Adequate Water Supply Research Articles

Optimizing Integrated Water and Electrical Networks through a Holistic Water–Energy Nexus Approach

As water and electrical networks cannot be entirely independent, a more integrated approach, the water–energy nexus (WEN), is developed. A WEN is the basis of a smart city where water and electrical networks are interconnected and integrated by implementing efficient management strategies. Accordingly, this study develops a dynamic co-optimization model for designing and operating an integrated power and water system. The proposed co-optimization model minimizes the total annual and operational costs of a micro-WEN system while capturing its optimum design values and operating conditions and meeting the demands of the electrical and water networks. Furthermore, this work presents a plan for transitioning from thermal desalination to reverse osmosis (RO) desalination in the United Arab Emirates (UAE). The key objective is to decouple electricity and water production, effectively tackling the issue of operating the UAE’s power plants at low efficiency during the winter while ensuring an adequate water supply to meet the growing demand. The results show that the co-optimization model provides a significant reduction in the total operational cost with the integration of photovoltaic energy and shifting to RO. Most importantly, the micro-WEN system is optimized over multiple timescales to reduce the computation effort and memory requirements.

"Assessment of Water Quality in the Mula-Mutha River: Challenges, Solutions, and Analysis

Mula and Mutha River being the major rivers provide adequate supply of water for the various needs. While, Mula-Mutha River in pune (India) is one of the most vulnerable water bodies to pollution because of their role in carrying municipal and industrial wastes and run-offs from agricultural lands in their vast drainage basins. Despite of the various standards and laws made by government many industries were discharging their waste directly into the river making its quality poor day by day. As this water is further used for drinking and other purposes at the downstream of the rivers, its quality has much importance. The water treatment plants in Pune have been under constant development ensuring to accomplish the need of water. The constant increase in this pollution of water has brought down the efficiency of water treatment plants. Thus, there is a need for analysis of water to be done prior to usage. This is a study for assessment of the river water quality specifically Mula-Mutha river, to find its current suitability, condition and further analysis. This study also includes study of enacted solutions to river treatment and evaluation of the drawbacks they include. Key Words: Municipal and Industrial Wastes, Run-offs, Quality of water, Water Treatment

Ajuste osmótico y rendimiento de dos variedades de palta (Persea americana), Hass y Fuerte, con sistema de riego por goteo, en zona andina del Perú

The cultivation of avocado (Persea Americana) is not only essential from an economic point of view, but also plays a crucial role in the nutrition, health and well-being of populations around the world. The study was carried out in Ayacucho -Peru (latitude: 12° 53' 57'' S, longitude: 74° 16' 55'' W and altitude: 2596 masl), with the objective of evaluating the effect of the use of the technical drip irrigation system on the production and yield of two varieties of avocado, Hass and Fuerte. The study was based on the use of an irrigation system with programming by treatment with avocado plants installed in plots of 500 m² in 6 sectors, with a density of 5 x 5 m, whose age was between 5 to 16 years, of the which were considered 12 plants (6 plants with drip irrigation and 6 plants as a control with gravity irrigation). Irrigation was carried out right at the flowering and production stage, guaranteeing adequate water supply in periods of water deficit, between February and June 2022. The experimental design was a complete randomized block, with six blocks of 20 plants each. The harvest carried out reported yields of 67.96 ± 8.8 t/ha under technical irrigation and 26.42 ± 4.93 t/ha under gravity irrigation, an increase of 157% with respect to the latter. As for the varieties, the Fuerte avocado had the highest yield 49.38 ± 23.06 t/ha compared to the Hass variety (45.0 ± 21.14 t/ha), the maximum yield occurred with drip irrigation for the Fuerte variety (71.09 ± 8.38 t/ha), this is explained by the energy expenditure in the osmotic adjustment potential which drastically decreases the yield potential with traditional gravity irrigation, obtaining a minimum yield in Hass of 25.18 ± 4.44 t/ha.

