Increasing Water Demand Research Articles

Identification of Groundwater Potential Zones Using Remote Sensing and GIS for Gautam Buddha Nagar

Abstract: With an escalatory growth of human population in the 21st century there has been a significant increase in demand of water for human survival. With the limitation of Surface water sources now ground water that contributes to the total annual supply of water consumption and outshines as one of the major sources. The objective of this paper is to review and analyze the area of Gautam Buddh Nagar, Uttar Pradesh using remote sensing and Geographic Information System for identification of groundwater potential zones. There is various expertise which are used for different water zones for its mapping and its analysis. Parameters like density, soil, land use\cover, geology, drainage, rainfall, contour and terrain are used for controlling groundwater zones. These Groundwater mapping methods are explained and extracted from data sources of satellite images. These techniques include methods which are advance and conventional. For identification and mapping of groundwater potential analysis the thematic layers are used. The significance of each layer is discussed for the location groundwater potential zones using the conditions present. For effective exploration and identification of appropriate locations for water extraction this groundwater potential information will be helpful. For analysis exploration and study of a location remote sensing data is a fast, cost-effective and economical way of doing it. With the Integration of these data for the exploration of groundwater resources has been seen as a breakthrough in the field of its research, and plays a significant role for providing assistance in monitoring, accessing, and preservation of groundwater resources. In the present paper, the assessment of groundwater availability in Gautam Buddha Nagar, Uttar Pradesh, India have been conducted using these techniques. Various maps were prepared like base map, DEM, drainage density map, contour map, land use map, lineament density map and groundwater potential zones using the data of remote sensing and the existing maps. Raster data was transformed from base map and DEM using feature to raster converter tool in ArcGIS 10.3 version

Paths to research-driven decision making in the realms of environment and water

Now more than ever it is critical for researchers and decision makers to work together to improve how we manage and preserve the planet's natural resources. Water managers in the western U.S., as in many regions of the world, are facing unprecedented challenges including increasing water demands and diminishing or unpredictable supplies. The transfer of knowledge (KT) and technology (TT) between researchers and entities that manage natural resources can help address these issues. However, numerous barriers impede the advancement of such transfer, particularly between organizations that do not operate in a profit-oriented context and for which best practices for university-industry collaborative engagement may not be sufficient. Frameworks designed around environmental KT – such as the recently-developed Research-Integration-Utilization (RIU) model – can be leveraged to address these barriers. Here, we examine two examples in which NASA Earth science satellite data and remote-sensing technology are used to improve the management of water availability and quality. Despite differences in scope and outcomes, both of these case studies adopt KT and TT best practices and can be further understood through the lens of the RIU model. We show how these insights could be adopted by NASA through a conceptual framework that charts individual- and organizational-level integration milestones alongside technical milestones. Environmental organizations can learn from this approach and adapt it to fit their own institutional needs, integrating KT/TT models and best practices while recognizing and leveraging existing institutional logics that suit their organization's unique history, technical capability and priorities.

Influence of natural and anthropogenic controls on runoff in the Keriya River, central Tarim Basin, China.

The potential impact of natural factors on the runoff of intermittent rivers and ephemeral streams (IRES) has been largely ignored in the Tarim Basin, China. A representative example is the Keriya River. To quantify the long-term dynamic variations in lower reach surface runoff of IRES, river length, defined as the distance between a selected fix point along the perennial river segment to its dynamic, ephemeral end, was used as an indicator. Using a total of 272 remote sensing images, we digitized and measured the distance (river length) between the center of Yutian County and the river’s end point on each image, and then calculated monthly inter-annual and intra-annual variations in length of the lower Keriya River from 2000 to 2019. Hydrometeorological data were combined with descriptors of anthropogenic disturbances to assess the relative influence of natural factors and anthropogenic disturbances on lower reach river runoff. The results showed that intra-annual variations in river length fluctuated seasonally, with the minimum value occurring in June; two main peaks occurred in March and August. The minimum June value in river length was closely linked to an increase in agricultural water demand and a decrease in upper reach runoff. The August peak in river length was related to the peak values in upper reach runoff and agricultural water demand; upper reach runoff made a significant contribution because the former was about 20% more than the latter in summer. The March peak corresponded to elevated lower reach groundwater levels and to the melting of ice along river channels. Inter-annual variations in river length were due to inter-annual variations in upper reach runoff and middle reach agricultural water use which increased slightly during the study period. Inter-annual variations in frequency and amplitude of the fluctuations in river length were mainly controlled by changes in upper reach runoff. The minimum in river length in 2009 was consistent with the low in upper reach runoff of the Keriya River and other rivers in the Tarim Basin. The most significant factors controlling variations in river length are natural in origin.

