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Spatial Analysis of Land Use and Land Utilization Based on Suitability Spatial Planning on Food Estate Planning Site in Kapuas Regency, Central Kalimantan 基于中加里曼丹卡普阿斯县食品产业规划点适宜性空间规划的土地利用和土地使用空间分析
Pub Date : 2024-07-23 DOI: 10.52562/injoes.2024.834
Budianto Budianto, Dewi Susiloningtyas, Muhammad Dimyati
The limited space on land increases the importance of spatial planning that is transparent, accountable, and effective, which involves multi-stakeholders in its conception. Such planning is intended to create a spatial arrangement that supports security, productivity, and sustainability. In an attempt to secure food supply in the future, the government of Indonesia initiated a Food Estate program in 2020. This study analyzes land use and land utilization in regions planned for a food estate project in Kapuas Regency, Central Kalimantan, and evaluates their suitability with the designated spatial planning. The method used land surveying and spatial analysis to answer the research objective. The result explained that 85,492.58 Ha (49.20%) of land use is suitable for spatial planning. The area of 88,786.43 Ha (51.09%) of land utilization is suitable for its spatial planning. The survey was carried out at the early stage of spatial planning implementation throughout spatial development is ongoing. Development results that are in accordance with the spatial planning have not yet been seen, this happens because the determination of the spatial planning and the spatial suitability analysis are too close together. The food estate program has not been included in the Kapuas Regency spatial planning. The results of the research concluded that there was a large mismatch gap, it was necessary to revise the spatial planning by including the food estate program in the regional spatial planning.
土地空间有限,因此,透明、负责和有效的空间规划就显得尤为重要。这种规划旨在建立一种支持安全、生产力和可持续性的空间安排。为了确保未来的粮食供应,印尼政府于 2020 年启动了粮食地产计划。本研究分析了加里曼丹中部卡普阿斯县粮食庄园项目规划区域的土地利用和土地使用情况,并评估了其与指定空间规划的适宜性。研究采用了土地测量和空间分析的方法来实现研究目标。结果表明,85,492.58 公顷(49.20%)的土地用途适合空间规划。88,786.43 公顷(51.09%)的土地利用适合其空间规划。本次调查是在空间规划实施的早期阶段进行的,整个空间开发过程都在进行中。由于空间规划的确定与空间适宜性分析的时间过于接近,因此尚未看到符合空间规划的开发成果。卡普阿斯地区的空间规划中还没有包括食品庄园计划。研究结果表明,存在很大的不匹配差距,因此有必要修订空间规划,将食品庄园计划纳入地区空间规划。
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引用次数: 0
Engineering Evaluation of Laterite Derived from Sedimentary Rock for Use as Subgrade and Sub-Base Materials 从沉积岩中提取的红土用作路基和基层材料的工程评估
Pub Date : 2024-07-23 DOI: 10.52562/injoes.2024.833
O. Ajayi, C. I. Konwea, Oluseyi O. Adesanya
Geotechnical assessment of lateritic soils obtained from along the Ojota and Shagamu ends of the Lagos–Ibadan expressway was conducted to evaluate their suitability for use as sub-grade and sub-base materials. Laboratory tests, including moisture content, specific gravity, particle size distribution, fabric/plasticity, compaction, and California Bearing Ratio (CBR), were performed on eight (8) soil samples following British Standards (BS) 1377 methods for soil testing. The lateritic soils were classified as clayey sand, silty clay, and silty to clayey sand. They exhibited moderate plasticity and semi-pervious characteristics, suggesting suitability for use as sub-grade materials. Samples 3, 5, 7, and 8 were identified as more suitable for road construction materials, while Samples 1, 2, 4, and 6 showed susceptibility to seasonal volume changes due to high clay content. These samples would require minor soil stabilization to mitigate the effects of their active clay contents. Adequate drainage systems were recommended to prevent water accumulation, soil volume changes, loss of load-bearing capacity, and potential material failure beneath road pavements. The geotechnical properties of the lateritic soils from the tropical area of Ojota–Shagamu differed significantly from those of other lateritic soils found in southwestern Nigeria.
