eBook Chapters

Executive summary

The enclosed project report envisages the setting up of a modern rice mill complex with attached parboiling facilities having an average processing capacity of 16 MT of paddy per day. The initial investment of the project is estimated to be Rs 480.17 lakhs. Sales Realization is assumed as constant for all the 7 years; amounted Rs 1129.2 lakhs. Pay Back Period for the project is estimated as somewhat more than 3 years. Internal Rate of Return for the project is 31%. Net Present Value is Rs.367.92 lakhs which is a positive value. It indicates that present value of cash inflows is greater than present value of cash outflows. Projected working results of the project throws light on its viability.

1. The syndrome resulting from the ingestion of toxin in a mold contaminated food is
a) Aspergillosis              b) Enterotoxicosis
c) Mycotoxicosis            d) Neurotoxicosis
2. Patulin is toxic to
a) Mice                           b) Fishes
c) Cattle                         d) Human beings
3. Alimentary toxic aleukia isolated from grain is produced by
a) Alternaria                   b) Cladosporium
c) Fusarium                   d) All of the above
4. Mold nephrosis, a disease in pigs has been associated with
a) Aflatoxin                    b) Patulin
c) Citrinin                      d) Ochratoxin

1. Maize is deficient in
a) Methionine        b) Lysine
c) Tryptophan        d) None
2. Winterization is accomplished to remove.
a) Waxes             b) Cloudiness of Oils
c) SFA                  d) All the above
3. What do you mean from ‘Dhal’ ?
a) Whole dehisced pulse             b) Whole cleaned pulse
c) Dehusked and splitted pulse   d) All the above
4. The separation of the bran from the endosperm of which cereal grain in more difficult.
a) Rye             b) Wheat
c) Triticale       d) None of above

1. The food qualities such as taste, odour, colour etc. are measured in term of
a) Quick index            b) Organoleptic scale
c) Score card              d) Hedonic scale
2. In UV spectroscopy samples are typically placed in a.
a) Transparent cell     b) Cuvette
c) Silicon glass           d) Both a and b
3. A definite area or a space where some thermodynamic process takes place is known
as.
a) Thermodynamic law            b) Thermodynamic process
c) Thermodynamic system      d) Thermodynamic cycle
4. LMTD in case of parallel flow compared to counter flow would be.
a) More                       b) Less
c) Same                      d) Negative

1. Which the increase in temperature, the tensile strength and elastic modulus of material
a) Increase                     b) Decrease
c) Remains constant      d) None
2. Screens are used for mechanical reparation of
a) Solid liquid mixture     b) Solid gas mixture
c) Solid solid mixture      d) Liquid liquid mixture
3. Primary treatment of waste water in a plant will cause a drop of about ……… in the BOD.
a) 60%                           b) 50%
c) 30%                           d) 40%
4. Kicks assumed that the energy required to reduce the material in size was _____________ proportional to the size reduction ratio.
a) Directly                     b) Inversely
c) Equally                      d) None

1. Which acid is found in carbonated non alcoholic beverages?
a) Propionic acid         b) Acetic acid
c) Citric acid                d) Phosphoric acid
2. Ripening of cheese in presence of fungus penicillium roqueforti results change in
a) Texture                    b) Flavor
c) Colour                     d) Both a and b
3. Microorganism responsible for discoloration in fish during spoilage.
a) Alcaligenes             b) Flavobacterium
c) Pseudomonas        d) Rhodotorula
4. Common microbial contaminant is poultry (freshly dressed, eviscerated) food product in
a) Coliforms                b) Pediococcus sp.
c) Bacillus subtilis       d) Pseudomonas

1. Texture property of paneer can be best represented by
a) Hardness                    b) Gumminess
c) Springiness                 d) Chewiness
2. Electromagnetic radiation wave length for UV, VIS, NIR radiation should be
a) 300-400 nm, 400-765 nm, 765-3200 nm
b) 765-3200 nm, 400-765 nm, 300-400 nm
c) 400-765 nm, 300-400 nm, 765-3200 nm
d) 300-400 nm, 765-3200 nm, 400-765 nm
3. Voigt model (Kelvin model) consists of
a) Spring and dashpot in series      b) Spring absent
c) Dashpot absent                           d) Spring and dashpot in parallel
 