A Copula-based interval linear programming model for water resources allocation under uncertainty

Water scarcity tends to be aggravated by increase in water demand with the trend of socio-economic development. Thus, non-stationary characteristics of water demand should be identified in water resources allocation (WRA) to alleviate the potential influences from water shortages. In this study, a Copula-based interval linear programming model was established for regional WRA. Through combining correlation analysis and an interval linear programming model, this model can: 1) identify interactions between water demand and socio-economic development levels based on Copula functions, 2) explore variations in water shortage with consideration of multiple risk tolerance levels of decision-makers based on Copula sampling, and 3) obtain desired strategies for WRA through an interval linear programming model. Also, Dalian City in China was selected as a case study area to verify the effectiveness of the model for WRA to five water users (i.e., agricultural sector, industrial sector, public service sector, domestic residents, and ecological environment). Considering multiple tolerance levels of decision-makers to water shortage risk, three scenarios (i.e., S1 to S3), indicating 20%, 40%, and 60% of their low, medium, and high tolerance levels, were proposed. The results showed that the correlation between the amount of water demand and indicators of socio-economic development can be described by Clayton and Gaussian Copula functions. The total water supply of Dalian in 2030 would increase by 2.06%–2.65%, compared with the one in 2025. The allocation of water resources across districts was influenced by varied water demand, energy consumption, and risk tolerance levels. Compared with the amount of water allocation in 2025, the contribution of transferred water sources would increase by 6.71% and 7.04% under S1 and S2 in 2030, respectively, and decrease by 14.31% under S3. With the increase of risk tolerance levels of decision-makers, the amount of water supply in Dalian City would gradually decrease.

Impact of drought and salinity on olive potential yield, oil and fruit qualities (cv. Chemlali) in an arid climate

The increase water demand for irrigation is leading to the use of low-quality water resources. The combined impact of drought and salinity on olive production sustainability, yield quality, growth, soil salinity and soil water conditions in arid areas has been little investigated. This study’s purpose was conducted to investigate the effects of the monitoring of saline water irrigation on soil properties and olive trees (cv. Chemlali) grown in an arid region of Tunisia (Sfax), on the potential yield, growth and quality of the resultant virgin olive oil in comparison to Rain-fed conditions. It is also intended to compare olive productive performance during a severe drought with, and without, irrigation and to assess recovering capacities after long driest period. Three irrigation levels were considered: (i) Full irrigation (100%ETc) with saline water 7.5 dS m-1 (FI); (ii) Full irrigation with same amount of water than the FI applied with tap water 2.46 dS m-1 (TW); and (iii) Rain-fed conditions (Dry). The results have showed that irrigation with saline water maintained the soils permeability, induced the distribution of salts outside the root zone. Additionally, it has maintained an adequate hydration of the rhizosphere through continuous and efficient leaching of salts to deep horizons. After drought period, the increase of the yield of rain-fed trees indicated 50% of recovery as compared to saline water. Irrigation with saline water reduced this gap due to drought impact. But it was 50% under that tap water; while reduction was 15% as a reduction capacity of potential yield. Hence, drought and salt stress alter the olive tree capacity and potential yield in an irreversible way if their severity is very intense. As salinity increased, there was a desirable sink in measured total phenols and flavonoids levels and a rise of oleic and linoleic acids as compared to rainfed conditions. For the triglycerides composition, triolein (OOO) was present in very large quantity in three oils, with a high content for FI (23.94%). Saline water treatment did not affect free acidity, peroxide value, K232, K270, chlorophyll, carotenoids, in contrast to Rain-fed treatment which was decreased. Olive trees permanently lost less than half of their potential yield during drought without irrigation. Irrigation with saline water seems to ensure sustainable monitoring olive yield and oil quality.

