Water Conservation Research Articles

Research on water droplet interception mechanism of sheet-type drift eliminator based on three-dimensional transient numerical simulation

A three-dimensional transient numerical study was conducted on the sheet-type drift eliminator single-channel to reveal the droplet interception mechanism, using a mechanical draft wet cooling tower (MDWCT) as a typical operating environment. The droplet-air, droplet-droplet, droplet-film, and film-air interactions were considered comprehensively from the aerodynamics and heat transfer. The results indicate the existence of two distinct types of droplet escape: primary escape and secondary escape. The Stokes number (St) ≤ 1 for the vast majority of primary escaped droplets, whereas the secondary escaped droplets exhibit a considerable range of St. The correlation curves between the escape rate and the Stokes number (Stin) is similar under different inlet velocities (vin). The escape rate first decreases and then increases as Stin increases. There is a safety zone (Stin from 0.83 to 18.62) where the escape rate is near zero. For the studied eliminator, the specific safety zone is 65∼190 μm. The mass flow rate of escaped droplets first decreases and then increases as vin increases. The secondary escape dominates instead of primary escape when vin ≥ 7 m/s. This paper provides theoretical support for improving interception efficiency of eliminator while extending the methods for drift reduction and water savings.

ReLU surrogates in mixed-integer MPC for irrigation scheduling

Efficient water management in agriculture is important for mitigating the growing freshwater scarcity crisis. Mixed-integer Model Predictive Control (MPC) has emerged as an effective approach for addressing the complex scheduling problems in agricultural irrigation. However, the computational complexity of mixed-integer MPC still poses a significant challenge, particularly in large-scale applications. This study proposes an approach to enhance the computational efficiency of mixed-integer MPC-based irrigation schedulers by employing Rectified Linear Unit (ReLU) surrogate models to describe the soil moisture dynamics of the agricultural field. By leveraging the mixed-integer linear representation of the ReLU operator, the proposed approach transforms the mixed-integer MPC-based scheduler with a quadratic cost function into a mixed-integer quadratic program, which is the simplest class of mixed-integer nonlinear programming problems that can be efficiently solved using global optimization solvers. The effectiveness of this approach is demonstrated through comparative studies conducted on a large-scale agricultural field across two growing seasons, involving other machine learning surrogate models, specifically Long Short-Term Memory (LSTM) networks, and the triggered irrigation scheduling method. The ReLU-based approach significantly reduces solution times—by up to 99.5%—while achieving comparable performance to the LSTM approach in terms of water savings and Irrigation Water Use Efficiency (IWUE). Moreover, the ReLU-based approach achieves enhanced performance in terms of irrigation water savings and IWUE compared to the triggered approach.

Morphometric analysis and LULC change dynamics of Nayar watershed for the sustainable watershed management

The morphometric analysis of the watersheds is essential for the conservation of natural resources, including soil, water, and vegetation. The Morphometric analysis defines the linear, areal and relief aspects of the watershed. It involves the comprehensive analysis of various factors such as drainage network, surface water flow, and other topographical features. The aim of this study is to develop a sustainable watershed management strategy for the Nayar watershed based on morphometry and Land Use Land Cover (LULC) change dynamics. The Nayar watershed has a total area of 1956.33 km2. The multispectral satellite imagery, Digital Elevation Model (DEM) data, and Survey of India (SOI) Toposheets were used for understanding the topographical and morphological characteristics along with the LULC change dynamics. The findings of this research conclude that the Nayar watershed has parallel and dendritic drainage patterns with high relief. According to the LULC change dynamics, the Nayar watershed's area change comprising 57.60 km2 and 57.15 km2, are from Agricultural Land to Wasteland and from Forest Cover to Wasteland, respectively. This shift in the hilly region will increase the risks of landslides and erosion. Furthermore, the change of 110.03 km2 area of Forest Cover to Agricultural Land raises further challenges due to loss of natural vegetation in long run. In summary the change in LULC of Nayar watershed is vulnerable to risk of natural calamities like landslide, erosion. This work would be helpful to many experts and decision-makers for sustainable watershed management and natural resource management.