1. Speed of bucket elevator ranges from
a) 2.5 to 2.8 m/s                    b) 2.5 to 4.0 m/s
c) 3.5 to 6.0 m/s                    d) 5.0 to 10.0 m/s
2. The fundamental principle of pressure nozzle is the conversion of pressure energy into
a) Mechanical energy          b) Rotational energy
c) Kinetic energy                 d) Static energy
3. Which conveyer is used for transporting the large quantifier of materials over a very large distance at a low cost
a) Belt conveyer                  b) Chain conveyer
c) Pneumatic conveyer       d) Screw conveyer
4. …………………..conveyer is used to convey sticky materials.
a) Belt conveyer                  b) Chain conveyer
c) Pneumatic conveyer       d) Screw conveyer

1. Euricic acid containing group mainly contains which oil
a) Cocoa butter                         b) Groundnut oil
c) Rapeseed /mustard oil         d) Sesame oil
2. Other name of lecithin is
a) Phosphatidyl choline            b) Phosphatidic acid
c) Phosphatidyl ethyl amine     d) Phosphatidyl alcohol
3. Denaturation of proteins means
a) Loss of primary structure
b) Loss of three dimensional structures
c) De-polymerization
d) Copulation

1. In tea, fermentation, the micro organisms involved in
a) Fusarium                b) Aspergillus
c) Alcaligens               d) None
2. The content of CO2 in beer is about
a) 0.02 – 0.06 %         b) 1.78 – 2.01 %
c) 0.45 – 0.52 %         d) 0.60 – 0.92 %
3. Meat is irradiated to present the outbreak of
a) Shigella                  b) Salmonellosis
c) T.B.                        d) Fever
4. Egg quality is manually checked by seeing it through a temperature it is called
a) Lightening             b) Lamping
c) Sorting                  d) Candling

1. Pressurized packed foods are called
a) Baro foods      b) Aerosols
c) Aceituno         d) Barges
2. Fo value is F value when Z is equal to
a) 10                    b) 12
c) 16                    d) 18
3. Dole process is the example of
a) Heat- cool- fill               b) Bold sterilization
c) Batch pasteurization    d) Fast canning
4. Mustard oil is effective against
a) Saccharomyes cerevisae            b) Penicillium notatum
c) Clostridium botulinum                  d) All the above

1. Enzymes are made up of
a) Carbohydrates          b) Proteins
c) Fats                           d) Lipids
2. Immediate precursor of chlorophyll a and chorophyll b is
a) Protochlorophyllide  b) Haemoglobin
c) Biluribin                    d) Xanthophylls
3. Water soluble flavonoid pigments are
a) Lycopene                 b) Lutein
c) Anthocyanins           d) Carotene
4. Which enzyme is used for the production of maltose syrup
a) Destrin                     b) Fungal alpha-amylase
c) Ligase                      d) Dextrose

1. All microorganisms need
a) Nutrients                     b) Water
c) Specific temperature  d) All of above
2. Antioxidant in foods
a) Enhance shelf life             b) Prevent oxidation reaction
c) Decrease deterioration     d) All the above
3. Thermophilic bacteria grow at
a) Low temperature               b) High temperature
c) Medium temperature         d) All of the above
4. Preservation method which involves removal of water
a) Drying                           b) Canning
c) Sterilization                   d) Pasteurization

1. Ascorbic acid is the chemical name of
a) Vitamin K               b) Vitamin C
c) Vitamin B               d) Vitamin A
2. In alkalimetric titrations, the titrant is
a) Iodine                    b) NaOH
c) EDTA                     d) Magnesium
3. EDTA is a
a) Tetradentate Ligand          b) Octadentate Ligand
c) Pentadentate Ligand         d) Hexadentate Ligand
4. The indicator used in the EDTA method is
a) Erichrome black T             b) Benzene
c) Phenopthalene                  d) Ethylene diamine

