eChapters

10.1 General Description

The soil, water, and biodiversity of the land make up a complex composition. Together, these three components produce goods and services that lay the groundwork for people to live sustainably and in peace with one another. Yet an estimated 3.2 billion people's security, livelihoods, and health are at stake due to land degradation. Any decrease or loss in the biological or economic productive capability of the land resource base is referred to as "land degradation." Natural processes contribute, but humans are primarily to blame for the harm. Degradation is frequently intricately connected to biodiversity loss and the effects of climate change.

Restored lands provide access to clean water, reduce erosion, preserve livelihoods and biodiversity, create forest products, and supply biomass fuel. Trees in agricultural environments can enhance soil fertility, hold onto moisture, and boost food output. Trees and forests slow climate change by storing carbon; intensive restoration efforts may lead to a reduction in the atmospheric concentration of carbon dioxide. Restoration can assist communities in adjusting to the effects of climate change by ensuring water supplies or reducing the effects of severe storms.

Plant cultivation was only a modest activity of primarily nomadic populations in the second millennium BC, and it had little impact on the vegetation. After 0 BC/AD, sedentary civilizations created enormous settlement mounds, and on the dunes, a shifting agricultural system with fields and fallows was constructed. Park savannas, an agroforestry system with protected wild fruit trees scattered throughout the fields, were used for cultivation (Höhn and Neumann 2012). Extensive farming with protracted fallow periods was conducted during the first millennium AD. The composition of the woody vegetation changed as fallow seasons shrunk and the impact of cattle herding on the vegetation increased towards the start of the second millennium AD. The substantially lower species richness of the contemporary woody forest was eventually brought about by declining precipitation and anthropogenic pressure (Höhn and Neumann 2012).

Introduction

Disaster is defined as a serious disruption of the functioning of a community or a society causing widespread human, material, economic or environmental losses, which exceed the ability of the affected community or society to cope using its own resources (ISDR 2002).

Disaster in Global context - The impact of natural disasters in terms of human and economic losses has risen in recent years, society in general has become more vulnerable to natural disasters. Those usually most affected by natural and other disasters are the poor and socially disadvantaged groups in developing countries as they are least equipped to cope with them (IFRC 2001).

1. Introduction

Disasters are events that occur over a period and cause widespread destruction, suffering, or distress to everything they affect (Oxford English Dictionary, n.d.). The impact of a disaster may be confined to specific areas or widespread and could last for an extended duration, often requiring assistance from external sources to address the aftermath (International Federation of Red Cross and Red Crescent Societies [IFRC], n.d.). These events can arise from naturally occurring phenomena, such as earthquakes, tornadoes, or floods, as well as man-made occurrences, including industrial accidents (e.g., accidental toxic spills or nuclear power plant events) or acts of terrorism (e.g., bombing or poisoning) (United Nations Office for Disaster Risk Reduction [UNDRR], n.d.). Disasters typically result in significant harm to infrastructure, loss of life, displacement of people, and severe economic consequences.

Introduction

Disaster may be defined as a sudden event that causes damage to life, property and destroy the economic, social and cultural life of people. It could be of natural or anthropogenic origin. Disasters impact the poor and the most vulnerable section of the community. Over the past 30 years, more than 2.5 million people and nearly $4 trillion have been lost to natural disasters in India; globally the losses jumped from $50 billion a year in the 1980s to $200 billion in the last decade (NIDM, 2019).According to a World Bank report, nearly 75% of the losses are attributable to extreme weather events and climate change threatening to push an additional 100 million people into the extreme poverty by 2030 (Hallegatte et al., 2016). The Bank’s Unbreakable report finds that natural disasters had larger and long-lasting impacts on the poverty. Population growth and rapid urbanization are major driving factors for an increase in the disaster risks.

The United Nations estimates that more than two-thirds of the world’s population will live in cities by 2050 (NIDM, 2019). This could put 1.3 billion people and $158 trillion assets at risk from river and coastal floods alone. According to the Bank’s Investing in Urban Resilience report (2016), by 2030, without significant investment into making cities more resilient, natural disasters may cost cities worldwide $314 billion each year.

Introduction
In the past, the approach to disaster management was relief-focused and restricted to helping the area affected by the disaster. involves a continuous and integrated process of organizing, coordinating, and putting into action measures that are required or advantageous for preventing danger or threats, mitigating risk or its severity or consequences, building capacity through research and knowledge management, being ready to deal with any disaster, responding quickly to any situation that poses a threat to the community, determining the extent or severity of effects, evacuation, rescue and relief efforts, rehabilitation, and reconstruction.
Phases and Elements in Disaster Management
I. Pre-disaster phase: There are three components to the pre-disaster phase: preparedness, mitigation, and prevention.
II. The aftermath phase, encompassing response, recuperation, and restoration. All these components are connected by a structure of institutions and legislation.

