eChapters

Introduction
Health patterns were impacted by environmental changes. Aspects of human health, including quality of life, that are influenced by environmental physical, chemical, biological, social, and psycho-social elements are collectively referred to
as environmental health (WHO). It describes the theory and practice of identifying, addressing, preventing, and managing environmental conditions that have a negative impact on the health of current and future generations.
The illness rickets is caused by the overcast atmosphere, which blocks off sunlight and prevents people from obtaining vitamin D from the sun. In Europe, the air quality that suppresses smoke and turns mist into smog is the cause of both lung cancer and chronic bronchitis. However, fair skin types with low pigmentation are more susceptible to skin cancer in bright sunlight. Cold and moisture have been linked to rheumatism. Ruminant animals get infections as a result of the absence of trace elements in the soil. Humidity and temperature have an impact on disease vectors. Malaria, yellow fever, dengue, encephalitis, filariasis, and other diseases are spread by mosquitoes.
Types of Diseases
The following is a classification of the primary illnesses that people suffer from:
• Deficiency diseases: These are conditions brought on by a person’s diet lacking in certain vital nutrients, such as vitamins, minerals, or amino acids. For example: Vitamin A deficiency, anemia, rickets, osteomalacia, and gum and tooth disorders.

Global warming has become a worldwide concern after feeling the rise of temperature much more clearly after 1990. Global warming has negatively affected agricultural production throughout the world attributed by the climate change parameters. Effects of climate change on horticultural crops reported nowadays include problems of biotic and abiotic stress, yield loss, quality loss, etc. To understand the impact of climate change problems in horticulture, it is prerequisite to comprehend the issues related to global carbon cycle, climate change phenomenon, relationship between climate change variables and direct as well as indirect climate change effects.

Introduction

Vetiver, commonly known as Khus grass is a perennial grass of Indian origin. Vetiver roots contain fragrant essential oil, which is a perfume by itself. Aroma chemicals such as vetriverol, vetriverone and vetriveryl acetate are prepared from this volatile oil. In India, it is mainly used in perfumes, cosmetics, and aromatherapy, food and f lavouring industries. Since the plant has extensive finely structured fibrous roots, it is useful in both soil and water conservation and the plant itself is drought tolerant. The world production of vetiver oil is around 300 tons per annum of which India contributes about 20-25 tons only. The world major producers are Haiti, India, Java and Reunion. In India, it is cultivated in the states of Rajasthan, Uttar Pradesh, Karnataka, Tamil Nadu, Kerala, Andhra Pradesh and Telangana, with an annual production of about 20 tons of oil. The present consumption of vetiver oil in India is about 100 tons and 80% of the domestic consumption is met by export only. As the internal demand for vetiver oil is very high, concerns are risingover the improved production and quality of raw materials used. Vetiver is a miracle crop and a big boon for the farmers to increase incomes. This would increase farmer’s income by three to four times. This crop has demand not only in India but also across the world. India is gaining big ground in cultivation of vetiver.

5.1 Definitions

The erodibility of soil is its vulnerability or susceptibility to erosion, that is the reciprocal of its resistance to erosion. A soil with a high erodibility will suffer more erosion than a soil with low erodibility if both are exposed to the same rainfall. Whereas the erosivity of rainfall was shown in chapter 4 to be a fairly straightforward measure of the rain’s physical properties, the assessment of erodibility is more complicated because it depends upon many variables. There are alternative uses of the term erodibility. In the widest sense it can be used to include all the variables which effect erosion except the erosivity of rain, as in the first line of figure 2.2. It is also used in the narrower sense as a measure only of the effect of physical characteristics of the soil, as in the erodibility index K of the Universal Soil Loss Equation, where the effects of land management and crop management are assessed separately, as shown in the last line of figure 2.2.

5.2 Factors influencing erodibility

In this chapter we will look at the three broad groups of factors which affect erodibility. First, there are the physical features of the soil, including the chemical and physical composition. Second, there are the topographic features, such as the slope of the land. Third, there is the management of the land, i.e. how it is used.