Water reservoir techniques using remote sensing and GIS: a literature survey

Abstract The issue of storing flood waters caused by rains and river floods is very important to address the problems of drought. This study reviewed the latest research to address the problems of water scarcity and conservation with advanced methods. these study methodologies range from employing Geographic Information Systems Programs to handle and analyses remote sensing data to incorporating contemporary techniques to enhance morphometric analysis, where researchers employed various analytical techniques. To determine if these watersheds are appropriate for storing water, some studies have preferred Multi-Criteria Decision-Making models (MCDM), more especially the fuzzy analytical hierarchy (FAHP) Fuzzy Analytical Hierarchy Process. Others have employed techniques for hydrological analysis, such as the ArcGIS program’s Arc hydrology tools. Researchers reached a consensus regarding the fundamental parameters required for morphometric analysis in the demarcation of watersheds, notwithstanding methodological variances. Additionally, many researchers have argued the importance of using the Shuttle Radar Topography Mission Digital Elevation Model (SRTM-DEM) mission and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER DEM) in morphometric and hydrologic studies.

Tracing Urban Drinking Water Sources: Global State of the Art and Insights From an IAEA‐Coordinated Research Project

ABSTRACTClimate change, inter‐annual precipitation variability, recurrent droughts and flash flooding, coupled with increasing water needs, are shaping the co‐evolution of socioeconomic and cultural assemblages, water laws and regulations, and equitable drinking water access and allocation worldwide. Recognising the need for mitigation strategies for drinking water availability in urban areas, the Isotope Hydrology Section of the International Atomic Energy Agency (IAEA) coordinated a state‐of‐the‐art global assessment to evaluate water sources and distribution of drinking water supply in urban centres, an initiative entitled ‘Use of Isotope Techniques for the Evaluation of Water Sources for Domestic Supply in Urban Areas (2018–2023)’. Here, we report on (a) current research trends for studying urban drinking water systems during the last two decades and (b) the development, testing and integration of new methodologies, aiming for a better assessment, mapping and management of water resources used for drinking water supply in urban settings. Selected examples of water isotope applications (Canada, USA, Costa Rica, Ecuador, Morocco, Botswana, Romania, Slovenia, India and Nepal) provide context to the insights and recommendations reported and highlight the versatility of water isotopes to underpin seasonal and temporal variations across various environmental and climate scenarios. The study revealed that urban areas depend on a large spectrum of water recharge across mountain ranges, extensive local groundwater extraction and water transfer from nearby or distant river basins. The latter is reflected in the spatial isotope snapshot variability. High‐resolution monitoring (hourly and sub‐hourly) isotope sampling revealed large diurnal variations in the wet tropics (Costa Rica) (up to 1.5‰ in δ18O) and more uniform diurnal variations in urban centres fed by groundwater sources (0.08‰ in δ18O) (Ljubljana, Slovenia). Similarly, while d‐excess was fairly close to the global mean value (+10‰) across all urban centres (10‰–15‰), reservoir‐based drinking water systems show lower values (up to ~ −20‰) (Arlington, TX, USA and Gaborone, Botswana), as a result of strong evapoconcentration processes. δ18O time series and depth‐integrated sampling highlighted the influence of the catchment damping ratio in the ultimate intake water composition. By introducing new, traceable spatial and temporal tools that span from the water source to the end‐user and are linked to the engineered and socio‐economic structure of the water distribution system, governmental, regional or community‐based water operators and practitioners could enhance drinking water treatment strategies (including more accurate surface water blending estimations) and improve urban water management and conservation plans in the light of global warming.

