eChapters

Climate change is caused by both natural as well as anthropogenic causes and it has been changing since the inception of earth-atmosphere (Figure 2.1). In a broader sense, anthropogenic activities (human activities) also must be considered as natural one in longer time scale as human and their activities are also a part of natural-ecosystem-functions. Among the natural phenomena, volcanic eruptions and continental drifts significantly affect the earth’s precipitation and temperature. A huge volume of CO₂ is released due to volcanic eruption at a little span of time-period which heated up the earth-atmosphere. Climate variability is primarily governed by rise in sea temperature, movement of warm water from the Western Pacific towards Peru, and El Nino which occurs at an intervals of 3-7 years. Climate variability also influenced the alteration in temperature and precipitation world wide. And persistent climate variability cause long term climate change. Therefore, basically three drivers that causes climate change are, the alteration in the energy of sun received by earth-atmosphere (natural causes), variations of ref lectivity of earth-surface- atmosphere system (natural as well as anthropogenic causes) and fluctuations in the greenhouse effect (natural as well as anthropogenic causes).

1.1 Policy Background

Human activities have resulted in the alteration of the composition of our atmosphere triggering change in the Earth’s climate. The world’s population has grown at an alarming rate with a corresponding increase in demand for natural resources, energy, food, and goods. As a consequence of increase in consumption, vast quantities of gases and effluents are discharged that change the composition of the atmosphere and its capacity to regulate its temperature. The rise in the global temperature is caused by the accumulation of the so-called “greenhouse gases”, namely, carbon dioxide (CO₂), methane, nitrous oxide, and chlorofluorocarbons. Energy received from the sun is absorbed as short wavelength radiation and is eventually returned to space as long wavelength infrared radiation. Greenhouse gases absorb the infrared radiation, trapping it in the atmosphere in the form of heat energy.

Introduction 
The world is reaching a crucial moment in the energy sector as the third decade of the twenty-first century unfolds (Azarpour et al., 2022). Concern over the prospects of our energy supplies has increased globally because of the key priorities posed by climate change and the necessity for economic stability and energy security. The transition to energy from renewable sources is widely viewed as a crucial component in transforming our relationship with nature, the economy, and cultural values (O'Connor and Cleveland, 2014; Hassan et al., 2024). Reducing the usage of fossil fuels in our energy supply systems is known as an energy transition (Cherp, Jewell and Goldthau, 2011). Fossil fuels, such as crude oil, and natural gas, supply a substantial share of the world's energy. Interest in energy transitions has grown because, in addition to the fact that most fossilfuel resources are reserve-based, burning the vast amounts of fossil fuels that are currently available, and the resulting environmental effects are the main drivers of energy transitions (Crow, Brown and De Young, 2006). Bioenergy refers to renewable energy produced from materials derived from biological sources. Any organic substance such as plants, agricultural or forestry residues, or the organic portion of industrial and municipal trash that stores solar energy as chemical energy is considered a biomass feedstock. The first energy source that humans employed was biomass, which could supply roughly onefourth of the world's primary energy, or 138 EJ (exajoules) (calculated by averaging estimated numbers from five reports) (Welfle, 2017). Because of its versatility in producing various forms of energy and chemicals, bioenergy is a desirable energy choice for all stages of development. It has a great potential for integration with current infrastructures, may produce energy that may be dispatched to balance changing demands, and most importantly provides energy with lower greenhouse gas emissions compared to fossil fuel pathways, unlike many other renewable energy sources (Demirbas, 2008). It is anticipated that sustainable renewable energy sources, including biomass, sun (heat energy and PV (photovoltaic)), wind, hydroelectricity, geothermal, and wave and tidal energy sources, are expected to play a vital role in the future global energy supply (Panwar, Kaushik and Kothari, 2011). Compared to other sources of sustainable and clean energy, biological feedstock offers the advantage of being able to be stored and being easily accessible year-round from a variety of sources. Estimates suggest that biomass contributed 10% of the global energy demand in 2008 (Main-Knorn et al., 2013), with further advancements expected to increase this contribution by two to six times by 2050 (Zema et al., 2012). It is believed that biomass is a distinctive and promising form of "green" energy. It is abundantly found in nature and can be easily produced in most rural environments (Broda, Yelle and Serwanska, 2022). Biomass sources are generally classified into two categories: inherent and processed materials, the most common forms of sources comprise, wood, logging wastes, animal dung, aquatic plants and algae, agricultural crop waste products and processing residues, and municipal solid waste. Additionally, three categories have been established for biomass resources. Wastes include agricultural remnants, agricultural processing by-products and wastes, urban wood debris, urban organic materials, and wastes from mills. Forest goods include bark, sawdust, logging leftovers, timber, trees, plants, and wood debris from land clearing. Bioenergy crops encompass grasses, fast-growing woody plants, woody herbaceous plants, oilseed plants (soybean, sunflower, and safflower), sugar crops (cane and beet), and starch plants (corn, wheat, and barley) (Qian, Malmali and Wickramasinghe, 2016). Growers favour energy plants, sometimes referred to as