对从拉各斯-伊巴丹高速公路奥约塔和沙加穆端沿线获得的红土进行了岩土工程评估,以评价其是否适合用作基层和路基材料。按照英国标准 (BS) 1377 的土壤测试方法,对八(8)份土壤样本进行了实验室测试,包括含水量、比重、粒度分布、结构/塑性、压实度和加州承载比 (CBR)。红土土壤分为粘质砂土、淤泥质粘土和淤泥质至粘质砂土。它们具有中等可塑性和半透水性,表明适合用作基层材料。样本 3、5、7 和 8 被认定为更适合用作筑路材料,而样本 1、2、4 和 6 则因粘土含量高而易受季节性体积变化的影响。这些样本需要进行小规模的土壤稳定处理,以减轻活性粘土含量的影响。建议采用适当的排水系统,以防止积水、土壤体积变化、承载能力下降以及路面下可能出现的材料损坏。奥约塔-沙加穆热带地区红土的岩土特性与尼日利亚西南部发现的其他红土有很大不同。
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引用次数: 0
Heavy Metal Pollution Status in The Main Surface Waters of The N'djili River Basin in Kinshasa, Democratic Republic of Congo: A Review with Application and Evaluation of Pollution Indices Evaluation 刚果民主共和国金沙萨恩吉利河流域主要地表水体的重金属污染状况:污染指数评估的应用与评价综述
Pub Date : 2024-05-08 DOI: 10.52562/injoes.2024.965
Daniel Nzomba wa Nzomba
The aim of this study was to assess heavy metal pollution in the surface waters of the N'djili river watershed, as well as to determine the main sources of this pollution and their impact on water quality. Five sampling sites were selected in the watershed, representing a variety of urban and industrial influences. In these samples, trace metals such as lead (Pb), cadmium (Cd) and arsenic (As) were measured by atomic absorption spectrometry. The respective mean concentrations of lead (Pb), cadmium (Cd) and arsenic (As) in the surface waters of the N'djili basin are 0.066 mg/L, 0.006 mg/L and 0.310 mg/L. The mean value of the degree of contamination (Dc) in the surface waters of the N'djili basin is greater than 3, indicating heavy contamination of these waters (Lukaya river, Matete river, N'djili river, Ntshuenge river, Ngwele river). The average values of for the trace metal pollution index (HPI) are below the threshold value of 100, so overall, these waters are not very polluted. Nevertheless, particularly high concentrations were observed in the waters of the Matete River, with values exceeding 100, indicating severe localized pollution. Correlation analysis between trace metals and HPI indicates that lead and cadmium are the main contributors to surface water toxicity in the N'djili basin. These results highlight the urgent need to develop targeted strategies to reduce pollution in order to preserve public health and aquatic ecosystems.
这项研究的目的是评估恩吉利河流域地表水中的重金属污染,并确定这种污染的主要来源及其对水质的影响。在该流域选择了五个采样点,代表了各种城市和工业影响。在这些样本中,铅(Pb)、镉(Cd)和砷(As)等痕量金属被原子吸收光谱法测定。恩吉利盆地地表水中铅(Pb)、镉(Cd)和砷(As)的平均浓度分别为 0.066 毫克/升、0.006 毫克/升和 0.310 毫克/升。恩吉利流域地表水污染程度(Dc)的平均值大于 3,表明这些水域(卢卡亚河、马泰特河、恩吉利河、恩滕盖河、恩格韦勒河)受到严重污染。痕量金属污染指数 (HPI) 的平均值低于 100 的临界值,因此总体而言,这些水域的污染程度并不严重。不过,在 Matete 河水中观察到的浓度特别高,数值超过 100,表明局部污染严重。痕量金属和 HPI 之间的相关分析表明,铅和镉是造成恩吉利盆地地表水毒性的主要因素。这些结果突出表明,迫切需要制定有针对性的减少污染战略,以保护公众健康和水生生态系统。
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引用次数: 0
Intensity-Duration-Frequency Curves for Flood Prevention in the Republic of Benin 贝宁共和国防洪的强度-持续时间-频率曲线
Pub Date : 2024-03-09 DOI: 10.52562/injoes.2024.929
André Attogouinon, A. E. Lawin, Basile A. Akpovi, Jean-François Deliege
In this research, hourly rainfall recorded at 4 synoptic stations in the Republic of Benin over the period from 2006 to 2019 was used to produce intensity-duration-frequency (IDF) curves.  The aim is to determine daily rainfall heights of rare frequency and to establish intensity-duration curves for various recurrence periods. To achieve this, a frequency analysis of rainfall data was carried out using the Gumbel law more commonly used in the sub-region. IDF curves were constructed on the basis of extreme rainfall events in short observation series. R software was used to process the data. The results show a drop in the maximum annual intensity of short-duration rainfall at all stations. The lack of data sets for extreme rainfall values for short durations and sufficiently long reference periods underlines the importance of this study. It should be noted, however, that these results are not sufficient to establish a relationship between the gradual variations observed and the phenomenon of climate change.