Housing infrastructure and women in care: COVID-19 experiences from urban informal settlements of Khulna, Bangladesh

Urban informal settlements in the Global South, home to over a billion people, face significant challenges due to limited space and inadequate Water, Sanitation, and Hygiene (WASH) and Solid Waste Management (SWM) infrastructure. These deficiencies significantly impact women's ‘triple care role’—reproductive, productive, and community caregiving responsibilities—within their families, society, and the economy, exacerbated by the COVID-19 pandemic. This study aimed to explore how inadequate infrastructure in three informal settlements in Khulna, Bangladesh, influenced women's caregiving roles during the pandemic and their responses. Through semi-structured interviews with 24 women community leaders, who served as front-line workers during COVID-19, and supporting fieldwork, we discovered that women adapted by modifying their habits and the spatial layouts of their homes for isolation. Although some improvements were noted in WASH and SWM conditions, significant challenges remained, particularly in temporary housing, household adaptability, and reproductive responsibilities Despite facing informal employment, financial constraints, and food insecurity, women showed resilience through leadership, socio-political networking, and community initiatives. This study underscores the urgent need for adaptive infrastructure planning to improve living conditions in informal settlements, with a focus on proactive management of both spatial and non-spatial resources to enhance adaptation in resource-scarce contexts.

Prevalence of problem drinking in the Swedish workforce: differences between labour market industries based on gender composition and main job activity

BackgroundIdentifying problem drinking patterns across industries is essential for addressing drinking problems in the workforce. Still, it is not well understood how problem drinking differs across industries and whether it is associated with industry gender composition. This study aimed to measure the prevalence of problem drinking (PPD) across Swedish industries and investigate possible associations between gender-typed industries and problem drinking.Methods9,155 current workers were selected from the Swedish Longitudinal Occupational Survey of Health (SLOSH) data collected in 2020. Participants’ work industries were identified through the Swedish Standard Industrial Classification (SNI) codes. Seven gender-typed industry categories were created based on gender composition and main job activity in each industry. Self-reported problem drinking was measured using a slightly modified Cut-down, Annoyed, Guilt, Eye-opener (CAGE) questionnaire and a cut-off score 2 was used to determine problem drinking. Poisson regression with robust standard errors was used to investigate the association between gender-typed industries and problem drinking.ResultsPPD in the workforce was 6.6%. Men (8.5%) had a higher prevalence than women (5.3%). Across industries, PPD varied from 2.3% in Water supply and waste management to 15.4% in Mining and quarrying. The highest prevalence for men was in Mining and quarrying (18.2%), whereas for women it was in Construction (11.1%). Within gender-typed industries, the highest PPD was in male-dominated Goods and Energy Production (7.7%), and the lowest was in female-dominated Health and Social Care (4.7%). In the regression analysis, both Education (aPR: 1.39, p = 0.03) and Labour-intensive Services (aPR: 1.39, p = 0.02) had higher adjusted prevalence ratios (aPR) compared with Health and Social Care. However, there was no significant difference in aPR among gender-typed industries when considering the gender composition of industries only.ConclusionsPPD in the Swedish workforce varied significantly across industries, with differences observed between men and women. Problem drinking differed between industries when categorized by gender composition and main job activity, but not when categorized by gender composition only. Future research should investigate how industry-specific psychosocial factors influence individual alcohol consumption.

Research on the hydraulic response characteristics during the water conveyance process of water diversion projects

Abstract During the initial trial period, the Hanjiang-to-Weihe River Valley Water Diversion Project (HWRVWD) sourced water from the Sanhekou water conservancy junction. It then transferred water through the Qinling water conveyance tunnel and distributed it at the Huangchigou water distribution hub, ultimately transporting it to the Guanzhong area. The hydraulic simulation and real-time control of the water conveyance system play a crucial role in ensuring the safe and efficient operation of this engineering project. To maintain water transfer safety and reasonable scheduling during the water supply process, the hydraulic characteristics of the transient process were calculated and analyzed in this paper. The one-dimension (1D) hydrodynamic mathematical model and advection-dispersion model were established to calculate the hydraulic factors of the 81.78 km Qinling water conveyance tunnel and the Huangchigou water distribution hub within the HWRVWD. Validation results showed that the root mean squared error tended toward zero and the coefficient of determination exceeded 0.97 between the measured values and the simulated values. The opening of gates and upstream inflow directly affected water level variations and storage. Smaller gate openings led to increased water level amplitudes before the gate and faster reaching of maximum water levels, but it also led to opposite trends in flow rates behind the gate compared to upstream water levels. The impact of incoming water flow rates on flow variations at different channel sections was significant. The time for water heads to reach each section and the rate of flow variation positively correlated with incoming water flow rates. Gradual increases in upstream inflow resulted in progressively larger water level amplitudes both before and behind the gate, with an increased maximum value, but more water might be discarded. When the water demand changes, the primary focus is on controlling the upstream inflow, with gate opening adjustments as a secondary measure, to achieve the goal of minimizing or eliminating water wastage.

