Parameter estimation of Monod model by the Least-Squares method for microalgae <i>Botryococcus Braunii sp</i>

See, J J; Jamaian, Siti Suhana; Salleh, Rohayu Mohd; Nor, Maria Elena; Aman, Fazlina

doi:10.1088/1742-6596/995/1/012026

Cited by 8 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where P, E, and E p represent the precipitation, actual evaporation, and potential evaporation, respectively; ΔS is the variation of water storage, including soil water and groundwater storage variation, and it may be positive or negative values; E/(P-S) stands for the seasonal evaporation rate; Ep/(P-S) stands for the seasonal dryness index; w is the parameter representing the lower bound for the seasonal dryness index; ω is the parameter representing the effects of other factors such as vegetation, soil and topography on the partition of precipitation that determines the shape of the Budyko curve. The last two parameters (w and ω) are obtained by least-squares method, referring to See et al (2018).…”

Section: Hydrologic Simulation Proceduresmentioning

confidence: 99%

A new multi-scalar framework for quantifying the impacts of climate change and human activities on streamflow variation

Wang

Cui

et al. 2022

Water Supply

View full text Add to dashboard Cite

Most previous studies on attributing climate change and human activities to streamflow variation focused only on an annual scale, while few attempts were devoted to shorter time scales, such as seasonal or monthly scales. In this study, a multi-scalar framework for attribution analysis was constructed by integrating hydrological modeling into the Budyko-based decomposition method. Then, the multi-scalar framework was employed in the source region of the Yellow River (SRYR) as a case study. Moreover, the quantification results are compared with the simulation of a monthly water balance model (i.e., abcd model). The main results and findings indicate: (1) The mutation point of the annual streamflow is 1991 in the SRYR, and the monthly ABCD hydrological model achieves good performance in streamflow simulation for the prechange period and postchange period; (2) The contribution of climate change to streamflow variation is 65.99%, 37.50%, and 70.86% for annual, dry season, and wet season, respectively, indicating that climate change is the dominant factor controlling streamflow variation for the annual and wet season, while human activities play a major role in streamflow variation for dry season; (3) The hydrologic simulation method has verified the applicability of the Budyko-based decomposition method within a new multi-scalar framework

show abstract

Section: Hydrologic Simulation Proceduresmentioning

confidence: 99%

A new multi-scalar framework for quantifying the impacts of climate change and human activities on streamflow variation

Wang

Cui

et al. 2022

Water Supply

View full text Add to dashboard Cite

show abstract

“…There are many mathematical models that have been used to predict the microalgae growth which consider different parameters [20,21]. In this research, we focus on two types of substrate concentration which are nitrogen and phosphorus, and the light intensity.…”

Section: Mathematical Modelling and Kinetic Expression For Microalgaementioning

confidence: 99%

The Extended Monod Model for Microalgae Growth and Nutrient Uptake in Different Wastewaters

Yow¹,

Jamaian²

2018

IJET

View full text Add to dashboard Cite

Water pollution is a serious issue which always being concerned by public. Microalgae for wastewater treatment is an effective way to solve the problem due to its eco-friendly and apparently low cost. This research aims to investigate the efficiency of the mathematical model to estimate the microalgae growth and nutrient uptake by microalgae in wastewaters. The extended Monod model is applied in the Verhulst model to describe the microalgae growth and nutrient uptake by microalgae whereas microalgae Botryococcus sp. is the species of microalgae used in this research. The microalgae Botryococcus sp. growth and nutrient uptake in domestic, agricultural and industrial wastewater are estimated and the results reveal that the extended Monod model is suitable for the estimation of microalgae growth and nutrient uptake by microalgae. In addition, microalgae Botryococcus sp. is promising for treating domestic, agricultural and industrial wastewater.

show abstract

Dynamic Optimization Approach to Estimate Kinetic Parameters of Monod-Based Microalgae Growth Models

Jamaian

Zulkifli

Ling

2021

Methods in Molecular Biology

View full text Add to dashboard Cite

Parameter estimation of Monod model by the Least-Squares method for microalgae Botryococcus Braunii sp

Cited by 8 publications

References 4 publications

A new multi-scalar framework for quantifying the impacts of climate change and human activities on streamflow variation

A new multi-scalar framework for quantifying the impacts of climate change and human activities on streamflow variation

The Extended Monod Model for Microalgae Growth and Nutrient Uptake in Different Wastewaters

Dynamic Optimization Approach to Estimate Kinetic Parameters of Monod-Based Microalgae Growth Models

Contact Info

Product

Resources

About