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DEEP LEARNING-BASED RECONSTRUCTION OF SPATIOTEMPORALLY FUSED SATELLITE IMAGES FOR SMART AGRICULTURE APPLICATIONS IN A HETEROGENEOUS AGRICULTURAL REGION 基于深度学习的异质农业区智能农业应用的时空融合卫星图像重建
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-249-2020
A. Htitiou, A. Boudhar, Y. Lebrini, T. Benabdelouahab
Abstract. Remote sensing offers spatially explicit and temporally continuous observational data of various land surface parameters such as vegetation index, land surface temperature, soil moisture, leaf area index, and evapotranspiration, which can be widely leveraged for various applications at different scales and contexts. One of the main applications is agricultural monitoring, where a smart system based on precision agriculture requires a set of satellite images with a high resolution, both in time and space to capture the phenological stages and fine spatial details, especially in landscapes with various spatial heterogeneity and temporal variation. These requirements sometimes cannot be provided by a single sensor due to the trade-off required between spatial and temporal resolutions and/or the influence of cloud cover. The data availability of new generation multispectral sensors of Landsat-8 (L8) and Sentinel-2 (S2) satellites offers unprecedented options for such applications. Given this, the current study aims to display how the synergistic use of these optical sensors can efficiently support such an application. Herein, this study proposes a deep learning spatiotemporal data fusion method to fill the need for predicting a dense time series of vegetation index with fine spatial resolution. The results show that the developed method creates more accurate fused NDVI time-series data that were able to derive phenological stages and characteristics in single-crop fields, while keeps more spatial details in such a heterogeneous landscape.
摘要遥感提供了各种地表参数(如植被指数、地表温度、土壤湿度、叶面积指数和蒸散)的空间明确和时间连续观测数据,可广泛用于不同尺度和背景下的各种应用。其中一个主要应用是农业监测,基于精准农业的智能系统需要一组高分辨率的卫星图像,在时间和空间上捕捉物候阶段和精细的空间细节,特别是在具有各种空间异质性和时间变化的景观中。由于需要在空间和时间分辨率和/或云量的影响之间进行权衡,单个传感器有时无法提供这些要求。Landsat-8 (L8)和Sentinel-2 (S2)卫星的新一代多光谱传感器的数据可用性为此类应用提供了前所未有的选择。鉴于此,目前的研究旨在展示这些光学传感器的协同使用如何有效地支持这样的应用。为此,本文提出了一种深度学习时空数据融合方法,以满足对植被指数密集时间序列进行精细空间分辨率预测的需求。结果表明,该方法可以获得更精确的融合NDVI时间序列数据,能够推导出单一作物田的物候阶段和特征,同时在这种异质性景观中保留更多的空间细节。
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引用次数: 3
SYSTEM DYNAMICS APPROACH FOR EVALUATING EXISTING AND FUTURE WATER ALLOCATION PLANNING AMONG CONFLICTING USERS 评价冲突用户之间现有和未来水资源分配规划的系统动力学方法
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-45-2020
O. Amoo, M.D.V. Nakin, A. Abayomi, H. Ojugbele, A. W. Salami
Abstract. Water shortages are a chronic and severe problem in South Africa. Allocation of this limited water resources, environmental quality, and policies for sustainable water use are issues of increasing concern that require accurate and timely information to evolve strategies for dynamic natural resources management. Specifically, this paper is aimed to assist the planning, restoring and to rationally allocate the water resources in any river basin in resolving the current water stresses in many parts of South Africa, by using integrated knowledge from simulation and integrated river basin management approach. The developed system dynamic (SD) allocation system was used to investigates the extent to which the framework is ‘sustainable’ in the medium and long terms in evaluating existing and future water allocation among conflicting users at Mkomazi River Basin (MRB), KwaZulu-Natal Province, South Africa The invented SD framework confirms agricultural water use as the highest demand when compared with other users. The optimal sustainability performance index (0.25) of the system at 70% dependable flow shows an integrated scenario that combines rainfall variation with improved irrigation water use efficiency as a suitable framework plan. The study uses integrated knowledge from simulation and integrated river basin management approach as a feasible method to assist the planning, restoring and to rationally allocate the water resources in any river basin with similar attributes to the study area in resolving the current water stresses in many parts of the country. Water resources managers would find these tools beneficial in understanding the complex nature of water resources allocation and in determining priorities area which required prompt attention and intervention.
