scholarly journals Spatio-temporal distribution of microalgae producing chlorophyll and carotenoid pigments in Bali Strait, Indonesia

2018 ◽  
Vol 20 (1) ◽  
pp. 61-67
Author(s):  
ANNA FAUZIAH ◽  
DIETRIECH G BENGEN ◽  
MUJIZAT KAWAROE ◽  
HEFNI EFFENDI ◽  
MAJARIANA KRISANTI
Keyword(s):  
Principal Component Analysis ◽  
Water Resources ◽  
Chlorophyll A ◽  
Correspondence Analysis ◽  
Temporal Distribution ◽  
Principal Component ◽  
Carotenoid Pigments ◽  
Chlorophyll B ◽  
Chaetoceros Gracilis ◽  
Spatio Temporal

Fauziah A, Bengen DG, Kawaroe M, Effendi H, Krisanti M. 2019. Spatio-temporal distribution of microalgae producing chlorophyll and carotenoid pigments in Bali Strait, Indonesia. Biodiversitas 20: 61-67. The Bali Strait waters become a place for various development activities that connect Java Island and Bali Island so that it is thought to have an impact in the life of microalgae that play an important role in the wealth of their water resources. This study aims to explore the spatiotemporal distribution of marine microalgae, which has the potential to produce chlorophyll and carotenoid pigments, as well as their relationship with the environmental characteristics of the Bali Strait waters. The research was conducted at the 5 stations in the morning, midday and afternoon. The data obtained were analyzed using Principal component analysis (PCA) and Correspondence analysis (CA). The results showed that chlorophyll-a, chlorophyll-b and carotenoid were mostly contained by the species Chaetoceros gracilis, Tripos lunula at station 5 (Pang-pang Bay) in the morning, midday and afternoon, and contained by the species Fragilariopsis cylindrus, Thalassiothrix fravenfeldii at station 3 (Ketapang-Gilimanuk ferriage) in the midday and afternoon. Spatially, salinity, ammonia, nitrate, and chlorophyll-a have significantly different values between stations, while temporally the content of chlorophyll-b and carotenoid are influenced by time (in the morning, midday and afternoon).

Evaluation of Regional Water Resources Carrying Capacity in Yan'an Based on Principal Component Analysis

2013 ◽  
Vol 864-867 ◽  
pp. 2331-2334
Author(s):  
Xiao Jun Liu ◽  
Jia Wang
Keyword(s):  
Principal Component Analysis ◽  
Water Resources ◽  
Sewage Treatment ◽  
Temporal Distribution ◽  
Principal Component ◽  
Environmental Water ◽  
Component Analysis ◽  
Treatment Rate ◽  
Factors Affecting ◽  
Development And Utilization

Yan'an is the center of political, economic, cultural and military in Shanbei, and is also a city of water resources extremely shortage. This paper by using the principal component analysis to select 13 indicators and establish the indicators system, two main ingredients reflect Yan'an WRCC, thus evaluate Yan'an WRCC in 2006 - 2011 timing data. Results show that: rate of urbanization, ecological and environmental water use rate, per capita GDP, rate of water resources development and utilization and sewage treatment rate are the main factors affecting Yan'an WRCC; 2006-2011 Yan'an in the temporal distribution of WRCC overall downward trend, the development and utilization of water resources potential in Yan'an weaker. Finally put forward reasonable suggestions aim at future sustainable development and utilization of water resources in Yan'an.

scholarly journals Spatio-Temporal Distribution of Chlorophyll-a In The Northern Waters of Central Java Using Aqua-MODIS

2019 ◽  
Vol 246 ◽  
pp. 012050
Author(s):  
Jusup Suprijanto ◽  
Ita Widowati ◽  
Anindya Wirasatriya ◽  
Uli Natul Khasanah
Keyword(s):  
Chlorophyll A ◽  
Temporal Distribution ◽  
Central Java ◽  
Spatio Temporal

scholarly journals Evaluation Methods of Water Environment Safety and Their Application to the Three Northeast Provinces of China

2019 ◽  
Vol 11 (18) ◽  
pp. 5135 ◽  
Author(s):  
Li ◽  
Sun ◽  
Yuan ◽  
Liu
Keyword(s):  
Principal Component Analysis ◽  
Water Resources ◽  
Chemical Oxygen Demand ◽  
Water Environment ◽  
Oxygen Demand ◽  
Principal Component ◽  
Component Analysis ◽  
Analysis Method ◽  
Industry Output ◽  
Per Capita

Focusing on the topic of water environment safety of China, this paper has selected the three northeast provinces of China as the research object due to their representativeness in economic development and resource security. By using the Entropy Weight Method, the Grey Correlation Analysis Method, and the Principal Component Analysis Method, this paper has first constructed a water environment safety evaluation system with 17 indicators from the economic, environmental, and ecological aspects. Furthermore, this paper has screened the initially selected indicators by the Principal Component Analysis Method and finally determined 11 indicators as the evaluation indicators. After indicator screening, this paper has adopted the improved Fuzzy Comprehensive Evaluation Method to evaluate the water environment safety of the three northeast provinces of China and obtained the change in water environment safety of different provinces from 2009 to 2017. The results show that the overall water environment safety of the region had improved first but worsened afterward, and that in terms of water safety level, Jilin Province ranked first, followed by Heilongjiang Province and Liaoning Province. The three factors that have the greatest impact on the water environment safety of the three provinces are: Liaoning—Chemical Oxygen Demand (score: 17.10), Per Capita Disposable Income (score: 13.50), and Secondary Industry Output (score: 11.50); Heilongjiang—Chemical Oxygen Demand (score: 18.64), Per Capita Water Resources (score: 12.75), and Concentration of Inhalable Particles (score: 10.89); Jilin—Per Capita Water Resources (score: 15.75), Chemical Oxygen Demand (score: 14.87), and Service Industry Output (score: 11.55). Based on analysis of the evaluation results, this paper has proposed corresponding policy recommendations to improve the water environment safety and promote sustainable development in the northeast provinces of China.

The Establishment of Principal Component Analysis Assessment Model for Drinking Water Quality of City Resource

2014 ◽  
Vol 675-677 ◽  
pp. 960-963
Author(s):  
Li Feng Sun ◽  
Qing Jie Qi ◽  
Xiao Liang Zhao ◽  
Rui Feng Li
Keyword(s):  
Water Quality ◽  
Principal Component Analysis ◽  
Drinking Water ◽  
Water Resources ◽  
Principal Component ◽  
Water Source ◽  
Component Analysis ◽  
Assessment Model ◽  
Affecting Factors

In order to effectively control pollution of sources of drinking water, improve the environmental quality of drinking water and guarantee the sanitation of drinking water, it is very important to assess water source quality. Main factors of drinking water were identified. Then principal component analysis was used to establish assessment model of drinking water, which could ensure that under the condition that the primitive data information was in the smallest loss, a small number of variables were used to replace the integrated multi-dimensional variables to simplify the data structure. The weightings of principal component were determinated as theirs pollution ratios. This paper was based on the theoretical study of principal component analysis, used the monitoring data on water quality of the main water resources in 2013 to evaluate and analyze the water quality of water resources. Analysis content included the main affecting factors, cause of pollution and the degree of pollution.The resulted showed that: the main affecting factors on water quality of Fo Si water source was CODMn, TP, fluoride.

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