1. …………….. regulates that flow of substances in and out of the cell
a) Cytoplasm                b) Cellwall
c) Ribosome                 d) Cell membrane
2. Bacterial cell lack in which organelle?
a) True nucleus            b) Mitochondria
c) Chloroplasts             d) All
3. Bacterial cell wall is made of
a) Lipid                         b) Protein
c) Phospholipids          d) Peptidoglycan
4. Fungi cell wall is made of
a) Chitin                       b) Protein
c) Phospholipids          d) Peptidoglycan

1. The process preservation of fruits and vegetable with common salt and vinegar is
called
a) Fermentation               b) Pickling
c) Steeping                      d) Asepsis
2. The by product of apple is
a) Rags                           b) Peel
c) Pomace                      d) Stones
3. Fruit for making jelly should be rich in
a) Pectin and acids         b) Acids and protein
c) Protein and sugars     d) Sugars and acids
4. Sweetest sugar in fruit is
a) Sucrose                      b) Fructose
c) Glucose                      d) Galactose

1. Defects in fresh egg include
a) Bloom                  b) Meat spots
c) Cracks                 d) All of them
2. Green rots in eggs is caused by
a) P. fluorescens                  b) P. graveolens
c) Achromobacterperolens  d) Paracolobactrum
3. Proteus causes spoilage of eggs by producing
a) Red rots               b) Colorless rot
c) Black rots             d) Pink rot
4. Hay odor in fishes is caused by
a) Sporotrichum       b) Enterobacter cloacea
c) P. fluorescens      d) Cladosporium

1. Which of the following states has nutrient use of < 100 kg/ ha?

(a) Madhya Pradesh                (b) Karnataka

(c) West Bengal                       (d) Uttar Pradesh

2. Which of the following is the leading state in maize production

(a) Bihar                                   (b) Uttar Pradesh

(c) Punjab                                (d) Gujarat

Rivers are the most important system for water, for irrigation and human settlement. Historically, civilizations always nucleated near rivers, and latter also had social and religious significance. Rivers in India are considered holy and play the most important part in the lives of people, fauna & flora and the future environmental system.

The Ganga Basin is the largest river basin in India which includes the Ganga, the Yamuna, the Ghagra, the Gandak, the Kaveri basin etc. Compared to these, the Vishwamitri River, situated between Mahi River in North and Narmada River in South in Central Gujarat is a small seasonal river but it is very important for the city of Vadodara and Central Gujarat region. This seasonal river originates from Pavagadh hills and flows east to west. It is a typical small river with the kind of problems in most rivers in India and other countries – liquid and solid wastes, enouncements, blocking of water ways, floods in monsoon months and dry dumping basin during most other months etc.

Rivers are the most important system for water, for irrigation and human settlement. Historically, civilizations always nucleated near rivers, and latter also had social and religious significance. Rivers in India are considered holy and play the most important part in the lives of people, fauna & flora and the future environmental system. The Ganga Basin is the largest river basin in India which includes the Ganga, the Yamuna, the Ghagra, the Gandak, the Kaveribasin etc. Compared to these, the Vishwamitri River, situated between Mahi River in North and Narmada River in South in Central Gujarat is a small seasonal river but it is very important for the city of Vadodara and Central Gujarat region. This seasonal river originates from Pavagadh hills and flows east to west. It is a typical small river with the kind of problems in most rivers in India and other countries – liquid and solid wastes, enouncements, blocking of water ways, floods in monsoon months and dry dumping basin during most other months etc.
RIVERS & THEIR REVIVAL
River basin planning and watershed management were the centerpieces of water resource planning at the dawn of the era. For most of the century, however, natural resource policies and pressures led to watershed degradation. Today, the resources value of watershed ecosystems are being rediscovered. Watershed management reflects the recognition that we can only sustain biodiversity by managing the future ecosystem.
VISHWAMITRI RIVER
In a well researched book ‘Vishwamitri Mahatmyam’ edited by Thaker of oriental Institute – Vadodara the history, glory and mythological details of the ancient river Vishwamitri has been brought out. It is said that the river

We visited The Model Sea Farm Project under the Royal Initiative of Her Majesty Queen Sirikit on 10/10/2023 at 1 pm It is a government farm located at Phetchaburi Coastal Aquaculture Research and Development Center. The purpose of the visit was to learn more about seaweed production and zero waste aquaculture system.