在这项研究中,贝宁共和国 4 个同步站在 2006 年至 2019 年期间记录的每小时降雨量被用来制作强度-持续时间-频率(IDF)曲线。 目的是确定罕见频率的日降雨高度,并建立不同重现期的强度-持续时间曲线。为此,使用次区域更常用的 Gumbel 法对降雨数据进行了频率分析。根据短期观测序列中的极端降雨事件构建了 IDF 曲线。使用 R 软件处理数据。结果表明,所有站点的短时降雨最大年强度都有所下降。由于缺乏短时极端降雨值的数据集和足够长的参考期,这就凸显了这项研究的重要性。不过,应当指出的是,这些结果还不足以确定所观察到的逐渐变化与气候变化现象之间的关系。
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引用次数: 0
Soil Quality Indicators under Different Smallholder Managed Cropping and Landuse Practices in Abuja, Nigeria 尼日利亚阿布贾不同小农耕作和土地利用方式下的土壤质量指标
Pub Date : 2023-12-29 DOI: 10.52562/injoes.2023.770
S. Sani, Sani Abubakar Mashi, C. D. Chup
There are limited reports about the impacts of smallholder-managed cropping and land-use practices (CLUPs) on soil quality, especially in developing countries. This study investigates the impact of six different Cropping Land Use Practices (CLUPs) on soil quality parameters in Abuja, Nigeria, focusing on sesame mono-cropping (SM), guinea corn mono-cropping (GCM), yam mono-cropping (YM), maize + yam mixed cropping (MYM), maize mono-cropping (MM), and natural forest (NF). The objectives are to determine Soil Organic Carbon (SOC), Total Nitrogen (TN), and pH values in the six CLUPs and assess differences under various CLUPs and soil depths. The study conducted in the University of Abuja Permanent Site, covers 11,000 hectares and analyzes soil samples from three replicate plots per CLUP, considering topsoil (0-15cm) and subsoil (20-30cm). The results indicate slightly acidic soils with low SOC and TN contents. Significant differences in SOC, TN, and C/N ratio are observed among cropping systems, with mixed cropping (MYM) promoting higher SOC. The C/N ratio is consistently low across CLUPs, indicating accelerated decomposition. While intra-plot soil heterogeneity is low, significant declines in soil quality indicators are noted under cropping systems compared to the natural forest. The study recommends site-specific, sustainable land management practices tailored to each cropping system. Encouraging organic matter additions, such as using animal and farmyard manure, is proposed to enhance soil fertility and reverse degradation trends. The findings contribute to understanding how diverse cropping practices impact soil quality, providing valuable insights for sustainable land management in the Abuja region.