Automated Water Regulation Systems for Sustainable Management

Finding new ways to manage water resources becomes even more relevant today, as the growing demand for food globally combines with challenges like climate change and water scarcity. This research paper attempts to discover the automated water regulation systems that utilize advanced technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and data interpretation to upgrade irrigation practices and boost sustainable resource management. By using sensors that keep the soil moisture and the environmental conditions in check, accurate modifications can be made to the irrigation being provided. Keeping a check can help reduce water wastage by up to 30% and increase crop yield by an average of 15%. This study amplifies the productivity of smart meters and the demand for AI-driven prediction models that are capable of providing accurate forecasts and real-time data, both of which are very necessary for efficient water management. However, there exist challenges like the question of data security, high initial costs, and user acceptance. These challenges need to be addressed to make sure that these systems are widely adopted. The considerable potential of the automated water management systems to promote sustainable practices in agriculture and to ensure food security when water scarcity is increasing are highlighted via the findings made in this paper. 1 This paper has been written after taking several research papers written by scholars and professors in this field. Taking into consideration their findings and observations, and incorporating personal observations and the potential results that can be applied, this paper is drafted to recommend practices that will help support vegetation and sustainable practices.

Study on the impact of turbulent spatiotemporal propagation in the outlet passage on the performance of vertical axial flow pumps.

Abstract Pumping station engineering is crucial for our country’s national economy as a part of water conservancy infrastructure. The vertical axial flow pump commonly used in pumping station construction features a high flow rate and low discharge pressure. Understanding the impact of turbulence on the flow of water entering and leaving the pump unit is crucial for the efficient and reliable operation of a pumping station. This paper examines the internal flow and hydraulic characteristics of the device for vertical axial flow pump at a pumping station through numerical simulation technology and experimental validation. It is inferred that turbulent flow develops in the outlet flow passage while the pump device is currently functioning, impacting the impeller’s outlet bend and guide vane. This leads to the formation of vortices, backflow, and folding flow at the guide vane and outlet bend. As water flows out through the outlet passage, bias and backflow develop, causing erosion on both sides of the outlet pool and impacting the pump unit’s overall head and efficiency.

Landscape and Soil Erosion Changes Along Different Types of Road Over the Past 30 Years in the Largest Loess Tableland of China

ABSTRACTRoad construction, as a product of modern civilization, can alter landscape patterns and accelerate erosion, especially in the loess tableland area of China with fragile eco‐environment. Different types of road could change land surface and increased soil erosion in different ways, while knowledge about this topic is limited. In this study, our objective is to evaluate the landscape and soil erosion changes along different types of road in the largest loess tableland of China. Results showed that: (1) The land use type became more diverse along the three types of road in 1990–2020, leading to increased landscape fragmentation and spatial heterogeneity. (2) Different types of road had different proportions of soil erosion values. In the expressway and provincial road, the proportion of low soil erosion values (below 100 t ha−1 yr−1) was > 70% in 1990–2020; in the national road, the proportion of low erosion values (below 100 t ha−1 yr−1) was > 50%. (3) In 1990–2020, soil erosion increased with the increase of road‐induced landscape fragmentation along the three types of road. For the expressway, soil erosion value increased from 91.5 to 98.5 t ha−1 yr−1 between 1990 and 2020; for the national road, soil erosion value increased from 174.5 to 184.8 t ha−1 yr−1; and for the provincial road, soil erosion value increased from 93.7 to 97.1 t ha−1 yr−1. (4) Effective soil and water conservation programs could mitigate erosion. Compared with the simulated soil erosion value, the actual soil erosion value decreased along the expressway, national road, and provincial road by 1.21, 3.67, and 2.96 t ha−1 yr−1, respectively, between 2005 and 2020. This study emphasizes the importance of road in aggravating erosion and the effectiveness of soil and water conservation programs in mitigating soil erosion within the loess area.

