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How will climate change affect the sources of global irrigation water withdrawal?

Science Bulletin 2024年第21期69卷 3361-3364页

作者： Zhipin Ai Xin Zhao Julien Boulange Fadong Li Rashid Mahmood Qiuying Zhang Yonghui Yang Jun Xia Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 101408China Earth System Division National Institute for Environmental StudiesTsukuba 305-8506Japan United Graduate School of Agricultural Science Tokyo University of Agriculture and TechnologyTokyo 183-8509Japan Water Engineering and Management Asian Institute of TechnologyPathumthani 12120Thailand Chinese Research Academy of Environmental Sciences Beijing 100012China Center for Agricultural Resources Research Institute of Genetics and Developmental BiologyChinese Academy of SciencesShijiazhuang 050021China State Key Laboratory of Water Resources Engineering and Management Wuhan UniversityWuhan 430072China

Irrigation plays a vital role in global food production,contributing approximately 40%of the total production[1],although the contribution varies by crop type[2,3].However,irrigation water withdrawal constitutes 65%–70%of total global anthropogenic water withdrawal[4,5],making it the largest water-use sector *** irrigation water demand,sources,and availability,particularly in the context of climate change,is crucial for identifying potential threats to crop production and ensuring future global food *** studies have focused extensively on the impacts of climate change on irrigation water demand and withdrawal[6–9];however,it remains unclear how climate change will affect the sources of irrigation water withdrawal.

关键词： irrigation withdrawal sources

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Real Time Monitoring System of Drinking Water Quality Using Internet of Things 24

Real Time Monitoring System of Drinking Water Quality Using ...

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24th International Electronics Symposium, IES 2022

作者： Abidin, Zainul Maulana, Eka Nurrohman, Muhammad Yogi Wardana, Fitri Candra Warsito Universitas Brawijaya Faculty of Computer Science Department of Computer Engineering Malang Indonesia Universitas Brawijaya Faculty of Engineering Department of Electrical Engineering Malang Indonesia Universitas Brawijaya Master Program in Environmental Resources and Development Management Postgraduate School Malang Indonesia Universitas Brawijaya Faculty of Mathematics and Natural Sciences Department of Chemistry Malang Indonesia

ISBN: (数字)9781665489713

ISBN: (纸本)9781665489713

In order to reduce Polyethylene Terephthalate (PET) bottle plastic waste, Universitas Brawijaya (UB) provided reverse osmosis drinking water in some buildings. Water monitoring is needed to keep the water quality. Therefore, a water monitoring system based on Total Dissolved Solids (TDS), pH, and water flow was proposed. Since the UB buildings have good internet connection (WiFi), Internet of Things (IoT) was employed to the system to support real time monitoring. So, data of TDS, pH, and water flow can be periodically sent to cloud and displayed to a specific website. The system worked very well and the data can be summarized and used by operator as indicators of performance of the reverse osmosis machine. When water quality and performance decrease, operator must check filters membrane or water pump for further maintenance to support long life use. Although the sensors have been calibrated properly, some measurement errors occur. The measurement error percentages of TDS and pH are 0.62% and 0.94%, respectively. © 2022 IEEE.

关键词： Internet of things

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Drought propagation in an Andean basin in South America: a spatio-temporal analysis approach with monitoring indices

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Arabian Journal of Geosciences 2025年第3期18卷 1-21页

作者： Ocampo-Marulanda, Camilo Mera-Franco, Julián David Lizcano, Víctor Augusto Carvajal-Escobar, Yesid Canchala, Teresita Zorrilla-Millan, Daniel Felipe Caicedo-Bravo, Eduardo Water Resources Engineering and Soil Research Group (IREHISA) School of Natural Resources and Environmental Engineering Universidad del Valle Cali Colombia Graduate Program in Biometrics and Applied Statistics Department of Statistics and Informatics Federal Rural University of Pernambuco Recife Brazil School of Exact Sciences and Engineering Universidad Sergio Arboleda Bogotá Colombia Programa de Ingeniería Ambiental Facultad de Ingeniería Universidad Mariana Pasto Colombia School of Electrical and Electronic Engineering Universidad del Valle Cali Colombia

