Impact of Climatic Factors on Water Quality Parameters in Tilapia Broodfish Ponds and Predictive Modeling of Pond Water Temperature with ARIMAX DOI Creative Commons
Mohammad Abu Baker Siddique,

Balaram Mahalder,

Mohammad Mahfujul Haque

и другие.

Heliyon, Год журнала: 2024, Номер 10(18), С. e37717 - e37717

Опубликована: Сен. 1, 2024

Climate change represents a considerable threat to aquatic ecosystems, potentially affecting various water quality parameters.The study aims assess the impacts climatic factors on parameters in tilapia broodfish pond and forecasting of temperature using ARIMAX model. Daily longitudinal time series data were collected from pond, while monthly obtained Bangladesh Meteorological Department. Water exhibited seasonal variation, peaking at 31.23 °C October dropping 20.8 December. pH levels ranged 7.36 10.32, with lowest recorded December highest August. Dissolved oxygen varied 7.09 mg/L 10.65 mg/L, September January. Ammonia February 0.33 mg/L. transparency 15.37 28 inches, January June. Climatic significantly influenced these variations, as specified by Canonical correlation analysis (CCA). The best-fitting model, (1, 0, 1), indicated fluctuating trend important exogenous like air solar intensity. By end 2025, is expected rise 27.93 °C. This noticeable increase started November These higher temperatures may improve growth development earlier. But are predicted drop March, which could negatively affect development. A clear pattern future. findings provide insights for researchers, policymakers, academics, those involved farming. considering intensity planning, stakeholders can better anticipate future conditions. Developing adaptive management strategies reduce negative make most favorable conditions will be essential sustainable production context climate change.

Язык: Английский

Forecasting air temperature and rainfall in Mymensingh, Bangladesh with ARIMA: Implications for aquaculture management DOI Creative Commons
Mohammad Abu Baker Siddique,

Balaram Mahalder,

Mohammad Mahfujul Haque

и другие.

The Egyptian Journal of Aquatic Research, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0

Fish Assemblage Diversity of Dharla River, Bangladesh, With Relation to Environmental Variables: A Multivariate Analysis DOI Open Access
Yeasmin Ara, Mohammad Ashraful Alam, Imran Parvez

и другие.

River Research and Applications, Год журнала: 2025, Номер unknown

Опубликована: Март 24, 2025

ABSTRACT The Dharla River is a significant freshwater system that runs through Bangladesh, India, and Bhutan, eventually meeting the Brahmaputra harboring numerous fish species. study aimed to investigate assemblage structures of in relation seasons environmental variables. Monthly data on assemblages variables were collected from five sites along between July 2022 June 2023. One‐way ANOVA was conducted at 5% significance level assess seasonal fluctuations variables, abundance, diversity indices. Various multivariate analyses, including canonical correspondence analysis (CCA), principal component (PCA), NMDS plot, used examine relationships species abundances, their variations. Furthermore, similarity (ANOSIM) percentage (SIMPER) applied evaluate communities throughout identify key cause diversity. parameters showed distinct differences during monsoon (July–October) compared pre‐monsoon (March–June) post‐monsoon (November–February). Seventy‐nine reported selected over 12 months, representing eight orders, 25 families, 57 genera. Fish abundance peaked season, while lowest number observed pre‐monsoon. ANOSIM revealed statistically variation ( p < 0.05) across seasons. Additionally, SIMPER indicated an average dissimilarity 43.35% among three seasons, with two Esomus danricus Cirrhinus reba ) contributing most this dissimilarity. Based samples all found be divided into groups. indices, Shannon‐Weaver H ), Pielou's evenness e Margalef richness D exhibited variations ranging 3.53 4.05, 0.60 0.82, 9.31 10.66, respectively. identified temperature, pH, nitrite, dissolved oxygen positively correlated structure River. This provides baseline information relationship which crucial for sustainable management conservation important trans‐boundary Rivers like other open‐water fishery resources Bangladesh.

Язык: Английский

Процитировано

0

Impact of Climatic Factors on Water Quality Parameters in Tilapia Broodfish Ponds and Predictive Modeling of Pond Water Temperature with ARIMAX DOI Creative Commons
Mohammad Abu Baker Siddique,

Balaram Mahalder,

Mohammad Mahfujul Haque

и другие.

Heliyon, Год журнала: 2024, Номер 10(18), С. e37717 - e37717

Опубликована: Сен. 1, 2024

Climate change represents a considerable threat to aquatic ecosystems, potentially affecting various water quality parameters.The study aims assess the impacts climatic factors on parameters in tilapia broodfish pond and forecasting of temperature using ARIMAX model. Daily longitudinal time series data were collected from pond, while monthly obtained Bangladesh Meteorological Department. Water exhibited seasonal variation, peaking at 31.23 °C October dropping 20.8 December. pH levels ranged 7.36 10.32, with lowest recorded December highest August. Dissolved oxygen varied 7.09 mg/L 10.65 mg/L, September January. Ammonia February 0.33 mg/L. transparency 15.37 28 inches, January June. Climatic significantly influenced these variations, as specified by Canonical correlation analysis (CCA). The best-fitting model, (1, 0, 1), indicated fluctuating trend important exogenous like air solar intensity. By end 2025, is expected rise 27.93 °C. This noticeable increase started November These higher temperatures may improve growth development earlier. But are predicted drop March, which could negatively affect development. A clear pattern future. findings provide insights for researchers, policymakers, academics, those involved farming. considering intensity planning, stakeholders can better anticipate future conditions. Developing adaptive management strategies reduce negative make most favorable conditions will be essential sustainable production context climate change.

Язык: Английский

Процитировано

1