eChapters

27. STRIKE AND DIP

Outcrop : A part of the rock formation which crops out or exposed on the surface of the earth is called an outcrop.

The total area over which a particular rock unit occurs at the surface whether visibly exposed or not. The term outcrop is especially used for delination of such an area on a geological map.

Attitude : To study these outcrops their attitude help in better understanding the position of the bed on the ground surface or in field is attitude of a bed can be described with the help of two basic structural elements i.e. strike and dip.

6.1. Data Interpretation and Visualization of West Bengal

Any kind of production management system or decision-making process is being organised in social ecology. No variable cannot behave discrete or free without having any kind of influence as well as impact from the vary operating ecosystem. That is how it is imperative to know and visualize the basic features in terms of its distributive characters. The distribution of features in variables through this networking and interactions ultimately contribute to a holistic visualization of social ecologization under study.

Table 6.1.1 represents the distribution of variables in terms of range i.e. maximum and minimum values, mean, standard deviation and coefficient of variation for Terai Zone, Old Alluvial Zone and New Alluvial Zone of West Bengal.

The average age (x1) of the respondent stands at 49.02. It denotes that so far as responsibility of agriculture and age base livelihood runs at the population so far as the respondent under study is peaks are at the hands of farmers approaching or passing through old ages. On the contrary the absence of young population or withdrawal of young age farmers from agriculture have got a serious implecation near and far. The cv value runs at 25.78 per cent to indicate that the distribution of variable is highly consistant.

The average of functional education (x2) of the respondent stands at 8.20.The variable education charecterization the social ecology speaks that the most of the respondents are having mid level school education.So, this has got spil over effect on the function and operation of other variables i.e. precisely the perception variables.The cv value stands at 43.69 per cent that’s good enough to infer that the distribution of the variable is highly consistent.

Introduction

Environmental problems have come to the forefront as one of the most important issues in transport policy. For a number of pollutants the road transport sector is one of the most significant contributors to environmental pollution. Vehicular emissions have been identified as one of the major contributors in deteriorating air quality in the urban centers. The problem has further been compounded by the concentration of large number of vehicles and comparatively high motor vehicle/population ratios in these cities. Substantial SPM, RSPM CO₂ and No_x are emitted. The problem of air pollution has assumed serious proportion in some of the major metropolitan cities of India. Therefore, CPCB has 296 monitoring stations all over India covering major cities.

The air pollution situation in most of the cities is still far from satisfactory. In India the major air pollution reason is automotive smoke and smoke from industries. New channels are also publishing pollution levels in selected metropolitan cities. The most polluted city in Asia is Pune. The SPM and RSPM levels are displayed at various squares to create awareness among the masses.

Smaller cities like Nanded, Parbhani and Yavatmal are not covered under National Ambient Air Quality Monitoring (NAAQM) scheme of Central Pollution Control Board (CPCB). The National Ambient Air Quality Standards for suspended particulate matters (SPM) are based on gravimetric measurement. Standards for Respirable suspended particulate matters (RSPM) are also based on gravimetric measurement. The development in terms of number of vehicles and building construction has also reached at the doors of these cities and towns. Nanded city having population of 5.5 lakhs has total number of Auto rickshaws more than 5,000. In the present study, Nanded city has been selected to check particulate matters and gaseous pollutants. Since, the city is one of the important Pilgrimage and commercial centre.

Real time weather data at different time intervals is very important for the crop weather studies, but through the agro-meteorological observatories such real time weather data are generally not collected. The acquisition of agro-meteorological data through conventional observatories requires services of trained personnel to collect, compile and creation of weather data base. With the advances in technology, weather observations are automatically recorded, stored and can be transmitted to the remote place with the help of Automatic Weather Station (AWS).

Abstract

Groundwater is one of the major sources of exploitation in arid and semi -arid regions of Rajasthan. To protect groundwater, its data on spatial distribution are important along with quantity. Analysis of quality of groundwater is also very important, because the physical and chemical characteristics of groundwater determine its suitability for agricultural, industrial and domestic usages. The importance ground water increases many fold for arid tracts like Western Rajasthan. Here quality of water is also matter of serious concern. Geostatistics methods are most advanced techniques for interpolation of Groundwater quality. The present study appraises the groundwater quality of western Rajasthan for agricultural purpose with GIS technology. Kriging Raster Interpolation technique of spatial analyst module in Arc GIS software has been used to generate the spatial distribution map of ground water for agricultural purpose. In western Rajasthan only 28% (58109 km2) of ground water falls under the category of good and is suitable for agricultural use. 

