eChapters

Introduction 
There are terrible consequences of climate change for the planet and all human endeavors. According to statistics provided by the Bureau of Social and Economic Affairs which indicate the rate of increase in global human population is frightening; by 2050 (Rebello et al., 2010), the population is expected to surpass 9.8 billion people. Thus, throughout the course of 30 years from now, the community will encounter several issues that will threaten the survival of the majority of living things on Earth. These issues include the shortage of energy, global warming, greenhouse effects, poisonous gas emissions, and abrupt changes in the environment. The usage of natural fuels as our primary source of energy has raised issues in international scientific organizations, which are working to address one of the key causes of these problems (Zhu et al., 2016). The one method to address the issue is to find an environmentally sustainable fossil fuel replacement that can meet the world’s expanding energy needs (Dincer et al., 2000). Biofuels are one of the viable options and it is an alternative to fossil fuels since they are affordable and harmless to the surroundings (Ma et al., 2014). Various countries around the world are utilizing them to partially substitute the consumption of natural fuels. For example, Brazil uses sugarcane, while parts of Asia and Europe primarily rely on palm oil for production. In the case of biofuels made from microalgae, the United States, Brazil, China, and Japan are the biggest producers. Currently, biofuel generation predominantly relies on three distinct generations of raw organic resources, as outlined by Zhu et al. (2016) and Brennan et al. (2016). These groups represent different sources and technologies utilized to produce biofuels on a global scale. Biofuels classified as first-generation are those derived from feedstocks that are suitable for human intake, such as wheat, sugarcane, maize, palm oil, and sugar beet. Biofuels classified as secondgeneration are derived from lignin and cellulosic feedstock, which consists of non-food crop portions including husks, stems, and leaves that are often thrown away (Kalnes et al., 2007 ; Naik et al., 2010 ; Zhu et al., 2016). However, these biofuel sources can partially fulfill the world’s energy demands. One method to overcome this limitation involves third-generation biofuels, which are generated by cultivating single-celled photosynthetic microorganisms capable of converting carbon dioxide and sunlight into biomass and lipid molecules used in biofuel production (Abomohra et al., 2017).

Introduction 
The creation of molecular-scale machinery and gadgets at a few nanometers (10^-9 m), known as nanotechnology, has a substantial impact on this topic and dramatically reduces the size of a cell. To assess how nanoparticles affect the synthesis and production of biofuels, particularly biodiesels, a variety of nanomaterials, including nanofibers, nanotubes, and nanometals, are being used (1). Research on biodiesel has shown that utilizing nanotechnology and nanomaterials can be a useful approach to implementing low-cost techniques that improve manufacturing quality. Because of their tiny size and special qualities, such as a high surface area-to-volume ratio, catalytic activity, considerable crystallinity, adsorption capacity, and stability, nanoparticles (NPs) are useful in the generation of biodiesel (2). Because of their high potential recovery properties, metal oxide nanoparticles and carbon nanotubes are frequently used as nanocatalysts in the synthesis of biofuel and biodiesel (3, 4).This chapter critically evaluates the application of nanotechnology in the manufacturing and enhancement of biodiesel, addressing key challenges and potential advancements. Microalgae have been identified as a potentially useful feedstock for biodiesel production. The process of harvesting microalgae can be made much more efficient by employing a range of nanoparticles. Additionally, cost-cutting is facilitated by the recycling of nanomaterials and their incorporation into procedures including cell disruption, extraction, and harvesting. Furthermore, an array of nanocatalysts holds promise for enhancing the efficiency of biodiesel conversion (5). Classification of nanoparticles based on physical attributes as shown in (Fig.1). However, there is a growing emphasis on improving combustion efficiency and reducing harmful emissions in the engine industry and its associated fields. Several studies indicate that the introduction of nanoadditives into blends of diesel and biodiesel fuels has yielded significant results.