关于小农户管理的种植和土地利用方式(CLUPs)对土壤质量的影响的报道很有限,尤其是在发展中国家。本研究调查了尼日利亚阿布贾六种不同的种植和土地利用方式(CLUPs)对土壤质量参数的影响,重点是芝麻单作(SM)、豚鼠玉米单作(GCM)、山药单作(YM)、玉米+山药混合种植(MYM)、玉米单作(MM)和天然林(NF)。目的是测定六种 CLUP 中的土壤有机碳 (SOC)、全氮 (TN) 和 pH 值,并评估不同 CLUP 和土壤深度下的差异。这项研究在阿布贾大学永久校址进行,占地 11,000 公顷,分析了每个 CLUP 三个重复地块的土壤样本,考虑了表土(0-15 厘米)和底土(20-30 厘米)。结果表明,土壤呈微酸性,SOC 和 TN 含量较低。不同种植系统的 SOC、TN 和 C/N 比值存在显著差异,混合种植(MYM)可提高 SOC。所有 CLUP 的 C/N 比值都很低,表明分解速度加快。虽然地块内土壤异质性较低,但与天然林相比,种植系统下的土壤质量指标显著下降。研究建议针对每个种植系统,采取因地制宜的可持续土地管理措施。建议鼓励添加有机质,如使用动物粪便和农家肥,以提高土壤肥力并扭转退化趋势。研究结果有助于了解不同的耕作方法如何影响土壤质量,为阿布贾地区的可持续土地管理提供了宝贵的见解。
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引用次数: 0
The Impact of Preprocessing Approaches on Neural Network Performance: A Case Study on Evaporation in Adana, a Mediterranean Climate 预处理方法对神经网络性能的影响:地中海气候阿达纳蒸发量案例研究
Pub Date : 2023-12-29 DOI: 10.52562/injoes.2023.821
O. Katipoğlu, M. Peki̇n, Sercan Akil
The application of artificial intelligence (AI) technologies is quickly expanding in water management. Additionally, the artificial neural network methodology has an advantage over traditional statistical approaches in that it does not need assumptions about the distribution of data and variables. These methods can be used if there is a large enough data collection and criteria relevant to the nature of the problem. Preprocessing data before utilizing it improves the performance of the AI model. Evaporation matters in water management, agriculture processes and soil science. It is critical to ensure proper estimation of evaporation losses for effective water resource planning and management particularly in drought-prone areas such as Adana. Artificial intelligence approaches can be applied successfully in evaporation calculation. In this research, we used the Standard scaler, power transformer, robust scaler quantile transformer (Uniform) and quantile transformer (Normal), and min-max scaler preprocessing techniques to preprocess the multilayer perceptron neural network (MLPNN). We also trained the MLPNN using unprocessed data and compared it to the results of the preprocessed model. In the setup of the model, daily temperature, pressure, wind, sunny hours, and humidity parameters covering the years 2018-2021 were presented as input to the MLPNN model. Consequently, we pinpoint that all preprocessing approaches produce better outcomes than unscaled. Although all models produced statistically high accuracy predictions according to statistical criteria, the MLPNN model established without transformation (test phase: r2: 0.93, NSE : 0.927, SMAPE: 10.77, RMSE: 1.2, MAE: 0.9) exhibited the lowest accuracy. The evaporation prediction model that was developed using the MLPNN-based standard scalar optimization algorithm exhibited the highest level of accuracy  (test phase: r2: 0.978, NSE: 0.977, SMAPE: 5.93, RMSE: 0.68, MAE: 0.48). Power Transformer (test phase: r2: 0.978, NSE: 0.977, SMAPE: 5.81, RMSE: 0.67, MAE: 0.49) showed second-degree promising results. It can be concluded from these results that the estimation of meteorological variables requires the scaling and presentation of data in a uniform structure. Therefore, improving efficiency and productivity in water management or agricultural processes can be enhanced by making more accurate evaporation estimates.
人工智能(AI)技术在水资源管理领域的应用正在迅速扩大。此外,与传统的统计方法相比,人工神经网络方法的优势在于不需要假设数据和变量的分布。如果有足够多的数据收集和与问题性质相关的标准,就可以使用这些方法。在利用数据之前对其进行预处理,可以提高人工智能模型的性能。蒸发在水资源管理、农业生产过程和土壤科学中非常重要。确保正确估算蒸发损失对于有效的水资源规划和管理至关重要,尤其是在阿达纳等干旱多发地区。人工智能方法可成功应用于蒸发计算。在这项研究中,我们使用了标准标度器、功率变换器、鲁棒性标度器量化变换器(均匀)和量化变换器(正常)以及最小-最大标度器预处理技术,对多层感知器神经网络(MLPNN)进行预处理。我们还使用未经处理的数据对 MLPNN 进行了训练,并将其与预处理模型的结果进行了比较。在模型的设置中,2018-2021 年的日气温、气压、风力、日照时数和湿度参数被作为 MLPNN 模型的输入。因此,我们确定所有预处理方法都比未缩放方法产生更好的结果。虽然根据统计标准,所有模型都产生了较高的预测精度,但未进行转换的 MLPNN 模型(测试阶段:r2:0.93,NSE:0.927,SMAPE:10.77,RMSE:1.2,MAE:0.9)的精度最低。使用基于 MLPNN 的标准标量优化算法开发的蒸发预测模型准确度最高(测试阶段:r2:0.978,NSE:0.977,SMAPE:5.93,RMSE:0.68,MAE:0.48)。电力变压器(测试阶段:r2: 0.978,NSE: 0.977,SMAPE: 5.81,RMSE: 0.67,MAE: 0.49)显示出二级良好结果。从这些结果中可以得出结论,气象变量的估算需要以统一的结构对数据进行缩放和展示。因此,通过更准确地估算蒸发量,可以提高水资源管理或农业生产过程的效率和生产力。
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引用次数: 0
Unveiling the Complexity of Earth's Dynamic Ecosystems: Harnessing the Power of Remote Sensing for Environmental Analysis 揭示地球动态生态系统的复杂性:利用遥感技术进行环境分析
Pub Date : 2023-12-21 DOI: 10.52562/injoes.2023.827
Ahmad Basir Ahmadi, Mustafa Mohammadi, Zabihullah Nadry, Abdulrazaq Nazari, Sohaila Arghawan