Contributions to a global understanding of socioenvironmental justice related to urban forest: Trends from Brazilian cities in the southeastern Paraná State

Global studies on urban forests (UFs) have extensively covered both environmental and social aspects, including concerns about public health and green solutions provided by trees and forests in cities. However, this trend has not been widely observed in South America, particularly in cities located outside and distant from capital cities and wealthier regions. So, this study examines disparities in socioenvironmental justice of cities in the poorest region of Paraná State, Brazil, comparing to Curitiba (CWB), the capital and one of the greenest cities of Brazil, and proposes a methodology to surpass the scarcity of adequate dataset. A four-dimensional analysis covers the configuration of UF landscapes, the provision of ecosystem services, accessibility to UF, and their interrelation with socioeconomic indicators. We used high-resolution multispectral images from PlanetScope Dove and employed a machine learning algorithm to accurately map UF. We quantified landscape patterns of UFs using a variety of landscape metrics (LM), including mean patch area (AREA_MN), percentage of the landscape class (PLAND), largest patch index (LPI), mean shape index (SHAPE_MN), and the percentage of similar adjacencies (PLADJ). Additionally, we estimated ecosystem services such as total biomass (TB), carbon stock (TCS), carbon dioxide equivalent (CO2eq), urban heat island (UHI), and available public green areas (PGA). We created accessibility maps to PGA at distances of 300 and 800 m. A Mann-Kendall correlation analysis was employed to explore the relationships between these variables and various socioeconomic indicators, including the percentage of people in households without adequate water supply and sewage (TAEE), the percentage of the population living in urban households without garbage collection service (TPSL), the illiteracy rate of the population aged 15 years or older (TANAL), the proportion of people with per capita household income equal to or less than half minimum wage at year of 2010 (TVULNER), the number of schools (SCHOOLS), and the number of permanent residents (MPERM). The Sen's slope test was performed to determine the magnitude of these correlations. Our four-dimensional analysis revealed significant disparities in the distribution and accessibility of ecosystem services within the cities of southeastern Paraná State when compared to CWB. Correlation analyses revealed significant discrepancies between different socioeconomic conditions and the availability of ecosystem services. Financial vulnerability is positively correlated with ecosystem services, while the lack of sanitation negatively impacts their availability. The results highlight the urgent need for equitable distribution of UF ecosystem services.

A Raspberry Pi-Powered IoT Smart Farming System for Efficient Water Irrigation and Crop Monitoring

Water irrigation remain as a challenge to supply adequate amount of water to sustain the growth of plant and crops yield along the year in certain part of the world which are heavily affected by climate change. This scenario creates a huge risk toward the world food supply chain. Hence, the application of smart farming system is crucially important now to pave the way for a better the agriculture monitoring system to replace traditional manual monitoring labour by farmers. The smart farming system are usually equipped with environmental stimuli sensing system such as temperature, humidity, soil moisture, light intensity sensing sensors coupled with automation actuators to control the water irrigation rate for the crops in order to save water and at the same time provide adequate water supply for plant growth. The aim of using such smart farming system is to enable higher crops production and less human labour at the same time optimising resources available to minimize cost of farming. Hence, this paper aims to introduce a novel approach of a Raspberry Pi powered IoT smart farming system (ISFS) which can incorporate autonomous monitoring of plant irrigation, temperature, humidity, soil moisture and light intensity, to design a smartphone app that allows users to monitor plantation-related conditions in a user-friendly manner, and to enable automatic control of a drip irrigation system for plants based on data obtained on soil moisture, temperature and sunlight intensity. The proposed prototype with the functionality mentioned is aim to resolve the existing problem and to meet the demand of smart farming application in current era.