Drought is a climatic phenomenon that has increased in severity over time. This study analyzed drought spread in the Alto Patía basin (13,047 km2) in South America, applying the Standardized Precipitation Index (SPI), Vegetation Health Index (VHI), and Streamflow Drought Index (SDI) to assess meteorological, agricultural, and hydrological drought, respectively. Synchronous and asynchronous correlations were estimated, and Wavelet analysis was conducted to verify relationships among drought types. Results show that the lag between drought types varies based on the intensity, temporal continuity, and spatial extent of meteorological drought. A lag of zero months (1–2 months) was observed between meteorological and hydrological drought when moderate (severe) meteorological drought partially (fully) covers the basin. Agricultural drought, however, does not always correspond to meteorological drought during isolated rainfall events. As the first study in Colombia to systematically connect these drought types, this research addresses a gap in understanding how drought impacts progress across systems in regions with complex rainfall patterns. These findings offer critical insights into the interdependencies among drought types, supporting enhanced drought monitoring and early warning systems in similar climatic regions. By identifying specific lags between meteorological and hydrological droughts, this study provides practical guidance for land management, water conservation, and crop planning, offering a foundation for future research on drought resilience strategies.

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Biological methane production coupled with sulfur oxidation in a microbial electrosynthesis system without organic substrates

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Journal of Environmental Sciences 2022年第6期34卷 68-78页

作者： Ha T.T.Dinh Hiromi Kambara Shuji Matsushita Yoshiteru Aoi Tomonori Kindaichi Noriatsu Ozaki Akiyoshi Ohashi Department of Civil and Environmental Engineering Graduate School of Advanced Science and EngineeringHiroshima University1-4-1KagamiyamaHigashihiroshimaHiroshima 739-8527Japan Faculty of Environment Ho Chi Minh City University of Natural Resources and Environment236 Le Van Sy1 WardTan Binh DistrictHo Chi Minh CityViet Nam Agricultural Technology Research Center Hiroshima Prefectural Technology Research Institute6869HaraHachihonmatsuHigashihiroshimaHiroshima 739-0151Japan Program of Biotechnology Graduate School of Integrated Sciences for LifeHiroshima University1-3-1KagamiyamaHigashihiroshimaHiroshima 739-8530Japan

Methane is produced in a microbial electrosynthesis system(MES) without organic substrates. However, a relatively high applied voltage is required for the bioelectrical *** this study, we demonstrated that electrotrophic methane production at the biocathode was achieved even at a very low voltage of 0.1 V in an MES, in which abiotic HS-oxidized to SO_(4)^(2-) at the anodic carbon-cloth surface coated with platinum powder. In addition, microbial community analysis revealed the most probable pathway for methane production from electrons. First, electrotrophic H_(2) was produced by syntrophic bacteria, such as Syntrophorhabdus, Syntrophobacter, Syntrophus, Leptolinea, and Aminicenantales, with the direct acceptance of electrons at the biocathode. Subsequently, most of the produced H_(2) was converted to acetate by homoacetogens, such as Clostridium and Spirochaeta 2. In conclusion,the majority of the methane was indirectly produced by a large population of acetoclastic methanogens, namely Methanosaeta, via acetate. Further, hydrogenotrophic methanogens,including Methanobacterium and Methanolinea, produced methane via H_(2).

关键词： Bioelectricity Homoacetogens Methane production Microbial electrosynthesis system Sulfur oxidation

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The Banking Industry is Undergoing a Digital Transformation as Part of Industrial 4.0

The Banking Industry is Undergoing a Digital Transformation ...

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International Conference on Smart Computing & Communications (ICSCC)

作者： Wahyu Sardjono Dewi Sagita Pranata Aditya Agung Dwi Ramdhana Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Department of Informatics Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences King's College London Strands West Minster England Master of Management Faculty of Economics and Business University of Airlangga Surabaya Indonesia

ISBN: (数字)9798350363104

ISBN: (纸本)9798350363111

In the current day, digital transformation is imperative; both customer demand and market competitiveness are mostly driving that trend. The fourth industrial revolution has also affected the financial sector. One difficulty that has to be addressed is the desire from customers for quick and useful services. Traditional procedures need to be replaced with digital ones. Furthermore, banking organizations will have a competitive edge in the current market if they are successful in this digital transformation process. Successful transformation, however, does not happen by accident; in fact, the likelihood of completing this change is seen to be very low, necessitating rigorous planning for a company that is ready for the future. There are several components to the preparation in question, both internal and external. In this situation, the company's ability to combine and rearrange its resources quickly is essential for adapting to the ever-changing business environment.

关键词： Industries Leadership Companies Banking Market research Fourth Industrial Revolution Planning Faces Accidents

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An Examination of the Possible Application of Artificial Intelligence Audit Process in Organizations

An Examination of the Possible Application of Artificial Int...

