Pub Date : 2023-01-01DOI: 10.4236/ijg.2023.1410048
Maiconn Vinicius de Moraes, Luana Albertani Pampuch, Cassiano Antonio Bortolozo, Tatiana Sussel Gonçalves Mendes, Marcio Roberto Magalhães de Andrade, Daniel Metodiev, Tristan Pryer
Rainfall accumulation thresholds are crucial for issuing landslide warnings by identifying when soil saturation from rain could potentially trigger a landslide. Two essential types of thresholds are considered: environmental and operational. The environmental threshold indicates the minimum rainfall level required to potentially initiate a landslide. Conversely, the operational threshold is set lower to enable agencies to issue alerts before reaching environmental thresholds. Establishing these thresholds improves the accuracy of landslide predictions in terms of location and timing. This study introduces an innovative approach for determining these thresholds. Our approach employs cluster analysis and historical landslide data from the Metropolitan Region of Recife, Pernambuco State, Brazil. We applied our defined values to a significant landslide event in 2022, validating their robustness as the foundation for the operational threshold used by Cemaden, Brazil’s National Center for Monitoring and Early Warning of Natural Disasters.
{"title":"Thresholds of Instability: Precipitation, Landslides, and Early Warning Systems in Brazil","authors":"Maiconn Vinicius de Moraes, Luana Albertani Pampuch, Cassiano Antonio Bortolozo, Tatiana Sussel Gonçalves Mendes, Marcio Roberto Magalhães de Andrade, Daniel Metodiev, Tristan Pryer","doi":"10.4236/ijg.2023.1410048","DOIUrl":"https://doi.org/10.4236/ijg.2023.1410048","url":null,"abstract":"Rainfall accumulation thresholds are crucial for issuing landslide warnings by identifying when soil saturation from rain could potentially trigger a landslide. Two essential types of thresholds are considered: environmental and operational. The environmental threshold indicates the minimum rainfall level required to potentially initiate a landslide. Conversely, the operational threshold is set lower to enable agencies to issue alerts before reaching environmental thresholds. Establishing these thresholds improves the accuracy of landslide predictions in terms of location and timing. This study introduces an innovative approach for determining these thresholds. Our approach employs cluster analysis and historical landslide data from the Metropolitan Region of Recife, Pernambuco State, Brazil. We applied our defined values to a significant landslide event in 2022, validating their robustness as the foundation for the operational threshold used by Cemaden, Brazil’s National Center for Monitoring and Early Warning of Natural Disasters.","PeriodicalId":58825,"journal":{"name":"地球科学国际期刊(英文)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136257593","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}
{"title":"Application of a Multi-Criteria Approach for the Assessment of Groundwater Potential in the Basement Zone: A Case of Tamou (South West Niger)","authors":"Saidou Garba Inaytoulaye, Abdel Kader Hassane Saley, Issoufou Sandao, I. Garba","doi":"10.4236/ijg.2023.141001","DOIUrl":"https://doi.org/10.4236/ijg.2023.141001","url":null,"abstract":"","PeriodicalId":58825,"journal":{"name":"地球科学国际期刊(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70692079","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}
Quality Assurance and Quality Control (QA/QC) is a critical component of all pXRF geochemistry processes. A properly constructed pXRF QA/QC programme identifies possible instrumental errors and provides a means of securing fit for purpose data from the pXRF programme. pXRF QA/QC programmes involve daily contamination, precision, and accuracy checks to ensure the generation of fit for purpose data. In the exploration field or mine-site, pXRF is capable of producing extremely valuable data that is fit for purpose if calibrated properly. However, it should not be used as a replacement for acquiring data from an accredited laboratory using established analytical techniques that produce high quality data. Contamination is the checking of the cleanliness of the analyser window or the presence of dust in the measuring environment. At Polymetals, using Olympus Vanta C-Series pXRF analyser with silver anode, contamination is assessed by measuring an instrumental blank (SiO 2 ), to identify any foreign matter on the analyser window. Assuming that the window film is new, and the fused silica disc is dust free, only Si should be detected. If any other significant element is detected, the film is replaced, and the test is re-run. Accuracy is a measure of how close the measured value is to the true value and is assessed by measuring the abundance of selected elements contained within a Certified Reference Material (CRM) or the NIST check standard sample supplied with the pXRF analyser
{"title":"Contamination, Precision and Accuracy of pXRF Geochemistry: Case Study-Polymetals Resources Ltd., Mansala Gold Project, Siguiri Basin, Northeast Guinea","authors":"Nana Yaw Asante","doi":"10.4236/ijg.2023.148036","DOIUrl":"https://doi.org/10.4236/ijg.2023.148036","url":null,"abstract":"Quality Assurance and Quality Control (QA/QC) is a critical component of all pXRF geochemistry processes. A properly constructed pXRF QA/QC programme identifies possible instrumental errors and provides a means of securing fit for purpose data from the pXRF programme. pXRF QA/QC programmes involve daily contamination, precision, and accuracy checks to ensure the generation of fit for purpose data. In the exploration field or mine-site, pXRF is capable of producing extremely valuable data that is fit for purpose if calibrated properly. However, it should not be used as a replacement for acquiring data from an accredited laboratory using established analytical techniques that produce high quality data. Contamination is the checking