Reservoir operation rule in semiarid areas: The quantity-quality approach

The increase in water demand in association with the degradation of water quality can result in conflicts between users, especially in semi-arid regions where reduced flow is likely during long periods of drought. In these regions, reservoirs are normally operated to ration water, according to the level of water stored, in order to reserve this water to supply the demands of a future drought, i.e., using the Zone-based Guide Curve method. However, the quality of the water is also important because eutrophication in reservoirs limits the use and availability of water. The aim of this study was to use the quantity-quality approach to define the operating rule for four reservoirs in the semi-arid region of Brazil, with the aim of providing satisfactory supply to users while reducing water scarcity and eutrophication in the reservoirs. Scenarios of supplying the demands were simulated and optimized with the use of the Multiobjective Genetic Algorithm, NSGA-II. The results showed that the application of the Zone Hedging Rule (ZHR), considering only the quantitative approach, was able to guarantee the priority demands and reduce the water scarcity for non-priority requirements. However, by only using the quantitative approach the reservoirs did not meet the quality criteria required by Brazilian legislation. Applying the ZHR with a quanti-qualitative approach considering more favorable water quality conditions, the reservoirs were able to supply the demands with satisfactory quantity and quality; however, when the phosphorus concentration is high, a severe rationing of demands is triggered, which may not be viable, especially in reservoirs with greater demands in relation to the regularized flow and the average annual input flow. Therefore, actions are required to reduce nutrient concentrations in reservoirs, in addition to optimizing operating rules.

South Asian agriculture increasingly dependent on meltwater and groundwater

Irrigated agriculture in South Asia depends on meltwater, monsoon rains and groundwater. Climate change alters the hydrology and causes shifts in the timing, composition and magnitude of these sources of water supply. Simultaneously, socio-economic growth increases water demand. Here we use a high-resolution cryosphere–hydrology–crop model forced with an ensemble of climate and socio-economic projections to assess how the sources of irrigation water supply may shift during the twenty-first century. We find increases in the importance of meltwater and groundwater for irrigated agriculture. An earlier melt peak increases meltwater withdrawal at the onset of the cropping season in May and June in the Indus, whereas increasing peak irrigation water demand during July and August aggravates non-renewable groundwater pumping in the Indus and Ganges despite runoff increases. Increasing inter-annual variability in rainfall runoff increases the need for meltwater and groundwater to complement rainfall runoff during future dry years.

A Unified Hydrogeological Conceptual Model of the Mexico Basin Aquifer after a Century of Groundwater Exploitation

The Mexico City Metropolitan Area, located within the Mexico Basin, is the most important economic center in Mexico. An ever-growing population, currently at 22 million with increasing water demands, has resulted in the overexploitation of groundwater with associated impacts to hydrological conditions for a century. Land subsidence due to chronic groundwater level declines has damaged infrastructure and increased water delivery and flood control challenges, causing loss of aquifer storage. An additional associated problem is groundwater quality deterioration, which reduces potable supplies due to increasing anthropogenic pollution and salinization. A new integrated conceptual model of the Mexico Basin Aquifer has been constructed based on a comprehensive compilation of existing and new hydrogeological knowledge. As a result, this conceptual model updates and improves the understanding of the characteristics of the aquifer and current hydrodynamic behavior of groundwater. Four hydrogeological units were identified, their heads and related flow system interdependencies were evaluated and their hydraulic properties associated; this allowed identifying local, intermediate and regional flow systems, aquifer transition from confined to unconfined conditions, changes to land subsidence and groundwater quality deterioration. This conceptual model could be the basis in building a numerical model, and as a powerful tool to test different management scenarios for decision-making.