Cellulosic ethanol refers to the production of ethanol, an alcohol fuel, from cellulose found in plant fibers rather than from seeds or fruits. This biofuel can be derived from various sources such as grasses, wood, and other plants. The fibrous components of these plants are mostly from crop residues and other sources indigestible for animals, except for ruminants like cows and sheep, as well as hindgut fermenters like horses, rabbits, and rhinos. The interest in cellulosic ethanol stems from its potential economic value. Plant growth and cellulose formation serve as a mechanism to capture and store solar energy in a chemically stable manner, facilitating easy transport and storage of the resulting supplies. Moreover, the ability of grasses and trees to grow in temperate regions makes cellulosic ethanol commercially viable and offers a potential solution from non-food sources other than grain and tuber starch. This cellulosic ethanol development in the biofuel industry presents an opportunity to derive carbonaceous liquid fuels and petrochemicals, which are vital for our current standard of living, in a balanced and renewable manner by recycling carbon from the surface and atmosphere through any kind of plant orgin or any plant or tree species, Additionally, commercially viable cellulosic ethanol could mitigate the issue associated with conventional biofuels based on grains, which compete with food production and may lead to increased food prices. However, the production of cellulosic ethanol is currently economically feasible and has been implemented on a large scale in India. Several 2G ethanol plants are being developed by companies like Indian Oil Corporation Limited (IOCL), Bharat Petroleum Corporation Limited (BPCL) and Hindustan Petroleum Corporation Limited (HPCL). Different types of biomass contain varying amounts of sugars, and the complexity of the biomass is determined by the structural and carbohydrate components. Plant biomass mainly consists of lignin (13.6-28.1%), cellulose (40.6-51.2%) and hemicellulose (28.5-37.2%), which serve as the raw materials for fuel production. The conversion of biomass into sugars is a crucial step in biofuel production. Therefore, selecting an appropriate pretreatment process based on the biomass type is essential to achieve optimal sugar yield with minimal energy input.

Abstract

The drainage pattern and the architecture are the reflections of not only the tectono fabric of a region, but also the active tectonic processes. From amongst many drainage patterns and anomalies, the eyed drainages, deflected drainages and the compressed meanders interpreted from satellite images for Pudukkottai region of Southern Tamil Nadu infer to reflect the active N-S block faults and NE-SW sinistral and NW-SE dextral faults related to post collision tectonic phenomena.

Introduction

The Geoscientists have long back recognized that the drainages are the reflections of the surface and subsurface lithology, structure and tectano fabric and also the active tectonic movements especially of the Quaternary period (Thornbury, 1985). Hence, the Geoscientists have all along been showing greater interest in mapping the drainage patterns. However, the mapping of the drainage patterns and detection of tectonic features there from have gained greater momentum only after the advent of modern Remote Sensing technology. Since the airborne and satellite borne spectral images have the credentials of showing the drainage pattern, the drainage anomalies and the tectonic features related to them all of which were studied in conjunction to bring out information on the geological history of the Quaternary period by many workers (Vaidyanadhan, 1971; Murthy and Sastri, 1981; Agarwal and Mitra, 1991; Ramasamy, 1991; Saravanavel and Ramasamy, 2014).

Abstract

The strenuous field trekking, inaccessibility, perception of geology only within the visibility range of the eyes etc. have remained matters of major constraints in the past in field based geological mapping. The remote sensing technology not only eradicated these but also provided lot many newer vistas in the field of geology. In addition, the application of such unique technology has brought out a hierarchy of newer concepts in the field of geology. The paper narrates the newer knowledge gathered on the geology of South India in the post remote sensing Era.