摘要在南非,水资源短缺是一个长期而严重的问题。有限水资源的分配、环境质量和可持续用水政策是日益受到关注的问题,需要准确和及时的信息来制定动态自然资源管理战略。具体而言,本文旨在通过综合模拟知识和综合流域管理方法,帮助规划、恢复和合理配置任何流域的水资源,以解决目前南非许多地区的水压力。在评估南非夸祖鲁-纳塔尔省Mkomazi河流域(MRB)冲突用户之间现有和未来的水分配时,使用了发达的系统动态(SD)分配系统来调查该框架在中期和长期内“可持续”的程度。发明的SD框架证实,与其他用户相比,农业用水需求最高。在70%可靠流量下,系统的最优可持续性绩效指数(0.25)显示了一个将降雨变化与提高灌溉用水效率相结合的综合方案,这是一个合适的框架方案。本研究利用综合模拟知识和流域综合管理方法,作为一种可行的方法,在与研究区具有相似属性的任何流域中,协助水资源的规划、恢复和合理配置,以解决目前全国许多地区的水资源紧张问题。水资源管理人员会发现这些工具有助于了解水资源分配的复杂性和确定需要迅速注意和干预的优先领域。
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引用次数: 1
DECISIONAL TREE MODELS FOR LAND COVER MAPPING AND CHANGE DETECTION BASED ON PHENOLOGICAL BEHAVIORS. APPLICATION CASE: LOCALIZATION OF NON-FULLY-EXPLOITED AGRICULTURAL SURFACES IN THE EASTERN PART OF THE HAOUZ PLAIN IN THE SEMI-ARID CENTRAL MOROCCO 基于物候行为的土地覆盖制图和变化检测决策树模型。应用案例:摩洛哥中部半干旱地区haouz平原东部未充分开发的农业表面的本地化
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-365-2020
B. Sebbar, A. Moumni, A. Lahrouni
Abstract. Great effort has been recently employed for the development of a modern and competitive agriculture in Morocco, growth in the agricultural sector is determined largely through the realization of thousands of new projects, and the support of the smallholder farmers at a national scale. Modernization of irrigation systems, and enlargement of the extent and spatial distribution of irrigated areas holds the key to increase annual productions. In this context, we established a unique procedure for monitoring the agricultural surfaces not fully exploited in terms of potential and production, in the semi-arid zone of the Haouz plain, central Morocco. We derived Normalized Difference Vegetation Index (NDVI) time series from Sentinel-2 (S2) and Landsat 8 (L8) high spatial resolution satellite images from 2016 to 2018. Seasonal phenological changes and land-cover dynamics, in addition to elevation models and landscape slopes, helped determine periods and thresholds suitable for classes separability, and establish a set of rules to be implemented in a Decision tree classifier model for a detailed land-cover mapping of the last three years. The agricultural zone was successfully separated from mountains and hills, and the derived maps of the three years yielded satisfying result with an OAthat reached above 91% for quite detailed landscape-type information. The outputs of this work hold promise to provide valuable information for planners, decision-makers and regional offices, to help smallholder farmers. Although this approach has been developed at regional-scale, it holds the potential to be adapted to larger scales, with the appropriate selection of land-cover types, and carful adjustment in the threshold values.