Citizen science has emerged as a powerful tool for monitoring and managing pests and diseases in agriculture. The concept of citizen science involves the active participation of citizens in scientific research, often through collaborative efforts with professional scientists. In the context of agriculture, citizen science offers a unique opportunity for farmers, gardeners, and other stakeholders to contribute to the monitoring and management of pests and diseases. Traditionally, pest and disease monitoring and management in agriculture have relied heavily on professional scientists and extension agents. While these experts play a critical role in providing guidance and support to farmers, they often face limitations in terms of resources, capacity, and geographical reach. Citizen science offers a way to bridge these gaps by leveraging the collective knowledge, expertise, and observational power of citizens (Fig.9.1).
In agriculture, citizen science can be applied in various ways to support pest and disease monitoring and management. For example, farmers and gardeners can be trained to recognize and report pests and diseases, providing valuable data on the distribution, prevalence, and impact of these organisms. This information can be used to inform management decisions, such as the application of pesticides or other control measures. Citizen science can also be used to support the development of integrated pest management (IPM) strategies, which aim to minimize the use of chemical pesticides and other harmful practices. By engaging citizens in the

Introduction

Since the dawn of the civilization when mankind started agriculture, soil erosion has been the single largest environmental problem and has remained so till date (Sullivan, 2004). This is so because removal of the topsoil by any means has, through research and historical evidence, been severally shown to have many deleterious effects on the productive capacity of the soil as well as on ecological wellbeing. Doran and Parkin (1994) captioned the impact of soil erosion in their popular maxim that “the thin layer of soil covering the earth’s surface represents the difference between survival and extinction for most terrestrial life”. Soil degradation implies decline in its capacity to provide ecosystem services (ESs) of interest to humans and useful to nature’s functions. Principal processes of soil degradation are erosion, salinization, nutrient and carbon (C) depletion, drought, decline in soil structure, and tilth. Examples of ESs provided by soil include ecological/supporting (biomass production, nutrient cycling), regulating (water purification and flow, C sequestration, temperature fluctuations), provisional (food, fiber, fuel, and forages), and cultural (aesthetical, spiritual, and cultural). Erosion-induced degradation diminishes soil’s capacity to provide ESs, and support ecosystem functions.

Although fertile top soils could be lost when scraped by heavy machineries (Ngwu et al., 2005), the key avenues of topsoil loss include water erosion and wind erosion. Sometimes erosion can be such gradual for so long a time as to elude detection in one’s lifetime, thus making its adverse effects hard to detect. Eswaran et al., (2001) propose an annual loss of 75 billion tons of soil on a global basis which costs the world about US $400 billion per year. A review of the global agronomic impact of soil erosion identifies two severity groups of continents and reveals that Africa belongs to the more vulnerable group (Biggelaar et al., 2004). Soil erosion by water seems to be the greatest factor limiting soil productivity and impeding agricultural enterprise in the entire humid tropical region. This is evident in many regions of Africa (Dregne, 1990), mainly in the humid and subhumid zones of Sub-Saharan Africa (SSA) where population pressure and deforestation exacerbate the situation and the rains come as torrential downpours, with the annual soil loss put at over 50 t ha⁻¹ (FAO, 1995).

Weather forecasting is the application of science and technology to predict the state of the atmosphere for a given location. Weather forecasts are made by collecting quantitative data about the past and current state of the atmosphere on a given place and using scientific understanding of atmospheric processes to project how the atmosphere will evolve on that place. Weather warnings are important forecasts because they are used to protect life and property. Forecasts based on temperature and precipitation is important to agriculture.

Agricultural production is highly dependent on weather, climate and water availability, and is adversely affected by weather and climate related disasters. In many developing countries where rainfed agriculture is the norm, a good rainy season means good crop production, enhanced food security and a healthy economy. Failure of rains and occurrence of natural disasters such as floods and droughts can lead to crop failures, food insecurity, famine, loss of property and life, mass migration, and negative national economic growth (Sivakumar, 2006).

Farming in many parts of the world, especially in the arid and semiarid regions is risky, because climate is highly variable. In some developing countries as much as 80% of the variability in agricultural production is due to the variability in weather conditions. This production variability in agriculture has immediate and important macroeconomic impacts. A timely seasonal forecast of favourable conditions could permit farmers to adjust cropping patterns and input use in order to benefit fully from these conditions. Also, a timely forecast could give the marketing system and downstream users, such as the food processing industry, time to prepare for a bountiful harvest (Arndt et al., 2000). It is important to remember that under rainfed conditions, even a less reliable, but earlier forecast may be more valuable than an accurate but late forecast (Mjelde et al., 1998).