Efforts to Mitigate Natural Disaster at National and Global Level

What is A ‘Disaster’?

It as ‘an event that has occurred unexpectedly with destructive consequences’ - (UNOCHA 2005). 
It as ‘a calamitous event resulting in loss of life, great human suffering and distress, and large scale material damage’ - (IFRC2005).
None of the international agencies take animals into account in their definitions

1. The most disaster affected populations in the world - China,

2. Heavy droughts usually occur in Afghanistan.

3. Heavy human causalities due to flood occur in Cambodia.

4. Ring of fire an arc of volcanoes and fault lines encircling the Pacific basin.

5. Occurrence of unusual cold wave Russia.

6. 22 Indian states are prone to disasters.

7. Pre-Disaster mitigation can help in ensuring faster recovery from impacts of disaster.

8. IOC-International Oceanographic Commission.

9. USGS-United States Geological Survey.

10. NOAA-National Oceanic and Atmospheric Administrations.

Introduction
There are always going to be natural disasters like cyclones, earthquakes, and floods. They are a component of our surroundings. Nonetheless, the amount of damage caused by natural disasters can be reduced if there is a reliable warning system in place
and the impacted population is ready. Thus, while reactive mechanisms constituted the majority of disaster management in the past, a change towards a more proactive, mitigation-based strategy has been gradually observed in the last several years.
The field of emergency and disaster management focuses on mitigating and preventing potential hazards. It is a field that deals with anticipating catastrophes, responding to them (e.g., emergency evacuation, quarantine, mass decontamination, etc.), and helping to rebuild society following natural or man-made disasters. Generally speaking, emergency management is the ongoing process through which all people— individuals, organizations, and communities—manage risks in an effort to lessen the effect of catastrophes that may arise from those risks. The perception of danger by individuals who are exposed influences the actions that are taken.
Definition
The word “disaster” comes from the French word “disaster.”
A disaster is a state brought on by natural factors in which there is a significant disruption of services and infrastructure that has an adverse effect on the environment, the economy, and human life.

A disaster is any event natural or manmade which creates an intense negative impact on people goods and services and or the environment and exceeds the affected community internal capability to respond prompting the need to seek outside assistance. In other words a disaster is a serious disturbance of a community or society interfere human resources losses and impacts on economically and environmentally or disaster means simply an event has unfortunate consequences on only on human but also on whole environment. Disaster can be two types’ Natural disaster and manmade disaster.

9.1 What are Natural Disasters?

The natural disasters are earthquakes, floods, droughts, famines, heat waves, cyclones, wild fire, volcanic, aerosols (small particles), and landslides.

9.2 Disaster Management

Both physical solutions and institutional strategies should be developed to manage natural disasters. For flood disaster control the water flow should be checked. Institutional strategies do not rely on physical barriers and include flood plain management, flood and disaster warning systems, education and preparedness programmes.

Introduction

A disaster is the result of an immediate situation or the result of a long, set process, which disrupts normal human life in its established social, traditional and economic system. This is due to the destruction of environment which is caused by extraordinary natural destructive phenomena or human-induced hazards resulting in human hardship and suffering beyond recovery unless external aid is brought in.

4.1 Introduction

Discharge is also called as rate of flow. Discharge is defined as the volume of water flowing through a cross section in a unit time. It can be expressed as cubic metre per second (cumec), cubic feet per second (cusec), litre per sec (lps) etc. One cumec is equivalent to 35.5 cusecs or 1000 lps. The measurement of discharge is very important in everyday life starting from deciding the amount of irrigation to be supplied to a crop at a particular growth stage, or amount of water supply for domestic and industrial uses, for flood control and power generation etc. It plays a vital role in water resources planning. If a stage-discharge (also called as gauge-discharge) relationship for a particular gauging site is developed, then daily measurement of discharge in the gauging site is not required. Discharge can be estimated from the developed relationship of discharge versus stage if the measurement of stage is known.

3.1 Introduction

Irrigation water that is supplied to crop fields is defined by a term commonly called as discharge which is also called as rate of flow. Discharge is defined as the volume of water flowing through a cross section in a unit time. It can be expressed as cubic metre per second (cumec), cubic feet per second (cusec), litre per sec (lps) etc. one cumec is equivalent to 35.5 cusecs or 1000 lps. The measurement of discharge is very important in everyday life starting from deciding the amount of irrigation to be supplied to a crop at a particular growth stage, or amount of water supply for domestic and industrial uses, for flood control and power generation etc. It plays a vital role in water resources planning.

3.2 Methods of Discharge Measurement

The various methods of discharge measurement can be broadly classified into the following types: (i) volume method of discharge measurement (ii) flow measuring structures such as orifices, mouthpieces, flumes and weirs.

