3 research outputs found
Nutrient dynamic in sediment and organs of the mangrove
No full textAvicennia marina is a mangrove species that can be found on the coast of Indonesia, specifically in Lampung province. The aim of this study was to investigate the relationship between Avicennia marina nutrients in natural mangroves. This study was conducted in the coast of Pesawaran, Lampung, Indonesia in December 2023. Nutrient sampling included leaves, roots, and sediment in the Avicennia marina mangrove area. The statistical analysis used the principal component analysis (PCA) approach. The nutrients analyzed were nitrogen (N), phosphorus (P), zinc (Z), magnesium (Mg), and iron (Fe) in the leaves, roots, and sediment. The results of this study revealed the eigenvalues and loading factors of the nutrient variables. The main factor (F1) presented 99.78% of the variable data where each variables contributed not significantly different. The main to the least variables were Mg (0.47), Fe (-0.46), N (0.43), Zn (-0.43), and P (0.42). The negative values of Fe and Zn variables indicated a negative correlation with Mg, N, and P. If the Fe and Zn values increase, then the Mg, N, and P values will be the opposite
Nutrient dynamic in sediment and organs of the mangrove Avicennia marina (Forsk.) Vierh
No full textAvicennia marina is a mangrove species that can be found on the coast of Indonesia, specifically in Lampung province. The aim of this study was to investigate the relationship between Avicennia marina nutrients in natural mangroves. This study was conducted in the coast of Pesawaran, Lampung, Indonesia in December 2023. Nutrient sampling included leaves, roots, and sediment in the Avicennia marina mangrove area. The statistical analysis used the principal component analysis (PCA) approach. The nutrients analyzed were nitrogen (N), phosphorus (P), zinc (Z), magnesium (Mg), and iron (Fe) in the leaves, roots, and sediment. The results of this study revealed the eigenvalues and loading factors of the nutrient variables. The main factor (F1) presented 99.78% of the variable data where each variables contributed not significantly different. The main to the least variables were Mg (0.47), Fe (-0.46), N (0.43), Zn (-0.43), and P (0.42). The negative values of Fe and Zn variables indicated a negative correlation with Mg, N, and P. If the Fe and Zn values increase, then the Mg, N, and P values will be the opposite
PEMANFAATAN METODE SEMI-ANALITIK UNTUK PENENTUAN BATIMETRI MENGGUNAKAN CITRA SATELIT RESOLUSI TINGGI
No full textSemi-Analytical methods for detecting bathymetry using medium resolution satellite image data is the development of methods for determining satellite-based bathymetry. This method takes into account the principle of the propagation of light waves in water and the intensity of incident light which decreases according to the increase in depth traversed. The satellite image used is SPOT 7. The image is the latest generation of SPOT satellites which have 4 multispectral channels with a spatial resolution of 6 meters. Therefore, this high-resolution image is expected to produce bathymetry in shallow marine waters more accurately. Semi-analytical methods used to detect bathymetry are Benny and Dawson's methods. This method uses a comparison of the reflectance value between deep water and shallow water by taking into account the approach of the water column attenuation coefficient and the elevation angle of the satellite. The purpose of this study is to detect bathymetry in shallow sea waters. The study area is Karimunjawa Island coastal waters, Jepara, Central Java. The data used is the SPOT 7 acquisition image dated 18 May 2017 has been analysed, in situ depth data as well as tide data. The results showed that off the three SPOT 7 channels, the depth range of 0 - 11.45 meters for the blue channel band, 0 - 10.49 meters for the green channel and 0 - 9.72 meters for the channel red. The accuracy of the bathymetry detection results from the green channel shows quite good results to a depth of less than 5 meters. Green channel parameters of the Benny Dawson algorithm used are 0.3274 for Ld, 0.8932 for Lo, attenuation coefficient of 0.823 and Cosec E '0.6311272.
 