Agriculture has long been at the mercy of the weather, and in today’s datadriven world, harnessing meteorological information is more critical than ever. Weather intelligence—the process of collecting, analyzing, and disseminating weather data—supports decision-making in diverse fields such as aviation, transportation, emergency management, and especially agriculture (Fig 3.1). This chapter explores how advanced data acquisition methods and robust database management techniques underpin agricultural weather intelligence. It covers the variety of data sources available, details strategies for integrating and ensuring the quality of vast datasets, and examines the forecasting techniques that transform raw data into actionable insights for precision forecasting and decision making in food production. Fig. 3.1. Weather Data Acquisition System In this chapter, we not only discuss the technological means by which weather data is collected—from satellites, ground sensors, and IoT networks—but also dive into the structure of weather databases. These repositories house surface weather observations, radar and satellite imagery, upper air measurements, and outputs from weather models. Further, we outline the different forecast types and forecasting methodologies that are essential to interpreting this data, ranging from nowcasting for immediate weather conditions to seasonal forecasting that supports long-term planning. Finally, the role of big data analytics in supporting precision forecasting and optimizing decision-making in agricultural production is examined, highlighting the integration of advanced techniques like numerical

Many aspects of the global climate are changing rapidly. Evidence for changes in the climate system abounds, from the top of the atmosphere to the depths of the oceans. The climate system is the highly complex system consisting of five major components; the atmosphere, the hydrosphere, the cryosphere, the land surface and the biosphere, and the interactions among them. The climate system evolves in time under the influence of its own internal dynamics and because of external forcings such as volcanic eruptions, solar variations and human-induced forcings such as the changing composition of the atmosphere and land-use.

The term ‘climate variability’ is often used to denote deviations of climatic statistics over a given period of time (e.g., a month, season or year) from the long-term statistics relating to the corresponding calendar period. In this sense, climate variability is measured by those deviations, which are usually termed anomalies.

‘Climate change’ refers to a statistically significant variation in either the mean state of the climate or in its variability, persisting for an extended period (typically decades or longer). Climate change may be due to natural internal processes or external forcings, or due to persistent anthropogenic changes in the composition of the atmosphere or in land use. The United Nation’s Framework Convention on Climate Change (UNFCCC) defines ‘climate change’ as ‘a change of climate behaviour which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods’. The UNFCCC thus makes a distinction between ‘climate change’ attributable to human activities altering the atmospheric composition, and ‘climate variability’ attributable to natural causes. Climate change is a long-term shift in weather conditions measured by changes in temperature, precipitation, wind, snow cover, and other indicators. It can involve both changes in average conditions and changes in variability, including, for example, changes in extreme conditions.

A key difference between climate variability and change is in persistence of ‘anomalous’ conditions. In other words, events that are used to be rare occur more frequently, or vice versa. Occasionally, an event or sequence of events occurs that has never been recorded before, such as the exceptional tsunami in the Indian Ocean in 2004 or hurricane season in the Atlantic in 2005. Yet even that could be a part of natural climate variability. If such a season does not recur within the next 30 years, by looking back it could be called as an exceptional year, but not a ‘climate change’. Only a persistent series of unusual events taken in the context of regional climate parameters can suggest that a potential change in climate has occurred.

ZINC (Zn)

Chandler et al., (1932) deduced the requirement of zinc by plants while working solution for little leaf or “rosette” on peach. Zinc plays significant role in assimilation of NO₃ and for synthesis of tryptophan. Involved in biosynthesis of indole acetic acid which is responsible for f lowering and fruiting, it is an activator of several enzymes (triphosphate dehydrogenase and tryptophan synthetase), involved in photosynthesis and nitrogen metabolism.

Deficiency results in poor growth of the terminal bud. Decrease in stem length resulting in resetting and whorling of leaves. Zinc deficiency disorder in rice is called khaira. Common when zinc availability is < 0.7 ppm. White bud in maize and malformation of fruits, reduction in water uptake. Interveinal chlorosis often with necrosis and pigmentation and reduced leaf size in broad leaved crops known as little leaf and malformation of leaves.