Water neutrality framework for systemic design of new urban developments

The climate emergency and population growth threaten urban water security in cities worldwide. Growth, urbanisation, and changes to way of life have increased housing demand, requiring cities such as London to increase their housing stock by more than 15% over the next 10 years. These new urban developments will increase water demand, urban flood risk, and river water pollution levels; therefore, an integrated systems-based approach to development and water management is needed. Water Neutrality (WN) has emerged as a concept to frame the concerns about escalating water stresses in cities. We frame WN as a planning process for new urban developments that aims to minimise impacts on urban water security and offset any remaining stresses by retrofitting existing housing stock. In this work, we present a novel systemic design framework for future urban planning called CityPlan-Water, which guides how WN might be achieved to tackle current and future water pressures at a city scale. CityPlan-Water integrates spatial data with an integrated urban water management model, enabling urban design at a systems level and systematic assessment of future scenarios. We define a Water Neutrality Index that captures how successful a given urban planning scenario is in achieving WN and how multiple interventions could be combined at a city scale to improve WN. Results from CityPlan-Water suggest that it will be necessary to retrofit almost the same number of existing homes with WN design options to completely offset the impact imposed by proposed new developments. Combining options such as water efficient appliances, water reuse systems, and social awareness campaigns can offset the impact of new development on water demand by 70%, while to neutralise potential flood risk and water pollution at a city scale, interventions such as rainwater harvesting and Blue Green Infrastructure need to be added both in new urban developments and 432,000 existing London households. We see CityPlan-Water as a tool that can support the transition of urban planning towards using data-driven analysis to effectively design water neutral housing and drive sustainable development.

Effect of Recharge and Abstraction on Groundwater Levels

Groundwater constitutes 99% of all liquid freshwater globally that is available for human use. Groundwater levels in the Nairobi aquifer system (NAS) have been declining over time because of excessive abstraction fueled by increased water demand. This has increased the cost of pumping and drilling boreholes, which is unsustainable. The objective of this study is to determine the effect of recharge and abstraction on groundwater levels using a more realistic approach by estimating recharge using the SWAT model while considering climatic data, soil type, land use/cover, and topography. Recharge obtained from SWAT was applied in MODFLOW to model the groundwater system. Results showed that the average annual recharge was 73 mm, which is about 9.7% of the precipitation. Groundwater levels decreased with an increase in abstraction and a decrease in recharge and vice versa. Groundwater levels will decrease by 76 m by the year 2063 if the abstraction rate is kept constant and the recharge is maintained, and will decrease by 14m by the year 2030 if the trend of abstraction rate continues to increase while recharge is kept constant. The abstraction rate should be regulated according to available recharge and recharge enhanced to avoid possible depletion of groundwater. Doi: 10.28991/CEJ-2022-08-05-05 Full Text: PDF

Utilizing hydraulic modelling and Geographical Information System (GIS) in developing a water distribution network for reclaimed water

Rapid development has increased water demand, combined with population growth, water scarcity, climate change, and rapid economic growth, are driving factors for water reclaim. This paper reviews previous research on developing a water distribution system for delivering reclaimed water in order to mitigate the industry’s growing water demand. As a result, reclaimable wastewater should be identified in order to establish links between urban and industrial infrastructure planning and water reclamation. Correspondingly, it is tasked with the responsibility of developing low-cost water treatment for industrial water reclamation. Simultaneously, a reliable water distribution network is required to deliver reclaimed water. This can be accomplished through the use of hydraulic modelling and GIS to analyse, manage, and develop the water distribution network in response to a growing supply demand. Hydraulic modelling is used to calculate and analyse the demand for the water supply over a specified time period based on daily water use. Additionally, it computing the appropriate parameter for the pipeline in order to deliver an adequate amount of pressure to the consumer efficiently. The developed hydraulic model was then integrated into GIS to facilitate the network layout and visualization of the water distribution system. Apart from that, in order to fully implement the concept of reclaimed water and its delivery via a water distribution system, several factors must be considered, including public acceptance, economic viability, environmental stewardship, technical operation, and health risk.

Life Cycle Assessment for Tertiary Wastewater Treatment and Reuse versus Seawater Desalination

Wastewater reuse is now indispensable for meeting the increasing water demand, particularly under conditions of alarming water scarcity, which is now already affecting every continent. The objective of this study is to apply life cycle assessment (LCA) to evaluate the environmental impact and missed opportunity of treating municipal wastewater to tertiary quality and compare it to conventional seawater desalination in the Gulf Corporation Council (GCC) countries, namely: Multistage flash distillation (MSF), multi-effect distillation (MED) and seawater reverse osmosis (SWRO). The study follows the ISO 14040/44 standards and uses a functional unit of 1 Mm3 of tertiary treated effluent (TTE). The modeling concept adopts the cradle-to-gate consequential paradigm. The life cycle inventory is based on fielded data collection, reports, literature and Ecoinvent database processes. The scope includes: infrastructure, grid, materials, energy requirements, chemical additives and sludge disposal; for primary, secondary and tertiary treatment. The life cycle impact assessment is applied on both the characterized and normalized levels using the ReCiPe method. Compared to distillation, TTE exhibits an average reduction of 94% in fossil depletion. For climate change and particulate matter, an average reduction of 79% and 73% can be realized respectively. The large difference is due to energy consumption in desalination, despite that fact that the energy considered is only the allocated portion to distillation in the cogeneration total, using exergy specific power consumption.