ABSTRACT

Trace Elements were analysed from water samples collected from bore wells from block 2, 5, 14, 26 and 29 at Neyveli Township. Lead Concentration has crossed the limit of ISI standard prescribed for drinking which is 0.100 ppm. Lead concentration in the order of 0.082 ppm at block 5 and 0.11 ppm in block 29 were observed. Cadmium concentration has also crossed the limit of ISI (0.010 ppm) for drinking purpose, which is 0.02 ppm in block 26. Chromium concentration has also crossed the permissible limit of ISI standards (0.05 ppm) for drinking, which is 0.098 ppm in Block 14.

The above elements when compared with ISI standards for drinking water have shown a slight increase in concentration of lead, cadmium & chromium. Concentration of lead in Neyveli basin may be attributed to basement geochemical sources influenced by physical and chemical weathering. High concentration of chromium and cadmium in the aquifer may be due to anthropogenic activity probably from effluents of closed briqueting & carbonization plant, which is due south of block 14.

Abstract

Conventional wisdom holds that variability in rainfall represents a significant variability of agriculture production. But urbanization of the cities on one hand and climate change on theother hand areaffecting the agriculture. Surprisingly, there have been very few analyses exploring the link between rainfall variability and urbanization on agriculture production. Therefore an attempt is made in this paper to know the affect of rainfall variability and urbanisation on the cropping area. For this purposeNDVI analysis is carried out in the catchments of Osmansagar and Himayathsagar Reservoirs by using the medium to high spatial resolution multi spectral data provided by remote sensing satellites, such as Landsat TM, IRS-1C/1D LISS-III and IRS-P6 LISS-III has been used for the years1989, 1994, 1998, 2002 and 2008 for Kharif season, 1975, 1990, 1994, 1998, 2003 and 2008 for rabi season which is collected from NRSC (National Remote Sensing Centre). From this analysis it is found that the increment is more in rabi season compared to kharif season due to the increment of non-monsoon rainfall intensities and ground water withdrawal structures. The increased utilization of the groundwater is causing the reduction of inflows to the reservoirs in the recent years because whatever the rainfall that occurs in the catchment, first utilised for meeting the depleted soil moisture and ground water consequently reducing the surface runoff.

Keywords : Climate change, Urbanisation, Inflows, Cropping area, NDVI

Raster sub-setting is done to select the desired area or bands of the raster image on which the user wants to perform analysis. Raster sub-setting is done in two ways:

Spectral subset: Spectral sub-setting is done to extract few desired bands from the multiband raster image which are required for analysis.

Spatial subset: Spatial sub-setting is done to minimize the area or extent of raster image to the desired area or extent for further analysis.

Raster sub-setting in R is done by functions available in the ‘raster’ package. The following packages are required in this chapter:

Introduction
Sugarcane (Saccharum officinarum Linn.) is a remarkable tall, perennial grass characterized by its thick, jointed stalks and long linear leaves. This remarkable plant, known for its ability to efficiently photosynthesize in warm climates, is a C4 plant. The propagation of sugarcane primarily occurs through stem cuttings, as it seldom produces flowers and seeds. It finds roots in regions with tropical and subtropical climates featuring warm temperatures, abundant sunshine, and well-drained fertile soil (Shukla et al., 2017). Cultivated for its sweet juice, rich in sucrose, sugarcane serves as the primary raw material for the production of sugar, ethanol, and various other valuable products. Its lifecycle comprises several growth stages, including germination, tillering, grand growth, and maturation, culminating in the harvesting of its valuable juice. Continuous advancements in botany and genetics have contributed to the improvement of sugarcane cultivation, enhancing yield and resistance to pests and diseases. The origins and domestication of sugarcane can be traced back to Southeast Asia, particularly in regions encompassing Papua New Guinea, Indonesia, and their vicinity. The domestication of sugarcane is believed to have commenced thousands of years ago when early human populations in these regions recognized the sweetness of the cane and began cultivating it for its edible properties. Over time, through selective breeding and propagation of plants with desirable traits, these early cultivators played a pivotal role in shaping the sugarcane we know today. This indigenous Southeast Asian plant spread to other parts of the world through trade and exploration. Historical records indicate that sugarcane found its way to India around 500 BC and reached China in the 6th century AD. Subsequently, it traversed the Middle East, the Mediterranean region, and eventually reached the Americas during the early voyages of exploration and colonization (Grivet et al., 2004). Christopher Columbus played a significant role in introducing sugarcane to the Caribbean islands during his second voyage in 1493, and from there, it made its way to other parts of the New World, including Brazil and various South American countries. The cultivation of sugarcane emerged as an essential industry in these regions, profoundly influencing their economic and social landscapes. The domestication and widespread cultivation of sugarcane have left an indelible mark on the global economy, trade, and human history. Today, sugarcane remains one of the most significant crops globally, with major producing countries, including Brazil, India, China, Thailand, and others. It stands not only as a pivotal

Sulfate can have harmful effects on aquatic life in freshwaters, sulfate cause osmotic stress or specific ion toxicity in aquatic organisms, especially in soft waters where Ca2+ and Mg2+ concentrations are low. Egg fertilization and early embryonic development were the most sensitive developmental stages of whitefish to sulfate (Karjalainen et al., 2021).
Sulphate (SO4 2-) may be estimated by either turbidimetric or gravimetric methods (APHA, 1995)
1. Turbidimetric method is more applicable in the range of 1- 40 mg Sulphate (SO4 2-)/ L
2. Gravimetric method is suitable if the concentration of Sulphate (SO4 2-) is above 10 mg/ L
Turbidimetric Method (Range 1 - 40 mg/L of sulphate) Principle
Sulphate ion (SO4 2-) precipitated with barium chloride (BaCl2) in an acetic acid medium in order to form crystals of barium sulphate (BaSO4).
BaCl2 + SO4 2-+ BaSO4 (precipitate)
The formation of these crystals is increased in the presence of an acetic acid solution containing sodium acetate, potassium nitrate, acetic acid and magnesium chloride. The suspended barium sulphate (BaSO4) is measured by spectrophotometer and concentration of sulphate (SO4 2-) is determined by comparison of the reading with a standard curve. Minimum detectable concentration is approximately 1 mg (SO4 2-) / L.

Sulphur (S) occurs in soil in both organic and inorganic forms. Inorganic S fraction may occur as sulphate (SO₄^2-) and compounds of lower oxidation state such as sulphide (S^2-), polysulphide (S_n^2-), thiosulphate (S₂O₃^2-) and elemental sulphur (S⁰). In well drained soils inorganic S usually present as sulphate. Under anaerobic condition (reduced or waterlogged soil) inorganic S mainly occur as sulphide and under extreme condition as elemental S form. Estimation of S carried out in two steps:

7.1 Summary

Never ever in the annals of human civilization, the importance of ecological resilience has become so important and imperative as we are perceiving now. Both the need and greed of food economics have driven the resource bases of our ecosystem, to a dilapidated and fragile status. By 2050 the world’s population will touch close to 9.5 billion and we have to scale up our food production 60% more then what it is right now. In India by 2040, we have to cross 450 million tons of our targeted food production to keep rhythm with population growth. By 2035 we are going to cross the population of China. Understanding the cascade of risks for climate change, as well as the vulnerabilities to these risks, is key to frame ways to adapt. Reducing vulnerabilities is key to reducing the net impacts on food security and nutrition and also to reducing long-term effects. Increasing resilience of food security in the face of climate change calls for multiple interventions, from social protection to agricultural practices and risk management..

When population pressure is soaring up, the need to produce more food from less and less available land and water, the issues of ecological resilience are coming up more swashbuckling and humongous. The aftermath of green revolution has contributed to achievement in food security on one hand, the other hand water has been contaminated and depleted, soil has been eroded with a sharp decline of organic carbon. We are losing 15 tons of topsoil per hectare per year and inviting a disruptive agro-ecosystem, the syndrome of which are quite vivid and prominent.