Remote sensing has become an indispensable tool within geographic studies, fundamentally reshaping our understanding of the Earth's dynamic processes and surface. This comprehensive review article explores the diverse and multifaceted applications of remote sensing across various geographic disciplines. It commences by providing a comprehensive overview of the evolution and underpinning technology of remote sensing. Subsequently, the paper proceeds to delve into the methodological intricacies commonly employed in remote sensing studies, followed by an in-depth and systematic review of relevant literature. This meticulous review elucidates key findings and pioneering advancements and highlights the prevalent challenges experienced in diverse geographic domains. The empirical outcomes of this review underscore the profound importance of remote sensing as an invaluable tool for mapping vegetation areas. Furthermore, the findings gleaned from this extensive inquiry underscore the considerable contribution of remote sensing in enhancing our understanding of urban studies. This manifests through its capacity to furnish detailed insights into urban morphology, land use patterns, and the dynamic urban growth processes. The research outcomes vividly illustrate that water resources management derives substantial benefits from the intrinsic capabilities of remote sensing. Its capacity to capture and provide crucial water quality parameters and aquatic ecosystems empowers water resource professionals with a wealth of indispensable data. Moreover, the findings of this comprehensive review concretely establish the irreplaceable role of remote sensing in assessing natural hazards, spanning from landslides to volcanic activity. The empirical evidence presented is a testament to the importance of integrating remote sensing data with Geographic Information Systems (GIS). This interaction has revolutionized spatial data analysis and visualization, underscoring the transformative potential of combining these two technological domains.
遥感已成为地理研究中不可或缺的工具,从根本上重塑了我们对地球动态过程和地表的认识。这篇综合评论文章探讨了遥感技术在各个地理学科中的多样化和多层面应用。文章首先全面概述了遥感技术的演变和基础技术。随后,文章深入探讨了遥感研究中通常采用的复杂方法,并对相关文献进行了深入系统的综述。这篇细致的综述阐明了主要研究成果和开创性进展,并强调了在不同地理领域所遇到的普遍挑战。本综述的实证成果强调了遥感作为绘制植被区域图的宝贵工具的深远重要性。此外,这次广泛调查的结果还强调了遥感在提高我们对城市研究的认识方面做出的巨大贡献。这表现在遥感技术能够提供有关城市形态、土地利用模式和动态城市增长过程的详细见解。研究成果生动地表明,水资源管理从遥感的内在能力中获得了巨大的好处。遥感技术能够捕捉和提供重要的水质参数和水生生态系统,为水资源专业人员提供了大量不可或缺的数据。此外,本综述的研究结果还具体证实了遥感技术在评估从山体滑坡到火山活动等各种自然灾害方面所发挥的不可替代的作用。所提供的经验证据证明了将遥感数据与地理信息系统(GIS)相结合的重要性。这种互动彻底改变了空间数据分析和可视化,凸显了这两个技术领域相结合的变革潜力。
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引用次数: 0
Threats to Mangrove Ecosystems and Their Impact on Coastal Biodiversity: A Study on Mangrove Management in Langsa City 红树林生态系统的威胁及其对沿海生物多样性的影响——Langsa市红树林管理研究
Pub Date : 2023-08-02 DOI: 10.52562/injoes.2023.627
M. T. Rahmadi, E. Yuniastuti, A. Suciani, M. Harefa, A. Persada, Eling Tuhono
The coastal area is a complex and interconnected system of diverse ecosystems, with mangrove ecosystems standing out as one of the most productive. However, global mangrove ecosystems, including those in Langsa City, face multiple threats from human activities and natural hazards. This study focuses on examining the various threats impacting the mangrove ecosystem in Langsa City, including tourism and urban development, climate change, regional development, human activities, and sedimentation. Mangrove ecosystems have specific requirements for survival, making these threats particularly concerning. Through field observations and analysis, this study explores the impact of these threats on the mangrove ecosystem's well-being and its correlation with the overall coastal biodiversity. Additionally, the research delves into the management practices implemented by the local government to preserve the mangrove ecosystems. The findings reveal the severity of threats to the mangrove ecosystem's viability and its implications for coastal biodiversity sustainability. The study also sheds light on the local government's mangrove management system, providing valuable insights into current conservation efforts. By understanding the threats faced by the mangrove ecosystem and the management practices in place, this research contributes to the preservation and sustainable use of this vital coastal resource.