The crops which are known to respond for zinc application are maize, rice, soyabean, castor, onion, barley, wheat, potato, sorghum and cotton

1. Introduction 
The Techno-Economic Analysis (TEA) of nanotechnology-based microalgal biodiesel explores the intersection of nanotechnology and renewable energy production, aiming to assess the economic feasibility and sustainability of integrating nanomaterials into the microalgal biodiesel production process (BlancoCanqui, 2010). As the global demand for sustainable energy sources continues to rise, microalgae have emerged as a promising feedstock for biodiesel production due to their high lipid content and rapid growth rates. Nanotechnology offers innovative solutions to enhance various stages of the microalgal biodiesel production chain, from cultivation and harvesting to lipid extraction and conversion (Moustakas et al., 2020).This introduction provides an overview of the key objectives, methodologies, and implications of conducting a TEA on nanotechnology-based microalgal biodiesel. It outlines the significance of integrating nanomaterials into biodiesel production processes, highlights the potential benefits and challenges associated with nanotechnology adoption, and sets the stage for the subsequent analysis of economic factors and technical considerations (Borowitzka and Moheimani, 2013).The introduction also discusses the broader context of sustainable energy transition and the role of microalgal biodiesel as a renewable alternative to conventional fossil fuels (Gaurav et al., 2017). It emphasizes the importance of evaluating not only the technical feasibility but also the economic viability and environmental sustainability of nanotechnology-enabled biodiesel production methods. By conducting a comprehensive TEA, this study aims to provide valuable insights into the cost-effectiveness, scalability, and market potential of nanotechnology-based microalgal biodiesel, informing strategic decision-making and investment priorities in the renewable energy sector (Gouveia and Oliveira, 2009; McCollum et al., 2018). Through interdisciplinary collaboration and rigorous analysis, the TEA seeks to advance our understanding of the economic and technological factors shaping the future of sustainable biofuel production.

Introduction

North Eastern Himalaya region of India comprises of the states of Arunachal Pradesh, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim and Tripura (Kukreti, 2000) lies between 21.5° N to 29.5° N latitude and 85.5° E to 97.5° E longitude. The total area of the region is 1,83,753 km2 thousand hectares of which about 9,729 ha (52.95%) is estimated to be under various type of forest including fallow land under regeneration in shifting cultivation with 220 different ethnic groups (Moral, 1997) and a total population of 1,01,39,990 (Table 1.) Northeast India is mountainous and a unique ethnic region with typical land tenure system with climate ranging from tropical to alpine type and altitudinal variation from 15 m to 5000 m amsl. Sustainable realizations of equitable livelihood in the region call upon conservation of bio-resources, environmental externalities, management of fragility and social sensitivities. Traditionally several niche based agroforestry systems of harmonizing woody biomass growth, crop production, livestock rearing and micro-enterprising have been evolved and indigenous technical knowledge generated to enhance income, employment and subsistence.

Abstract
 
Mention about the Great Himalayan river of Vedic Period (10000-8000 BC) is found in ancient Indian literature. The river called as ‘Saraswati’ in India and ‘Hakra’ in Pakistan, was flowing with full majesty through Thar Desert around 6000 BC and dried up during 3000 BC due to climatic and tectonic changes in Himalayan region. The relict of this lost river is still found as palaeochannels in this region. Large numbers of archaeological sites of Harappan civilization occur along the dry river bed. 

Abstract

Land degradation is defined as human induced or natural process that negatively affects the lands to function effectively. It is temporary or permanent lowering of the productive capacity of land (UNEP, 1992). Several definitions of land degradation have been suggested by different authorities to express the degree of deterioration in potential of land in terms of physical, chemical and biological aspects. It has both environmental and economic consequences. The information on land degradation is needed for a variety of purposes such as to improve productivity levels in degraded lands through reclamation programmes, rational land use planning and also to bring more areas under cultivation.

Horticultural crops include fruits, vegetables, flowers, plantation crops, spices, aromatic plants and medicinal species. They contribute substantially to nutrition, farm income, employment, exports and livelihood security. However, their productivity and quality are highly sensitive to temperature, rainfall, humidity, drought, flooding, salinity and other climate-related stresses. Changing climatic conditions affect flowering, fruit setting, maturity, nutritional composition, pest incidence and postharvest quality. Annual and perennial crops respond differently depending on their location, growth stage and environmental requirements. This chapter examines the influence of major climatic factors on horticultural production and discusses adaptive practices required to maintain productivity, quality and economic sustainability under changing environmental conditions.