1) Sea ranching

Species used for sea ranching was Banana shrimp (Fenneropenaeus merguiensis). 2 months old shrimps were collected from tank and used for ranching

Assumptions

    ·    Freshly calved animals in 1st or 2nd lactation are purchased in two batches of five animals each at an interval of 5 to 6 months.

    ·    Cost of rearing calves not considered as it will be nullified by their sale value or retention value.

    ·    Fodder cultivation considered in two acres and working capital for one crop / season considered. Two crops considered per year.
 
    ·    Manure is utilized for fodder cultivation.

Modeling phytonematodes is helpful in the investigation of several host plant interactions and may yield useful information to be exploited in the integration of management strategies and biological control. Modeling the phytonematodes density changes in a soil/root microcosm may allow the identification of main factors active in such systems (Ciancio et?al?, 2022). The multiple tri-trophic interactions linking roots, phytonematodes and antagonists, however, originate a very complex system. It requires knowledge about the many parameters describing the nematode life stages, the interactions with the antagonistic organisms present in the microcosm, as well as their capabilities for effective and durable host regulation. Descriptive variables should also account for the effects of roots and of other environmental factors at work in the tri-trophic interaction system. Models may provide benefits, including the possibility of identifying the best moment for the inoculation of a biocontrol agent, the optimal amount of its inoculum applied to maximize its biocontrol efficacy, as well as the possibility to simulate and thus investigate its behavior once introduced in soil.

Abstract

The increasing interest in polyphenolic compounds in industries has led to the exploration and exploitation of rich bio-compounds from natural sources, essentially plants and their by-products. Solid-liquid extraction is mostly applied for the recovery of these valuable compounds from plants. Since the extraction process is often difficult in a fresh matrix, a drying operation is needed to reduce the moisture content, and preserve the targeted valuable compounds. An uncontrolled drying operation will lead to product damage and hence, loss in quality, reason why, several studies have been carried out to understand and control the drying process. The present chapter aims to present some data on drying for bioactive compound recovery from plants and their by-products, mainly polyphenolic compounds. Our main interest is the mathematical tools used to model the drying process.

Abstract

There are several empirical models to describe deep bed drying dividing the domain into many thin layers. Empirical equations are seen as a resource that only serves to describe the thin layer drying kinetics of an agricultural product. Normally an empirical model is used to determine drying rate. The validity of following thin-layer drying models are accounted by coefficient of correlation (R2), standard error of estimated (SEE), root mean square error (RMSE). The properties of dried foods vary substantially depending upon the type of product, moisture content, drying type and ultimately drying conditions. To take care all above variables, a promising approach is to use Artificial Neural Network (ANN). In process control, the main objectives are food safety, high quality and yield at minimal costs. To obtain high quality products, on-line control techniques are required. Most food processes are highly nonlinear, with time varying dynamics, which complicates food automation. However, the recent developments in artificial intelligence based advanced control tools such as ANN to food processing have opened up novel possibilities for processing industries.

