eChapters

Population Growth
Around 1810, it took all of human history for the population to reach one billion. This quadrupled to 2 billion people in just 120 years (1930). Then, in 45 years, 4 billion (1975). From 4.4 billion in 1980 to 5.8 billion in 1997 and 7 billion now, the world’s population has increased. It is predicted that in less than 40 years, that number will double again to 11 billion. This indicates that more people than ever before are joining the group every day.
The United Nations Population Fund (UNPF) predicts that by 2025, there will be 10 billion people on Earth, and by the next century, there will be 14 billion.
Birth rates have decreased along with mortality rates, although death rates have decreased more quickly. In most affluent countries, there are approximately 1.6 births for every death, but in less developed countries, the ratio is closer to 3.3 births for every death. Every twelve years, a billion more people live on the planet.
Reasons Behind the Quick Population Growth
• A rise in the distribution and production of food.
• Gains in the field of public health
• medical technology, as well as improvements in education and living standards in many poor countries.

5.1 Population Growth

In 2000, the world had 6.1 billion human inhabitants. This figure may rise to more than 9 billion in the next 50 years. For the last 50 years, world population multiplied more rapidly than ever before, and more rapidly than it will ever grow in the future. Anthropologists believe the human species dates back at least 3 million years. For most of our history, these distant ancestors lived a precarious existence as hunters and gatherers. This way of life kept their total numbers small, probably less than 10 million. However, as agriculture was introduced, communities evolved that could support more people.

World population expanded to about 300 million by A.D. 1 and continued to grow at a moderate rate. But after the start of the Industrial Revolution in the 18th century, living standards rose and widespread famines and epidemics diminished in some regions. Population growth accelerated. The population climbed to about 760 million in 1750 and reached 1 billion around 1800.

In 1800, the vast majority of the world’s population (86 percent) resided in Asia and Europe, with 65 percent in Asia alone. By 1900, Europe’s share of world population had risen to 25 percent, fueled by the population increase that accompanied the Industrial Revolution. Some of this growth spilled over to the Americas, increasing their share of the world total. The 2000 growth rate of 1.4 percent, when applied to the world’s 6.1 billion population, yields an annual increase of about 85 million people. Because of the large and increasing population size, the number of people added to the global population will remain high for several decades, even as growth rates continue to decline.

Between 2000 and 2030, nearly 100 percent of this annual growth will occur in the less developed countries in Africa, Asia, and Latin America, whose population growth rates are much higher than those in more developed countries.

This chapter introduces human–wildlife conflict as a complex ecological and socioeconomic issue arising from interactions between wildlife and human communities. It examines the major drivers and patterns of conflict and considers their ecological and socioeconomic impacts. The chapter focuses particularly on the Indian context and discusses mitigation and management strategies, policy and governance, education, awareness, and community participation. It also considers future research and approaches for promoting coexistence. The chapter emphasizes integrated management strategies that address both wildlife conservation and the needs of communities living in and around forest landscapes.

Abstract

The Mesozoic sediments contribute around 54% of the oil and 44% of the gas reserves of the world (Bois et al. 1982). Indian Mesozoic basins occupy an area of about 400 x 103 sq. km and are characterized as frontier basins under category II - IV. These basins are mostly overlain by the Deccan Traps of Late Cretaceous age and are least explored. Deccan Syneclise is one of the largest Mesozoic basins in India, covering an area of ~ 273 x 103 sq. km. Geophysical studies have inferred hidden sub-trappean Mesozoic sediments with thickness up to 2.5 km. It is considered that requisite heat generation due to Deccan Trap volcanism soon after the Cretaceous sedimentation may have acted as a catalyst in hydrocarbon generation. Surface geochemical prospecting surveys along with carbon isotopic studies have been used to assess hydrocarbon generation potential of this part of the basin. The area adjoining Nandurbar beneath Narmada-Tapti region of Deccan Syneclise was selected for geochemical studies where geophysical studies have shown considerable sediment thickness. Surface geochemical studies indicate the generation of light gaseous hydrocarbons, C1 and SC2+ in the range of 3 to 1187 ppb and 1 to 1449 ppb, respectively. The carbon isotopic signatures of selected soil gas samples dC13 CH4 in the range of - 24 to -39.4‰ PDB) suggest thermogenic origin

Abstract

A total of 30 groundwater samples were collected in four different seasons (Pre Monsoon, South West Monsoon, North East Monsoon and Post Monsoon) from the coastal aquifers of Kalpakkam region of Tamilnadu. The samples were collected covering the seasonal and lithological variations to infer the influence of natural geochemical processes and anthropogenic sources on the groundwater chemistry. The collected samples were analysed for the parameters like EC, pH and Major ions. The saturation index of silicates and carbonates shows that state of saturation to over saturation, but the sulphate minerals is dominantly under saturated. In the inverse modeling three models are obtained using PHREEQC and the error percentage is noted as 7.45%.

