The study entitled “Analysis of the impact of landslides on rural community livelihood in Rwanda. Case of Ngororero District” was conducted to analyze the impact of landslides on rural community livelihood in Rwanda, a case of Ngororero District. The study objectives were to: Delineate landslides endangered areas and identify the causes, evaluate rural community livelihood status in Ngororero district throughout the study (2016-2020), and analyze the impact of landslides on rural community livelihood in Ngororero District. The study targeted 19,999 households as the study population; from the three sectors of the Ngororero district namely, Muhanda, Kavumu, and Sovu sectors. A sample of 392 members from that population was selected purposively. Data collection tools and techniques used to obtain primary and secondary data were interviews, questionnaires, observation, and documentation. The study was survey in nature and used qualitative, quantitative, and correlative research designs. Data analysis and map production were done using SPSS 16.0, and Geographic Information System (GIS) 10.8 software. The study findings confirm that the landslides occurrence had a significant impact on community members’ livelihood in Ngororero District, such as deaths and injuries of community members, income reduction, food insecurity problems, displacements and houses destruction. It is recommended that the government manages the situation and keeps it in control so that both government and the citizens use appropriate and durable materials in the construction of houses and infrastructures like roads, classrooms, and health centers to avoid potential damage due to landslide occurrence.
{"title":"Analysis of the impact of landslides on rural community livelihood in Rwanda: Case of Ngororero district","authors":"Ihorikiza Marie Claudine, Pancras Ndokoye","doi":"10.18488/10.v12i1.3400","DOIUrl":"https://doi.org/10.18488/10.v12i1.3400","url":null,"abstract":"The study entitled “Analysis of the impact of landslides on rural community livelihood in Rwanda. Case of Ngororero District” was conducted to analyze the impact of landslides on rural community livelihood in Rwanda, a case of Ngororero District. The study objectives were to: Delineate landslides endangered areas and identify the causes, evaluate rural community livelihood status in Ngororero district throughout the study (2016-2020), and analyze the impact of landslides on rural community livelihood in Ngororero District. The study targeted 19,999 households as the study population; from the three sectors of the Ngororero district namely, Muhanda, Kavumu, and Sovu sectors. A sample of 392 members from that population was selected purposively. Data collection tools and techniques used to obtain primary and secondary data were interviews, questionnaires, observation, and documentation. The study was survey in nature and used qualitative, quantitative, and correlative research designs. Data analysis and map production were done using SPSS 16.0, and Geographic Information System (GIS) 10.8 software. The study findings confirm that the landslides occurrence had a significant impact on community members’ livelihood in Ngororero District, such as deaths and injuries of community members, income reduction, food insecurity problems, displacements and houses destruction. It is recommended that the government manages the situation and keeps it in control so that both government and the citizens use appropriate and durable materials in the construction of houses and infrastructures like roads, classrooms, and health centers to avoid potential damage due to landslide occurrence.","PeriodicalId":281124,"journal":{"name":"International Journal of Geography and Geology","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116461627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The study aimed to assess the impact of soil erosion on cost of Gihira Water Treatment Plant (GWTP). Raw water and treated data were gathered from GWTP in different seasons (rain and dry season). The parameters such as TSS, Turbidity and E.coli were determined with standard methods. Documentary review was used to collect data related to annual rainfall, elevation, soil texture, land use and vegetation cover. The results revealed that heavy rainfall impacted negatively quantity of water produced at GWTP with rate of 6.8%, 10.80% and 6.67% in March, April to May and1.57%, 1.73% and 1.66% in June, July and August in 2017. In 2018, the rates of 12.09%, 5.57% and 4.76% in March, April and May and the rates of 1.81%, 1.09% and 1.93% in June, July and August were recorded. The same situation was reproduced in 2019, where the rates were 8.09%, 4.76% and 4.76% in rain season against of 1.38%, 0.85 and 0.55% of dry season. The findings revealed that a high disturbance of the water treatment occurred during the rainy season due to agriculture practices and high steep slope of the areas which lead to high rate of soil erosion in the catchment and more chemicals were used to treat potable water than in dry seasons.
