A review of the application of the macroinvertebrate-based multimetric indices (MMIs) for water quality monitoring in lakes

G Ndatimana, D Nantege, FO Arimoro - Environmental Science and …, 2023 - Springer
The increasing stress on lake ecosystems is affecting their functioning such as providing
goods and services to inhabiting organisms and riparian communities. Monitoring of water …

Prediction of ammonia contaminants in the aquaculture ponds using soft computing coupled with wavelet analysis

TV Nagaraju, BM Sunil, B Chaudhary, CD Prasad… - Environmental …, 2023 - Elsevier
Intensive aquaculture practices generate highly polluted organic effluents such as biological
oxygen demand (BOD), alkalinity, total ammonia, nitrates, calcium, potassium, sodium, iron …

Using the Analytic Hierarchy Process to identify parameter weights for developing a water quality index

AD Sutadian, N Muttil, AG Yilmaz, BJC Perera - Ecological indicators, 2017 - Elsevier
One of the most common approaches used to evaluate the state of water quality in a water
body is through the use of water quality indices (WQIs). This paper presents one of the most …

[HTML][HTML] A comprehensive water quality index based on analytical hierarchy process

H Rajkumar, PK Naik, MS Rishi - Ecological Indicators, 2022 - Elsevier
The popular water quality index (WQI) and the recently developed integrated water quality
index (IWQI) were used to evaluate the potability of 32 groundwater samples collected from …

Development of a water quality index for rivers in West Java Province, Indonesia

AD Sutadian, N Muttil, AG Yilmaz, BJC Perera - Ecological Indicators, 2018 - Elsevier
Abstract The West Java Water Quality Index (WJWQI) described in this paper was
specifically developed to replace the currently used indices in West Java, Indonesia. The …

An IoT based smart water quality assessment framework for aqua-ponds management using Dilated Spatial-temporal Convolution Neural Network (DSTCNN)

PG Arepalli, KJ Naik - Aquacultural Engineering, 2024 - Elsevier
Assuring the quality of water is crucial for the growth and survival of fish in aquaculture
ponds. Traditional methods of water quality monitoring can be inefficient which makes real …

A deep learning-enabled IoT framework for early hypoxia detection in aqua water using light weight spatially shared attention-LSTM network

PG Arepalli, KJ Naik - The journal of Supercomputing, 2024 - Springer
Dissolved oxygen (DO) is a critical factor in maintaining healthy aquatic ecosystems,
including aquaculture ponds. Low DO levels can lead to hypoxia conditions, which are …

An IoT framework for quality analysis of aquatic water data using time-series convolutional neural network

PG Arepalli, JN Khetavath - Environmental Science and Pollution …, 2023 - Springer
Water quality monitoring and analysis in fish farms are of paramount importance for the
aquaculture sector; however, traditional methods can pose difficulties. To address this …

[HTML][HTML] Water contamination analysis in IoT enabled aquaculture using deep learning based AODEGRU

PG Arepalli, KJ Naik - Ecological Informatics, 2024 - Elsevier
Water contamination presents a significant challenge in aquaculture, impacting the
sustainability of ecosystems and the health of aquatic organisms. Precisely assessing water …

[PDF][PDF] Financial feasibility analysis of shrimp vannamei (Litopenaeus vannamei) culture in intensive aquaculture system with low salinity

H Ariadi, M Fadjar, M Mahmudi - … and Social of Fisheries and Marine …, 2019 - academia.edu
Prevalensi penyebaran penyakit yang diakibatkan oleh sistem budidaya yang kurang tepat
menyebabkan penurunan tingkat produktifitas tambak intensif udang vannamei. Sistem …