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International Conference on Cybernetics and Intelligent System (ICORIS)

作者： Wahyu Sardjono Dewi Sagita Pranata Muhammad Isamesal Information Systems Management Department BINUS Graduate Program – Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Cyber Security Studi Program Department of Informatics Faculty of Natural Mathematical & Engineering Sciences King's College London Strands West Minster England Master of Management Department Faculty of Economics and Busines Universitas of Airlangga Surabaya Indonesia

ISBN: (数字)9798331539603

ISBN: (纸本)9798331539610

This study investigates how artificial intelligence (AI) can transform audit processes, including how AI can be used in businesses to execute non-technical audit tasks and what effect this will have on those tasks. A qualitative case study methodology is used in the research design to give detailed insights into how AI is being adopted by businesses. This study aims to analyze the aspects that impact AI implementation from the viewpoints of managers, auditors, and other stakeholders. The findings show that artificial intelligence (AI) has a great deal of promise for non-technical audit procedures in businesses. AI can automate tedious jobs, evaluate large data sets to identify hazards and enhance teamwork and communication. These developments may lead to increased productivity, maybe better audit quality, and more effective processes. But there are still difficulties. Data quality is essential to the success of AI integration, and auditors may exhibit bias in favor of human professionals. Careful thought must also be given to ethical issues about transparency and possible job displacement. All things considered, this study adds significant knowledge to both the academic literature and real-world auditing applications. It improves our comprehension of the function of AI in the industry and provides useful information for people involved in information technology development, audit, and legislation.

关键词： Productivity Ethics Data analysis Reviews Data integrity Transforms natural language processing Teamwork Stakeholders Artificial intelligence

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Combination of cellulose nanocrystal and graphene oxide as modifying agent for improving the performance of PVDF membranes

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Case Studies in Chemical and Environmental engineering 2024年 10卷

作者： Sofyana Muslim, Abrar Supardan, Muhammad Dani Ambarita, Aulia Chintia Arahman, Nasrul Doctoral Program School of Engineering Science Syiah Kuala University Department of Chemical Engineering Syiah Kuala University Graduate School of Environmental Management Universitas Syiah Kuala Research Center for Environmental and Natural Resources Universitas Syiah Kuala Oil Palm and Coconut Research Center Universitas Syiah Kuala

The effectiveness of polyvinylidene fluoride (PVDF) membranes in various applications is often hampered by fouling, necessitating the exploration of modification strategies to enhance their antifouling properties. This study investigates the effect of combining cellulose nanocrystal (CNC) and graphene oxide (GO) on PVDF membranes to address this issue. Six flat sheet membranes with different compositions were fabricated using a non-solvent-induced phase separation method. The resulting membrane (M5: CNC 1 % w/w and GO 0.25 % w/w) exhibited increased surface pores, a finger-like cross-sectional structure, and higher water content. The pure water flux (PWF) in the M5 membrane increased to 37 L/m²∙h, with a humic acid (HA) rejection rate of 60 % and excellent antifouling properties (98.32 %). In conclusion, this study successfully modified PVDF membranes by combining CNC and GO, resulting in membranes with improved properties and performance. The present study provides valuable insights into composite membrane design and offers potential solutions to fouling challenges. © 2024 The Authors

关键词： Antifouling Cellulose nanocrystals Composite membrane Graphene oxide Polyvinylidene fluoride

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Contribution of irrigation to the production of maize, wheat, and rice in the major global producing countries

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National Science Review 2024年第11期11卷 44-46页

作者： Zhipin Ai Julien Boulange Xin Zhao Fadong Li Rashid Mahmood Kiril Manevski Yonghui Yang Guirui Yu Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources ResearchChinese Academy of Sciences College of Resources and Environment University of Chinese Academy of Sciences United Graduate School of Agricultural Science Tokyo University of Agriculture and Technology Earth System Division National Institute for Environmental Studies Water Engineering and Management Asian Institute of Technology Sino-Danish College University of the Chinese Academy of Sciences Department of Agroecology Aarhus University Center for Agricultural Resources Research Institute of Genetics and Developmental Biology Chinese Academy of Sciences

Global megatrends in population growth and climate change, together with regional conflicts, are driving an increasing and unequal demand for food and consequently pose a serious threat to food security worldwide. Studies have shown that increasing cropland productivity, rather than expanding cropland area, may be a more viable strategy to promote food security [1]. From an agronomic perspective, irrigation can greatly enhance crop yield and productivity,

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Finding the Important Elements Linked to Integration Problems in the Use of Enterprise Resource Planning Systems

Finding the Important Elements Linked to Integration Problem...

