted average method is adopted to real-time detect the heavy metal pollution index in the soil of mining area. The results show that the pollution index of Cu, Zn and Pb in the soil of this mining area belongs to heavy pollution, and the pollution of Cd is relatively small. Among them, the pollution index of Pb is the largest among the four heavy metals, and the pollution is quite serious. The pollution sources of Pb, Zn and Cu in this mining area are the same, and the pollution sources of Cd are different from those of other three heavy metals.</p>

show abstract

Efficiency Assessment of Wastewater Treatment Plant: A Case Study of Pattoki, District Kasur, Pakistan

Cited by 5 publications

References 1 publication

Research on Risk Assessment and Contamination Monitoring of Potential Toxic Elements in Mining Soils

Research on Risk Assessment and Contamination Monitoring of Potential Toxic Elements in Mining Soils

Impact of Urbanization on Sanitation Management in Pakistan: The Case of Islamabad Capital Territory

Real-Time Detection Method for Heavy Metal Pollution in Soil of Mining Area

Contact Info

Product

Resources

About