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.

Abstract

Quality of water is affected by natural and man induced contamination to groundwater system. Area chosen for study has gained its own importance due to the location of two lignite mines and a Thermal power plant in operation. Extensive large scale pumping of water is done for lignite mining. The mine drainage and drainage from thermal power plant along with agricultural return flow from lignite charged waters increases the severity of problem. In order to achieve a panacea for the above-mentioned situation, the study has incorporated and integrated in all related factors to get a meaningful interpretation for groundwater quality and quantity management in and around Neyveli area. The frequent failure of monsoon has added to the existing problem of over exploitation. To attain a panacea for water chemistry groundwater samples were collected for four different seasons. Higher EC and TDS values are observed in Southeast and Southwest part of the study area. In Southwest monsoon and Summer seasons HCO₃Cl dominates the anions, with few representations for SO₄. In Northeast monsoon and Post monsoon season Na + K – Ca + Mg is the dominant. Thermodynamic, studies reveal that groundwater of the region are stable with Kaolinite stability field in all the silicate systems. Bicarbonates derived from silicate mineral weathering are noted in the NW, Northern and in the mining region. These regions are located in the NW and NE part of the study area. Comparison of water quality to standards shows that the water can be used for drinking and for irrigation purposes except in few locations.

Introduction

Water is among the most precious gifts of nature to mankind. Most of the ancient towns of the world grew on the banks of the river, and some of the ancient civilizations are known by the names of rivers. Rivers have always been important sources of drinking water and the means of sustaining human, animal and plant life. Whenever one is dealing with water resources development and utilization, it has to be kept in mind that not only quantity of water but also quality of water is very important. The well being and development of our society is dependent on the availability of water. An increase in groundwater development and utilization for industries and urban water supply has created improper disposal of liquid waste. Defective well constructions, sewage and waste disposal in man made lakes with in the city, open quarries with water and failure to seal the abandoned wells in city area have provided possible openings for downward movement of polluted water into subsurface formations without undergoing the process of natural filtration.

Hydrological cycle involves four major steps, Viz., Evaporation, Transpiration, Condensation and Precipitation. Though the cycle has neither a beginning nor an end, the concept of cycle begins with the water of oceans, since it occur nearly ¾ of the Earth’s surface. Radiation from the Sun, evaporates water as water vapour from the oceans into the atmosphere. The water vapour rises and collects to form clouds. Under certain condition, the cloud moisture condenses and falls back to the Earth as rain, snow, hail etc. Precipitation reaching the Earth surface may be intercepted by vegetation or enter into the soil, may flow as run-off or may evaporate.

Evaporation may be from the surface of the ground or from free water surface. Transpiration may be from plants.

Condensation: The physical process by which a vapour becomes a liquid or solid – opposite of evaporation.

Water is the most important natural resource that governs and exercises control on living organisms on earth besides supporting all human activities. The demand for water is almost increasing at exponential rate due to increase in population and industrialization. All sectors of agriculture including crop production, horticulture, animal husbandry, poultry and fi sheries primarily depend upon water. Water scarcity can cause all kinds of miseries. The water exists in all 3 different forms on earth. It exists as snow or ice in glaciers and ice caps, liquid water in rivers, lakes, streams, tanks, ponds and as groundwater storage. The water exists in all three different forms in the atmosphere. The clouds may contain fi ne ice particles, tiny water droplets and as well as water vapour. The air in atmosphere also contains water vapour. It is estimated that 97% of water is salt water and remaining 3% of water is pure and fresh water. Approximately two-thirds of the fresh water is trapped in glaciers and ice caps. Most of the fresh water (30%) exists as groundwater. About 0.7% of fresh water exists as soil water and 0.3% a fresh water accounts for surface water resources and water present in the atmosphere as water vapour, water drops and ice particles. The circulation of water between oceans, earth and atmosphere forms hydrologic cycle.
2.1. Hydrological Cycle
The hydrological cycle explains the continuous recirculation and transport of water between the atmosphere, oceans and earth. It is a very complex system that has many sub cycles associated with it. For example, the water from earth surface, oceans and water bodies get evaporated due to heat energy received from the sun in the form of incident solar radiation (Fig.2.1).