摘要摩洛哥最近为发展现代和有竞争力的农业作出了巨大努力,农业部门的增长主要是通过实施数千个新项目和在全国范围内支持小农来决定的。灌溉系统现代化,扩大灌区面积和空间分布是提高年产量的关键。在这方面,我们在摩洛哥中部Haouz平原的半干旱区建立了一个独特的程序,用于监测在潜力和生产方面未充分开发的农业表面。利用2016 - 2018年Sentinel-2 (S2)和Landsat 8 (L8)高空间分辨率卫星影像,导出归一化植被指数(NDVI)时间序列。季节性物候变化和土地覆盖动态,以及高程模型和景观坡度,有助于确定适合分类可分性的时期和阈值,并建立一套规则,用于在过去三年详细的土地覆盖制图的决策树分类器模型中实施。成功地将农业区与山地丘陵区分离,三年的衍生图取得了令人满意的结果,获得了相当详细的景观类型信息,oa达到91%以上。这项工作的产出有望为规划者、决策者和区域办事处提供宝贵的信息,以帮助小农。虽然这一方法是在区域范围内发展起来的,但在适当选择土地覆盖类型和仔细调整阈值的情况下,它有可能适用于更大的范围。
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引用次数: 2
NATIONAL SMART CITIES STRATEGY AND ACTION PLAN: THE TURKEY’S SMART CITIES APPROACH 国家智慧城市战略和行动计划:土耳其的智慧城市方法
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-129-2020
D. Y. Bayar, H. Guven, H. Badem, E. S. Sengor
Abstract. Nowadays, cities need sustainable approaches that take care of the future in order to meet the needs that arise with population activity. Accordingly, for making cities more livable, the necessity of ensuring efficient use of urban sources and planning urban infrastructures brings the smart city concept into the forefront. The smart city solutions are frequently applied by many local governments and stakeholders. For this reason, there is a need to support the collaboration of all relevant actors and to provide a common national strategic perspective among smart city stakeholders. In the Strategic Plan of the Ministry of Environment and Urbanization, the objectives of smart cities and national geographic information services are determined as “to make infrastructure works in order to establish smart cities, to improve the spatial management in cities with the help of technology, to share data to improve public services and to be the focus of national geographical information” and studies on these objectives have been completed. Accordingly, the “2020–2023 National Smart Cities Strategy and Action Plan” has been prepared in order to establish a national strategic view on smart cities and draw a road map under the policy ownership of the Ministry of Environment and Urbanization. By the implementation of this strategy and action plan with the vision of "Livable and Sustainable Cities that Add Value to Life", a new process of transformation and change will be provided to cities that take care of the real needs of citizens, adopting participatory governance by using resources effectively.
摘要如今,城市需要可持续的方法来照顾未来,以满足人口活动带来的需求。因此,为了使城市更宜居,确保城市资源的有效利用和规划城市基础设施的必要性使智慧城市概念成为当务之急。智慧城市解决方案经常被许多地方政府和利益相关者应用。因此,有必要支持所有相关行为体的合作,并在智慧城市利益相关者之间提供共同的国家战略视角。在《环境与城镇化部战略规划》中,将智慧城市和国家地理信息服务的目标确定为“建设智慧城市的基础设施,利用技术改善城市空间管理,共享数据,改善公共服务,成为国家地理信息的重点”,并已完成相关研究。据此,环境城市化部制定了《2020-2023年国家智慧城市战略与行动计划》,确立了智慧城市的国家战略观,并绘制了路线图。通过实施这一以“为生活增添价值的宜居和可持续城市”为愿景的战略和行动计划,将为城市提供一个新的转型和变革过程,以照顾公民的真正需求,通过有效利用资源采取参与式治理。
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引用次数: 7
PREPROCESSING ARABIC DIALECT FOR SENTIMENT MINING: STATE OF ART 用于情感挖掘的阿拉伯语方言预处理:技术现状
Pub Date : 2020-11-23 DOI: 10.5194/ISPRS-ARCHIVES-XLIV-4-W3-2020-323-2020
Zineb Nassr, N. Sael, F. Benabbou
Abstract. Sentiment Analysis concerns the analysis of ideas, emotions, evaluations, values, attitudes and feelings about products, services, companies, individuals, tasks, events, titles and their characteristics. With the increase in applications on the Internet and social networks, Sentiment Analysis has become more crucial in the field of text mining research and has since been used to explore users’ opinions on various products or topics discussed on the Internet. Developments in the fields of Natural Language Processing and Computational Linguistics have contributed positively to Sentiment Analysis studies, especially for sentiments written in non-structured or semi-structured languages. In this paper, we present a literature review on the pre-processing task on the field of sentiment analysis and an analytical and comparative study of different researches conducted in Arabic social networks. This study allowed as concluding that several works have dealt with the generation of stop words dictionary. In this context, two approaches are adopted: first, the manual one, which gives rise to a limited list, and second, the automatic, where the list of stop words is extracted from social networks based on defined rules. For stemming two, algorithms have been proposed to isolate prefixes and suffixes from words in dialects. However, few works have been interested in dialects directly without translation. The Moroccan dialect in particular is considered as the 5th dialect studied among Arabic dialects after Jordanian, Egyptian, Tunisian and Algerian dialects. Despite the significant lack in studies carried out on Arabic dialects, we were able to extract several conclusions about the difficulties and challenges encountered through this comparative study, as well as the possible ways and tracks to study in any dialects sentiment analysis pre-processing solution.