{"title":"Impact of soil erosion on water treatment cost: Case of Gihira water treatment plant, Rubavu, Rwanda","authors":"Nsanzumukiza Martin Vincent, Emmanuel Niwenshuti, Nzayinambaho Justin, Mukankusi Athalie, Sindikubwabo Theoneste","doi":"10.18488/10.v12i1.3318","DOIUrl":"https://doi.org/10.18488/10.v12i1.3318","url":null,"abstract":"The study aimed to assess the impact of soil erosion on cost of Gihira Water Treatment Plant (GWTP). Raw water and treated data were gathered from GWTP in different seasons (rain and dry season). The parameters such as TSS, Turbidity and E.coli were determined with standard methods. Documentary review was used to collect data related to annual rainfall, elevation, soil texture, land use and vegetation cover. The results revealed that heavy rainfall impacted negatively quantity of water produced at GWTP with rate of 6.8%, 10.80% and 6.67% in March, April to May and1.57%, 1.73% and 1.66% in June, July and August in 2017. In 2018, the rates of 12.09%, 5.57% and 4.76% in March, April and May and the rates of 1.81%, 1.09% and 1.93% in June, July and August were recorded. The same situation was reproduced in 2019, where the rates were 8.09%, 4.76% and 4.76% in rain season against of 1.38%, 0.85 and 0.55% of dry season. The findings revealed that a high disturbance of the water treatment occurred during the rainy season due to agriculture practices and high steep slope of the areas which lead to high rate of soil erosion in the catchment and more chemicals were used to treat potable water than in dry seasons.","PeriodicalId":281124,"journal":{"name":"International Journal of Geography and Geology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128666278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Traffic is one of the most influential factors in choosing the route to reach the destination. It can be said that a large percentage of people prefer a long but low traffic route than a short route with heavy traffic. Therefore, traffic is a very determining factor in societies, especially in metropolitan areas. The issue of traffic forecasting is another important factor in the field of traffic. In such a way that the traffic of the coming days can be predicted based on the traffic of the previous days. In this paper, traffic forecasting in the coming days is done using a neural network algorithm based on the collected traffic data. Traffic forecasting is performed using Basic Neural Network methods, Feed-forward Levenberg-Marquardt, Conjugate Gradient Neural Network and Bayesian Neural Network. The results of the forecast are then compared with real observations. The results show that the Feed-forward Levenberg-Marquardt method predicts traffic data with 81.59% accuracy, which is the most accurate method among the others. The accuracy of Bayesian Neural Network, Conjugate Gradient Neural Network and Basic Neural Network methods is 81.55, 81.50 and 75%, respectively. Regression values of 24 hours a day were also estimated and it was found that the proximity of input and output values in the Basic Neural Network method is approximately 80%. This parameter was obtained 69.69%, 69.71% and 69.87% for three Feed-forward Levenberg-Marquardt, Conjugate Gradient Neural Network and Bayesian Neural Network respectively.
{"title":"Predicting Traffic Data in GIS using Different Neural Network Methods","authors":"Zeynab Ghasempoor, S. Behzadi","doi":"10.18488/10.v11i2.3166","DOIUrl":"https://doi.org/10.18488/10.v11i2.3166","url":null,"abstract":"Traffic is one of the most influential factors in choosing the route to reach the destination. It can be said that a large percentage of people prefer a long but low traffic route than a short route with heavy traffic. Therefore, traffic is a very determining factor in societies, especially in metropolitan areas. The issue of traffic forecasting is another important factor in the field of traffic. In such a way that the traffic of the coming days can be predicted based on the traffic of the previous days. In this paper, traffic forecasting in the coming days is done using a neural network algorithm based on the collected traffic data. Traffic forecasting is performed using Basic Neural Network methods, Feed-forward Levenberg-Marquardt, Conjugate Gradient Neural Network and Bayesian Neural Network. The results of the forecast are then compared with real observations. The results show that the Feed-forward Levenberg-Marquardt method predicts traffic data with 81.59% accuracy, which is the most accurate method among the others. The accuracy of Bayesian Neural Network, Conjugate Gradient Neural Network and Basic Neural Network methods is 81.55, 81.50 and 75%, respectively. Regression values of 24 hours a day were also estimated and it was found that the proximity of input and output values in the Basic Neural Network method is approximately 80%. This parameter was obtained 69.69%, 69.71% and 69.87% for three Feed-forward Levenberg-Marquardt, Conjugate Gradient Neural Network