7.1. Summary
The planet rise at this moment cannot endure and conjure up any further stress and distress created by un-mindful modernization of agriculture. This situation has gone further complex with the unabated rate of urbanization. The natural resources which looked plenty some 50 years back, now is coming up something scant and degraded. We have to protect this planet; hence, we have to protect our agriculture by placing ecological resilience with its perfect balance and dynamics. In doing so, we need to manage and recycle energy, water, and biodiversity in such a way that the operating agro-ecosystem can perform for another centuries. This is a herculean task, it will only be possible when farmers and other citizens are participating elegantly and equally into the process, because farmers are not producing food for their own, rather they are feeding the entire civilization. Every year 15-20 tonnes of top soils are being eroded, the highest anytime; the sea level is rising at the rate 5-10 mm again it has become highest over the last decades and the prediction for rate of changes in rainfall and temperature contributing to global warming has been accelerate like anything. In addition to this, we need to feed 950 crores of population by 2050, while lands are getting fragmented, resources are fragile, and water is getting increasingly contaminated. Thus, CA is the only option to create a perfect balance between productivity with increase of ecological resilience, even within the cropping system by introducing crop diversification with leguminous crops and this is specially so when the biodiversity is also getting eroded. Water harvesting is the need of the hour as we can make our farm more energy parsimonious, we have direct whatever crop residues are produced in the soil echelon and making this concept a revolution into a reality we have to go in a massive way with bring awareness, creating policies, and mobilizing community to make our agriculture ever- green and ever- resilient.
On this context the present research has been conducted with the following objectives:

Supervised classification is the technique to classify raster image in which prior information about the classes in the form of training sites is provided by the user. Training site represents a homogeneous area in a particular class. The spectral response pattern of training sites is used to classify the raster image.The pixels of raster imagewhich have spectral response pattern similar to that of training sites of a particular class are grouped in that class. As there is some variability in the spectral response pattern of a particular class, therefore, multiple training sites per class are taken for supervised classification. Supervised classification of raster images can be performed by various methods. Conventional methods include maximum likelihood classifier, minimum distance to mean classifier, and parallelepiped classifier. Now a days, machine learning algorithms are also gaining importance in this context. These classifying algorithms are first trained or calibrated using the data of training sites.This trained model is then validated on the independent datasets for accuracy assessment. If the accuracy of the developed model is of acceptable level, then that model is used for the classification of raster data.

In this chapter, we are going to discuss the execution of maximum likelihood classifier and few machine learning techniques for supervised classification of raster image in R software. The training sites used in this exercise are in the form of points shapefile. The raster image is classified into six classesi.e. built- up, fallow soil, riverine sand, salt-affected soil, vegetation, and water. For performing this exercise, first of all,set the working directory and import the required packages.

Abstract

The state of Tamil Nadu has a low easterly gradient slope and there are number of rivers, big and small originate from the west flow towards east south easterly and confluence the Bay of Bengal. These were grouped into seventeen major and minor river basins, the Cauvery being the largest basin and the river is also a near perennial river. These river basins receive rainfall both from the southwest and northeast monsoons. The state has over 40,000 surface water bodies and number of major dams and reservoirs. Even then, since the rainfall of the north east monsoon, the major source of water source to these basins, occurs in short span of few days with high rainfall, neither adequate storage is there to store them nor the recharge possibility is available, thus all leading to flooding and wastage. The 40,000 and odd water bodies are heavily silted and polluted too. The paper provides an over view of all these, basin wise, and in addition, strongly advocates intra state river linkage and improvised irrigation management as the best option to save the state from its water deficiency.

3.1 Introduction

There is now latest national thinking going on to conserve the known sources of energy such as firewood, cow dung, agricultural waste, kerosene, oil etc. i.e. by limiting their conventional uses and to propagate the use of non conventional energy especially in the rural area. The large scale indiscriminate use of non commercial fuels fully in the rural areas are not only providing to be inefficient but also inadequate to cope with the growing rural energy demand caused by growing population and growing consciousness among rural people for a better way of life. Planned input of energy are, therefore urgently require to protect the environment and to cope with raising rural energy demand. In order to assess the widening gap between the supply and demand of commercial energy and indiscriminate use of non commercial fuels in rural areas, there is a need for various types of statistical or quantified information to be collected and analyzed in an objective manner and presented suitability so as to serve as a sound basis for taking policy decision to make an optimum utilization of commercial energy in a balanced manner. This will require conducting of survey in areas to be covered.