摘要情感分析涉及对产品、服务、公司、个人、任务、事件、头衔及其特征的想法、情感、评价、价值观、态度和感受的分析。随着互联网和社交网络应用的增加,情感分析在文本挖掘研究领域变得越来越重要,并已被用于探索用户对互联网上讨论的各种产品或话题的看法。自然语言处理和计算语言学领域的发展对情感分析研究做出了积极的贡献,特别是对用非结构化或半结构化语言编写的情感。在本文中,我们对情感分析领域的预处理任务进行了文献综述,并对在阿拉伯社会网络中进行的不同研究进行了分析和比较研究。本研究认为,已有多篇论著涉及停词词典的生成。在这种情况下,采用了两种方法:第一种是手动方法,它产生一个有限的列表;第二种是自动方法,其中根据定义的规则从社交网络中提取停止词列表。对于词干二,已经提出了从方言单词中分离前缀和后缀的算法。然而,很少有作品直接对方言感兴趣而不进行翻译。特别是摩洛哥方言被认为是继约旦方言、埃及方言、突尼斯方言和阿尔及利亚方言之后研究的第5种阿拉伯方言。尽管对阿拉伯语方言的研究明显缺乏,但我们能够通过比较研究得出一些关于遇到的困难和挑战的结论,以及在任何方言情感分析预处理解决方案中可能的研究方法和轨迹。
{"title":"PREPROCESSING ARABIC DIALECT FOR SENTIMENT MINING: STATE OF ART","authors":"Zineb Nassr, N. Sael, F. Benabbou","doi":"10.5194/ISPRS-ARCHIVES-XLIV-4-W3-2020-323-2020","DOIUrl":"https://doi.org/10.5194/ISPRS-ARCHIVES-XLIV-4-W3-2020-323-2020","url":null,"abstract":"Abstract. Sentiment Analysis concerns the analysis of ideas, emotions, evaluations, values, attitudes and feelings about products, services, companies, individuals, tasks, events, titles and their characteristics. With the increase in applications on the Internet and social networks, Sentiment Analysis has become more crucial in the field of text mining research and has since been used to explore users’ opinions on various products or topics discussed on the Internet. Developments in the fields of Natural Language Processing and Computational Linguistics have contributed positively to Sentiment Analysis studies, especially for sentiments written in non-structured or semi-structured languages. In this paper, we present a literature review on the pre-processing task on the field of sentiment analysis and an analytical and comparative study of different researches conducted in Arabic social networks. This study allowed as concluding that several works have dealt with the generation of stop words dictionary. In this context, two approaches are adopted: first, the manual one, which gives rise to a limited list, and second, the automatic, where the list of stop words is extracted from social networks based on defined rules. For stemming two, algorithms have been proposed to isolate prefixes and suffixes from words in dialects. However, few works have been interested in dialects directly without translation. The Moroccan dialect in particular is considered as the 5th dialect studied among Arabic dialects after Jordanian, Egyptian, Tunisian and Algerian dialects. Despite the significant lack in studies carried out on Arabic dialects, we were able to extract several conclusions about the difficulties and challenges encountered through this comparative study, as well as the possible ways and tracks to study in any dialects sentiment analysis pre-processing solution.","PeriodicalId":14757,"journal":{"name":"ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences","volume":"1 1","pages":"323-330"},"PeriodicalIF":0.0,"publicationDate":"2020-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83157290","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}
引用次数: 2
AN OPEN SOURCE MAIL SERVER MIGRATION EXPERIENCE: IREDMAIL 一个开源邮件服务器迁移体验:iredmail
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-95-2020
N. Azginoglu
Abstract. Servers are systems that set up to run for years, but it may be necessary to migrate to a new, better server when they have completed their lifetime or become inadequate. In this study, the open-source iRedMail e-mail server has been successfully migrated to another high-capacity physical server which uses an open-source CentOS operation system. Migration is a process that every step has to be very well planned. However, although planning is well done, unexpected errors may occur. For this reason, it is also essential to choose migration time. The experience gained as a result of the study is a guide for the new ones.