Gum Arabic as an Admixture in Modified Concrete Mixed with Calcined Kaolin

The use of calcined kaolin (CK) as a cementitious material in construction has attracted the interest of various researchers due to its environmental, mechanical, and physical qualities, all of which contribute to the lowering of cement usage. Studies have reported numerous problems associated with its use in concrete, apart from the ecological benefit that CK can provide. For instance, there is an issue of increased water demand due to smaller particle size, which generates much more heat in concrete, which has a detrimental effect on the mechanical and physical properties of concrete. This paper presents the analysis of an investigation aimed at using gum Arabic (GA) as a biopolymer admixture and calcined kaolin as a partial replacement of cement to improve the mechanical properties and durability of concrete. GA proportions ranged from 0 to 1% by weight of cement. Calcined kaolin (CK) was used to replace 5, 10, 15, 20, 25, and 30% of the cement content, respectively. Compressive strength, splitting tensile strength, density, strength loss, and weight loss tests were all performed to validate the structural performance of the modified concrete. The compressive tests, performed after 28 days from the time the mixture was made, demonstrated that the maximum percentage of CK that could replace cement without affecting the mechanical properties of concrete was 20%. Beyond 20%, concrete does not exhibit good compressive strength properties. The results also revealed decreased compressive strength and splitting tensile strength tests as the percentage of CK increased. After 56 days, compressive strength at 5% CK and 10% CK increased slightly by 0.743% and 1.162 %, respectively, compared to the control sample. The inclusion of 0.8%GA increased the compressive strength by 8.94% compared to the control sample (0%CK + 0%GA + 100%OPC) after 56 days. The results of durability tests showed that 0.6% GA had a higher compressive strength than other percentages containing GA. Doi: 10.28991/CEJ-2022-08-05-010 Full Text: PDF

Decoupling of Water Production and Electricity Generation from GDP and Population in the Gulf Cooperation Council (GCC) Countries

Although the Gulf Cooperation Council (GCC) countries are in an arid region with limited water resources, the per capita water and electricity consumptions are high, at 560 L/capita/day and 7000–18,000 kWh/year, respectively. Although macroscale parameters (e.g., GDP and population) have been assumed to be correlated with water and electricity demand, this study aims to verify whether this assumption still holds true. As opposed to the previous literature, this study reveals that, although water production and electricity generation had been correlated with GDP and population for years, they have been decoupled from these macroscale parameters since 2015. Such decoupling can be explained by the three phases of economic development. In the initial stage, GDP and population growth promoted rapid increases in water and electricity demands, which came down in the second stage as the consumers became satisfied with water and electricity supplies. In the third stage, the water and electricity demands were decoupled from GDP and population due to demand-management policies for environmental protection and cost saving, combined with consumers’ efforts, such as water-saving faucets and energy efficiency in homes, which indicates that microscale parameters have become more influential on water and electricity demands than macroscale parameters.

Assessment of non-pressurized electro dewatering of waste activated sludge with graphite electrodes

Changes of physical and chemical characteristics of sludge were investigated with respect to the pH, process time, and applied voltage by means of the electric field treatments. A model reactor with the desired speed was used to generate an electric field to separate water from the sludge without applying pressure. All electrodes mounted on the reactor were produced from graphite. Two different distances between anode and cathode (2.3 cm and 4.3 cm) were used to examine the effects on dewatering capacity of sludge. Differentiations of dependent variables inferred from the experimental processes were also surveyed by Box-Behnken experimental design. The water in the sludge was separated effectively when the samples were exposed to an electric field. The total solid increased from 1.07% to 6.60% at pH 6.5 when sludge was exposed to 25 V for 60 min. Furthermore, the optimum distance between electrodes was 2.3 cm for dewatering of sludge samples, where the capillary suction time of influent sludge was observed to decrease by approximately 85.5% at raw sludge pH. Similarly, the viscosity parameters decreased by approximately 99%. There was an increase in the soluble chemical oxygen demand, PO4-P, and NH4-N concentrations of water discharged from the model reactor.