and Bayesian Neural Network respectively.","PeriodicalId":281124,"journal":{"name":"International Journal of Geography and Geology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128123317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mananjary district is known for its gold production. To better understand the gold mineralization distribution, a regional structural study was undertaken using airborne geophysics and remote sensing (RS). Magnetometry data, Landsat Operational Land Imager (OLI) 8 satellite-image and DEM (Digital Elevation Model) have been processed and interpreted. Signals associated with deep structures are weak and dominated by strong signals from surficial magnetic sources. To overcome this problem, local-phase based filters were used. A deep knowledge of each filter allows to use it separately or in combination with other filters. RS is a powerful tool for a regional study. Color composite technique and DEM analysis were helpful to bring out faults and structures. The combination of magnetometry and RS allows geologists to efficiently delineate prospective zones. The study has unveiled a dextral strike-slip fault (SSF) over 240km and associated faults, folds, flower structure and pull-apart basins within the Mananjary gold district. Moreover, the SSF structurally controlled the spatial distribution of Vohilava-Nosivolo and Maha groups. R Riedel shear faults appear as North North East – South South West faults. R’ Riedel shear faults occur in the north of the study area with East North East -West South West orientation. Tectonic block rotation occurred between Ampasinambo and Soavina. P’ shear faults striking West North West – East South East occur in Vohilava. Some folds are associated with the SSF as well. Vohilava positive flower structure which used to be a syncline and its antiform equivalent are SSF footprints. The latter was active since Mesoarchean.
Mananjary地区以黄金生产而闻名。为了更好地了解金矿化分布，利用航空地球物理与遥感(RS)对该区进行了区域构造研究。对磁力计数据、Landsat Operational Land Imager (OLI) 8卫星图像和DEM(数字高程模型)进行了处理和解释。与深部构造有关的信号较弱，主要由地表磁源发出的强信号所控制。为了克服这个问题，采用了基于局部相位的滤波器。对每个过滤器有深入的了解，可以单独使用它，也可以与其他过滤器结合使用。RS是区域研究的有力工具。彩色合成技术和DEM分析有助于断层和构造的识别。磁强计和RS的结合使地质学家能够有效地圈定远景带。研究揭示了马南加里金矿区内一条长度超过240公里的右旋走滑断层及其伴生的断层、褶皱、花状构造和拉分盆地。此外，SSF在结构上控制了Vohilava-Nosivolo和Maha类群的空间分布。R - Riedel剪切断裂为北-东-南-南-西断裂。研究区北部出现R ' Riedel剪切断裂，走向为东北东西-西南西。在Ampasinambo和Soavina之间发生了构造块体旋转。在沃希拉瓦，有向西、北、西、东、南、东走向的P型剪切断裂。一些褶皱也与SSF有关。曾经是向斜的Vohilava正花构造及其反形等价物是SSF足迹。后者自中太古宙以来活跃。
{"title":"Airborne Magnetic Survey and Remote Sensing Applied to Structural Study in Vohilava Area Madagascar","authors":"Razananirina Henri, Rakotondrazafy Raymond","doi":"10.18488/10.v11i2.3165","DOIUrl":"https://doi.org/10.18488/10.v11i2.3165","url":null,"abstract":"Mananjary district is known for its gold production. To better understand the gold mineralization distribution, a regional structural study was undertaken using airborne geophysics and remote sensing (RS). Magnetometry data, Landsat Operational Land Imager (OLI) 8 satellite-image and DEM (Digital Elevation Model) have been processed and interpreted. Signals associated with deep structures are weak and dominated by strong signals from surficial magnetic sources. To overcome this problem, local-phase based filters were used. A deep knowledge of each filter allows to use it separately or in combination with other filters. RS is a powerful tool for a regional study. Color composite technique and DEM analysis were helpful to bring out faults and structures. The combination of magnetometry and RS allows geologists to efficiently delineate prospective zones. The study has unveiled a dextral strike-slip fault (SSF) over 240km and associated faults, folds, flower structure and pull-apart basins within the Mananjary gold district. Moreover, the SSF structurally controlled the spatial distribution of Vohilava-Nosivolo and Maha groups. R Riedel shear faults appear as North North East – South South West faults. R’ Riedel shear faults occur in the north of the study area with East North East -West South West orientation. Tectonic block rotation occurred between Ampasinambo and Soavina. P’ shear faults striking West North West – East South East occur in Vohilava. Some folds are associated with the SSF as well. Vohilava positive flower structure which used to be a syncline and its antiform equivalent are SSF footprints. The latter was active since Mesoarchean.","PeriodicalId":281124,"journal":{"name":"International Journal of Geography and Geology","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126574466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Measuring the spatial distribution of populations has been a complex process and has been a concern of demographers, researchers, geographers, and academics around the world. This paper attempts to take a step forward by consciously taking it. It is a very complex undertaking because it involves facts from the population or the study area. And in practice in developing countries, the facts or