1.1 Weather

Firstly, what is weather? Simply, the conditions in the atmosphere above the earth is called weather. It refers to the conditions such as wind, rain and temperature, prevailing at a particular location during periods of hours or days. We often ask “what’s the weather like today”? Any individual can answer to this question as it requires only a short term experience or say exposure to the atmosphere. The TV news forecasters predict weather each day and inform about the temperature, cloudiness, humidity, or possibility of storm in the next few days. Weather is localised, say, it’s a hot and cloudy weather in one part of the country and dry and windy on the other part.

1.1.1 What are the factors that influence weather?

Before we try to understand the factors that influence weather, we must understand what the components that describe a weather conditions are? Is it the rains, or the air temperature or both? The answer to this question is not so easy, and it’s a bit complicated. There are many components that constitute weather. Weather components include rain, cloud cover, sunshine, winds, hail, snow, sleet, storms, thunderstorms, heat waves and many more. These components are sometimes referred as weather parameters or climate elements. Each of these components define weather patterns of a particular area. These components determine the status of local atmospheric conditions. Again, as a basic definition, weather is the state of the atmosphere and majority of weather phenomena occur in the lowest layer of the atmosphere, called as the troposphere. Does it mean that ground conditions such as the topography, water bodies and vegetation of a particular area has nothing to do with it? No, it is not so. The state of the atmosphere is subjected to various processes taking place not only in the atmosphere but also in the ocean, the sea-ice, the vegetation, etc. Weather parameters or the components of weather form a sequence of events, and the influences are far reaching and they do not remain solely in the atmosphere. For example, terrestrial radiation impacts the air temperature, air pressure and humidity. The terrestrial location also influences the cloud formation. The clouds may or may not turn into precipitation depending on the outcome (cloud or rain), which is by and large governed by troposphere. Likewise, a lack of precipitation affects not only weather conditions, but also soil moisture conditions that may result in lowering of water levels (ground water table) in soil. Wind speed and direction are governed by the atmospheric pressure and air temperature. So, all these parameters or components are interrelated and the weather conditions are the outcome of their interactions. Therefore, we can say that, the three main components of weather are temperature, precipitation and solar radiation. These components are influenced by different factors.

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).

Graphene and related carbon nanomaterials have attracted considerable attention as reinforcements for high-performance green composites. This chapter examines graphene, graphene oxide, reduced graphene oxide, carbon nanotubes, and graphene nanoplatelets and their integration with bio-based polymers and natural fibres. It discusses synthesis and fabrication methods, characterization techniques, mechanical properties, electrical and thermal performance, barrier properties, and applications. The chapter also considers dispersion and compatibility challenges associated with incorporating nanomaterials into green matrices. Graphene-based composites are explored for energy storage, environmental treatment, biomedical applications, sensors, packaging, automotive, and aerospace uses. Emerging trends focus on multifunctionality, scalable production, cost reduction, and sustainable processing.

Additive manufacturing is increasingly important for developing resource-efficient and customized products while reducing material waste associated with conventional manufacturing. This chapter examines the role of additive manufacturing in supporting green and sustainable production systems. It covers environmental benefits, economic and operational advantages, additive manufacturing technologies, sustainable applications, life-cycle assessment, environmental impact analysis, challenges, and design strategies. Industry trends, case studies, sustainability standards, and future research directions are also considered. In the context of green composites, additive manufacturing can support flexible fabrication and potentially improve material utilization and product customization. The chapter emphasizes the need to evaluate manufacturing technologies across their complete environmental and economic life cycle.