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International Conference on Information management and Technology (ICIMTech)

作者： Wahyu Sardjono Desi Maya Kristin Dewi Sagita Pranata Information Systems Management Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia Information Systems Department School of Information Systems Bina Nusantara University Jakarta Indonesia Department of Informatics Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences King's College London UK

ISBN: (数字)9798350390025

ISBN: (纸本)9798350390032

Organizations face an urgent need to become faster, more efficient, and more successful in their commercial operations, given the current state of technological evolution and the arrival of Industry 4.0. Many businesses have adopted the idea of enterprise resource planning (ERP) systems to achieve this goal. The ERP system is expected to increase worker productivity, improve business performance to maximize profitability and profits, and provide accurate and up-to-date data and information to management and stakeholders. This research aims to find new variables related to integration problems in the use of ERP systems. Using the SPSS statistical program, the data collected will be examined using quantitative exploratory factor analysis (EFA). Data processing then includes collecting demographic information from respondents, reliability testing, conducting the Kaiser-Meyer-Olkin (KMO) test, testing using an anti-image matrix, and deriving new factors using a rotation component matrix. This research seeks to identify new elements underlying ongoing integration problems in ERP system implementation. The research results show several reasons for underlying integration problems and offer in-depth information to management that can be used to analyze and evaluate the ERP system in their company appropriately in the future so that the company's performance becomes superior to the competition.

关键词： Training Standards organizations Companies Enterprise resource planning Business process re-engineering Stakeholders Reliability Best practices System implementation Testing

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Modelling and predicting annual rainfall over the Vietnamese Mekong Delta (VMD) using SARIMA

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Discover Geoscience 2024年第1期2卷 1-18页

作者： Minh, Huynh Vuong Thu Van Ty, Tran Nam, Nguyen Dinh Giang Lien, Bui Thi Bich Thanh, Nguyen Truong Cong, Nguyen Phuoc Meraj, Gowhar Kumar, Pankaj Van Thinh, Lam Van Duy, Dinh Van Toan, Nguyen Downes, Nigel K. Bhuyan, Md. Simul Kanga, Shruti Singh, Suraj Kumar Water Resources Department College of Environment and Natural Resources Can Tho University Can Tho Vietnam Water Resource Engineering Department College of Engineering Can Tho University Can Tho Vietnam Environment and Natural Resources Management Department College of Environment and Natural Resources Can Tho University Can Tho Vietnam Department of Environmental Engineering College of Environment and Natural Resources Can Tho University Can Tho Vietnam Department of Ecosystem Studies Graduate School of Agricultural and Life Sciences The University of Tokyo Tokyo Japan Institute for Global Environmental Strategies Hayama Japan Department of Personnel Can Tho University Can Tho Vietnam Bangladesh Oceanographic Research Institute Cox’s Bazar Bangladesh Sylhet Agricultural University Sylhet Bangladesh Department of Geography School of Environment and Earth Sciences Central University Bathinda India Centre for Climate Change and Water Research Suresh Gyan Vihar University Jaipur India

Climate and rainfall are extremely non-linear and complicated phenomena, which require numerical modelling to simulate for accurate prediction. We obtained local historical rainfall data for 12 meteorological stations in the Vietnamese Mekong Delta (VMD) for the 45-year period 1978–2022, to predict annual rainfall trends. A statistical time series predicting technique was used based on the autoregressive integrated moving average (ARIMA) model. We utilized the seasonal ARIMA process of the form (p,1,q)(P,1,Q) for our study area. The best seasonal autoregressive integrated moving average (SARIMA) models were then selected based on the autocorrelation function (ACF) and partial autocorrelation function (PACF), the minimum values of Akaike Information Criterion (AIC) and the Schwarz Bayesian Information (SBC). The seasonal autoregressive integrated moving average model with external regressors (SARIMAX) was discovered, and a series of SARIMA models of various orders were estimated and diagnosed. To evaluate model fitting, we used the Nash–Sutcliffe coefficient (Nash) and the root-mean-square error (RMSE). The study has shown that the SARIMA (1, 1, 1)(2, 1, 1)11 and SARIMA (1, 1, 1)(2, 1, 1)12 model were appropriate for analyzing and forecasting future rainfall patterns at particular meteorological station in the VMD. The results showed the SARIMA model is more reliable and provides more accurate projections than other commonly used statistical methods, notably interval forecasts. We found that interpretable and reliable near-term location-specific rainfall predicts can be provided by the SARIMA-based statistical predicting model.

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