Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Masengo Ilunga"'
Publikováno v:
Applied Sciences, Vol 14, Iss 4, p 1578 (2024)
Gelephu, located in the Himalayan region, has undergone significant development activities due to its suitable topography and geographic location. This has led to rapid urbanization in recent years. Assessing land use land cover (LULC) dynamics and N
Externí odkaz:
https://doaj.org/article/7591aeb6ce944a7cbf1093983d3155cd
Autor:
Masengo Ilunga
Publikováno v:
Entropy, Vol 22, Iss 9, p 1050 (2020)
This study assesses mainly the uncertainty of the mean annual runoff (MAR) for quaternary catchments (QCs) considered as metastable nonextensive systems (from Tsalllis entropy) in the Middle Vaal catchment. The study is applied to the surface water r
Externí odkaz:
https://doaj.org/article/b55d43cc7d3f4e759b37a3673d5a802c
Analytic Hierarchy Process (AHP) in Ranking Non-Parametric Stochastic Rainfall and Streamflow Models
Autor:
Masengo Ilunga
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 13, Iss 4, Pp 74-81 (2015)
Analytic Hierarchy Process (AHP) is used in the selection of categories of non-parametric stochastic models for hydrological data generation and its formulation is based on pairwise comparisons of models. These models or techniques are obtained from
Externí odkaz:
https://doaj.org/article/b140c0d180e94bd3b59632b75793ce0b
Autor:
Masengo Ilunga
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 13, Iss 5, Pp 28-35 (2015)
The current paper demonstrates the use of on-line multi-media, i.e. "chlorination of natural waters" and "dissociation of weak acids" from Merlot database, to enhance teaching and learning for Water Treatment Technology IV course material. This datab
Externí odkaz:
https://doaj.org/article/71c58b62e1b94233b7cfd6eb95205351
Autor:
Masengo Ilunga
Publikováno v:
Entropy, Vol 21, Iss 4, p 366 (2019)
This study evaluates essentially mean annual runoff (MAR) information gain/loss for tertiary catchments (TCs) in the Middle Vaal basin. Data sets from surface water resources (WR) of South Africa 1990 (WR90), 2005 (WR2005) and 2012 (WR2012) referred
Externí odkaz:
https://doaj.org/article/228676dc21e5482ba71214b7f3980169
Autor:
Masengo Ilunga
Publikováno v:
Entropy, Vol 20, Iss 4, p 281 (2018)
This study focuses preliminarily on the intra-tertiary catchment (TC) assessment of cross MAR pseudo-elasticity of entropy, which determines the impact of changes in MAR for a quaternary catchment (QC) on the entropy of another (other) QC(s). The TCs
Externí odkaz:
https://doaj.org/article/5f8b6536d1fc4dada1899be2ed7a819f
Autor:
Masengo Ilunga
Publikováno v:
Entropy, Vol 19, Iss 5, p 147 (2017)
The importance of the mean annual runoff (MAR)-hydrological variable is paramount for catchment planning, development and management. MAR depicts the amount of uncertainty or chaos (implicitly information content) of the catchment. The uncertainty as
Externí odkaz:
https://doaj.org/article/77b8fe2ca4d945aa95d76dc3273fcb08
Publikováno v:
Notulae Scientia Biologicae, Vol 11, Iss 2 (2019)
The ever increasing population and consequently increase in demand for food and the increasing exploitation of the land justifies the need for adequate studies on rainfall as an important factor affecting agricultural production. The date of the onse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5d8bcfdf096732c4cde9998de477abd
https://doi.org/10.15835/nsb11210314
https://doi.org/10.15835/nsb11210314
Autor:
Olumuyiwa Idowu Ojo, Masengo Ilunga
Publikováno v:
Natural Resources Management and Biological Sciences
Irrigated agriculture has a major impact on the environment, especially soil degradation. Soil salinity is a critical environmental problem, which has great impact on soil fertility and overall agricultural productivity. Since, soil salinity processe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934a241d0772b872e77ee2757b00e0fc
http://www.intechopen.com/articles/show/title/use-of-geoinformatics-techniques-for-the-assessment-and-mapping-of-soil-salinity-concepts-and-applic
http://www.intechopen.com/articles/show/title/use-of-geoinformatics-techniques-for-the-assessment-and-mapping-of-soil-salinity-concepts-and-applic
Autor:
Masengo Ilunga
Publikováno v:
Sustainable Development Goals Series ISBN: 9783030315429
The study used mainly regression models as predictive tools among mean annual runoff (MAR) pertaining to hydrological dataset a of surface water resources (WR) of South Africa; i.e. WR90, WR2005 and WR2012. MAR is the hydrological catchment response.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::121be529c5c9ebcc69e1c513dfdb538d
https://doi.org/10.1007/978-3-030-31543-6_9
https://doi.org/10.1007/978-3-030-31543-6_9