9.1 Section-A : Write True / False

Q.1 The probabilistic laws for dif erent values of a random variable are made on the basis of given conditions. T ese conditions are known as "prior considerations".

Q.2 If the probabilistic laws are made for dif erent values of a random variable on the basis of results obtained from an experiment, then such results are known as "a posterior inferences".9.1.1 Discrete Uniform Distribution

Q.3 A random variable X is said to have a discrete uniform distribution over the range [1, n] if its p.m.f is written as

One of the important studies in the crop improvement programme is the discriminant function analysis. This is a method of exercising selection in plants, which show the extent of which character is genetically related to yield (Goulden, 1959). The technique of discriminant function was developed by Fisher (1936). But, the application of this method for plant selection was first made by Smith (1936) in wheat. He developed an index design for the selection of plant lines in wheat using the concept of discriminant function to derive a linear equation based on observable characteristics as the best available guide to the genetic value of each line.

Stephens (1942) reported about the interaction of yield components within the plant and within the population, which serves as an index for yielding ability. According to Hazel and Lush (1943), selection for a total score or net desirability is more efficient that selection for one trait at a time. The formulae presented by them for selection index give proper weight to each trait that are more efficient than selection for one trait at a time or for several traits with an independent culling level for each trait. According to Darlington and Mather (1949) discriminant function has been defined as a linear compound of series of varieties, obtained by giving the different varieties with individual coefficients which will minimize the difference between classes relative to variation within classes of objects of which the variates are measurements. Mather (1949) reported that these functions afford to the best available means of discriminating the classes and evaluating the genotype of a plant in terms of the observed values of various characters. Pundir and Raj (1971) reported that selection index based on three characters combination i.e., seeds per siliqua, 1000 seed weight and yield per plant was efficient in toria.

ABSTRACT

This work presents the results of multispectral analysis of TM (Thematic Mapper) sensor images on board the satellite LANDSAT 5 for discrimination of selected features of a Nainarmalai region of part of Namakkal District, Tamil Nadu using hyperspectral tools. The spectral classification was carried out using hyperspectral tools namely, a) spectral reduction by the Minimum Noise Fraction (MNF) transformation, b) spatial reduction by the Pixel Purity Index (PPI) and c) manual identification of the end members using the N-dimensional visualizer. The results of study shows that the kinds of features such as magnetite quartzite, sand, harvested land and vegetation area are discriminated well (as given in the figure) and show a strong correlation with landscape.

Keywords: Landsat TM Multispectral Images, MNF transformation, PPI, endmembers, Reflectance spectrum, ENVI software.

1. INTRODUCTION

With a multispectral analysis of an images collected by radiometers and detectors embarked on a satellite, one can make: “spectroscopy by satellite imagery”. Imaging spectrometers or “multispectral sensors” are remote sensing instruments that combine the spatial presentation of an imaging sensor with the analytical capabilities of a spectrometer. With a radiometer such as AVIRIS ”Airborne Visible/Infrared Imaging Spectrometer” where the number of spectral bands exceeds the 200, and with a spectral resolution of the order of 10 nm or narrow, it can produce a complete spectrum for each pixel of the image. The case of this radiometer enters on the “Hyperspectral” field. In the case of our study, we are using the radiometer TM (Thematic Mapper), which is on board for the satellite Landsat 5, and which only has 7 multispectral bands, with a spectral resolution of the order of 100 nm. Like finale result, one using the spectroscopy by satellite imagery, we can identify the spectra of various materials which are on various terrestrial surfaces.

This chapter outlines the design of Phase One and Phase Two of the research. It outlines the research approaches and methodology utilized in Phase One and Phase Two of the research. The chapter also provides details of the sampling strategies, data sources, collection and analysis of both the phases; and finally addresses ethical issues.

In the present investigation, nine cyanobacterial species viz. Anabaena variabilis, Anabaena fertilissima, Nostoc muscorum, Nostoc punctiforme, Nostoc linckia, Nostoc commune, Spirulina platensis, Westiellopsis prolifica and Hapalosiphon sp. were tested for their activity pattern against some selected bacterial species.
 
Each cyanobacterial species was initially subjected to determine the early stationary phase of their life-cycle, which is believed to be the most appropriate period for the production of secondary metabolites by an organism. The growth curve for each cyanobacterial species was prepared by culturing them in BG-11 growth medium. Optical densities (OD) recorded at 650 nm were plotted against number of incubation days for each cyanobacterium. After 23-25 days of incubation period, each culture was harvested to obtain the biomass and spent medium, which were then subjected to process of extraction by using various solvents viz., Hexane, ethyl acetate, dichloromethane and methanol. The extracts and spent medium thus obtained were then investigated for antibacterial activity against five pathogenic bacteria including Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Klebsiella pnumoniae and Salmonella typhi.