of the cleanliness of the analyser window or the presence of dust in the measuring environment. At Polymetals, using Olympus Vanta C-Series pXRF analyser with silver anode, contamination is assessed by measuring an instrumental blank (SiO 2 ), to identify any foreign matter on the analyser window. Assuming that the window film is new, and the fused silica disc is dust free, only Si should be detected. If any other significant element is detected, the film is replaced, and the test is re-run. Accuracy is a measure of how close the measured value is to the true value and is assessed by measuring the abundance of selected elements contained within a Certified Reference Material (CRM) or the NIST check standard sample supplied with the pXRF analyser","PeriodicalId":58825,"journal":{"name":"地球科学国际期刊(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70693906","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}
Baatarchuluun Enkhchuluun, Bat-Ochir Batgerel, Cao Ping
This study demonstrates a practical cycle time analysis of dump truck haulage system of “Ukhaa Khudag” open-pit coal mine located in Umnugobi Province, Mongolia. It examines the possibility of minimizing the cycle time of the haulage system as well as factors impacting the speed of the dump truck. The current study divides the open pit mine road for the dump trucks into five sections which are bench road, ramp, surface road, dump road uphill, and dump road. Meanwhile, it investigates the influence of the length, the grade, and the rolling resistance of the road section on the cycle time. The data is analyzed using mathematical regression methods via Microsoft Excel program. For each of the five road sections, we compare the statistical calculations of three regression models: linear, quadratic and exponential; thus, a total of thirty regression models are obtained in this research. Accordingly, the cycle time for each road section is predicted by the most accountable model. The loaded and empty direction of the movement is measured and calculated for each road section, and it appears that the difference between the calculated mean value and the actual cycle time of the models is 0.82 seconds with a relative error of 2.51 percent.
{"title":"Cycle Time Analysis of Open Pit Mining Dump Trucks","authors":"Baatarchuluun Enkhchuluun, Bat-Ochir Batgerel, Cao Ping","doi":"10.4236/ijg.2023.148037","DOIUrl":"https://doi.org/10.4236/ijg.2023.148037","url":null,"abstract":"This study demonstrates a practical cycle time analysis of dump truck haulage system of “Ukhaa Khudag” open-pit coal mine located in Umnugobi Province, Mongolia. It examines the possibility of minimizing the cycle time of the haulage system as well as factors impacting the speed of the dump truck. The current study divides the open pit mine road for the dump trucks into five sections which are bench road, ramp, surface road, dump road uphill, and dump road. Meanwhile, it investigates the influence of the length, the grade, and the rolling resistance of the road section on the cycle time. The data is analyzed using mathematical regression methods via Microsoft Excel program. For each of the five road sections, we compare the statistical calculations of three regression models: linear, quadratic and exponential; thus, a total of thirty regression models are obtained in this research. Accordingly, the cycle time for each road section is predicted by the most accountable model. The loaded and empty direction of the movement is measured and calculated for each road section, and it appears that the difference between the calculated mean value and the actual cycle time of the models is 0.82 seconds with a relative error of 2.51 percent.","PeriodicalId":58825,"journal":{"name":"地球科学国际期刊(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70694280","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}
Y. Sawadogo, M. Kaboré, Somaïla Koala, Arouna Mandé, J. Zerbo
{"title":"Total Electron Content Diurnal and Seasonal Variations and Response to Solar Events at Koudougou Station in Burkina Faso","authors":"Y. Sawadogo, M. Kaboré, Somaïla Koala, Arouna Mandé, J. Zerbo","doi":"10.4236/ijg.2023.149044","DOIUrl":"https://doi.org/10.4236/ijg.2023.149044","url":null,"abstract":"","PeriodicalId":58825,"journal":{"name":"地球科学国际期刊(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70694911","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 work of the paper focused on the post impact of oil spill contamination of groundwater in Bassambiri Nembe Bayelsa State. Groundwater samples were sampled from hand dug wells from eight stations including the control point for physico-chemical investigation using sterilized glass bottles. Sampling was carried out upstream and downstream on the Santa Barbara River across the stations and the results are as follows surface water pH ranged 6.90 - 7.50, electrical conductivity 19739.41 μS/cm - 28920.64 μS/cm and Chloride 6019.63 - 9274.82 mg/l. The Total Dissolved Solids (TDS) varied from 10472.72 mg/l - 16538.19 mg/l dissolved oxygen (DO) 6.21 mg/l - 7.371 mg/l while the mean biochemical oxygen demand (BOD) 0.09 ± 0.52 mg/l - 2.4 ± 0.81 mg/l, temperature 28.04℃ - 31.79℃ while total alkalinity is 43.95 mg/L -73.87 mg/L. Calcium ion ranged 375.68 mg/l - 536.72 mg/l, Magnesium ion 88.35 - 243.24 mg/l and Potassium ion 41.27 - 121.17 mg/l. The results of the study showed that the pH, salinity, alkalinity, total suspended solids (TSS), Chlorides, Phosphates, and Nitrates are within permissible limits of the WHO, however the electrical conductivity, TDS, turbidity, DO, BOD, and hardness exceeded WHO permissible limits for drinking water. Total Petroleum Hydrocarbon (TPH) and Heavy metals had low concentrations in the Santa Barbara River across the study area suggesting that surface water is not polluted. However, the surfactants used initially to contain the oil pollution were effective based on this research.
