Geosfera Indonesia最新文献

{"title":"Surface Groundwater Pollution Dynamics Over 2015-2020 in the Salt Drying Pond of Pademawu Subdistrict, Madura, Indonesia","authors":"W. A. Gemilang, U. J. Wisha, Mas Agus Mardyanto","doi":"10.19184/geosi.v7i1.28898","DOIUrl":"https://doi.org/10.19184/geosi.v7i1.28898","url":null,"abstract":"Pamekasan coastal area is the center of salt production concentrated in the Pademawu subdistrict with the ponds area of 740.96 ha. The sufficiently close distance of salt ponds to settlement areas allows several issues, such as shallow groundwater salinization. This study aimed to determine the salt pond’s degradation over five years (2015-2020) and its influence on the salinization issue in Pademawu. We compare groundwater quality parameters (conductivity, TDS, the depth of shallow surface groundwater, and salinity) surveyed in 2015 and 2020, correlated  to salt pond area alterations. Over five years of measurement, it was found that conductivity declined, reaching 2779.94 µS/cm. Based on TDS deterioration, groundwater transformed from brackish to freshwater in 2020. By contrast, the depth of shallow groundwater-surface increased by almost one meter. The freshwater area also increased by 22% over five years based on conductivity classification. Groundwater quality dynamics are related to the alteration of the salt pond area. On the other hand, the significant increase in rainfall intensity, which is not beneficial for salt agriculture, results in the salt pond area deterioration, thereby declining surface groundwater salinity in Pademawu due to the less interaction between Cl and groundwater within aquifers. Although the groundwater pollution  induced by seawater intrusion and salinization declined  in 2020, re-organizing the distance between salt ponds and the settlement area in Pademawu is crucial to minimize further groundwater pollution.  \u0000 Keywords : Dynamics; pollution; groundwater; salt agriculture; Pademawu \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44395846","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":"Spatio-Temporal Variability Analysis of Rainfall in Kumadugu-Yobe River Basin, Nigeria","authors":"A. Jajere, Ajiya Bulus Sawa, Usman Ado Kibon, B. U. Muhammed, M. Babagana-Kyari","doi":"10.19184/geosi.v7i1.24302","DOIUrl":"https://doi.org/10.19184/geosi.v7i1.24302","url":null,"abstract":"Large-scale climatic variability is seriously affecting rainfall and temperature distribution pattern in Sudano-Sahelian parts of Lake Chad Basin. The Kumadugu-gana and Yobe Rivers that drain the south-western part of the Lake Chad Basin now flow for six months only in a year instead of nine, and this has affected the entire ecosystem of the basin. This study examines the spatio-temporal variability of Kumagu-Yobe river basin rainfall. The study used monthly rainfall records for 1981-2017 from five different weather stations that spread across the up-and-downstream parts of the basin. To accomplish the objective of the study descriptive and inferential statistics were used in analyzing the rainfall attributes and temporal distribution pattern for each of the stations during the study period. Linear regression model was used in analyzing the stations rainfall temporal variability trend. The findings of the study revealed a large scale spatio-temporal variability in the distribution of the rainfall attributes during the study period. Generally, the basin recorded increasing trend of rainfall within the study period. Annual increasing trends of 1.1mm, 3.1mm, 17.6mm and 17.2mm were observed at Potiskum, Nguru, Bauchi and Kano stations respectively. Thus, Jos records insignificant decreasing trend of -0.2mm annually. Specifically, a variability of less than 1% was also observed at Jos and Potiskum stations which is statistically insignificant. A variability of 19%, 28% and 44% was observed at Nguru, Kano, Jos, and Bauchi respectively. Overall, throughout the study periods the basin recorded increasing trend of rainfall that is characterised with large scale fluctuations particularly at the upstream section of the basin.  However,  desertification and upstream water abstraction may have reduced any noticeable increase in stream downstream \u0000Keywords : River Yobe, Kumadugu-Yobe Basin, Rainfall, Spatio-Temporal variability \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41751315","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":"Impact of Geographic Conditions on Sirri Marriage Phenomenon in Situbondo District","authors":"Singgih Susilo, Budijanto Budijanto, I. Deffinika, N. F. Istiawati","doi":"10.19184/geosi.v7i1.28082","DOIUrl":"https://doi.org/10.19184/geosi.v7i1.28082","url":null,"abstract":"This study aims to determine the impact of the geographical conditions of an area on the phenomenon of sirri marriage through a qualitative study. Data analysis was carried out inductively from the results of observations, in-depth interviews and FGDs. The results of the study indicate that the phenomenon of unregistered marriage occurs in Sumber Malang, Situbondo, East Java as a result of the geographical conditions of the area. The topographical conditions of the area in the form of mountainous areas with an altitude of 500-1,250 meters above sea level, very steep with a slope of 45%, rocky and dry soils make the Sumber Malang area difficult to develop economically. This