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    Wyświetlanie 1-3 z 3
    Tytuł:
    Ecological risk assessment of heavy metals in soil developed on coastal marine sediment along coastal area in Anantigha, Calabar, Nigeria
    Autorzy:
    Aki, E. E.
    Isong, I. A.
    Powiązania:
    https://bibliotekanauki.pl/articles/1076124.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    ecological risk factor
    geo-accumulation Index
    heavy metal
    pollution load index marine sediment
    Opis:
    Coastal areas in Anantigha are utilized as dumpsite for industrial and domestic wastes including effluent from local industries and inhabitants of the area despite their usage for crop cultivation. Thus, the present study was designed to assess the concentration, pollution load and ecological risk of heavy metal in Anantigha coastal area. Standard pollution indices such as contamination factor (Cf), degree of contamination, pollution load index (PLI), enrichment factor (EF), geo-accumulation index (Igeo) and ecological risk index were deployed to assess the level of heavy metals contamination in the area. The results showed that the sediment was acidic under dried conditions and low in conductivity. The mean concentration levels of all the heavy metals were lower than their mean background values except for Al. The orders of dominance for concentration of heavy metals were: Al>Fe>Mn>Cu>Zn (Station 1) and Al>Fe>Mn>Zn>Cu (Stations 2, 3 and 4). Analyzed data showed that the sediments in the area are contaminated with Al with Igeo result showing station 2 and 4 been moderately to heavily contaminated with Al while station 4 was heavily contaminated with aluminium. Station 1 had low degree of contamination, whereas station 2 and 4 had moderate degree of contamination, and station 3 showed considerable degree of contamination. The PLI result indicates unpolluted condition and the area were not enriched by the studied heavy metals as shown by EF values. Hence, the sediment in Anantigha coastal marine area was classified as having low ecological risk factor. However, the levels of these metals are not static; there is tendency for increase as a result of increased human input and activities. Hence, there is a need for regular soil testing.
    Źródło:
    World Scientific News; 2019, 116; 1-24
    2392-2192
    Pojawia się w:
    World Scientific News
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Economics of Environmental Pollution on Cassava-Based Farmers’ Health and Production Efficiency within Lafarge Cement Concession Area in Mfamosing, Cross River State, Nigeria
    Autorzy:
    Edet, E. O.
    Udoe, P. O.
    Isong, I. A.
    Abiam, N. E.
    Powiązania:
    https://bibliotekanauki.pl/articles/1077276.pdf
    Data publikacji:
    2019
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Cement Pollution
    Lafarge
    Mfamosing
    Stochastic Frontier
    cassava-based farmers
    Opis:
    The paper undertakes an assessment of the economics of environmental pollution on cassava-based farmers’ health and production efficiency within the Lafarge cement concession area in Mfamosing, Akamkpa Local Government Area, Cross River State. Data for the study were sourced from 60 cassava-based farmers drawn from neighbourhood and non-neighbourhood locations and analyzed using descriptive statistics and stochastic production frontier techniques. The result showed that farming activities in the area have been dominated by females with an average age of 43 and 35 years of age and household size between 4 and 6 persons. Clearly, the results indicate that cement plant activities have reduced farm productivity over the last 5 years, and has affected the livelihood of the farmers. The study also averred that respiratory diseases, diarrhea, skin rashes, heart disease, asthma, coughs and skin cancer have been the various health challenges suffered by the farmers. According to the study results, farmers lost 44 days due to heart disease, 33 days due to respiratory diseases, and 7 days due to diarrhea. The result of the maximum likelihood estimates (MLEs) of the stochastic frontier production function indicate that hired labour, quantity of fertilizer used and quantity of cassava stem cuttings were the significant variables that influenced cassava yield. The estimated technical efficiency (TE) ranged from 0.45 - 0.99, with a mean index of 0.67 (target group) and 0.57 – 0.99, with a mean of 0.82 (control group). The number of days lost due to illness was the most significant variable influencing inefficiency levels in the study area. It was, therefore, recommended that policies aimed at increasing efficiency should focus on improving health care services in the farming communities, while encouraging efficient level of pollution control by the prescribed cement factory, ab initio.
    Źródło:
    World News of Natural Sciences; 2019, 23; 182-199
    2543-5426
    Pojawia się w:
    World News of Natural Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Impact of climate variability on yield of maize and yam in Cross River State, Nigeria: An autoregressive distributed lag bound approach
    Autorzy:
    Edet, E. O.
    Udoe, P. O.
    Isong, I. A.
    Abang, S. O.
    Ovbiroro, F. O.
    Powiązania:
    https://bibliotekanauki.pl/articles/1031443.pdf
    Data publikacji:
    2021
    Wydawca:
    Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
    Tematy:
    Sustainable development
    error correction model
    food security
    yield
    Opis:
    The study examined the impact of climate variability on yield of maize and yam in Cross River State, Nigeria. The specific objectives of the study were to determine the long-run and short-run impact of climate variability factors on yields of maize and yam. Data were sourced from the Nigerian Meteorological Agency (NiMeT) and Cross River State Ministry of Agriculture spanning from 1990-2016. Data obtained were analyzed using inferential statistics. Precisely, the model was estimated by the Ordinary Least Squares (OLS) multiple regression technique, which is within the Autoregressive Distributed Lag Bound approach and error correction testing framework. Both model-1 (maize yield) and model-2 (yam yield) passed through the conditions of the diagnostics and stability test. The study revealed that climate variables had a significant impact on maize yield both in the long and short-run. Based on the findings, it was concluded that proactive measures should be put in place to aid crop farmers adapt to the prevailing and looming threats of climate variability for the purpose of attaining the State’s food security balance sheet. To sustain this drive, an institutional and infrastructural support system is advocated in order to meet one of the goals of sustainable development agenda of the United Nations. Policy recommendations on how to cushion the impact of climate variability on the prescribed crops have been appropriately cited.
    Źródło:
    World News of Natural Sciences; 2021, 36; 60-74
    2543-5426
    Pojawia się w:
    World News of Natural Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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