Water is fundamental to life, supporting ecosystems, driving economies, and sustaining human well-being. However, the availability of this essential resource is increasingly threatened by hydrological drought, a complex phenomenon characterized by prolonged deficits in surface and subsurface water supplies. Unlike meteorological drought, which is defined by precipitation shortages, hydrological drought manifests as reduced stream flow, diminished lake and reservoir levels, and depleted groundwater, impacting water availability long after the rains have ceased. This chapter looks into the critical aspects of hydrological drought management, exploring the multifaceted nature of this challenge and outlining strategies to mitigate its devastating consequences. We will navigate the intricate web of factors that contribute to hydrological drought, from climatic drivers to the profound influence of human activities. Understanding these causes is paramount to developing effective management approaches.

A disaster is sudden event that causes significant damage to the people, environment and the economy. Disasters are serious disruptions to the functioning of a community that exceed its capacity to cope up using its own resources. The disasters that result either due to excess water or severe water deficit are floods and droughts.
12.1. Floods
The flood is an overflowing of water onto land that is normally dry. Floods may occur due to
• Heavy rainfall
• Ocean waves
• Snow melting
The economic losses due to floods will be very high and nearly 68 per cent of the economic losses are attributed to floods only. During the year 2018, India suffered a loss of nearly 90,000 crores due to floods alone. There are several causes for occurrence of floods in India. The major causes are
• Severe cyclonic storms in coastal areas which produce continuous heavy rainfall for 3 to 4 days in succession
• Encroachment of flood plains with residential structures
• Inadequate strength of river banks when there is high flows of water in the rivers
• Unplanned growth of urban areas
• Silting of water storage structures due to increased soil erosion thereby decreasing the storage capacity of reservoirs
• Simultaneous flooding of rivers and tributaries due to excessive water flows

ABSTRACT

This paper reviews the various application of hyperspectral remote sensing data carried out by the scientists of India emphasizing its advantages.

1. INTRODUCTION

The most significant recent breakthrough in remote sensing has been the development of hyperspectral sensors. The ‘Hyper’ in hyperspectral means ‘too many’ and refers to the large number of measured wavelength bands. Hyperspectral images are spectrally over determined, which means that they provide ample spectral information to identify and distinguish spectrally unique materials. Hyperspectral imagery provides the potential for more accurate and detailed information, extraction than is possible with any other type of conventional remotely sensed data.

Imaging spectroscopy (Goetz et al., 1985) in hyperspectral imaging is concerned with the measurement, analysis, and interpretation of spectra acquired from a given scene (or specific object) at a short, medium or long distance by an airborne or satellite sensor. The concept of imaging spectroscopy originated in the 1980's, when A. F. H. Goetz and his colleagues at NASA's Jet Propulsion Laboratory began a revolution in remote sensing by developing new instruments such as the Airborne Imaging Spectrometer (AIS), then called AVIRIS, for Airborne Visible Infra-Red Imaging Spectrometer (Green et al., 1998). This system is now able to cover the wavelength region from 0.4 to 2.5 μm using more than two hundred spectral channels, at nominal spectral resolution of 10 nm. The special characteristics of hyperspectral datasets pose different processing problems, which must be necessarily tackled under specific mathematical formalisms, such as classification and segmentation (Jia et al., 1999, Green, R 1998) and spectral mixture analysis (Adams et al., 1986; Smith et al., 1990a, b).

ABSTRACT

In earth system about 60% of the world's population live within 60 km of coastline and use the coastline for their livelihood. Environmental pollution of the coast, inshore water and deep ocean is one of the important topical issues in the context of human health and global warming. To combat this natural and man made problem, we have to rely on qualitative analysis quantitatively. In the recent advancement in information and technology field, spectral data plays a major dominant role in the environmental studies. This could provide more powerful and accessible means to exploit the enormous wealth of data available in the system. The high-resolution imaging spectrometry (hyperspectral imagery) will help to analyze the data for mapping and other environmental modeling applications. This could attain advanced approaches to deduce surface characteristics and extract features from hyperspectral images. The current capabilities are in which, the prototype system can classify pixels according to surface type. The classification process employs neural network analysis of inputs which include pixel spectra and a variety of processed image metrics, including image “texture spectra” derived from fractal signatures computed for sub image tiles at each wavelength. Thus, this kind of technical analysis can prove to achieve coastal area studies well in advance in the ongoing environmental changes more precisely.

ABSTRACT

Multispectral imagery has been used as the data source for natural resource mapping and land observational remote sensing from airborne and satellite systems since the early 1960s. Over the past two decades, advances in sensor technology have made it possible for the collection of several hundred spectral bands. This is commonly refe rred to as hyperspectral imagery. Thus it is possible to construct a complete reflectance spectrum of every pixel in the scene. This review highlights the hyperspectral remote sensing system development, hyper spectral data processing and difference between multispectral and hyperspectral data; spatial and spectral resolutions and focuses on the application of hyperspectral imagery in natural resource studies and, in particular the classification and mapping of land resources.