Evaluation of surface water supply impacts from permit exemptions: A comparison with climate change and demand growth

AbstractMany states in the Eastern U.S. have limited water withdrawal regulations, posing significant risks to water supply management during periods of low flows. While these states require water withdrawal permits, exemptions for grandfathered withdrawals that allow unregulated access to surface water are common. Such permit exemptions present a challenge to water supply management, as full utilization of allowable withdrawals by permit‐exempt users could pose risks to maintaining adequate water supplies for current and projected demand. This study used reported permit exemption data in Virginia to understand the extent, volume, and potential impact of permit‐exempt withdrawals on 30‐ and 90‐day low flows. The permit‐exempt withdrawal values used in this study were obtained from Virginia Department of Environmental Quality. Maximum permit‐exempt withdrawal volumes were significantly higher than projected future demands in permitted users. The impacts of these withdrawals on drought flows were compared with the impacts presented by climate change and demand growth. Widespread reduction in flows was observed with the “dry” future climate change scenario, while impacts were more localized in the exempt users and the demand growth scenarios. The impacts of exempt users exceeded the impact of climate change and demand growth scenarios in many regions during low‐flow periods. Therefore, more comprehensive water planning, policy and research is needed to address the impact of permit exemptions.

Where is the source? Water sources for non-resident students at the University of Kabianga, Kenya

The immense increase in residential developments around universities to provide private accommodation for the rapidly growing population of university students has constrained providing a safe, clean, and sufficient water supply. The Kenyan Constitution protects everyone`s fundamental right to access adequate water. However, the reality for non-resident students at the University of Kabianga (UoK) is far from their entitlements by the Kenyan Constitution. This project aims at establishing the sources of water available for non-resident students of the UoK. To achieve this, the study employed an exploratory approach that employed a descriptive survey. Its target population was the non-resident students (673 students) of the UoK, from whom a sample size of 250 students was selected. Simple random sampling was used in selecting the participants, while purposive random sampling was utilized to choose the study's private hostels (15 Hostels). The tools for data collection included questionnaires, key informant interviews, and an observation guide. The collected data was analyzed using SPSS to generate descriptive statistics. Findings obtained from the study revealed that most respondents (68%) relied on rainwater during the rainy season. However, most students (46%) relied on wells/boreholes, while 44% relied on private vendors during the dry season. In addition, majority of the respondents (61%), the available sources of water were not safe for drinking. In terms of challenged faced by the respondents in accessing water, time wastage while trying to access water was stated to be the main challenge (78%) as this highly affected their studies. Taken together, the study show that the water sources are unreliable, and this may not satisfy the demands of water in the area. The findings of this study will provide a basis for the provision of a sustainable water supply of adequate quality to non-resident students` hostels at the University of Kabianga and inform the stakeholders of appropriate measures that should be put in place to ensure adequate water supply to their tenants.

A Review Article on Analysis and Design of Water Distribution Network for Jabalpur antonment Board Area

The provision of a reliable and efficient water distribution system is fundamental for ensuring adequate water supply to urban areas. This review article aims to analyze and evaluate the design aspects, hydraulic performance, and challenges related to the water distribution network in the Jabalpur Cantonment Board Area. The study comprehensively examines the current state of the water distribution system, evaluates its operational efficiency, and proposes recommendations for enhancing its performance and sustainability.The review commences by providing an overview of the Jabalpur Cantonment Board Area, highlighting the demographic, geographic, and infrastructural aspects relevant to the water distribution network. It delves into the existing system layout, network configuration, pumping stations, reservoirs, pipe materials, and other infrastructure components contributing to the distribution of potable water to the residents.Furthermore, the review article conducts a detailed analysis of hydraulic modeling techniques and software applications utilized in assessing the performance and optimization of the water distribution network. It scrutinizes factors influencing network efficiency, including water demand patterns, pressure management, leakage detection, and water loss reduction strategies.Through a critical evaluation of the existing challenges faced by the water distribution network in Jabalpur Cantonment, the review identifies issues such as aging infrastructure, inadequate maintenance, uneven distribution, non-revenue water, and insufficient pressure management.

Optimal water tariffs for domestic, agricultural and industrial use

Consider a water supplier who determines sales rates with the goals of maximizing profits, protecting consumer welfare, and ensuring adequate future water supplies. Buyers are differentiated and can use the water for domestic, agricultural, and industrial purposes. We propose a leader-follower finite-horizon differential game. The leader (the water supplier) determines the selling price and the followers (consumers) react by requesting their optimal amount of water. We calculate a feedback Stackelberg equilibrium assuming that all user demand is satisfied (interior equilibrium). We compare two different tariff schemes: linear tariffs (the price paid is a multiple of the volume of water purchased), and increasing block tariffs (the unit price is lower for quantities of water that do not exceed a fixed threshold). We show that block pricing is never optimal and linear pricing is always preferred.