Abstract

As the available surface water is too inadequate to fulfill the man’s requirements he was forced to locate newer groundwater reservoirs on one side and to control the fast depleting water table on the other side. As the ancient techniques have failed to give precise models on groundwater targeting, he was to invent and employ newer technologies. Under this scenario the recently invented spatial technology has emerged as a very powerful tool in groundwater targeting and management. The vistas and virtues of such spatial technology in groundwater management have been discussed in this overview paper by citing some case studies from Tamil Nadu, India.

Definitions: Before starting the chapter, it is better to understand the basic definitions of the terms commonly used in this chapter.

Waste: Waste is any material or object which is discarded after its primary use by its holder. A holder means the person who produces and keeps the waste. 

Introduction

India has one of the world’s largest agricultural production areas of land. The net sown area is 140.1 million hectares, the net irrigated area is 49% of this, which is 68.4 million ha as per 2014–15 land-use statistics (Agriculture Research Data Book 2019). While the proportion of Indians employed in agriculture is decreasing, agriculture, along with its allied sectors such as livestock, forestry and fisheries, remains India’s primary source of income. As per the Lok Sabha Standing Committee on Agriculture (2019–20), agriculture and allied industries employed 54.6 percent of India’s total workforce. Approximately 70% of rural households still rely primarily on agriculture for a living. Agriculture and allied sectors’ share of the country’s Gross Value Added (the value of goods and services produced in an area, industry, or sector of an economy) has fallen from 18.2 percent in 2014-15 to 16.5 percent in 2019-20. As per current trends, 60% of India’s population (more than 10% of the world’s population) will face severe food shortages by 2050.

Dryland agriculture limits the crop growth to a part of the year due to lack of sufficient moisture (Peterson et al., 2006). According to the Fourth five-year plan of India, dry lands are defined as areas which receive rainfall ranging from 375 mm to 1125 mm and with very limited irrigation facilities. Dry lands are economically fragile regions which are highly vulnerable to environmental stress and shocks. Degraded soils with low water holding capacities along with multiple nutrient deficiencies and depleting ground water table contribute to low crop yields and further leading to land degradation. In a country like India, 44 per cent of the total food production is supported by dryland agriculture, thereby playing a critical role in nation’s food security. With the increasing population, food production has to be increased. A real need to second green revolution has been envisioned, which can be achieved by improving the dryland agriculture.

Abstract

The coastal zones are very fragile owing to the reason that these form the junction between the continents and the oceans. Further the multivariate tectonic, fluvial, marine and aeolian processes, which vary independently in their degrees and duration in space and time, act in different permutations and combinations with each other and keep on constructing and destroying the landforms along the coasts. Again, as coastal zones are heavily populated; it adds further pressure on the coastal systems. The paper deals about the hierarchy of issues faced by the coastal zones like tectonic emergence and subsidence and it‘s impacts and the ways, means and needs for measuring the rate of such movements; marine regression and the need for the time series models on the land-ocean boundaries for drawing the sea level curve for India, the Quaternary deltas and the essentiality for understanding the mixture of fluvial and marine forces for the possible future forecasting models; back water modifications, the related issues and the demands for the sediment-chemo dynamics modelling; disaster vulnerabilities and mapping methodologies etc; all using the unexplored vistas of Geomatics technology. The concept has been explained by taking Tamilnadu coast as the reference region.

Introduction

The coastal zones are always fragile as these are formed by the tectonic, fluvial, marine and aeolian processes, which act independently in varying degrees and duration and occur cumulatively in different permutations and combinations along the different parts of the coasts. In addition to such inherent fragility, the coastal zones stand vulnerably exposed to various natural and anthropogenic disasters like seismicity and earth movements, tsunamis, floods, sea level rise, cyclones, coastal erosion etc. Further, owing to the enriched land and water resources, enjoyable eco systems and avenues for intra and intercontinental trades, more than 70% of the global population and the related infrastructure are clustered in the coastal zones. Hence the scientists from all over the world have started showing more attention towards the coastal regions (Ahmed, 1972). The advent of Geomatics technology comprising multi spectral and hyper spectral remote sensing, GIS, GPS, Interferometry, etc. have opened up exhaustive newer vistas in unfurling the hidden complexities of the coastal zones and to provide solutions. From amongst many, the remote sensing based studies carried out by Shailesh Nayak and his team (2004) have brought out many first time information to light about the Indian coasts. But still we will have to go a long way, as the global coasts in general and the Indian coasts in particular are confronted with a hierarchy of challenges and the Geomatics technology can provide answers for these challenging issues owing to its unique virtues. The paper narrates the unique issues of the Indian coasts and how effectively the geomatics technology can be used in solving them. This has been done by taking Tamil Nadu coast as the test area.