Assessment of household water consumption during COVID-19 pandemic: a cross-sectional web-based study in India.

The fatal novel COVID-19 creates precarious threats to humans through speedy diffusion. This virus not only disrupts human health but also makes multidirectional loss and slowdown of modern earth. Almost all countries strictly imposed lockdown and social distancing norms to prevent the infection of COVID-19 virus. In almost all parts of the world, people are using more water for washing, cleaning, bathing and hand washing practices. As a result, per capita water demand along with expenditure have been significantly increased. The principal objective of this study is to evaluate the household level water consumption status and to improve the water security with management for future. The current study has been conducted among the general population of India to assess household level water consumption through internet E-Surveys Google form from August 18 to September 8, 2020. Around 1850 respondents have sent their comments from different sites (rural and urban areas in various climatic regions) of Indian subcontinent. The results show the tremendous increase of water usage along with electrical consumption and expenditure during COVID-19 pandemic situation. Our results revels that 10%, 15% and 17% of higher water consumption per day in rural, urban and peri-urban residential respectively. We hypothesize that the reasons for the increasing water demand and household consumption per day may be found in changed behavioral routines through bathing, washing clothes, and hand washing practices. This web-based study also suggests that few alternative and dependable management techniques i.e. rain water harvesting can be installed to fight the crisis and for the sustainable future. Subsequently, research and development are highly required for long-term management of water resources or reuse of water.

Projections of the Net Primary Production of Terrestrial Ecosystem and Spatiotemporal Responses to Climate Change in the Yangtze River Economic Belt

Evaluating the responses of net primary productivity (NPP) to climate change is essential for regional ecosystem management and adaptations to climate change. The Yangtze River Economic Belt (YREB) is a key ecological functional area and hotspot of carbon sequestration in China due to the high degree of forest coverage. We used a process-based ecosystem model to project terrestrial NPP and analyzed the response to climate change over the 21st century in the YREB under two representative concentration pathway (RCP) scenarios using the regional climate model. The results show that the projection of NPP generally increased by 13.5% under RCP4.5 and 16.4% under RCP8.5 in the middle of the century, by 23% under RCP4.5, and by 35% under RCP8.5 in the late term of the century compared with that from a reference period of current climate conditions (1985–2006). The rate of NPP change under the RCP8.5 scenario is higher than that under the RCP4.5 scenario. Similarly, the NPP is also projected to increase both with 1.5 and 2 °C global warming targets in the YREB. The magnitudes of NPP increment are approximately 14.7% with 1.5 °C and 21% with 2 °C warming targets compared with the current climate, which are higher than the average increments of China. Although NPP is projected to increase under the two scenarios, the tendency of NPP increasingly exhibits a slowdown after the 2060 s under the RCP4.5 scenario, and the growth rate of NPP is projected to drop in more than 31% of regional areas with the additional 0.5 °C warming. In contrast, under the RCP8.5 scenario, the trend in NPP keeps rising substantially, even above 2 °C global warming. However, the NPP in some provinces, including Jiangxi and Hunan, is projected to reduce at the end of the 21st century, probably because of temperature rises, precipitation decreases, and water demand increases. Generally, the NPP is projected to increase due to climate change, particularly temperature increase. However, temperature rising does not always show a positive effect on NPP increasing; the growth rate of NPP will slow down under the RCP4.5 scenario in the mid-late 21st century, and NPP will also reduce by the end of this century under the RCP8.5 scenario in some places, probably presenting some risks to terrestrial ecosystems in these areas, in terms of reduced functions and service decline, a weakened capacity of carbon sequestration, and reduced agricultural production.