Abstract

In Gadilam river basin, groundwater is found in both hard rock and sedimentary terrain and is the most important source of rural/urban drinking water supply. Gadilam river basin has gained its importance due to the presence of Neyveli Lignite open cast mine (NLC), group of industrial estate (SIPCOT), extensive depressurization of Cuddalore aquifer and boreholes of New Veeranam Scheme (NVS) in the downstream of the basin. A total of 178 water samples were collected in four different seasons at various lithologies. The collected samples were analyzed for various physico-chemical parameters using standard procedures. Geochemical indicators of groundwater were used to identify the chemical processes that control hydrogeochemsitry. Interpretation of hydrogeochemical data suggests that leaching of ions followed by weathering and anthropogenic impact controls the chemistry of the groundwater. Isotopic study reveals that recharge from meteoric source in sedimentary terrain and rock water interaction with significant evaporation prevails in hard rock region. This thorough understanding helps us to make judicial usage and to maintain the quality of this commodity.

Introduction

The inevitability of detrimental effects of climate change is looming large not only on the sustenance of agriculture, but also on the survival and progress of mankind. Estimates by the Organization for Economic Cooperation and Development (OECD) reveal that the atmospheric concentration of GHG would exceed 680 parts per million (ppm) CO₂-equivalents by 2050, which is about 50% higher than baseline year 2010 (OECD, 2012). Additionally, global temperature is predicted to increase by 2°C within this period, resulting in meansea level rise and erraticweather conditions. Consequently, the catastrophic effects on food consumption pattern by the end of 2050 will create malnutrition in at least 290 million people. Agricultural crops provide 63% of the human protein, and additionally supply almost 100% protein to the livestock, which are the second major sources of protein in human diet. Altogether, the detrimental effect of climate change on agriculture would make about 300 million additional people malnourished. Add to that a 2.7 billion increase in human population by 2050, coupled with shortage of water availability that would affect 3.9 billion people by 2050, and one can easily perceive the grim scenario for our kind in not so distant future.

Recent increase in extreme climate events threatens disruptive impacts on both animal and agriculture (Battisti and Naylor, 2009). Climate change is a global phenomenon, but its negative impacts are more severely felt by the poor people in developing countries. Moreover, rural poor communities rely greatly for their survival on animal and agriculture which belong to the most climate-sensitive economic sectors. Climate change is expected to intensify existing problems and create new combinations of risks. The incidences of droughts, snow-storms and blizzard like events have increased rapidly. The situation has further worsened due to factors such as widespread poverty, over dependence on rain-fed agriculture, inequitable land distribution, limited access to capital and technology, inadequate infrastructure, long term weather forecasts and inadequate research and extension. The impact of climate change is expected to heighten the vulnerability of animal systems and reinforce existing factors that are affecting animal production systems in many parts of the world.

1. Introduction 
The growing demand for fossil fuels around the world and their extensive use, which degrades the environment, have been serious issues. More precisely, it is predicted that global energy consumption will rise by 49% between 2007 and 2035 due to social pressure, population growth, and economic expansion (Cheah et al., 2016; Prasad et al., 2016). In order to replace fossil fuels, alternative energy resources must be developed, according to energy security and environmental sustainability. The most promising bio-fuel among the alternatives to gasoline is bio-ethanol, which can be used as the only fuel in compatible automobile engines or blended with gasoline up to 30% without requiring engine changes (Safarian and Unnthorsson, 2018). Bio-ethanol has a higher-octane number, which enables engines to run at high compression ratios, and a high oxygen content, which improves combustion efficiency (Branco et al., 2019). Grain, sugar beets, corn, and sugarcane could all be used to make bio-ethanol. Together, Brazil and the United States account for over 90% of the world’s bio-ethanol production, with 59% and 27% coming from each country, respectively (Branco et al., 2019).The Policy Energy Act and Energy Independence and Security Act, which aim to consume 136 billion gallons of bio-ethanol by 2022, are the main drivers of the USA’s remarkably high production rate (Menon and Rao, 2012; Tran et al., 2019). Unfortunately, the world’s food security is now in jeopardy due to the manufacture of bio-ethanol from the aforementioned edible energy crops. For the synthesis of bio-ethanol, lignocellulosic biomass-such as agricultural residues, forest woody residues, micro-algae, and even municipal solid waste is consequently a more advantageous source. Cellulose, hemicellulose, and lignin make up the lignocellulosic complex structure. While hemicellulose is in charge of binding and 88 | Biofuels Production Using Sustainable Bioprocessing Technologies lignin guarantees the toughness of the entire stricture, cellulose, a polymer made of glucose, gives plants structural support (Kumar et al., 2016; Prasad et al., 2016). According to Tran et al. (2019), pre-treatment is a crucial step in order to: (i) increase the amorphous area to facilitate hydrolysis; (ii) improve the porosity of the porous matrix to facilitate enzymatic and chemical hydrolysis; and (iii) separate cellulose from lignin and hemicellulose. The majority of the most successful pre-treatment techniques now in use are physio-chemical and chemical techniques, which also produce harmful compounds such furfural (Liyamen and Ricke, 2012). Other techniques are also used, each with advantages and disadvantages. For example, biological pre-treatment is environmentally benign but does not generate large amounts of material. Compared to the thermochemical approach, the biochemical conversion process performed better and was more ecologically friendly (Mu et al., 2010; Liyamen and Ricke, 2012; Kumar et al., 2019). It should be mentioned that the pre-treatment cost should also include the expense of detoxifying harmful inhibitors, which are created as a result of the pre-treatment technique (Liyamen and Ricke, 2012). All things considered, a successful pre-treatment ought to be both financially and environmentally responsible. It’s also critical to make sure that other advantageous aspect like maximum energy savings, waste and wastewater recycling, material recovery, and the use of a biorefinery method are taken into account throughout the lignocellulosic bioethanol production process (Kumar et al., 2019). Figure 1. Overview of how ILs typically pre-treat lignocellulosic biomass for the manufacture of biofuel (cheah et al., 2020).