The vulnerability of agriculture and livelihoods in the Member Countries of the Centre on Integrated Rural Development for Asia and the Pacific (CIRDAP) poses a significant threat to achieving climate- resilient rural development. CIRDAP includes 15 member countries: Afghanistan, Bangladesh, Fiji, India, Indonesia, Iran, Laos, Malaysia, Myanmar, Nepal, Pakistan, Philippines, Sri Lanka, Thailand, and Vietnam [CIRDAP, 2023]. ]. In many Asian countries, agriculture is still practiced using traditional methods that do not incorporate climate data or modern techniques. This reliance leads to several challenges, such as reduced productivity and crop diversity, increased vulnerability to weather fluctuations, and hindrance in establishing resilient value chains. For example, in Iran's rural sector, challenges such as centralized planning, patriarchal norms, inefficient extension systems, and weak inter-agency coordination are uniquely defining features (CIRDAP, 2025). However, evidence shows these challenges are widespread across the region:

14.1 Introduction
As we reach the culmination of our exploration into meteorological data science, from foundational principles to specialized applications and emerging trends, it is imperative to pause and reflect on the broader context of this rapidly evolving field. The chapter, “Challenges, Ethics, and the Future of Meteorological Data Science,” shifts our focus from the “how” to the “why” and “what next,” addressing the significant hurdles, crucial ethical considerations, and transformative opportunities that lie ahead. The journey through meteorological data science has revealed a landscape of immense progress: unprecedented data volumes, sophisticated modeling capabilities, and increasingly accurate predictions. However, this progress is not without its complexities. We grapple with the inherent chaotic nature of
the atmosphere, the persistent uncertainties in our models, and the sheer computational demands of simulating Earth’s intricate systems. Beyond these scientific and technical challenges, the increasing societal reliance on meteorological data raises profound ethical questions concerning data privacy, equitable access to information, the responsible use of AI, and the potential for bias in algorithms. This chapter will delve into these multifaceted aspects. We will first examine the enduring scientific and technical challenges that continue to push the boundaries of research, from improving sub-seasonal to seasonal predictability to seamlessly integrating diverse data sources. Following this, we will confront the critical ethical considerations that arise when dealing with vast amounts of environmental data and its direct impact on human lives and livelihoods. This includes discussions on data ownership, algorithmic transparency, and the potential for exacerbating existing societal inequalities if not handled with care. Finally, we will cast our gaze forward, envisioning the future of meteorological data science. This forward-looking perspective will explore the potential for truly integrated Earth system models, the transformative impact of artificial intelligence, and the growing imperative for interdisciplinary collaboration to address the grand challenges of climate change and environmental sustainability. Ultimately, this chapter serves as a critical reflection, reminding us that while the technological advancements in meteorological data science are aweinspiring, their true value lies in their responsible and ethical application for the benefit of all. It is a call to continuous innovation, thoughtful leadership, and a commitment to leveraging the power of data for a more resilient and informed future.

Channel improvement increases or restores the ability of a river or drainage channel to convey floodwater safely. Natural or artificial channels may lose capacity because of sediment deposition, vegetation, debris, bank encroachment, irregular alignment, insufficient cross-sectional area, or excessive hydraulic resistance. Improvement can involve widening, deepening, straightening, clearing, lining, dredging, bank stabilization, or constructing additional waterways. This chapter discusses the purposes, advantages, disadvantages, and planning principles of channel improvement. It examines channel geometry, flow resistance, permissible velocity, sediment behaviour, erosion protection, and maintenance. The chapter also emphasizes that interventions must be evaluated carefully because poorly planned modifications can accelerate flow, destabilize banks, damage habitats, or shift flooding downstream.