摘要服务器是为运行数年而设置的系统,但是当它们的生命周期结束或变得不足时,可能有必要迁移到一个新的、更好的服务器。在本研究中,开源的iRedMail电子邮件服务器已经成功迁移到另一个使用开源CentOS操作系统的大容量物理服务器上。迁移是一个过程,每一步都必须精心规划。然而,尽管计划做得很好,但可能会出现意想不到的错误。因此,选择迁移时间也很重要。从研究中获得的经验对新的研究具有指导意义。
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引用次数: 0
LAND SURVEYING STUDIES IN BUILDING CONTROL SYSTEM FOR SMART CITIES 智慧城市楼宇控制系统中的土地测量研究
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-427-2020
G. Yalcin
Abstract. “Earthquakes” may cause dangerous results for people, which can damage buildings and hurt people, and may even cause death. Turkey lays down in a highly earthquake-prone region. Earthquakes are unpredictable and uncontrollable natural events; however, the people have to find ways to reduce these damages on people. One of the ways is to build “earthquake-resistant buildings”. It is also one of the main necessities to build smart city under the focus of housing quality, quality of life. In this paper Building Control System in Turkey is presented in the frame of the legal basis in a general view. Also surveying documents related to building control system are introduced because land surveying studies are compulsory-preliminary works before building construction.
摘要“地震”可能会给人们带来危险的结果,可能会破坏建筑物,伤害人,甚至可能导致死亡。土耳其位于地震高发地区。地震是不可预测和无法控制的自然事件;然而,人们必须找到减少这些损害的方法。方法之一是建造“抗震建筑”。在关注住房品质、生活品质的前提下,建设智慧城市也是主要的必需品之一。本文对土耳其建筑控制系统的法律依据框架进行了概括性的介绍。由于土地测量研究是建筑施工前的强制性前期工作,本文还介绍了与建筑控制系统相关的测量文件。
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引用次数: 0
SECURITY STUDY OF ROUTING ATTACKS IN VEHICULAR AD-HOC NETWORKS (VANETS) 车载ad-hoc网络路由攻击的安全性研究
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-267-2020
Y. Khayati, T. Mazri
Abstract. The Vehicular Ad-hoc Network (VANET) is a fast-growing and highly motivated area of research to provide Intelligent Transport Systems (ITS) services to end-users; these services are also responsible for providing an efficient driving environment. in VANET networks, several routing protocols have been designed, but still networks are vulnerable to many threats in the presence of malicious nodes. Today, security is a major challenge in various VANET applications where a bad message can directly or indirectly affect human lives. In this paper, we examine some routing attacks such as Black hole & Wormhole attacks, as well as available solutions for such attacks in existing VANET protocols.