ABSTRACT

Remote sensing has undergone tremendous development in past decades. Hyperspectral imaging refers to the imaging of a scene over a large number of discrete, narrow contiguous spectral bands in the visible through thermal infrared portion of the spectrum. Thus it is possible to construct a complete reflectance spectrum of every pixel in the scene.

Classification of hyperspectral image requires thorough understanding of surface material properties, sensor characteristics and atmospheric absorption spectra. The reflectance spectra of most materials on the Earth's surface contain diagnostic absorption features. Remote sensors, capable of acquiring complete reflectance spectra over large areas, offer a powerful tool to study of the Earth and the environment. Methods are being developed to extract information from remote sensing data using image-processing approaches. Specific absorption features of reflectance spectrum can be used to identify a number of important rock forming minerals, and have been used by geologists for geologic mapping and studies of volcanoes.

The present discussion includes an application of thermal characteristics of near- IR bands of Landsat TM to estimate the temperature of over and around the crater of Barren Island volcano in 1991. A method using dual band temperature characteristics related to radiant source of sub-pixel size was developed and utilized to prepare temperature contour map of the Island using unsaturated pixels of band 5 and 7.

ABSTRACT

Over the last decade, hyperspectral remote sensing has become a powerful analysis tool for applications in environment and ecology, aquaculture, forestry, agriculture, and geoscience. A hyperspectral imagers advantage over broadband sensors, such as Landsat Thematic Mapper (TM) and the SPOT Haute Resolution Visible (HRV) sensor series, is its ability to detect molecular absorption and particle scattering signatures of constituents. The finer spectral resolution of a hyperspectral imager allows detection of surface materials and their abundances, as well as inferences of biological and chemical processes. This review highlights the vast extent to which hyperspectral technology and their application with special reference to ocean have been discussed.

ABSTRACT

Mineral composition and their distribution on planetary surfaces provides important clues to the evolutionary processes that the planetary bodies have undergone since their formation. For distant and inaccessible planets, remote sensing, either from Earth-based telescopes or from an orbiter around the planetary body, using reflectance spectroscopy over a wide range of the electromagnetic spectrum (UV-Visible-IR), can provide surface distribution of minerals. With advances in technology, a high-resolution hyperspectral imager onboard an orbiter has developed into a powerful tool for compositional mapping of planetary surfaces. Interpretation of the signals from these distant and relatively unknown destinations is a challenging task due to scarcity of available ground truth. Here, we describe the technique with its applicability to airless bodies, such as Moon, in the context of the Indian Moon mission, Chandrayaan-1, and, the intricacies involved in the data analyses.

Keywords : Reflectance spectroscopy, hyperspectral data, remote sensing, planets, moon

1. INTRODUCTION

The primary goal of planetary exploration is to understand the mechanism by which planetary objects (planets, dwarf planets, satellites and small solar system bodies) have evolved with time. The information gathered from the study of individual bodies is integrated to comprehend the development of our solar system. The present understanding envisages our solar system to have formed from the solar nebula, produced as a consequence of the collapse of a molecular cloud. While the central mass gravitated and formed the sun, the gas and dust surrounding it condensed to form grains and formed the proto-planetary disk. These grains, through a series of processes, finally aggregated to form of the various planetary bodies. Existing Astronomical, chemical and mineralogical evidences from studies of lunar samples, meteorites and, remote sensing observations suggest that the planetary bodies are heterogeneous and possess extreme compositional and morphological diversity. The internal energy of a planetary body, a function of its size, is responsible for the differences in the degree of differentiation a body has undergone leading to the variations in their surface composition. Large planets like the Earth and Venus are still evolving whereas the small asteroids have barely evolved after their formation and are considered primitive. The wide variety of planetary bodies in our solar system is therefore reminiscent of the various stages of evolution that our solar system went through. The degree of melting and cycling through episodes of differentiation determine the mineral inventory on a planetary body. Therefore, distribution and composition of various minerals can be used to understand various stages of chemical evolution of a planetary body. Mineral mapping of planetary surfaces is thus useful in understanding the petrogenetic history.

ABSTRACT

This paper is an attempt to highlight the problems of coastal environmental impact assessment owing to logistic constraints, costs of analytical data generation, time gap between data generation and interpretation, quantum of physical and chemical data required for assessment of environmental data through conventional methods and to examine the potential of hyperspectral remote sensing as an alternative for conventional methods. As hyperspectral remote sensing is non-destructive, offers repetitivity and high resolution (spatial and spectral) and hyper-sensitive to many physical and chemical properties of coastal soils and minerals, we recommend use of hyperspectral remote sensing for reduction of cost and man-hours in coastal environmental assessment, without compromising the quality of data.