practical information are hard to come by. The paper objectively focuses on measuring the extent of population distribution in the Morogoro region using the approaches of Otis (1957). The study was intended to provide a basis for planning for policymakers, governments, non-governmental organisations and community-based organisations. The methodology chosen in this paper is an exhaustive documentary analysis, as the data on this type of study is almost always credible and available to the public. Extensive use of secondary data was used. After review, recalculation, preliminary discussion and recast; the region's population has been shown to be unequally distributed, less concentrated in one settlement and less dense per square kilometre, even below the national average of 51 inhabitants per square kilometre. It suggests an uneven distribution of resources, making parts of the region populated and others less populated. Government has a role to play in ensuring that population distribution reflects available resources. Every measure selected and applied has some challenges or shortcomings, whether it is the availability of data or the accuracy of the tool.
{"title":"Measures of Spatial Population Distribution in Morogoro Region","authors":"Salum Haji Hamisi","doi":"10.18488/10.v11i1.2920","DOIUrl":"https://doi.org/10.18488/10.v11i1.2920","url":null,"abstract":"Measuring the spatial distribution of populations has been a complex process and has been a concern of demographers, researchers, geographers, and academics around the world. This paper attempts to take a step forward by consciously taking it. It is a very complex undertaking because it involves facts from the population or the study area. And in practice in developing countries, the facts or practical information are hard to come by. The paper objectively focuses on measuring the extent of population distribution in the Morogoro region using the approaches of Otis (1957). The study was intended to provide a basis for planning for policymakers, governments, non-governmental organisations and community-based organisations. The methodology chosen in this paper is an exhaustive documentary analysis, as the data on this type of study is almost always credible and available to the public. Extensive use of secondary data was used. After review, recalculation, preliminary discussion and recast; the region's population has been shown to be unequally distributed, less concentrated in one settlement and less dense per square kilometre, even below the national average of 51 inhabitants per square kilometre. It suggests an uneven distribution of resources, making parts of the region populated and others less populated. Government has a role to play in ensuring that population distribution reflects available resources. Every measure selected and applied has some challenges or shortcomings, whether it is the availability of data or the accuracy of the tool.","PeriodicalId":281124,"journal":{"name":"International Journal of Geography and Geology","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130132149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Olususi Joseph Ige, Ayodele Olusiji Samuel, Ajigo Isaac Ominyi
The south-eastern part of Ilesha Schist belt which comprises of (Ogotun,Ikeji-Ile and Ipetu-the study area has been totally neglected by previous researchers without any literatures that could serve as clues to mineral exploration in the study area which necessitate this research. Geological mapping was undertaken to determine the underlying rocks followed by systematic sampling at one rock per 3.25km2, petrographic and geochemical analysis of the rocks. The results of field examination confirmed the existence of migmatite-gneisses, quartzites, quartz-schists, meta-conglomerates and porphyritic granites as the dominant rocks while petrographic studies revealed quartz, biotite, feldspar (microcline and plagioclase) and opaque minerals. However, five rocks samples whose thin sections showed opaque minerals were viewed under the reflecting light microscope and a brassy yellow mineral called chalcopyrite was confirmed. Geochemical analytical results revealed that SiO2 (67.37%-62.46%) and Al2O3 (17.35%-11.62%) have higher concentrations, indicating the aluminosilicate nature of the rocks. The trace elemental analysis revealed very high concentrations of Ba (2533-10) ppm and Fe (55000-4100) ppm, followed by moderate to low and very low concentrations of Cu (38.40-12.50) ppm, Pb (.90-39.40) ppm, Zn (156.00-7.00) ppm, Co (65.20-1.40) ppm, Mn (148.00-981.00) ppm,, As (1.00-3.00) ppm, Th (0.50-10.00) ppm, Rb (311.60-50) ppm ,Cr (1310.-5.00) ppm and U (>0.1-6.3) ppm. Similarly, the principal component analysis (PCA) of the rocks revealed Cu-Pb-Zn-Mn-Fe mineral associations with 35.24% also confirmed massive sulphide mineralization. Therefore, the overall results indicated the potentials of the study area to be possibly enriched with other hidden ore deposits and radioactive minerals.