摘要车辆自组织网络(VANET)是一个快速发展和高度活跃的研究领域,为最终用户提供智能交通系统(ITS)服务;这些服务还负责提供高效的驾驶环境。在VANET网络中,虽然设计了多种路由协议,但在存在恶意节点的情况下,网络仍然容易受到许多威胁。如今,在各种VANET应用程序中,安全性是一个主要挑战,在这些应用程序中,不良消息可以直接或间接地影响人类的生活。在本文中,我们研究了一些路由攻击,如黑洞和虫洞攻击,以及现有VANET协议中针对此类攻击的可用解决方案。
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引用次数: 0
GEO-TAGGED IMAGE RETRIEVAL FROM MAPILLARY STREET IMAGES FOR A TARGET BUILDING 从目标建筑物的主街图像中检索地理标记图像
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-151-2020
N. Celik, E. Sümer
Abstract. This study aims to investigate the possibility to automate the image selection process for the target building from Mapillary images through a web application where the user only initiates one image of the target building as a query. Using the data provided with Mapillary API and Overpass API, all images having full or partial coverage of the target building were selected. Then the images were segmented by using a pre-trained U-Net model to discard any images having less than 20% building coverage. The experiments showed promising results yielding 0.971 and 0.887 of overall accuracy after segmentation steps for two different target buildings.
摘要本研究旨在探讨通过web应用程序从Mapillary图像中自动选择目标建筑物图像的可能性,其中用户仅启动目标建筑物的一张图像作为查询。使用Mapillary API和Overpass API提供的数据,选择所有完全或部分覆盖目标建筑物的图像。然后,使用预训练的U-Net模型对图像进行分割,去除建筑物覆盖率低于20%的图像。实验结果表明,对两种不同的目标建筑进行分割后,总体准确率分别为0.971和0.887。
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引用次数: 2
AN EFFICIENT APPROACH TO MANAGE DOMESTIC WASTEWATER IN SMART CITY 智慧城市生活污水的有效管理方法
Pub Date : 2020-11-23 DOI: 10.5194/isprs-archives-xliv-4-w3-2020-391-2020
A. Taouraout, A. Chahlaoui, D. Belghyti, I. Taha, M. Lachhab
Abstract. The adoption of an ecological sanitation system, meeting the requirements hygienic and sanitary, constitutes a feasible and technically and economically acceptable solution in the future smart city. This new sanitation concept has the advantage of solving the problems of pathogens of human waste at source, thus offering the possibility of reusing them after treatment (recycling) in order to improve the standard of living of the population and protect the environment. The aim of this study is to evaluate the efficiency of a vertical Multi-Soil-Layering system (MSL) system to treat domestic wastewater under three hydraulic loading rates: 250 L/m2/day, 350 L/m2/day and 500 L/m2/day, in Moroccan conditions. To do this, a vertical MSL system measuring 20cm × 60cm × 78cm (L × W × H) was designed to treat domestic wastewater and his performance was investigated. The results showed high removal of organic matters and nutrients under the three hydraulic loads tested; the performance averages recorded are upper than 84 % for organic matters, 83.1 ± 7.2 % for ammonium and 72.4 ± 14.1 % for orthophosphate. The quality of the treated wastewater was evaluated according to Moroccan reject limit value. Consequently, this system could be considered an effective solution to be adopted for decentralized domestic wastewater treatment in Moroccan conditions.
摘要采用符合卫生和卫生要求的生态卫生系统,是未来智慧城市中可行的、技术上和经济上可接受的解决方案。这种新的卫生概念的优点是从源头上解决了人类排泄物的病原体问题,从而提供了处理后(回收)再利用的可能性,以提高人们的生活水平和保护环境。本研究的目的是评估在摩洛哥条件下,垂直多层土壤系统(MSL)系统在三种水力负荷率下处理生活污水的效率:250 L/m2/天、350 L/m2/天和500 L/m2/天。为此,设计了一个尺寸为20cm × 60cm × 78cm(长×宽×高)的垂直MSL系统来处理生活污水,并对其性能进行了研究。结果表明:在3种水力负荷下,有机物和营养物的去除率较高;有机质、铵态氮和正磷酸盐的平均性能分别高于84%、83.1±7.2%和72.4±14.1%。根据摩洛哥废液极限值对处理后的废水进行了水质评价。因此,这一系统可被视为在摩洛哥条件下分散处理家庭废水的有效解决办法。
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引用次数: 0
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ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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