Simulating socio‐hydrological responses to climatic conditions in Phoenix, Arizona

AbstractProviding adequate water supply to the growing number of urban residents will be a challenge faced by many utility managers throughout the remainder of this century. Though traditionally, water managers have looked toward supply‐based solutions (e.g., expanding reservoirs), recent trends indicate a shift toward demand‐side management (e.g., encouraging conservation behaviors). Here, we present an agent‐based model (ABM) that simulates water supply as a function of the local climatic conditions and water consumption, which is, in part, determined based on water conservation attitudes. Our results indicate the ABM performs well (normalized root mean squared error <10%) for the study area. Further, we explore various hypothetical demand management scenarios by changing the water conservation attitudes of the households (i.e., the archetypes). This scenario testing reveals a statistically significant improvement to water availability after successfully changing water conservation attitudes to be more participatory. Ultimately, this study aims to understand the nuances of water conservation attitudes and aid utilities in their goal to better manage urban water demand.

Effect of fertilizer discount on fresh fruit bunches production and Nutrients in North Sumatra Indonesia

The low price of fresh fruit bunches a couple of years ago forced oil palm companies to make some efficiencies in the whole business process, including discounting the fertilizer expenses, which consequence in the Fresh Fruit Bunches (FFB) production declining in the first and second years onward. Reviewing the effect of fertilizer reduction on FFB production in commercial fields was challenging due to being confounded with many factors, including estate condition, infrastructure, climate, social, and management. Therefore it was better to assess from trials that tested the application of N, P, K, and Mg fertilizers with different rates to oil palm in a different locations on mineral soil in North Sumatra. Those trials illustrated that fertilizer discount would correct the FFB production accordingly from 3 up to 84%. In addition to this, climate, leaf nutrient uptake, and palm age play an important role in the decreasing FFB. An adequate water supply from the rainfall would stimulate a better leaf nutrient uptake and, therefore, palm more tolerant to fertilizer discounts. On the other hand, palm planted on the terraces, which are at a high risk of fertilizer leaching out and poor soil cation of subsoil, would be more sensitive to fertilizer discounts. Fertilizer discount, of course, would reduce the nutrient supply to the palm accordingly and consequently to FFB production for two to three years forward, therefore it was suggested to cut off the less response of specific nutrients only if possible.

Effects of Foliar Selenium Application on Oxidative Damage and Photosynthetic Properties of Greenhouse Tomato under Drought Stress.

Both drought stress and exogenous selenium (Se) cause changes in plant physiological characteristics, which are key factors affecting crop yield. Although Se is known to be drought-resistant for crops, its internal physiological regulatory mechanisms are not clear. This study analyzed the effects of selenium application (SeA) on antioxidant enzyme activities, osmoregulatory substance contents, and photosynthetic characteristics of greenhouse tomatoes under drought stress and related physiological mechanisms. The results showed that drought stress induced oxidative damage in cells and significantly increased the content of the membrane lipidation product malondialdehyde (MDA) and the osmoregulatory substance proline (p < 0.001) compared with the adequate water supply. The proline content of severe drought stress (W1) was 9.7 times higher than that of the adequate water supply (W3), and foliar SeA increased glutathione peroxidase (GSH-PX) activity, and SeA induced different enzymatic reactions in cells under different drought stresses; catalase (CAT) was induced under severe drought stress (p < 0.01) and was significantly increased by 32.1% compared with the clear water control, CAT. Peroxidase (POD) was induced under adequate water supply conditions (p < 0.01), which was significantly increased by 15.2%, and SeA attenuated cell membrane lipidation, which reduced MDA content by an average of 21.5% compared with the clear water control, and also promoted photosynthesis in the crop. Meanwhile, through the entropy weighting method analysis (TOPSIS) of the indexes, the highest comprehensive evaluation score was obtained for the S5W3, followed by the S2.5W3 treatment. Therefore, this study emphasized the importance of SeA to reduce oxidative damage and enhance photosynthesis under drought stress.