Soil erosion assessment using SWAT, in relation withLand use, agricultural practices, and future climate change in a semi-arid catchment in Tunisia

Abstract Soil erosion is a severe environmental concern arising from intensive agricultural uses, land degradation, and anthropogenic activities. This problem threatens agricultural productivity and sustainable development, particularly in emerging countries. Therefore, evaluating soil erosion is essential in conservation, planning, and management on a watershed or basin scale. This study aims to assess the erosion of soil loss in the El Gouazine Watershed, central Tunisia, using the Soil and water assessment tool (SWAT). We define the impact of soil and water conservation management implementation combined with climate change scenario. We identified the spatial distribution of erosion rates based on soil properties, topography, and land use. The observed specific erosion rate of the watershed is estimated at 1.6 t.ha−1.yr−1, whereas according to the SWAT model, the average soil loss rate is 1.4 t.ha−1.yr−1. Furthermore, the obtained results highlight importance of the slope factor in affecting the severity of the soil loss rates in the El Gouazine watershed. It was also demonstrated that it’s urgent to prioritize other measures such as contour cropping or conservation agriculture, to enhance and strengthen the soils’ resistance against the detachment due to discharge water. In this context, this research found that these techniques decrease considerably the soil loss by 22% for the strip cropping, 33% for the No-tillage, and 72% for the bench terracing. Moreover, these farming techniques, contribute at the same time to the amelioration of the water balance by reducing the evapotranspiration and enhancing the soil water storage. To go further in this study a soil erosion forecast using the worst-case scenario for climate change RCP 8.5 was conducted. an overview of the future soil erosion patterns is obtained. We noticed then a decrease of the average annual soil loss rate until 2050 and then a prominent increase from 2051 to 2100.

Optimizing the radiation synthesis and swelling of agar-based acrylate superabsorbent hydrogel for irrigation water conservation

This study reports the synthesis of novel agar/poly methacrylic acid/poly acrylic acid (AG/PMAc/PAc) superabsorbent hydrogels via gamma radiation and their subsequent urea modification to enhance swelling and water retention for agricultural applications. The superabsorbent hydrogels were prepared by irradiating aqueous mixtures of varying agar concentrations with methacrylic acid/acrylic acid (MAc/Ac) monomers, followed by urea treatment at different cycles and concentrations. The morphological characteristics and chemical structures were confirmed by SEM and FTIR, respectively. The maximum swelling occurred at 6 % agar and 1 % urea modification. Remarkably, the 1 % urea-modified hydrogel displayed a 41.1 % swelling increase and 236.4 % enhancement after the second modification cycle compared to unmodified samples. Water retention studies showed the modified hydrogel retained 53.2 % moisture after 14 days versus the complete drying of unmodified hydrogels. Soil application studies demonstrated the modified hydrogel increased moisture content by 177.3 % after 20 days, promoting better growth with 30 % more leaves and 38.9 % higher stem length in Vicia faba plants versus controls. This novel radiation-synthesized, urea-modified hydrogel with exceptional swelling and moisture retention capabilities shows promising potential for sustainable agricultural irrigation and crop productivity enhancement under water-deficit conditions.