PROSES OPTIMASI DESALINASI DAN DEMINERALISASI UNTUK MENJAMIN KUANTITAS DAN KUALITAS AIR PROSES DAN DOMESTIK DI PT INEOS AROMATICS INDONESIA

Enhancement Purified Terephthalic Acid (PTA) production capacity from 500,000 tons/year to 576,000 tons/year resulted in increase of water demand, so an optimization process for desalination and demineralization units is needed. This research aims to find how the desalination and demineralization optimization process is carried out to ensure the quantity and quality of water at PT INEOS Aromatics Indonesia. The research method used is descriptive qualitative by conducting literature studies, observing the optimization of desalination and demineralization processes, interviews and laboratory testing of water samples. The result of this research is that the desalination and demineralization optimization process has been successfully, with quantity of desalt water product is 197 tons/hour. Parameters for the production process, namely conductivity 0.8 µs/cm, copper (Cu2+) 0.005 ppm, sulfate (SO2-) 0 ppm, silica (SiO2-) 0 ppm and for domestic, namely temperature 30.8 oC, color 9 TCU, pH 6.8 ppm, odorless, tasteless, hardness (CaCO3) 0 ppm, turbidity 0.05 NTU, total dissolved solids (TDS) 0.8 ppm, nitrit (NO2-) 0 ppm, nitrate (NO-) 0.009 ppm, escherichia coli 0 CFU/100ml and total coliform 0 CFU/100ml. These values meet the quality standards set by the Amoco Research and Development and Minister of Health Regulation Number 32 of 2017.

Impact of Rainfall Trend on Irrigated Agriculture of Narayanapura Command in a Semi-Arid Region of South India

Water demands have been exacerbated by the uncertainty in rainfall occurrences and distribution due to various factors in a changing climate and growing population. The irrigation sector has the highest water demand, accounting for 85 percent of total water use in Karnataka. Rainfall plays a critical part in meeting irrigation needs. To effectively allocate and manage water resources for command area management, examining rainfall patterns, distribution of rainfall trends, both regional and temporal variations is necessary. Hence, the primary focus of this research is to investigate the impact of rainfall trends on agricultural water requirements for a typical study area in semi-arid region.
 To assess the rainfall trend, time-series statistical trend tests called Mann–Kendall (MK) test and the Innovative Trend Analysis (ITA) approach are used to examine the spatio-temporal distributions of long-term rainfall patterns for the Narayanapura command region. The results are then geo-processed to examine the spatial distribution of trends using the isohyetal concept. The findings illustrate the spatial distribution of rainfall trend for the command in a semi-arid region on a monthly, monsoon, and annual basis.
 Spatio-temporal analyses from both methodologies indicates the trend in rainfall pattern is decreasing annually and in monsoon months, with a rising trend for pre-monsoon showers. The trend variation pattern also reveals periodic oscillation alignment in the direction of south-west monsoon movement. According to MK test results, monsoon rainfall is anticipated to decrease by 12 percent by 2047, and by 21 percent from ITA results. Further, impact analysis indicates that, for every unit millimeter of rainfall deficit, there would be a 62 Ha-m increase in irrigation water demand.

The Impact of Climate Change and Soil Classification on Benzene Concentration in Groundwater Due to Surface Spills of Hydraulic Fracturing Fluids

Hydraulic fracturing drilling technology can cause a high risk of surface spill accidents and thus water contamination. Climate change together with the high water demand and rapid increase in industrial and agricultural activities are valued reasons why we should all care about the availability of water resources and protect them from contamination. Hence, the purpose of this study is to estimate the risk associated with a site contaminated with benzene from oil spillage and its potential impact on groundwater. This study focused on investigating the impact of soil variability and water table depth on groundwater contamination. Temperature-dependent parameters, such as soil water content and the diffusion of pollutants, were considered as key input factors for the HYDRUS 1D numerical model to simulate benzene migration through three types of soil (loamy, sandy clay loam, and silt loam) and evaluate its concentration in the water aquifer. The results indicated that an anticipated increase in earth’s average surface temperature by 4 °C due to climate change could lead to a rise in the level of groundwater pollution in the study area by 0.017 mg/L in loamy soil, 0.00046 mg/L in sandy clay loam soil, and 0.00023 mg/L in silt loam soil. It was found that climate change can reduce the amount of benzene absorbed from 10 to 0.07% in loamy soil, 14 to 0.07% in sandy clay loam soil, and 60 to 53% in silt loam soil. The results showed that the soil properties and solute characteristics that depend on the temperature have a major and important role in determining the level of groundwater pollutants.