Abstract

Dissolved Organic Carbon (DOC) consisting of water soluble organic molecules and by products of organic decomposition and chemical degradation processes, constitutes a critical link in carbon and nutrient cycles. The quality, or chemical and physical character, of DOC affects the degree to which it is transformed by biological and chemical processes. The significance of DOC was studied in layered coastal aquifers of the Pondicherry region during four different seasons. Pondicherry region has varied geological set up ranging from Cretaceous to Recent formations. A total of 52 groundwater samples were collected from various aquifers like Alluvium, Tertiary(Upper Cuddalore, Lower Cuddalore) and Cretaceous for two different seasons of pre- monsoon(PRM), and post-monsoon (POM). The samples were analyzed for major ions and DOC. The range of DOC in the study area is 0-14 mg/l. Very high DOC concentrations were measured during PRM in the samples from Alluvium and Lower Cuddalore Formation. The samples of these formations were compared with pH, Ionic strength, log pCO₂ and carbonate minerals concentration. The alluvial aquifer shows that pH governed dissolution along the coastal tracts and in Upper Cuddalore formation it’s based on interaction between aquifer matrix and groundwater.

Introduction

Agriculture contributes to 29.93% of India's GDP with a share of 27% of the world's agriculture production. India is ranked 6th in the world. In Rajasthan significant portion of economy of is agrarian. The agriculture sector of the state accounts for 22.5% share of agriculture in GSDP which is estimated to 18.39% in 2009-10. About 80% of the total population resides in rural area and largely dependent on agriculture as the source of their livelihood. The hot arid region of western Rajasthan occupies 61% of the total geographical area and 39.51% population of the state. During the last four decades the burgeoning human and livestock population and increased societal demands for land based products led to  significant expansion and intensification of agriculture by putting even marginal lands under plough, excessive exploitation  of ground water and importing of surface water for irrigation.

Abstract

Groundwater is most favored as a source of drinking water in all over world. It is often thought to be cleaner and easier to treat when compared with surface water and as a result, many wells have been sunk. Uranium and other radionuclides in water can lead to health problems if present in higher concentrations. In order to study the behavior and to understand the influence of lithology in groundwater of Madurai district, a study was conducted by collecting a total of 216 samples of different seasons (Premonsoon, South west monsoon, Northeast monsoon and Post monsoon) with respect to lithology and the number of samples was depending upon their spatial coverage in the study area. The groundwater samples were analysed for U, Ca²⁺, Mg²⁺, Na⁺, K⁺, HCO₃^-, Cl^-, SO₄^2-, PO₄^3-, NO₃^-, F^-, H₄SiO₄, pH, EC, TDS. It was identified that the higher concentration of Uranium (156 ppb) were noted in the northern part of the study area. They are chiefly restricted to the Granitic terrain and nearby Charnockitic regions. The weathering process induces the release of higher U ions from the granitic terrain and the evaporated recharge water from the tank /reservoir  also induces the release of U ions from the rock matrix, it may also be due to fertilizer enriched agricultural return flows. The key source for all these processes and hydrogeochemical processes is identified to be lithology which inturn controls all the other processes in the study area.