is because agricultural cultivation is difficult to develop. Furthermore, the accessibility of areas that are difficult to reach because they are far inland, narrow roads, no public transportation, far from the center of economic activity have caused people in this area to choose to stay in their environment. Topography and regional accessibility have an impact on adolescent marriage behavior in the Sumber Malang community. Adolescents and parents view unregistered marriage as something that is done to avoid sin, the certainty of a relationship, economic motives (because the cost of marriage is considered expensive by the community) and as a result of the remote location of the area; because the teenager only has a circle of friends in Sumbermalang. There are two patterns of sirri marriage that occur, namely teenagers will marry sirri and live together and teenagers will marry sirri then stay with their parents and still continue their education. The implication of this research is to provide an illustration that geographical space can affect the pattern of marriage that occurs in society. Based on this, the relevant government can provide adequate access to education at the research sites. \u0000 Keywords : Sirri's Marriage; geographical condition; topography; accessibility \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48985587","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":"Performance of Soil Quality: Indicator-Based GIS Analysis of Jamuna-Dhaleshwari and Surma-Kushiyara Floodplain Regions, Bangladesh","authors":"Tanbi Tanaya Sarker, S.Kausar Begum, Md. Shohel Khan, M. Salam, Shehan Tawsif","doi":"10.19184/geosi.v7i1.30234","DOIUrl":"https://doi.org/10.19184/geosi.v7i1.30234","url":null,"abstract":"Bangladesh is an agriculture based economic country formed by sediment deposition from upstream rivers. This riparian country covered with fertile soil that supports agricultural diversification. The study aimed to compare current soil quality of Jamuna-dhaleshwari (Manikganj) and Surma-kushiyara (Sylhet) floodplain physiographic regions to forecast about agricultural productivity. Soil quality was assessed through physical (soil texture and moisture), and chemical (pH, electrical conductivity (EC), salinity, soil nutrients (N, P, K), and organic matter content) indicators. A total of 36 soil samples in three different depths (0-15cm, 15-50cm, 50-100cm) from 12 sites were collected from Manikganj and Sylhet Districts. The average particle size and moisture content ratios of Manikganj: Sylhet were gravels (7.88:5.8), very coarse sand (6.85:8.53), coarse sand (7.45:13.2), medium sand (7.35:14), fine sand (6.12:16.4), very fine sand (24.3:19.9), silt (39.56:20.57), and clay (29.3:32.81), followed by, pH (7.61:6.31), and EC (0.24:0.18), respectively. The result revealed that the soil was bit alkaline for Manikganj, compared to range from alkaline to acidic in Sylhet and non-saline for both areas that was suitable for agriculture. The average concentration of nitrogen (N), phosphorous (P), potassium (K) nutrients in Manikganj and Sylhet Districts were 0.14%, 3.73 meq/100g, 0.07 µg/g; 0.16%, 3.11 meq/100g, 0.08 µg/g and organic matter were 3.65% and 4.7%, respectively. The results of nutrients in both areas indicated that nutrients were very poor but soil organic matter content was sufficient for agricultural activities. The study concluded that soil texture, pH, salinity and organic matter content in both areas were suitable for agricultural purposes, but a significant declined was found in soil moisture and nutrients quality. Finally, it was recommended that soils of Manikganj were more sustainable for agricultural activities. \u0000Keywords : Soil quality; soil texture; organic matter; spatial distribution \u0000  \u0000Copyright (c) 2022 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43897777","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":"Assessment of Coral Reef Life-Form Classification Scheme using Multiresolution Images on Parang Island, Indonesia","authors":"W. Lazuardi, P. Wicaksono","doi":"10.19184/geosi.v6i3.27592","DOIUrl":"https://doi.org/10.19184/geosi.v6i3.27592","url":null,"abstract":"Spatial information on the varying composition of coral reefs is beneficial for the management and preservation of natural resources in coastal areas. Its availability is inseparable from environmental management goals; however, it can also be used as a means of supporting tourism activities and predicting the emergence of certain living species. A satellite image is one of the effective and efficient data sources that provide spatial information on coral reef variations. This study aimed to evaluate the classification scheme of coral reef life-form using images with different spatial resolutions on Parang Island, Karimunjawa Islands, Central Java. These images were from PlanetScope (3m), PlanetScope resampling (6m), and Sentinel-2A MSI (10m), whose spatial resolutions functioned as the base for building the 3m, 6m, and 10m classification schemes producing 12, 11, and 9 classes, respectively. As for the classification method, it integrated both object-based and pixel-based approaches. The results showed that the highest overall accuracy (60%) was obtained using Sentinel-2A MSI image (10m), followed by PlanetScope (3m) with 48% accuracy, and PlanetScope resampling (6m) with 40% accuracy. This