A split-step particle swarm optimization algorithm in river stage forecasting

Author name used in this publication: K. W. Chau2007-2008 > Academic research: refereed > Publication in refereed journalAccepted ManuscriptPublishe

An electronic irrigation system using IoT and neural networks

One of the approaches that fall under the alternative application of water on earth or soil is electronic irrigation. It is aware of the need to irrigate crops, restore the vegetation of difficult soil in arid areas, and because of dry spells, as our state has experienced in recent years. Other issues, such as increasing plant growth while lowering the value of agriculture, necessitate installing an irrigation system that cuts back effort, reduces farm and field employees, and minimizes monetary matters within the construction of agricultural comes is crucial. Soil wetness measure is incredibly tough; thus the economic maintaining of its target levels. The answer to this drawback is an automatic irrigation system. This analysis proposed an electronic irrigation system that reduces users' effort to plant care. The system kernel is the self-learning Kohonen Neural Network, which depends on the reading of the detector of soil wetness, plant type, and forecast data. The soil wetness detector indicates the soil wetness level. Also, the system is mechanically started once the wetness level is not up to the extent necessary for the plant's growth. When the system reaches the soil wetness level, it is mechanically stopped for a defined period of morning and evening. As a soil wetness level differs from one plant kind to a different, 3 plant varieties area unit used during this analysis. Beginning the system littered with the weather data, is saving time and effort for the employees

Methodological review of multicriteria optimization techniques: aplications in water resources

Multi-criteria decision analysis (MCDA) is an umbrella approach that has been applied to a wide range of natural resource management situations. This report has two purposes. First, it aims to provide an overview of advancedmulticriteriaapproaches, methods and tools. The review seeks to layout the nature of the models, their inherent strengths and limitations. Analysis of their applicability in supporting real-life decision-making processes is provided with relation to requirements imposed by organizationally decentralized and economically specific spatial and temporal frameworks. Models are categorized based on different classification schemes and are reviewed by describing their general characteristics, approaches, and fundamental properties. A necessity of careful structuring of decision problems is discussed regarding planning, staging and control aspects within broader agricultural context, and in water management in particular. A special emphasis is given to the importance of manipulating decision elements by means ofhierarchingand clustering. The review goes beyond traditionalMCDAtechniques; it describes new modelling approaches. The second purpose is to describe newMCDAparadigms aimed at addressing the inherent complexity of managing water ecosystems, particularly with respect to multiple criteria integrated with biophysical models,multistakeholders, and lack of information. Comments about, and critical analysis of, the limitations of traditional models are made to point out the need for, and propose a call to, a new way of thinking aboutMCDAas they are applied to water and natural resources management planning. These new perspectives do not undermine the value of traditional methods; rather they point to a shift in emphasis from methods for problem solving to methods for problem structuring. Literature review show successfully integrations of watershed management optimization models to efficiently screen a broad range of technical, economic, and policy management options within a watershed system framework and select the optimal combination of management strategies and associated water allocations for designing a sustainable watershed management plan at least cost. Papers show applications in watershed management model that integrates both natural and human elements of a watershed system including the management of ground and surface water sources, water treatment and distribution systems, human demands,wastewatertreatment and collection systems, water reuse facilities,nonpotablewater distribution infrastructure, aquifer storage and recharge facilities, storm water, and land use

Multi-criteria decision making in civil engineering. Part II – applications

The first part of the paper shortly presented developments of multi-criteria decision making (MCDM) methods and general data about their use in civil engineering, i.e. distribution by years, countries, authors and journals (Zavadskas et al. 2015). The current part of the paper focuses on MCDM application areas and domains. Web of Science Category “Engineering Civil” in Thomson Reuters Web of Science Core Collection academic data base is searched for a topic of MCDM. Only articles and review document types are selected for a detailed survey. They are grouped by Research Areas as presented in Web of Science data base. The most numerous research areas as Construction Building Technology, Transportation, Water Resources and Engineering (other topics) are analysed in detail. Research domains and solved problems are described as well as applied MCDM methods are highlighted. A total of 114 articles are reviewed, showing a wide possibilities of applying MCDM methods for civil engineering problems

Dealing with water conflicts: a comprehensive review of mcdm approaches to manage freshwater ecosystem services

This paper presents a comprehensive review of the application of Multiple-Criteria Decision-Making (MCDM) approaches exclusively to water-related freshwater ecosystem services. MCDM analysis has been useful in solving conflicts and it works well in this framework, given the serious conflicts historically associated with water use and the protection of freshwater ecosystems around the world. In this study, we present a review of 150 papers that proposed the use of MCDM-based methods for the social, economic, or ecological planning and management of water ecosystem services over the period 2000–2020. The analysis accounts for six elements: ecosystem service type, method, participation, biogeographical realm, waterbody type, and problem to solve. A Chi-square test was used to identify dependence between these elements. Studies involving the participation of stakeholder groups adopted an integrated approach to analysing sustainable water management, considering provisioning, regulating, and cultural services. However, such studies have been in decline since 2015, in favour of non-participatory studies that were strictly focused on ecological and provisioning issues. Although this reflects greater concern for the health of freshwater ecosystems, it is a long way removed from the essence of ecosystem services, which entails an integrated approach to the interrelationships between hydrology, landscapes, ecology, and humans.The authors thanks the UNESCO UNED-URJC Chair in Water and Peace institutional coverage to the development of this study.info:eu-repo/semantics/publishedVersio

Pengembangan Model Jaringan Syaraf Tiruan untuk Menduga Emisi Gas Metana dari Padi Sawah

Budidaya padi sawah dengan sistem irigasi tergenang merupakan sumber emisi gas metana (CH4) yang menyebabkan peningkatan pemanasan global. Pada umumnya, pengukuran gas metana dilakukan secara tidak kontinu dengan melakukan sampling dan analisis di lab menggunakan gas chromatography yang cukup mahal. Makalah ini menyajikan model jaringan syaraf tiruan (JST) untuk memprediksi gas metana yang diemisikan dari padi sawah berdasarkan data parameter lingkungan biofisik yang mudah diukur seperti kelembaban tanah, suhu tanah, dan daya hantar listrik (DHL) tanah. Untuk melakukan validasi model, percobaan dilakukan di dua tempat berbeda yaitu di Kanagawa dan Bogor. Perlakuan difokuskan pada pemberian air yang berbeda dengan menggunakan prinsip budidaya system of rice intensification (SRI). Model JST yang dikembangkan menggunakan algoritma back propagation dengan layer masukan terdiri atas 3 node: kelembaban tanah, suhu tanah, dan DHL tanah, sedangkan gas metana dijadikan sebagai keluaran. Dari hasil pembelajaran model JST didapatkan korelasi antara gas metana hasil pengukuran dan model cukup tinggi dengan nilai R2 sebesar 0.93.Kata kunci: emisi gas rumah kaca, gas metana, jaringan syaraf tiruan, lingkungan biofisik, padi sawah