Physicochemical Analysis of Parameters Influencing Soil Loss for a Selected Location in North Central Nigeria Using Rainfall Simulator

Environment and Natural Resources Research Pub Date : 2022-08-02 DOI:10.5539/enrr.v12n2p14

J. Musa, Otuaro Ebierin Akpoebidimiyen, Pius Olusegun Olufemi Dada, Eze Peter Chukwu, Jamil dams-Suberu

{"title":"Physicochemical Analysis of Parameters Influencing Soil Loss for a Selected Location in North Central Nigeria Using Rainfall Simulator","authors":"J. Musa, Otuaro Ebierin Akpoebidimiyen, Pius Olusegun Olufemi Dada, Eze Peter Chukwu, Jamil dams-Suberu","doi":"10.5539/enrr.v12n2p14","DOIUrl":null,"url":null,"abstract":"Developing a simple and proper model that can accurately predict runoff generation for various locations is in strong demand. This study developed a simple model based on the interactive effects of rainfall intensity and soil physicochemical properties on runoff using a locally produced rainfall simulator. The drop velocity (DV) was calculated to be 8.101m/s and 2.443 m/s when operated at maximum and minimum intensity, respectively, and the performance test revealed the experimental coefficient of uniformity (CU) and rainfall intensity from the simulator to be 79.86 % at 31.79 mmhr-1 and 78.03 % at 16.08 mmhr-1 at maximum and minimum intensity respectively. Results showed that the soils were loamy sand, with clay having the lowest percentage between 3.55% - 4% and sand having the highest percentage between 78.4% - 80.1% on both plots. Runoff significantly correlated with pH(H20), nitrogen and rainfall intensity for vegetative plot (p < 0.001, R2 = 86.29%) while for bare plot, runoff significantly correlated with pH (KCl), Electrical Conductivity, Exchangeable Calcium, and rainfall intensity (p < 0.001, R2 = 92.39%). This result revealed that rainfall intensity and alkalinity are key factors influencing runoff in the study location.","PeriodicalId":11699,"journal":{"name":"Environment and Natural Resources Research","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Environment and Natural Resources Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5539/enrr.v12n2p14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

Developing a simple and proper model that can accurately predict runoff generation for various locations is in strong demand. This study developed a simple model based on the interactive effects of rainfall intensity and soil physicochemical properties on runoff using a locally produced rainfall simulator. The drop velocity (DV) was calculated to be 8.101m/s and 2.443 m/s when operated at maximum and minimum intensity, respectively, and the performance test revealed the experimental coefficient of uniformity (CU) and rainfall intensity from the simulator to be 79.86 % at 31.79 mmhr-1 and 78.03 % at 16.08 mmhr-1 at maximum and minimum intensity respectively. Results showed that the soils were loamy sand, with clay having the lowest percentage between 3.55% - 4% and sand having the highest percentage between 78.4% - 80.1% on both plots. Runoff significantly correlated with pH(H20), nitrogen and rainfall intensity for vegetative plot (p < 0.001, R2 = 86.29%) while for bare plot, runoff significantly correlated with pH (KCl), Electrical Conductivity, Exchangeable Calcium, and rainfall intensity (p < 0.001, R2 = 92.39%). This result revealed that rainfall intensity and alkalinity are key factors influencing runoff in the study location.

查看原文本刊更多论文

利用降雨模拟器对尼日利亚中北部选定地点影响土壤流失参数的理化分析

迫切需要开发一种简单而适当的模型，以准确预测不同地点的径流生成。本研究利用本地生产的降雨模拟器建立了一个基于降雨强度和土壤物理化学性质对径流相互作用的简单模型。试验结果表明，在最大和最小强度下，试验均匀性系数(CU)和降雨强度分别为79.86%和78.03%，在最大和最小强度下分别为31.79 mmhr-1和16.08 mmhr-1。结果表明，两样地土壤均为壤土，粘土含量最低，为3.55% ~ 4%，砂土含量最高，为78.4% ~ 80.1%。植被样地径流量与pH(H20)、氮素和降雨强度显著相关(p < 0.001, R2 = 86.29%)，裸地径流量与pH(KCl)、电导率、交换钙和降雨强度显著相关(p < 0.001, R2 = 92.39%)。结果表明，降雨强度和碱度是影响研究区径流的关键因素。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Environment and Natural Resources Research

自引率

0.00%

发文量