finding indicates that multiresolution images can be used to produce complex coral reef life-form maps with different levels of information details. \u0000Keywords: Coral reef; Life-form; Planetscope; Spatial resolution; Classification scheme \u0000  \u0000Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47430814","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":"Development of Creative Handicrafts Industrial Zones in Rajapolah District, Tasikmalaya Regency: Spatial Recommendation for Village Areas","authors":"A. Djatmiko, D. Syarifudin, Zulphiniar Priyandoko, M. Lisanti, Tyara Kusuma Diena","doi":"10.19184/geosi.v6i3.27679","DOIUrl":"https://doi.org/10.19184/geosi.v6i3.27679","url":null,"abstract":"The creative craft industry in Rajapolah District as the main driver of the regional economy in supporting facilities that still concentrated in one particular area. There have been limited studies concerned on  spatial functions in creative spaces. This article addresses the criteria for functions and facilities for the development of creative industrial areas and their application in spatial recommendation for village areas. This research used a quantitative method using instruments on statistical data. Data analysis was divided into three stages namely identification, determining the criteria, and determining spatial functions. The study used the form of production data includes raw materials, labor, product size, product diversity, as well as the distribution of production houses, marketing facilities and education and training. The results showed that the development of creative industrial zones can be identified on criteria functions in the provision of raw materials, production, research and development, and marketing. Some villages have fulfilled the criteria for the function of creative spaces, which are relatively scattered in craft production houses close to the center of village activities. Besides that, it is also relatively far away, however supported by adequate road access. Creative promotion centers in the form of markets, outlets and shops are mostly concentrated on the main road network. Meanwhile, creative education centers in the form of multi-purpose building are relatively concentrated in some villages. Articles contribute to the field of creative industry science which is practically used as a consideration for the government in preparing detailed urban masterplans. \u0000Keywords: Creative industry; Handicrafts; Spatial; Development zone \u0000  \u0000Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42295645","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":"Assessment of Flood Hazard Mapping Based on Analytical Hierarchy Process (AHP) and GIS: Application in Kencong District, Jember Regency, Indonesia","authors":"Muhammad Asyroful Mujib, B. Apriyanto, F. A. Kurnianto, F. Ikhsan, E. Nurdin, E. I. Pangastuti, S. Astutik","doi":"10.19184/geosi.v6i3.21668","DOIUrl":"https://doi.org/10.19184/geosi.v6i3.21668","url":null,"abstract":"Flood is one of the most frequent hydrometeorological disasters which leads in economic losses. The first step in flood disaster mitigation efforts is mapping vulnerable areas. Kencong District frequently affected by the annual flooding event. This study aims to assess flood hazard mapping by integrating the AHP method and Geographic Information System. This study used a descriptive quantitative approach through the correlation matrix of the AHP model for each physical environmental factor. These factors include slope, altitude, distance from the river, soil type, Topographic Wetness Index (TWI), and Curvature. Furthermore, with the Geographic Information System (GIS), the weighted overlay stage was carried out to obtain the results of flood-prone areas. Based on the AHP analysis, the most significant factors in determining flood-prone areas were the distance from rivers, slopes, and TWI. The results of flood-prone areas mapping were divided into five classes: from deficient 0.02%, low 4.26%, medium 37.11%, high 51.89%, and very high 6.72%. Validation of GIS mapping results with data in the field has an AUC value of 84%, which indicates that the prediction of the AHP-GIS model is perfect in flood-prone areas mapping in the Kencong District. The integration of AHP method and Geographic Information System in flood hazard assessment were able to produce a model to evaluate the spatial distribution of flood-prone areas. \u0000Keywords : Flood Hazard Mapping; Multi-criteria decision analysis; AHP Model; GIS; Jember \u0000  \u0000Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47336934","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":"Land Cover Changes Based on Cellular Automata for Land Surface Temperature in Semarang Regency","authors":"F. Hanafi, D. P. Rahmadewi, F. Setiawan","doi":"10.19184/geosi.v6i3.23471","DOIUrl":"https://doi.org/10.19184/geosi.v6i3.23471","url":null,"abstract":"Land cover changes based on cellular automata for surface temperature in Semarang Regency has increased significantly due to the continuous rise in its population. Therefore, this study aims to identify, analyze and predict multitemporal land cover changes and surface temperature distribution in 2028. Data on the land cover map were obtained from Landsat 7 and 8 based on supervised classification, while Land Surface Temperature (LST) was calculated from its