A novel framework for evidence-based assessment of flood resilience integrating multi-source evidence: A case study of the Yangtze River Economic Belt, China

Floods are extremely destructive to the society, economy and nature, and severely restrict sustainable urban development. There is an urgent need to assess the level of flood resilience, analyze its evolutionary characteristics and improve the flood resilience of the region. However, few previous studies have integrated multi-source evidence into a framework for assessing flood resilience over a longer time span. This study integrated multi-source evidence to analyze the Yangtze River Economic Belt, including literature-based evidence, policy texts and social media data. Subsequently, the Kruskal algorithm and Jaccard coefficient were used to construct collinear networks and identify the clustering dimensions of flood resilience. After evidence judgment, a flood resilience indicator system was constructed. The flood resilience index was calculated using the improved Critic method. The dynamic evolution characteristics and key influencing factors were illustrated by the Kernel density and Grey correlation methods, respectively. The principal contribution is to integrate multi-source evidence to assess flood resilience, with a newly constructed indicator system that systematically considers local public demand, policy priorities and common indicators from previous literature. The results show that: the flood resilience index of the Yangtze River Economic Belt is in the range of [0.16, 0.75] from 2000 to 2022, with higher values in the downstream compared to those in the midstream and upstream. The social dimension dominating the overall flood resilience. The kernel density curve of the YREB is characterized by a right trailing. The inter-regional differences tend to widen and have a polarization effect. The special funds for water conservancy finances and the length of flood prevention levees are key factors influencing the level of flood resilience. Finally, strategies for enhancing flood resilience were proposed. This study provides a feasible framework for constructing an indicator system and assessing flood resilience by integrating multi-source data. It is important for flood risk management and helps to the development of urban flood prevention and resilience strategies.

How water circularity can help to reduce and regulate water waste in urban districts

Abstract Global water consumption has increased sixfold in the past 100 years and is growing at about 1% per year due to population growth, economic development, and changing consumption patterns; therefore, climate change, combined with urbanization and population growth, is causing water availability problems in cities around the world. Rethinking circular cities that put water at the centre of their priorities and that manage it cyclically and keep it within the urban environment as much as possible to maximize its value must become the fundamental goal. However, to date, cities are not even close to maximizing the use of water that reaches their buildings. As a result, two main issues have emerged as crucial in the international debate: the scarcity of water resources due to its wastefulness and overuse, and extreme weather events, such as heavy rains alternating with periods of prolonged drought, a consequence of global warming. In response to these issues, this research aims to investigate the potential of a design approach that takes into account the two phenomena of water excess and shortage, integrating water from the earliest decision-making stages of building design. Starting from the definition of architectural strategies, replicable solutions are defined and evaluated against specific KPIs to develop a resilient and climate-neutral architectural and urban design model.

Examining the impact of climate change on local ecosystems and communities

We examine the particular impacts of rising temperatures, changed precipitation patterns, and an increase in the frequency of extreme weather events using climate models, field data, and socioeconomic analysis. The results of our investigation show that phenology, biodiversity, and species distributions are all significantly changing in the local ecosystems. Ecosystem services including pollination, water purification, and carbon sequestration are being hampered by these changes. One of the most important environmental issues facing humanity in the twenty-first century is climate change. The world's wealthiest and poorest nations are both impacted by climate change. In areas that are susceptible, for instance, shorter growing seasons and more frequent droughts are reducing agricultural productivity and leading to food insecurity. In addition to the environmental effects, local residents have substantial financial challenges. According to economic assessments, climate-related calamities such as floods and droughts have a substantial financial impact on both infrastructure and people. Particularly impacted are communities that depend on agriculture and natural resources, which has a big impact on their standard of living and economic stability. Our research also demonstrates how different adaptation tactics, including as water conservation and sustainable land management, can improve community resilience. Another important component of our research is the effects on health. We see a rise in climate-sensitive health outcomes, especially in areas with poor access to healthcare, such as vector-borne infections and heat-related illnesses. The mediating function of socioeconomic factors, such as income and education levels, on these health outcomes is significant. Our results highlight the necessity of focused interventions and policies to improve adaptive ability and reduce health risks. The study's finding highlights how intricately local ecosystems and communities are impacted by climate change. By providing a comprehensive analysis, our aim is to inform stakeholders and policymakers about workable mitigation and adaptation strategies. Future research should focus on longer observation periods and developing comprehensive approaches to address the complex issues caused by climate change. The paper concludes that although policy frameworks are necessary, their implementation and enforcement are hampered by Africa's poor governance structure and lack of political will.