{"title":"Post Impact of Hydrocarbon Spillage on Physicochemical Parameters and Heavy Metals in the Santa Barbara River, Nembe, Bayelsa State","authors":"Amararu Onyema Isukul, Godwin Jeremiah Udom, Richmond Uwanemesor Ideozu","doi":"10.4236/ijg.2023.1410050","DOIUrl":"https://doi.org/10.4236/ijg.2023.1410050","url":null,"abstract":"The work of the paper focused on the post impact of oil spill contamination of groundwater in Bassambiri Nembe Bayelsa State. Groundwater samples were sampled from hand dug wells from eight stations including the control point for physico-chemical investigation using sterilized glass bottles. Sampling was carried out upstream and downstream on the Santa Barbara River across the stations and the results are as follows surface water pH ranged 6.90 - 7.50, electrical conductivity 19739.41 μS/cm - 28920.64 μS/cm and Chloride 6019.63 - 9274.82 mg/l. The Total Dissolved Solids (TDS) varied from 10472.72 mg/l - 16538.19 mg/l dissolved oxygen (DO) 6.21 mg/l - 7.371 mg/l while the mean biochemical oxygen demand (BOD) 0.09 ± 0.52 mg/l - 2.4 ± 0.81 mg/l, temperature 28.04℃ - 31.79℃ while total alkalinity is 43.95 mg/L -73.87 mg/L. Calcium ion ranged 375.68 mg/l - 536.72 mg/l, Magnesium ion 88.35 - 243.24 mg/l and Potassium ion 41.27 - 121.17 mg/l. The results of the study showed that the pH, salinity, alkalinity, total suspended solids (TSS), Chlorides, Phosphates, and Nitrates are within permissible limits of the WHO, however the electrical conductivity, TDS, turbidity, DO, BOD, and hardness exceeded WHO permissible limits for drinking water. Total Petroleum Hydrocarbon (TPH) and Heavy metals had low concentrations in the Santa Barbara River across the study area suggesting that surface water is not polluted. However, the surfactants used initially to contain the oil pollution were effective based on this research.","PeriodicalId":58825,"journal":{"name":"地球科学国际期刊(英文)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135107493","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 : 2023-01-01DOI: 10.4236/ijg.2023.1410053
Mark Boitt, Patricia Khayasi, Catherine Wambua
{"title":"Assessment of Groundwater Potential and Prediction of the Potential Trend up to 2042 Using GIS-Based Model and Remote Sensing Techniques for Kiambu County","authors":"Mark Boitt, Patricia Khayasi, Catherine Wambua","doi":"10.4236/ijg.2023.1410053","DOIUrl":"https://doi.org/10.4236/ijg.2023.1410053","url":null,"abstract":"","PeriodicalId":58825,"journal":{"name":"地球科学国际期刊(英文)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135317245","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}
{"title":"Numerical Simulation of High Concentration Polymer Flooding in Oilfield Development","authors":"Huan Wang","doi":"10.4236/ijg.2023.144018","DOIUrl":"https://doi.org/10.4236/ijg.2023.144018","url":null,"abstract":"","PeriodicalId":58825,"journal":{"name":"地球科学国际期刊(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70692660","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}
M. Ndiaye, Makhaly Bâ, Teophile Kiendrebeogo, Linda E. Gaffo Foudjo
{"title":"Relative Dielectric Permittivity Variations during Compaction as a Mean of Compaction Quality Control: Case Study on Laterite Samples from Senegal","authors":"M. Ndiaye, Makhaly Bâ, Teophile Kiendrebeogo, Linda E. Gaffo Foudjo","doi":"10.4236/ijg.2023.142012","DOIUrl":"https://doi.org/10.4236/ijg.2023.142012","url":null,"abstract":"","PeriodicalId":58825,"journal":{"name":"地球科学国际期刊(英文)","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70692994","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}
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