{"title":"Geochemical Exploration for Metallic Minerals in the Meta-Sedimentary Rocks of Ogotun, Ikeji-Ile and Ipetu, Southwestern Nigeria","authors":"Olususi Joseph Ige, Ayodele Olusiji Samuel, Ajigo Isaac Ominyi","doi":"10.18488/10.v11i1.2910","DOIUrl":"https://doi.org/10.18488/10.v11i1.2910","url":null,"abstract":"The south-eastern part of Ilesha Schist belt which comprises of (Ogotun,Ikeji-Ile and Ipetu-the study area has been totally neglected by previous researchers without any literatures that could serve as clues to mineral exploration in the study area which necessitate this research. Geological mapping was undertaken to determine the underlying rocks followed by systematic sampling at one rock per 3.25km2, petrographic and geochemical analysis of the rocks. The results of field examination confirmed the existence of migmatite-gneisses, quartzites, quartz-schists, meta-conglomerates and porphyritic granites as the dominant rocks while petrographic studies revealed quartz, biotite, feldspar (microcline and plagioclase) and opaque minerals. However, five rocks samples whose thin sections showed opaque minerals were viewed under the reflecting light microscope and a brassy yellow mineral called chalcopyrite was confirmed. Geochemical analytical results revealed that SiO2 (67.37%-62.46%) and Al2O3 (17.35%-11.62%) have higher concentrations, indicating the aluminosilicate nature of the rocks. The trace elemental analysis revealed very high concentrations of Ba (2533-10) ppm and Fe (55000-4100) ppm, followed by moderate to low and very low concentrations of Cu (38.40-12.50) ppm, Pb (.90-39.40) ppm, Zn (156.00-7.00) ppm, Co (65.20-1.40) ppm, Mn (148.00-981.00) ppm,, As (1.00-3.00) ppm, Th (0.50-10.00) ppm, Rb (311.60-50) ppm ,Cr (1310.-5.00) ppm and U (>0.1-6.3) ppm. Similarly, the principal component analysis (PCA) of the rocks revealed Cu-Pb-Zn-Mn-Fe mineral associations with 35.24% also confirmed massive sulphide mineralization. Therefore, the overall results indicated the potentials of the study area to be possibly enriched with other hidden ore deposits and radioactive minerals.","PeriodicalId":281124,"journal":{"name":"International Journal of Geography and Geology","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127161679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-12-28DOI: 10.18488/journal.10.2021.102.36.49
S. M., T. V
Groundwater is one of the world's most valuable resources, which contributes 85% of drinking water supplies. It is imperative to explore ground-water zone for the utilization to the people. Edappadi block in Salem District, Tamil Nadu, is rocky terrain largely depends on groundwater for drinking and irrigation. One of the most useful tools for locating ground water potential zones is remote sensing and geographic information system (GIS). Different types of thematic maps, such as lithology, geomorphology, drainage density, slope, lineament, and land use/land cover, can be easily created by visual interpretation of IRS-1C, LISS-III data and maps are prepared using GIS. The water potential zones are determined using a rank and weightage approach. In order to demarcate the water potential zones, the vector overlay method is used. Lithology is given more weight than geomorphology, followed by lineament density, lineament frequency, lineament intersection, slope and land use/land cover. Based on the overall results, the potential zone of groundwater in the research region is divided into five groups: Excellent, Very Good, Good, Moderate, and Poor.
