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Delineation of Irrigation Management Zones Using Geographical Weighted Principal Component Analysis and Possibilistic Fuzzy C-Means Clustering Approach

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Title Delineation of Irrigation Management Zones Using Geographical Weighted Principal Component Analysis and Possibilistic Fuzzy C-Means Clustering Approach
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Creator Pravash Chandra Moharana
Upendra Kumar Pradhan
Roomesh Kumar Jena
Sonalika Sahoo
Ram Swaroop Meena
 
Subject Irrigation management zone
Geostatistics
Geographical weighted principal component analysis
Possibilistic fuzzy c-means
Hot arid ecosystem
 
Description Not Available
Delineation of irrigation management zones (IMZs) depend on spatial variability of soil hydro-physical properties like soil texture, bulk density (BD), field capacity (FC), permanent wilting point (PWP) and available water content (AWC). This work presents a method for delineation of irrigation zones under such constraints. A total of 67 geo-referenced soil profiles were collected from the study area covering an area of 4206 ha. The spatial variability and correlations of hydro-physical properties were firstly characterized using geostatistics and principal component analysis. Their spatial variability was analyzed and geostatistical analysis showed that Gaussian, spherical and circular models were the best-fit models. Then, IMZs were delineated by geographical weighted principal component analysis (GWPCA) and possibilistic fuzzy C-means (PFCM) clustering algorithm. Optimum clusters were identified using fuzzy performance index (FPI) and normalized classification entropy (NCE). The study area was divided into two IMZs by PFCM clustering, and soil hydro-physical properties had high uniformity in each subzone. The IMZs can provide the basis for decision making of precision irrigation practices. The IMZ-based crop water requirement reduces the application quantity of water significantly at a large extent and maximizes crop production.
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Date 2023-12-21T12:32:54Z
2023-12-21T12:32:54Z
2022-09-28
 
Type Book chapter
 
Identifier Moharana, P.C., Pradhan, U.K., Jena, R.K., Sahoo, S., Meena, R.S. (2022). Delineation of Irrigation Management Zones Using Geographical Weighted Principal Component Analysis and Possibilistic Fuzzy C-Means Clustering Approach. In: Shit, P.K., Adhikary, P.P., Bhunia, G.S., Sengupta, D. (eds) Soil Health and Environmental Sustainability. Environmental Science and Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-09270-1_10
978-3-031-09269-5
http://krishi.icar.gov.in/jspui/handle/123456789/81086
 
Language English
 
Relation Not Available;
 
Publisher Springer Nature Switzerland AG