Growth, Morphological Alterations, and Enhanced Photosynthetic Performance Promote Tolerance of Distylium chinense to Alternate Drought–Flooding Stresses

Disentangling the underlying processes of plant adaptations to multiple abiotic stressors is crucial regarding promissory species for the restoration of riparian ecosystems prone to suffering extreme flood and drought events in the context of global climate change and human activities. Distylium chinense is a dominant evergreen shrub, distributed in the riparian areas of the Yangtze River in China. Here, one field study and five controlled experiments (Control, CK; single drought, D; single flooding, FF; from drought to recovery to full flooding, D-R-FF; from full flooding to recovery to drought, FF-R-D) were conducted. More hypertrophied lenticels, adventitious roots, and the increased stem-base hypertrophy of D. chinense were observed under the D-R-FF condition compared with FF and FF-R-D. Interestingly, the increase of the net photosynthetic rate (Pn) coincidentally occurred with the increase of heme degradation by heme oxygenase (r = 0.608, p = 0.003). Pn of D. chinense in D-R-FF was about twice as much as that in FF-R-D. The enhanced photosynthetic performance was functionally coupled with the adequate water supply to promote the tolerance of D. chinense to alternate drought–flooding condition compared with no any flooding condition. The accumulation of soluble sugar was highest under D, followed by FF-R-D, FF and D-R-FF, which showed that soluble sugar accumulation over the drought period could trigger the recovery growth of flooded plants in later flooding. These data provided the first insights into the tolerance mechanisms by a suite of morphological alterations and physiological adaptations, especially in the enhanced photosynthetic performance of D. chinense under alternating drought and flooding stresses. So, D. chinense could be considered as a prominent shrub species in the restoration practices of wetlands, riparian areas, and other flood-prone forests.

Nigerian Textiles in Sustainable National Development: Forces of Adversity

Textiles had reportedly played a significant role in the development of Nigeria like in many other parts of the world. Historical studies confirmed that it flourished at both cottage and industrial levels and have improved the socio-economic structure of the country over the years. Subsequent trend showed a decline in the contribution of textiles to the development of Nigeria and resultantly, threatened its sustainability. Therefore, this paper identified and examined inadequate locally produced raw materials, inadequate manpower development, dependent foreign machinery, low patronage resulting from smuggled and low quality products and unfavourable enabling environment as factors responsible for this ugly development. The paper revealed that consistent production of sufficient local raw materials, adequate manpower development, improved technological know-how to encourage local fabrication of machineries and spare parts,curbing smuggling to reduce foreign imports and production of quality products to increase patronage and providing favourable enabling environment such as good roads, regular power supply, adequate water supply and security of the environment are the solutions to the identified problems. The paper concludes that the textile sector will remain a very strong factor of contribution to the development of Nigeria as well as its sustainability if revitalised and given attention . Keywords: Textiles, Sustainable Ddevelopment, Nigeria, Economy, Industry. Journal Reference Format: Ajayi, J.B. (2024): Nigerian Textiles in Sustainable National Development: Forces of Adversity. Humanities, Management, Arts, Education &amp; the Social Sciences Journal. Vol. 12. No. 2, Pp 1-8.. www.isteams.net/humanitiesjournal. dx.doi.org/10.22624/AIMS/HUMANITIES/V12N2P1xx