Algae are organisms that grow in an aquatic environment and use light and carbon dioxide (CO2) to produce biomass. There are two categories of algae: macroalgae and microalgae. Macroalgae, measured in inches, are large multicellular algae that often grow in ponds. Macroalgae refers to thousands of macroscopic and multicellular seaweed species. The term includes some species of macroalgae such as Rhodophyta (red), Phaeophyta (brown), and Chlorophyta (green). Algae species such as kelp provide important breeding habitats for fisheries and other marine species, thereby protecting food sources; Other species such as plankton algae play an essential role in carbon sequestration and produce up to 90% of the Earth’s oxygen. Macroalgae, or large seaweeds, grow very rapidly and can reach extraordinary lengths up to 60 meters (McHugh, 2003). Their growth rates are much higher compared to many land plants. For example, wild brown algae can yield between 3.3 and 11.3 kg of dry biomass per square meter each year, and cultivated varieties can produce up to 13.1 kg in just seven months. In contrast, sugarcane, which is known for its high productivity, typically produces 6.1 to 9.5 kg of fresh biomass per square meter per year (Kraan. 2010). Additionally, macroalgae are available naturally in water bodies on a seasonal basis, and farming them in the ocean does not require traditional farming land or fertilizers. This makes them a promising option for addressing energy needs, as they are not only used for food and hydrocolloid extraction but also have potential for ethanol production. Humans have a long history of growing algae for uses such as food, food additives, feed, textiles and papers, bio-plastics. In recent years, seaweed farming has become a worldwide agricultural practice, providing food and feedstock for various chemical uses such as carrageenan, animal feed, biofertilizers and growth promoters. Due to its importance in marine ecology and carbon uptake, recent attention has focused on kelp farming as a potential climate change mitigation strategy for carbon dioxide biocapture, along with other benefits, such as reduced nutrient loads and increased habitat for coastal aquatic species, and reduced local ocean acidification in addition to biofuel opportunities. The seven most commonly cultivated algal taxa are Eucheuma spp., Kappaphycus alvarezii, Gracilaria spp., Saccharina japonica, Undaria pinnatifida, Pyropia spp. and Sargassum fusiform. Eucheuma and K. alvarezii are cultivated for carrageenan (a gelling agent); Gracilaria is grown for agar; while the rest is grown for food. Macroalgae production has become a cornerstone of global aquaculture, serving diverse industries such as food, biofuels, and pharmaceuticals

Introduction

Arid lands are among the world’s most fragile ecosystems, made more so by periodic droughts and increasing over exploitation of meagre resources. Arid and semi-arid lands cover around one-third of the world’s land area and are inhabited by about one billion people, a large proportion of whom are among the poorest in the world (Malagnoux et al. 2007). Arid environments are extremely diverse in terms of their land forms, soils, fauna, flora, water, and human activities. Aridity is usually expressed as ratio of mean annual precipitation (P) to the mean annual potential evapotranspiration (EPT) where potential evapotranspiration is calculated by method of Penman, taking into account atmospheric humidity, solar radiation, and wind speed. UNEP (1997) has recognized four main classes of aridity: hyper-arid (P/EPT < 0.03), arid (0.03 < P/EPT < 0.20), semi-arid (0.20 < P/EPT < 0.50), and dry sub-humid (0.50 < P/EPT < 0.65). Of the total land area of the world, the hyper-arid zone covers 4.2 %, the arid zone 14.6 %, and the semi-arid zone 12.2 % (FAO 1989). Therefore, almost one-third of the total area of the world is “arid land”. 

Abstract

The Himalayas of Himachal Pradesh is prone to landslides due to inherent geodynamic conditions, rainfall and anthropogeny. Besides multi-variate studies on the landslides of Himachal Pradesh, instrument based early warning system was attempted by taking Jhakri landslides as the test site. Various instruments viz; piezometer, vertical inclinometer, Rain gauge, etc. were installed and the paper discusses about the methodology adopted in the installation of the instruments and the observations made from the instruments. While Piezometer did not reveal much information, the Tiltmeter showed minor movements.

Introduction

The hot arid zones in India are spread over nearly 31.7 million hectare area of which 41.5 per cent is arable and 19 per cent is cultural wasteland. These zones are perpetuated mainly in North –West and Southern part of the country. The major parts of the country under hot arid climatic conditions are Western Rajasthan (19.62 Million ha), North-western Gujarat (6.2 M. ha), South-western Punjab (1.45 M. ha), South-western Haryana (1.28 M. ha), Andhra Pradesh (2.16 M. ha), Karnataka (0.86 M. ha), and Maharashtra ( 0.13 M. ha). These areas/ zones are characterized by hostile agro-climate and fragile eco-system, an annual rainfall between 100 – 500 mm with a coefficient of variation (CV) varying from 40 – 70 per cent, low and erratic rainfall combined with extremes of temperature (450-500 cal/cm²/day); low relative humidity; high potential evapo-transpiration value ranging from 1600 mm in eastern part and 1800 mm in western part of the hot arid zones. Other important characteristics of the hot arid regions are hot winds with high velocity, poor soil condition, poor ground water with brackish and saline in reaction, poor vegetation, frequent occurrence of drought and frost, difficult to execute agro-techniques, difficulty in post harvest handling and marketing owning to limited and inefficient transportation and marketing facilities, etc (Yadav and Soni, 2008).