thermal bands. The collected data were analyzed for accuracy through observation, while Cellular Automata - Markov Chain was used to predict the associated changes in 2028. The result showed that there are 4 land cover maps with 5-year intervals from 2003 to 2018 at an accuracy of more than 85%. Furthermore, the existing land covers were dominated by forest with decreasing trend, while the built-up area continuously increased. The existing Land surface temperature range from 20.6°C to 36.6°C, at an average of 28.2°C and a yearly increase of 0.07°C. The temperature changes are positively correlated with the occurrence of land conversion. Land cover predictions for 2028 show similar forest dominance, with a 23,4% built-up area at a surface temperature of 28.9°C. \u0000Keywords: Land cover change; Cellular Automata-Markov Chain; Land Surface Temperature \u0000Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000  \u0000  \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41333513","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":"Assessing the Effectiveness of Geography-based Online Learning During the Covid-19 Pandemic in Higher Education","authors":"A. W. Abdi, S. Ridha, M. Yunus, P. A. Kamil, Intan Safiah, A. N. Gadeng","doi":"10.19184/geosi.v6i3.25811","DOIUrl":"https://doi.org/10.19184/geosi.v6i3.25811","url":null,"abstract":"The Covid-19 pandemic almost stalled the face-to-face learning method in all institutions across the globe. Consequently, for learning to continue uninterrupted, there was a need to change teaching mode to online using social media and other platforms. This research aimed to examine the effectiveness of online learning during the Covid-19 pandemic and the challenges geography students faced in implementing this type of study. The research used a descriptive qualitative approach involving questionnaires designed to determine the implementation of online learning and the challenges encountered. The questions were structured through synthesizing various components of learning. Random selection was used to select 305 participants from various higher education institutions in the Aceh Region, Indonesia. The results indicated that online learning during the Covid-19 pandemic was effectively implemented. However, some challenges were encountered, including students who could not fully participate since they could not log in to the provided learning platforms. Furthermore, students from rural areas had poor internet connectivity besides the inability to buy internet quota. There were many instances of reported power supply failures, and this hindered online learning. Overall, learning geography during the pandemic was effective, though it had a fair share of challenges. The research also identified the need to develop an online learning model, teaching material, and multimedia in supporting geography-based online learning.     \u0000Keywords: Assessing; Effectiveness; Geography-based online learning; Covid-19; Higher education \u0000Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000  \u0000  \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43050426","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":"Sediment Flow Characteristics in The Upper Slope of Volcanic Landscapes With Dryland Agriculture","authors":"L. Hadini, J. Sartohadi, M. Setiawan, D. Mardiatno, Nugroho Christanto","doi":"10.19184/geosi.v6i3.24480","DOIUrl":"https://doi.org/10.19184/geosi.v6i3.24480","url":null,"abstract":"Increasing population densities and food demands are major factors contributing to the widespread use of agricultural drylands in upper volcanic slope areas. This phenomenon poses a high risk of severe erosional events that are environmentally hazardous. Therefore, this study aims to analyze the sediment flow characteristics, based on the relationship between sediment flow and water level as well as the sediment discharge rate and soil loss. Field surveys were conducted to determine the soil measurement, slope morphology and dryland cover characteristics. The sediment flow was evaluated at the gully outlet, where 169 suspension data pairs for the modeling and 130 suspension data pairs for the validation, as well as the bed load, water level, rainfall and water flow characteristics were obtained. Tables and figures were subsequently used to represent the measurement data and analysis results for the correlation between the flow rate effects, sediment and soil loss on the water surface. The results showed that the sediment flow in volcanic landscape slopes with dryland agriculture were possibly characterized by the polynomial relationship, using the suspension discharge model, Qs=0.0322Q2+6.0625Q–1.2658. Under this condition, the average rate of soil loss in the form of sediment load and erosion rate of the catchment area occurred at 953.53 and ​​1,657.94 ton/ha/yr, respectively. Furthermore, the sediment sources in the soil loss were believed to originate from 83% of the suspended sediments and 17% bed loads. \u0000Keywords: Discharge; Dryland; Landscape; Sediment; Volcano \u0000Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember \u0000  \u0000 This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License","PeriodicalId":33276,"journal":{"name":"Geosfera Indonesia","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43349380","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}