ЯК ВПЛИНЕ ВІЙНА В УКРАЇНІ НА ЕПІДЕМІЧНУ СИТУАЦІЮ З ТУБЕРКУЛЬОЗОМ: МІРКУВАННЯ ФАХІВЦІВ

To determine the leading trends regarding the impact of the war in Ukraine on the situation with tuberculosis (TB) in real time, professional sources of information were analyzed. Publications regarding the impact of the war in Ukraine on the epidemic situation with TB are mainly of an overview nature. An increase in morbidity, mortality and worsening of other epidemiological indicators are predicted. Possible spread of multidrug-resistant tuberculosis (MDR-TB) and TB/HIV confections is of special concern, as even before the war Ukraine ranked second in Europe for the burden of HIV infection, fourth for the spread of TB and fifth in the world for MDRTB. The impact of war on the health of the population and the medical care system is determined by many factors, including damage to the country's infrastructure, overcrowding, deterioration of sanitary conditions, forced displacement of the population, insufficient availability of medical care, lack of adequate supply of water and food, mental overload, financial difficulties etc. The war affects patient care and the effectiveness of the health care system, which means poor TB detection rates, coverage of preventive examinations, and limited access to health care in general. This problem requires an immediate and comprehensive research and develop a set of measures to restore the full provision of medical care for this disease. Establishing the determinants of TB risk caused by the war will allow offering practical health care measures that should reduce the negative impact of the war on the epidemic situation with TB in Ukraine. Key words: tuberculosis, epidemic situation, war.

An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications

As a critical component of sustainable water management, groundwater level prediction plays a vital role in mitigating droughts and ensuring adequate water supply. For decades, groundwater level dynamics have been primarily studied through physics‐based models, solving partial differential equations. However, interest has increased over the past few years in using Machine Learning (ML) approaches, like Deep Learning (DL) techniques, to study groundwater fluctuation dynamics more efficiently. DL models utilize complex algorithms to identify patterns that may be difficult to observe with traditional physics‐based models, specifically where the underlying physics is complex or poorly understood or where the available physical model is too simple. The article provides an overview of the literature published since 2001, encompassing 91 works that employed ML models to investigate groundwater‐related issues. Within this body of literature, 47 articles employed ML for groundwater level (GWL) modeling. Later, this article delves specifically into the latest advancements in DL for modeling GWL, including recurrent neural network (RNN), long short‐term memory (LSTM), and gated recurrent unit (GRU), and discusses their technical promising performance and advantages. We found that the most used time scale was monthly, which appeared in 18 articles, followed by the daily time scale, which appeared in 13 articles. The authors of the articles used normalization as a feature scaling method in 18 articles, while standardization was used in 3 articles. Python was the predominant programming language used in 18 studies for developing machine learning models, followed by MATLAB, which was used in 5 articles. Most authors divided their data sets into 60–90% for training and 10–40% for testing. Most studies have focused on pure academic research rather than practical industrial applications. Therefore, this article identifies shortcomings in recent literature on DL for GWL studies and suggests addressing these issues to improve practical application in real‐world settings.

Soil erosion vulnerability and soil loss estimation for Siran River watershed, Pakistan: an integrated GIS and remote sensing approach.

Soil erosion is a problematic issue with detrimental effects on agriculture and water resources, particularly in countries like Pakistan that heavily rely on farming. The condition of major reservoirs, such as Tarbela, Mangla, and Warsak, is crucial for ensuring an adequate water supply for agriculture in Pakistan. The Kunhar and Siran rivers flow practically parallel, and the environment surrounding both rivers' basins is nearly identical. The Kunhar River is one of KP's dirtiest rivers that carries 0.1 million tons of suspended sediment to the Mangla reservoir. In contrast, the Siran River basin is largely unexplored. Therefore, this study focuses on the Siran River basin in the district of Manshera, Pakistan, aiming to assess annual soil loss and identify erosion-prone regions.Siran River average annual total soil loss million tons/year is 0.154. To achieve this, the researchers integrate Geographical Information System (GIS) and remote sensing (RS) data with the Revised Universal Soil Loss Equation (RUSLE) model. Five key variables, rainfall, land use land cover (LULC), slope, soil types, and crop management, were examined to estimate the soil loss. The findings indicate diverse soil loss causes, and the basin's northern parts experience significant soil erosion. The study estimated that annual soil loss from the Siran River basin is 0.154 million tons with an average rate of 0.871 tons per hectare per year. RUSLE model combined with GIS/RS is an efficient technique for calculating soil loss and identifying erosion-prone areas. Stakeholders such as policymakers, farmers, and conservationists can utilize this information to target efforts and reduce soil loss in specific areas. Overall, the study's results have the potential to advance initiatives aimed at safeguarding the Siran River watershed and its vital resources. Protecting soil resources and ensuring adequate water supplies are crucial for sustainable agriculture and economic development in Pakistan.