{"title":"Demarcation of Groundwater Potential Zones Using Geospatial Technology in Edappadi Block, Salem District, Tamil Nadu, India","authors":"S. M., T. V","doi":"10.18488/journal.10.2021.102.36.49","DOIUrl":"https://doi.org/10.18488/journal.10.2021.102.36.49","url":null,"abstract":"Groundwater is one of the world's most valuable resources, which contributes 85% of drinking water supplies. It is imperative to explore ground-water zone for the utilization to the people. Edappadi block in Salem District, Tamil Nadu, is rocky terrain largely depends on groundwater for drinking and irrigation. One of the most useful tools for locating ground water potential zones is remote sensing and geographic information system (GIS). Different types of thematic maps, such as lithology, geomorphology, drainage density, slope, lineament, and land use/land cover, can be easily created by visual interpretation of IRS-1C, LISS-III data and maps are prepared using GIS. The water potential zones are determined using a rank and weightage approach. In order to demarcate the water potential zones, the vector overlay method is used. Lithology is given more weight than geomorphology, followed by lineament density, lineament frequency, lineament intersection, slope and land use/land cover. Based on the overall results, the potential zone of groundwater in the research region is divided into five groups: Excellent, Very Good, Good, Moderate, and Poor.","PeriodicalId":281124,"journal":{"name":"International Journal of Geography and Geology","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123255096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-07-30DOI: 10.18488/journal.10.2021.101.1.8
K. Rizwan, V. Thirukumaran
{"title":"Evaluation of Groundwater Quality Using Water Quality Index in Gadilam River Basin, Tamil Nadu, India","authors":"K. Rizwan, V. Thirukumaran","doi":"10.18488/journal.10.2021.101.1.8","DOIUrl":"https://doi.org/10.18488/journal.10.2021.101.1.8","url":null,"abstract":"","PeriodicalId":281124,"journal":{"name":"International Journal of Geography and Geology","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126321308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-08-23DOI: 10.18488/journal.10.2019.82.69.86
C. Faye, Boubacar Solly, B. Sané, A. Cissé
{"title":"Effects of Hydroclimatic Variability on the Spatial Dynamics of Ponds (Simenti, Kountadala and Oudassi) of the Gambia River Basin in the Niokolo Koba National Park (Senegal)","authors":"C. Faye, Boubacar Solly, B. Sané, A. Cissé","doi":"10.18488/journal.10.2019.82.69.86","DOIUrl":"https://doi.org/10.18488/journal.10.2019.82.69.86","url":null,"abstract":"","PeriodicalId":281124,"journal":{"name":"International Journal of Geography and Geology","volume":"41 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113936853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2019-07-09DOI: 10.18488/journal.10.2019.82.58.68
Peter P. Umeh, Kelechi Friday Nkwocha, Samuel Oji Iheukwumere
Household wastes have become one of the greatest menaces in the world over, and the situation in developing countries such as Nigeria has become pathetic. The goal of this paper is to examine the nature of household solid waste generation, collection and methods of disposal in Jalingo, Taraba State, Nigeria. The data for this study was collected through primary and secondary sources. The Primary data sources include; field work, questionnaire and personal observation. The secondary sources of data were obtained from the ministry of Environment Jalingo, for a period of ten (10) years (2000-2013). A set of 200 carefully coded questionnaires were distributed, this was done to elicit responses from respondents. Analysis of variance (ANOVA) technique was employed in the examination of the statistical significance of the variation among the selected area of study. From our results, 56.5% of respondents are female while 43.5% of respondents are male. The study revealed that a large proportion (47%) of Jalingo residents dump their wastes at refuse disposal points in their neighborhoods, 35% dump their wastes in any available open land while 5 and 8% dump their wastes in streams and drainages respectively. The study concluded by noting that household waste is not properly managed in jalingo and therefore recommends that policy makers are required to identify and distinguish between the day time and official population in Jalingo and use the statistics as a basis for planning.
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