沿海地区是一个由多种生态系统组成的复杂而相互关联的系统,红树林生态系统是最具生产力的生态系统之一。然而,全球红树林生态系统,包括Langsa市的红树林,面临着来自人类活动和自然灾害的多重威胁。本研究的重点是研究影响兰沙市红树林生态系统的各种威胁,包括旅游和城市发展、气候变化、区域发展、人类活动和沉积。红树林生态系统对生存有特殊要求,因此这些威胁尤其令人担忧。通过实地观察和分析,本研究探讨了这些威胁对红树林生态系统健康的影响及其与整体沿海生物多样性的相关性。此外,研究还深入探讨了当地政府为保护红树林生态系统而实施的管理措施。研究结果揭示了红树林生态系统生存能力面临的严重威胁及其对沿海生物多样性可持续性的影响。该研究还揭示了当地政府的红树林管理系统,为当前的保护工作提供了有价值的见解。通过了解红树林生态系统面临的威胁和现有的管理措施,本研究有助于保护和可持续利用这一重要的沿海资源。
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引用次数: 0
Utilizing Google Earth Data to Assess Spatial-Temporal Land Use Changes around Jatibarang Reservoir, Semarang City 利用Google Earth数据评估三宝垄市Jatibarang水库周边土地利用的时空变化
Pub Date : 2023-06-30 DOI: 10.52562/injoes.2023.612
Ayu Handayani, A. Wibowo
This study aims to assess the spatial-temporal land use changes around Jatibarang Reservoir in Semarang City, Indonesia City from 2012 to 2022, utilizing Google Earth data. The Jatibarang Reservoir and its surrounding areas have been subject to rapid urbanization and land use transformations in recent years, leading to significant environmental and socio-economic implications. The classification accuracy of seven land use categories was validated, demonstrating a high level of accuracy. The analysis reveals a dominance of agricultural land use, with notable shifts observed in forest cover, settlements, and reservoir areas. Population growth, economic development, and policy interventions are identified as the main drivers behind these land use changes. The spatial analysis using Nearest Neighbor Analysis (NNA) indicates a scattered distribution pattern of land use changes, primarily concentrated in the western part of the reservoir area. These land use changes have significant social, economic, and environmental implications, impacting the sustainability of the reservoir and surrounding areas. The study highlights the need for improved data quality, rigorous validation methods, and spatial modeling approaches in future research. By understanding the dynamics of land use changes and their implications, policymakers and stakeholders can make informed decisions for sustainable land management and environmental conservation in similar contexts.