Study of Drinking Water Supply System Development Planning in Dusun Tuti, North Lombok Regency, Indonesia

Dusun Tuti is part of the administrative area of ​​Sokong Village, Tanjung District, North Lombok Regency. Tuti Hamlet has a population of 596 people spread across 5 (five) RT. Currently, meeting the need for clean water in Tuti Hamlet uses several drilled wells that are still functioning. In total there are 5 locations for drilled wells. However, currently only 2 drilled wells can operate and are unable to serve the amount of clean water needed in Tuti Hamlet. This is due to the absence of an adequate drinking water supply system network to distribute water originating from several drilled wells that are still operating. Therefore, it is necessary to plan the development of a drinking water supply system (SPAM) in Tuti Hamlet to overcome this problem. The aim of this research is to calculate the projected clean water needs in Tuti Hamlet for the next 15 years and plan the clean water piping network so that the clean water needs of the Tuti Hamlet community can be met. Population projections to determine the projected need for clean water using arithmetic methods. The population projection results show that the population in 2038 will be 920 people with an average need for clean water of 0.11 liters/second. The main distribution network system development plan in 2022-2038 uses 2 inch diameter PVC pipes for 450 m, 1.5 inch diameter PVC pipes for 3000 m and 0.5 inch diameter PVC pipes for 3600 m.

Plant compensatory growth: its mechanisms and implications to agricultural sustainability under global environmental changes

ABSTRACT Compensatory growth represents the ability of plants to counteract the negative consequences of herbivore damage, contributing to the sustainable development of agriculture. Minor changes in compensatory growth due to environmental changes may significantly impact the structure and functionality of ecosystems, especially for agriculture in a semiarid region. However, there is a lack of systematic quantitative summaries and reviews on compensatory growth mechanisms, especially regarding how they might respond to global environmental changes (e.g. climate warming, drought, nutrient variation, and elevated CO2). This paper summarizes the types of physio-ecological responses of plant compensatory growth to defoliation and their characteristics through a systematic review of existing literature. The review shows that damaged plants that undergo variations in morphological and physiological traits, such as enhanced photosynthesis, increased branching, and altered biomass allocation, may mitigate injury or produce overcompensatory growth. Moderate disturbance and arbuscular mycorrhizal fungus infection rates are beneficial for overcompensation. I further discuss how plant compensatory growth is affected by global change factors, concluding that adequate nutrients and water supply are crucial factors influencing overcompensation. This summary can advance our understanding of the response patterns and mechanisms underlying plant compensatory growth, which is vital for gaining insight into the regenerative capacity of plants and promoting sustainable agricultural development under global environmental changes.

IoT-based smart irrigation management system using real-time data

&lt;p&gt;An adequate water supply is essential for the growth and development of crops. When rainfall is insufficient, irrigation is necessary to meet crop water needs. It is a crucial and strategic aspect of economic and social development. To combat climate change, there is a need to adopt irrigation management techniques that increase and stabilize agricultural production while saving water, using intelligent agricultural water technologies. Internet of things (IoT) based technologies can achieve optimal use of water resources. This article introduces a smart realtime irrigation management system based on the internet of things. It provides optimal management of irrigation decisions using real-time weather and soil moisture data, as well as data from precipitation forecasts. The proposed algorithm is developed in real-time based on the IoT, enabling us to guide irrigation and control the amount of water in agricultural applications. The system uses real-time data analysis of climate, soil, and crop data to provide flexible planning of the irrigation system’s use. A case study from the Fez-Meknes region in Morocco is presented to demonstrate the proposed system’s effectiveness&lt;/p&gt;