Abstract

The landslide is a disaster which causes rampant loss to life, property and ecosystems. With increased awareness and technological development, the number of monitoring stations near hazardous regions have increased. To give warning prior to the occurrence of a landslide, the soil/rock mechanics of the underlying bed needs to be studied and understood. This paper examines the current literature and elucidates some features of state-of- the-art landslide monitoring systems.

Keywords: Field based sensors, Wireless sensor network, Landslide monitoring

INTRODUCTION

Advancements in technology have helped us to understand nature better than before, yet the geotechnical parameters causing landslides could not be quantified accurately. The efforts taken in predicting landslides are clearly moving towards this objective and this can be seen by the number of monitoring stations that have been setup in landslide prone areas around the world. The data that is obtained at each location is important in understanding landslides. Each location is unique in terms of soil properties, groundwater, inclination of the slope and weather conditions and consequently, each deployment is unique.

The paper narrates the instrumentation based forewarning systems functioning around the world. The paper discusses these aspects hierarchically viz; Landslide prone areas in India, geotechnical instrumentations and their merits, influence of rainfall on landslides, correlation between rainfall and pore pressure, the relevance of different systems for different scenarios etc.

Abstract

The landslide vulnerability of the state of Mizoram is already high due to lithology, structure, geomorphology and seismotectonics and also the rainfall, like the other states of the northeastern region of India. The extensive mining activities along the highways for the building and road materials appear to cause additional problems of landslides. So two prominent landslides occurring in Keifang and Tlungvel quarries,Mizoram were studied. Besides taking stock of the geosystems, boreholes were drilled in both slides and from the total depth drilled and the modified core recovery, the RQD were worked out for the rocks which indicates that geotechnically the rocks of Keifang quarry are weak when compared to Tlungvel quarry. The geophysical surveys too lead to similar inferences. On the basis of the studies a set of mitigation strategies have been suggested.

Introduction

R is one of the most popular platforms for data analysis and visualization currently available. It is free, open-source software, with versions for Windows, Mac OS X, and Linux operating systems. R is a language and environment for statistical computing and graphics, similar to the S language originally developed at Bell Labs. It’s an open source solution to data analysis that’s supported by a large and active worldwide research community. But there are many popular statistical and graphing packages available e.g. Microsoft Excel, SAS, IBM SPSS, Stata, and Minitab etc., however R has many interesting features so why it is mostly followed by researchers and academicians. Few of the major features of R are given below:

Crop diseases are a significant threat to agricultural production worldwide, posing a major challenge to food security, economic stability, and environmental sustainability. These diseases, caused by a variety of pathogens including fungi, bacteria, viruses, and nematodes, can have devastating effects on crop yields, quality, and overall plant health. The causes of crop diseases are complex and multifaceted, involving a combination of factors such as environmental conditions, plant susceptibility, and pathogen characteristics. Climate change, soil degradation, and water scarcity can all contribute to an increased risk of crop disease outbreaks. Additionally, the widespread use of monoculture farming practices, which involve the cultivation of a single crop species over large areas, can lead to a loss of genetic diversity and increased vulnerability to disease. The consequences of crop diseases are far-reaching and can have significant impacts on agricultural production, food security, and the environment. According to the Food and Agriculture Organization (FAO) of the United Nations, an estimated 20-30% of global crop production is lost to pests and diseases each year, with crop diseases accounting for a significant proportion of these losses. This translates to billions of dollars in economic losses and millions of tonnes of food lost, exacerbating food insecurity and poverty, particularly in developing countries. In addition to the economic and food security impacts, crop diseases can also have significant environmental consequences. The use of chemical pesticides and fungicides to control disease outbreaks can pollute soil, air, and water, harming beneficial organisms and ecosystems. Furthermore, the development of pesticideresistant pathogens can lead to the use of even more toxic chemicals, perpetuating a cycle of environmental degradation. In this chapter, we will explore the causes and consequences of crop diseases in greater detail, examining the complex interplay of factors that contribute to disease outbreaks and the impacts of these outbreaks on agricultural production, food security, and the environment. We will also discuss strategies for managing and controlling crop diseases, including the use of resistant crop varieties, integrated disease management (IDM) practices, and sustainable agriculture approaches.
3.1 Symptoms of Crop Disease
Crop disease refers to any abnormal condition or disorder that affects the health and productivity of crops, including plants, trees, and other vegetation.