2.1 Definition and Boundaries of Watershed Areas

Concept of Watershed Boundaries

The concept of watershed boundaries is fundamental to understanding the hydrological and ecological dynamics of a given landscape. Watershed boundaries, also known as drainage divides or catchment areas, delineate the geographical extent of a watershed, which is an area of land where all the water drains to a common outlet, such as a stream, river, lake, or ocean. Watershed boundaries represent the natural hydrological and ecological units of a landscape, reflecting the interconnectedness of water resources and ecosystems. Understanding the factors influencing their definition is essential for effective watershed management, resource planning, and environmental conservation. Exploring the delineation of watershed boundaries involves considering various factors that influence their definition:

a. Topography: Topography, particularly the elevation and slope of the land, plays a significant role in defining watershed boundaries. Watershed boundaries typically follow ridgelines or high points in the landscape, where water flows in different directions, ultimately converging into distinct drainage networks.

b. Hydrology: Hydrological characteristics, such as precipitation patterns, surface runoff, and groundwater flow, influence the delineation of watershed boundaries. Areas with higher rainfall or snowmelt may have larger watersheds with more extensive drainage areas, while areas with low precipitation may have smaller, more localized watersheds.

Readers are introduced through this chapter to a geohazard (Landslide) that is most frequently publicized in mainstream media. Systematic examination of landslides and associated structural, tectonic, geological, geomorphological, meteorological, hydrogeological characteristics and land use pattern of Nilgiri hill area had indicated that steep slope, dipping of rockstowards slope, presence of clay layering in weathered rock types, events of continuous heavy rains, flooding on the slopes and improper land use practices play a major role in the genesis of landslides. Inaddition, ongoing seismotectonic activities in Southern Granulite Terrain of South India and reactivation of hidden blind shear zones were identified to be causative factors of recent increase of landslide occurrences.

INTRODUCTION

The downward movement of consolidated and unconsolidated soils and rock en masse from any geomorphic feature due to natural or manmade causes under the influence of gravity is termed as landslide (GSI, 1982). Nevertheless, presence of water, clay material, weak joints, favorable slope and many other characteristics also act as catalysis for this event. Landslides are one of the common geological hazards that affect countless population in India, especially in hilly terrains. Different reasons have been ascribed to different landslides of various terrains. Among them, reactivation of Bhavani shear zone (Prasannakumar and Llyod, 2007), high anthropo-geomorphic intervention (Basu, 2005), local geology, precipitation and slope (Bhattacharjee, 2005), presence of local vertical faults, triangular facets, abrupt deflection of streams and neotectonism

Introduction

In India there are about 200 distillery having installed capacity 1555.5 million liters per annum out of which 50% are of 30 KL/ per day capacity about 50% of remaining distillery are of 45 to 60 KL/ per day capacity there are few distilleries which having go 120 KL/ per day capacity. Distillery waste is one of the major industrial waste having high organic and inorganic constituents in the recent past the treatment and disposal of distillery waste has become a subject of debate of each and every forum.

Proximate Analysis of Biomass
Objective
To determine the key compositional parameters of biomass, including moisture content, volatile matter, ash content, and fixed carbon, using standardized analytical procedures.
Principle
Proximate analysis of biomass is a standardized method used to determine the basic compositional components of biomass materials. It provides essential information about fuel quality and conversion characteristics. Biomass can serve as an energy source either directly through combustion or indirectly through conversion into gaseous, liquid, or solid fuels for more efficient utilization. These transformations occur through thermochemical processes (combustion, gasification, and pyrolysis) and biochemical processes (anaerobic digestion and fermentation).
Common biomass materials such as agricultural residues, cattle dung, poultry litter, and paddy straw are analyzed for parameters including total solids (TS), volatile solids (VS), ash content, total organic carbon (TOC), moisture content, and total sugars. These parameters are typically estimated using AOAC (2000) and other standard protocol.
Requirements
Biomass samples (such as agricultural residues, cattle dung, poultry litter, paddy straw and others materials from living organisms but now dead), silica crucible, hot air oven, desiccator, muffle furnace, weighing balance, 5% Phenol, concentrated H2SO4, UV-VIS spectrophotometer, vortex mixer, glassware like beaker and test tubes

The nuclear magnetic resonance spectroscopy (NMR) has led to major advances in the studies on the nature and chemical composition of soil organic matter. The technique has the potential for characterizing organic matter in the intact soil and its size fractions without the need for extraction and fractionation. Furthermore, it can provide information on the compositional changes in crop residues, peat and litter of the forest soils during biodegradation and humification.