Evaluation of water and soil qualities for giant freshwater prawn farming site suitability by using the AHP and GIS approaches in Jelebu, Negeri Sembilan, Malaysia

Rosazlin Abdullah; Firuza Begham Mustafa; Subha Bhassu; Nur Aziaty Amirah Azhar; Benjamin Ezekiel Bwadi; Nur Syabeera Begum Nasir Ahmad; Aaronn Avit Ajeng; Rosazlin Abdullah; Firuza Begham Mustafa; Subha Bhassu; Nur Aziaty Amirah Azhar; Benjamin Ezekiel Bwadi; Nur Syabeera Begum Nasir Ahmad; Aaronn Avit Ajeng

doi:10.3934/geosci.2021029

AIMS Geosciences

2021, Volume 7, Issue 3: 507-528. doi: 10.3934/geosci.2021029

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Research article

Evaluation of water and soil qualities for giant freshwater prawn farming site suitability by using the AHP and GIS approaches in Jelebu, Negeri Sembilan, Malaysia

1.
Institute of Biological Sciences, Faculty of Science, University of Malaya, 50603 Kuala Lumpur, Malaysia
2.
Centre for Research in Biotechnology for Agriculture (CEBAR), University of Malaya, 50603 Kuala Lumpur, Malaysia
3.
Department of Geography, Faculty of Arts and Social Sciences, University of Malaya, 50603 Kuala Lumpur, Malaysia
4.
Department of Geography, Taraba State University, PMB 1167, Jalingo, Nigeria

Received: 29 May 2021 Accepted: 07 September 2021 Published: 13 September 2021

Water and soil qualities play significant roles in the farming of giant freshwater prawn. The study evaluated water and soil qualities for giant freshwater prawn farming site suitability by using Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) in Jelebu, Malaysia. The water quality parameters measured were biochemical oxygen demand, chemical oxygen demand, ammonia nitrogen, pH, dissolved oxygen, water temperature, total suspended solids, nitrite concentration and phosphate concentration, meanwhile soil qualities investigated were land use, slope, pH, texture, organic carbon and organic matter. Site suitability analysis can assist to identify the best location for prawn production. Specialist's opinions were used to rank the level of preference and significance of each of the parameter while the pairwise comparison matrix was applied to calculate the weight of each parameter for prawn farming. There are about 45.41% of the land was most suitable, 28.89% was moderately suitable while 25.69% was found unsuitable for prawn farming. The combination of AHP and GIS could give a better database and guide map for planners and decision-makers to take more rewarding decisions when apportioning the land for prawn farming, for better productivity.
- analytic hierarchy process,
- soil quality,
- water quality,
- giant freshwater prawn,
- site suitability
Citation: Rosazlin Abdullah, Firuza Begham Mustafa, Subha Bhassu, Nur Aziaty Amirah Azhar, Benjamin Ezekiel Bwadi, Nur Syabeera Begum Nasir Ahmad, Aaronn Avit Ajeng. Evaluation of water and soil qualities for giant freshwater prawn farming site suitability by using the AHP and GIS approaches in Jelebu, Negeri Sembilan, Malaysia[J]. AIMS Geosciences, 2021, 7(3): 507-528. doi: 10.3934/geosci.2021029

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Abstract

Water and soil qualities play significant roles in the farming of giant freshwater prawn. The study evaluated water and soil qualities for giant freshwater prawn farming site suitability by using Analytic Hierarchy Process (AHP) and Geographic Information System (GIS) in Jelebu, Malaysia. The water quality parameters measured were biochemical oxygen demand, chemical oxygen demand, ammonia nitrogen, pH, dissolved oxygen, water temperature, total suspended solids, nitrite concentration and phosphate concentration, meanwhile soil qualities investigated were land use, slope, pH, texture, organic carbon and organic matter. Site suitability analysis can assist to identify the best location for prawn production. Specialist's opinions were used to rank the level of preference and significance of each of the parameter while the pairwise comparison matrix was applied to calculate the weight of each parameter for prawn farming. There are about 45.41% of the land was most suitable, 28.89% was moderately suitable while 25.69% was found unsuitable for prawn farming. The combination of AHP and GIS could give a better database and guide map for planners and decision-makers to take more rewarding decisions when apportioning the land for prawn farming, for better productivity.

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