Introduction

There is a growing interest in the role of different types of land use systems in stabilizing the atmospheric CO₂ concentration and reducing the CO₂ emissions or on increasing the carbon sink of forestry and agroforestry systems. Forestry has been recognized as a means to reduce CO₂ emissions as well as enhancing carbon sinks. There is considerable interest to increase the carbon storage capacity of terrestrial vegetation through land-use practices such as afforestation, reforestation, and natural regeneration of forests, silvicultural systems and agroforestry (Brown 1996; Canadell and Raupach 2008). Agroforestry systems are very important given the area currently under agriculture, the number of people who depend on land for their livelihoods, and the need for integrating food production with environmental services (Garrity 2004; Makundi and Sathaye 2004).

Introduction

The literatures and researcher data showed that there is negative impacts of agricultural expansion, landscape modification and deforestation on biodiversity, ecosystem services, alteringthe species composition and their ecological functions (Tscharntke et al. 2005; Priess et al. 2007; Flynn et al. 2009; Senior et al. 2013; Deguines et al. 2014; Kumar 2016) which can lead to considerable changes in critical ecosystem processes. On the other hand, an increasingly industrialized global economy, rapid population growth, land degradation, land use pattern and role of various human activities have led to dramatically increased the pressure on the natural resources such as the available land for sustaining the livelihoods, and with over exploitation and extraction of the natural resources the ecosystems are becoming unsustainable and fragile since last century (Kumar 2017). Standardization of cultural practices is one of the primary objectives to make the system ecologically, sustainable and economically viable (Gill et al.2009).

Introduction

Quantum Geographical Information System (QGIS) is an open source GIS environment. The software package is available freely in web https://www.qgis.org/en/site/forusers/download.html) and can be installed in a variety of computer platform e.g. Windows, Linux, Mac OS X, Android etc. Latest information on QGIS is available inhttp://www.qgis.org/en/site/. Basically, the QGIS GUI is divided into five areas: (i) Menu Bar, (ii) Tool Bar (iii) Map Legend, (iv) Map View and (v) Status Bar. QGIS allows users to define a global and project-wise coordinate reference system (CRS) for layers without a pre-defined CRS. It also allows the user to define custom coordinate reference systems and supports on-the-fly (OTF) projection of vector and raster layers. All of these features allow the user to display layers with different CRSs and have them overlay properly. QGIS has support for approximately 2,700 known CRSs. Definitions for each CRS are stored in a SQLite database that is installed with QGIS. The CRSs available in QGIS are based on those defined by the European Petroleum Search Group (EPSG) and the Institute Geographique National de France (IGNF) and are largely abstracted from the spatial reference tables used in Geospatial Data Abstraction Library (GDAL). For Post GIS layers, QGIS use the spatial reference identifier that was specified when the layer was created. For data supported by OGR, QGIS relies on the presence of a recognized means of specifying the CRS. In the following sections, few basic GIS analysis using example spatial data from arid western India is discussed. However, readers are advised to go through different tools and functions available in QGIS after installation of the system in personal computers.

Introduction

The Indo-Gangetic plain (IGP) is of great importance for the food security of India. It extends over 1,600 km with a width of 320 km, including the arid and semi arid environments in Rajasthan and Punjab and the humid and per humid deltaic plains in west Bengal (Shankaranarayana, 1982). During the green revolution period in the early 1960s, production increased through area expansion and intensification of the rice –wheat system. Driving forces included suitable thermal regimes for rice and wheat cultivation, development of short- duration, nitrogen responsive cultivars, expansion of irrigation and an ever increasing demand for food from the rising population. The rice –wheat system, covering an area of around 10 million hectares (mha), is the major cropping system in the IGP. These two crops together contribute more than 70 % of total cereals production in India from an area of around 25 mha under wheat and about 40 mha under rice. The small states of Punjab and Haryana contribute 20 % of the total national grain production and 50 % and 85 % of the government procurement of rice and wheat, respectively (Singh, 2000).