The statistical data may be collected by complete enumeration or by a sample survey. The earlier method is very cumbersome, time consuming, cost ineffective and requires an intensive development of manpower, if domains of study is quite large. Complete enumeration and sample surveys presuppose the existence of a certain minimum of facilities such as funds, professional personnel for planning the survey methodology and supervision of field operations, sufficiently qualified enumerators, sampling frames, machine tabulation equipment, transport and communication facilities etc. These facilities or combinations there of do not always exist to the extent needed for a complete enumeration survey. As such, sample survey is preferred to complete enumeration for ethic type of studies giving due importance to sampling error.

In the integrated energy planning, there is an objective to find out the present consumption pattern of energy for different end uses, shortages being experienced and people’s reaction to using alternate sources of energy is also enumerated.

The survey methods determine – incident, distribution and the interrelation among sociological variable and psychological variable. The sociological variable s consists of age, education, income and attitude, behavior, motivation, belief and knowledge about the problem.

Abstract

This paper is the synthesis of researches of quaternary on the Chad lake basin, our field investigations, our previous palaeogeographic research underlined by the sédimentological analyses, ¹⁴C radiocarbon and thermoluninescence dating. The objective is to show that after the effects of geological fluctuation, paleoclimatic oscillations, the Chad lake basin experiences since historical times an increasingly drying up due to the combination of geographic factors such as its close position in the Sahara desert, centre of the climate dynamics and human activities. This situation frequently generates recurrent live conditions to which man has to face.

Introduction

Climate change represents a threat not only to the existence of individual species, but also to the genetic diversity hidden within them. The finding promises to complicate assessments of how climate change will affect biodiversity, as well as conservationists’ task in preserving it.

Climate change comes as an additional factor affecting a livestock sector that is already highly dynamic and facing many challenges. Important objectives of AnGR management include ensuring that AnGR are effectively deployed to meet these challenges (i.e. are well matched to the production environments in which they are kept) and that the genetic diversity needed to adapt production systems to future changes is maintained. Climate change is likely to create a number of problems in many areas of animal husbandry (housing, feeding, health care, etc.) and threaten the sustainability of many livestock production systems and their associated AnGR. At the same time, many of the specific challenges associated with climate change (high temperatures, disruptions to feed supplies, disease outbreaks, etc,) as well as the general unpredictability it brings to the future of the livestock sector, highlight the importance of retaining diverse genetic options for the future. The upper critical temperature of dairy cattle is lower than other livestock species (Wathes et al.,1983).

African agriculture is in crisis, and Africa’s farmland is losing its fertility at an alarming rate. Farmers grow the same crops in the same fields year. They don’t fertilize, and they don’t terrace their fields. When the soil wears out, the clear a new piece of land (wwww.npr.org). N. Kozana Diamini Luma, the Chairperson of the African Union Commission has emphasized that ‘the year 2014 – the year of Agriculture in Africa’ will be used as an opportunity to accelerate the drive for food security. The major thrust for that has to be on ensuring that the farmers make their profession on economic activity that generate wellbeing for all in a sustainable manner (1, 2).

In contrast to the traditional universities, agricultural universities have been entrusted with the Herculean task of technology dissemination at the grass root level such that the package of practices evolved by the agricultural scientists should reach out the end-users, viz. farmers , for adopting in the field, with consequent increment in the farm productivity and farmer’s income.

This unique mandate has been assigned to agricultural universities on the pattern of land grant colleges of the United States. Such vision and trust, envisaged by Pandit Jawaharlal Nehru and his devout lieutenants, herald creation of state agricultural universities (SAUs) in the early 1960s. The key role played by SAUs in the first green revolution and agricultural human resources development have been regarded as the milestones in the history of India post-independence, that made the country self-sufficient in food production and, in turn, to self reliance in milk, vegetables, fruits and inland fish production.