利用Google Earth数据,对2012 - 2022年印尼三宝垄市Jatibarang水库周边土地利用时空变化进行了研究。近年来,Jatibarang水库及其周边地区受到快速城市化和土地利用转变的影响,导致重大的环境和社会经济影响。对七个土地利用类别的分类精度进行了验证,显示出较高的准确性。分析显示,农业用地占主导地位,森林覆盖、定居点和库区发生了显著变化。人口增长、经济发展和政策干预被认为是这些土地利用变化背后的主要驱动因素。基于最近邻分析(NNA)的空间分析表明,库区土地利用变化呈分散分布格局,主要集中在库区西部。这些土地利用变化具有重大的社会、经济和环境影响,影响水库及其周边地区的可持续性。该研究强调了在未来的研究中需要改进数据质量、严格的验证方法和空间建模方法。通过了解土地利用变化的动态及其影响,决策者和利益相关者可以在类似背景下为可持续土地管理和环境保护做出明智的决策。
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引用次数: 0
Parameters Modeling and Probing of Highway Structural Deterioration: Case study of F-209 Segment of Ondo - Ore Pavement, Southwestern Nigeria 公路结构劣化参数建模与探讨——以尼日利亚西南部Ondo - Ore路面F-209段为例
Pub Date : 2023-06-28 DOI: 10.52562/injoes.2023.580
O. Falowo
The construction of highway route is influenced by geology, geotechnical, topography, and geomorphology of the terrain. However, for pavement that failed structurally, a critical investigation is required to ascertain the cause(s) of its failure, so that such study can assist during the rehabilitation/re-construction phase. Based on this, the incessant failed Ondo – Ore was studied using integrated methods. Electrical resistivity involving four vertical electrical sounding, ten dynamic cone penetration test, three coring by trial pits at 1.0 to 3.0 m offset from the edge of the highway at different chain-age, and laboratory geotechnical-geochemical analysis adopting standard procedures. The VES characterized the geological sequence within the highway alignment to be topsoil, subsoil, weathered layer, and basement rock. The topsoil/subsoil and the weathered layer on which the highway is founded is sandy clay and clay with resistivity less than 200 ohm-m. The depths to basement ranged from 33.5 to 45.1 m. The trial pits recordings are consistent with the results of the VES, geotechnical, and geochemical analysis, distinctly distinguishing the upper 1 m into clayey soil (sandy clay, clayey hardpan) laterite, and silt-clay-sand mixture. The engineering competence of the topsoil/subsoil on which the road is founded is poor, although is inactive SC-SM, A-7-5/A-7-6 lateritic soil type (silica-sesquioxide ratio of 1.67). The clay mineralogy is within the illite – montmorillonite group. The SNG, SN, and SNP contributions of the soil as subgrade, subbase, and base material are very low (<1.0). The regression models of all parameters correlated positively, although weak for RD and DCPI, in-situ CBR and MR, RD and in-situ CBR; while strong for soaked CBR and in-situ CBR, ER and MR. Consequently, based on the GI and CBR values, the expected average thickness of the highway should range between 191 mm (good segment) to 445 mm (for weak segment) (avg. 312 mm) which is far thicker than 274 mm measured along the highway alignment during reconnaissance survey. Therefore, it can be concluded that the failure of the highway is as a result of low soaked CBR/in-situ CBR values with low strength coefficient; and low design thickness across the highway. In addition, lack of drainage at the shoulders of the highway is also causative factor. Hence, the need for effective design of roads (to specification) and maintenance strategy was therefore advocated.
公路路线的建设受地形的地质、岩土、地形、地貌等因素的影响。然而,对于在结构上出现故障的路面,则需要进行严格的调查,以确定其故障的原因,以便在修复/重建阶段提供帮助。在此基础上,采用综合方法对连续失效的Ondo - Ore进行了研究。电阻率包括4次垂直电测深、10次动力锥贯入试验、3次不同链龄距公路边缘1.0 ~ 3.0 m的试坑取心,以及采用标准程序的实验室岩土地球化学分析。高速公路线形内的地质序列为表土-底土-风化层-基岩。公路所处的表土/底土和风化层为砂质粘土和电阻率小于200 ω -m的粘土。至基底的深度为33.5 ~ 45.1 m。试验坑记录与地球物理、岩土和地球化学分析结果一致,将上部1 m明显区分为粘土土(砂质粘土、粘土硬盘)红土和粉砂-粘土-砂混合土。道路所处的表土/底土虽然是不活跃的SC-SM、A-7-5/A-7-6红土类型(二氧化硅倍半氧化物比为1.67),但工程能力较差。粘土矿学属于伊利石-蒙脱石组。土壤作为路基、底基和基材的SNG、SN和SNP贡献非常低(<1.0)。所有参数的回归模型均呈正相关,但RD与DCPI、原位CBR与MR、RD与原位CBR的回归模型较弱;因此,基于GI值和CBR值,预计公路的平均厚度应在191 mm(好段)至445 mm(弱段)之间(平均厚度为312 mm),远厚于勘测时沿公路线形测量的274 mm。因此,可以得出结论:高速公路的破坏是由于低浸渍CBR/原位CBR值和低强度系数造成的;而且横穿公路的设计厚度很低。此外,高速公路肩部排水不足也是原因之一。因此,需要有效的道路设计(规范)和维护策略。
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Indonesian Journal of Earth Sciences
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