Water conservation criteria in green building evaluation systems and estimation of possible water savings in the case of application of these criteria on a detached house

Water conservation criteria in green building evaluation systems and estimation of possible water savings in the case of application of these criteria on a detached house

Drip Irrigation of Tomatoes in Biskra: Water Saving and Economic Profitability

A field survey of thirty tomato growing greenhouses in Biskara region of Algeria was undertaken to find out the kind of the irrigation method being used and to assess their water productivity and economics. 30% of the greenhouses employed drip irrigation (9 farms), 20% (6 farms) utilized furrow irrigation, while the rest used the mixed irrigation. The sowing/transplantation of tomato in greenhouses in the region was carried out from August to October. The production started from March and ended in June. The selling price per kilogram of tomatoes ranged between 25 and 105 Algerian Dinar (DA). Results revealed that greenhouses using drip irrigation had higher water productivity and lower total water requirements. Greenhouses using drip irrigation produced 71.7 tons tomatoes ha-1, which is 33.7% higher than that using furrow irrigation. Drip irrigated greenhouses exhibited maximum water productivity of 20.4 kg m3. Total water consumption in the greenhouses using drip was 3722.2 m3 ha-1 while it was 10248 m3 ha-1 in the furrow irrigated. Average financial returns from the drip irrigated greenhouses were about 36% higher than farms using furrow irrigation.

Cost and Benefit Analysis of Different Buildings Through Reuse of Treated Greywater

The fact that the impacts of climate change cannot be prevented in the short term has increased the importance of climate change adaptation activities, and many national and international studies have been initiated in this regard. Greywater reuse (GWR) activities have become important methods recommended by the Intergovernmental Panel on Climate Change (IPCC) for adaptation to climate change. This study selects GWR from 3 different real typologies, a hotel, a residential building, and an industrial plant planned in Izmir Province of Türkiye, to design greywater systems followed by cost-benefit analyses. The applicability of GWR systems in these typologies has been analyzed, and comparisons have been made. GWR systems at the project design stage eliminate the need for installation modifications. Therefore, it is concluded that new buildings should be designed to integrate these alternative water resource systems. Recovered water through the installation of GWR systems is recommended to be used as flushing water, and the excess for garden irrigation, car washing and cleaning. The payback periods were calculated as 12 years for the hotel and industrial plant and 6 years for the residential building. The water savings were calculated as 46% for the hotel, 44% for the residential building, and 29% for the industrial plant. The results put forth the feasibility of this alternative water resource.

Smart Sensors and NodeMCU ESP8266-Based Automated Irrigation System for Effective Water Management in Agriculture

In India, agriculture is the biggest and most essential sector. The Global Internet of Things (IoT) is a vital aspect of smart farming. Internet of Things (IoT) is the interconnection of many devices over the internet. All devices are interconnected via unique identifiers, enabling data transfer without requiring interaction between humans. A sufficient amount of water is given to the crop in agriculture at a specific time through irrigation. The primary objective of this paper is develop a controlled watering system that uses smart sensors and NodeMCU ESP8266 to improve water efficiency in plants, integrated with things of speak platform. By integrating soil moisture sensors, the system ensures that irrigation is given only when the soil penetrates a predefined dryness threshold by continuously monitoring the moisture levels in the soil. By using an optimized method, water waste is reduced and plants are given the proper amount of water for healthy growth. DHT11 sensor also monitor humidity and temperature, which enables the system to modify watering schedules in response to current meteorological conditions. These environmental elements can be implemented in the system to help it adjust to changing conditions and increase overall water efficiency. Rain sensors are used to detect rainwater. When rainwater occurs, irrigation is automatically stopped to avoid overwatering and significantly preserve water resources. The central processing unit (CPU) is the NodeMCU ESP8266 microcontroller, which extracts data collected by the sensors and regulates of irrigation system in reaction to the real-time data. This automated approach improves the accuracy of irrigation techniques while also decreasing the need for human intervention, which saves time and labour