The UNFCCC (United Nation Framework Convention on Climate Change) has defined climate change as “a change in climate which is attributed directly or indirectly to human activity that alters the composition of global atmosphere which is in addition to natural climate variability” (UNFCCC, 2008). Ruminant animals, such as cattle, sheep, buffalo, and goats, are unique due to their special digestive systems which can convert otherwise unusable plant materials into nutritious food and fiber. This same helpful digestive system, however, produces methane (CH₄), a potent green house gas (GHG) that can contribute to global climate change. Livestock production systems can also emit other greenhouse gases such as nitrous oxide (N₂O) and carbon dioxide (CO₂). The most important GHG?s are CO₂, CH₄ and N₂O, which have increased in the last 150 years and have different global warming potential. According to Sejian et al., (2011) and Solomon et al., (2007), the warming potential of CO₂, CH₄ and N₂O are 1, 25, and 310, respectively. Taking into account the entire livestock commodity chain – from land use and feed production, to livestock farming and waste management, to product processing and transportation –Livestock?s Long Shadow attributes about 18 percent of total anthropogenic GHG emissions to the livestock sector (FAO, 2006). The Intergovernmental Panel on Climate Change (IPCC), convened by the United Nations, has reported evidence that human activities over the past 50 years have influenced Global Climate through the production of GHG, which results in increased absorption in the atmosphere of infrared radiations emitted from the earth?s surface. The accumulation of GHG results in increased global temperature which in turn can increase annual precipitation in high rainfall regions and decrease precipitation in regions of low rainfall (Gerstengarbe and Werner, 2008). This will affect water supplies, distribution of deserts and wet areas, the range and number of pests that affect plants or diseases and biodiversity.

Abstract

Prediction of the occurrences of Landslides requires a set of complex analyses, involving multitude of factors which are to be studied systematically in order to evaluate the landslide vulnerability. The increasing availability of computer-based tools and data storage capabilities are found to be useful in landslide vulnerability mapping. One such significant tool in landslide studies is Geographic Information System (GIS). In this article some approaches were made to model the land slide hazard for Sirumalai Hills, Dindigul District, Tamil Nadu, India using Geographical Information Systems and the same is presented in this paper.

Introduction

Climate variability can have significant impacts on agricultural production, affecting both the demand and supply sides of farming. As climate change continues to negatively impact our ecosystem, food production, and human livelihood, this topic has gained widespread attention from researchers and academics worldwide. Given that agriculture is highly dependent on factors such as precipitation and temperature, it is considered one of the most climate sensitive sectors (Sagar et al., 2022).

Climatic data is complex and nonlinear, with significant fluctuation across time components, resulting in greater volatility. This means that stochastic climatic variables, including rainfall, temperature, relative humidity, and other weather parameters, often exhibit conditional heteroscedasticity, leading to irregular residual mean and variance across time series.

4.1 Introduction

The developed or commercially available models can be applied for any water bodies such as fresh water lakes, ponds, rivers, estuaries and marine ecosystems. The predicted results can be compared with proved with field data and existing approved models and applies to the other such ecosystems. In this chapter, we can discuss about modeling of water bodies, water quality model, spatial discretizafion, modeling pollutants and toxicants, concentration modeling, hydrodynamic mixing zone analysis.

4.2 Modeling of Water bodies

The need for predictive water quality modeling has arisen largely as a result of increased eutrophication of lakes throughout the world (Forsberg, 1987; Canfield and Hoyer, 1988). The most common modelling approach is exemplified by the development and application of steady state, input-output models. Generally, nutrient concentrations are calculated from net inputs and chlorophyll a concentration is predicted by correlation with the limiting nutrient, most often phosphorus (Dillon and Rigler, 1975; Canfield and Bachmann, 1981; OECD, 1982).

Factors that can also influence phytoplankton biomass, such as light, climate, biological interactions and internal loading of nutrients, are not considered. Further more, the assumption that a lake is a continuously mixed system is very restrictive and only applicable at discrete times of the year. As a result, the shortcomings of such approaches include an inability to make predictions in the face of varying physical and biological conditions, and a failure to offer insights into the determinants of changing water quality.

7.1 Introduction

The coast is one of the most important boundaries in the world. It separates the marine part of the world from the continents. It separates the salt-water communities from fresh water communities; it separates land life from water borne life but amphibians living both environments (Fig. 7.1).

Some of the marine organisms move towards estuary for reproduction with less water salinity. The coastline as such is not a stable. It fluctuates in place over considerable distances due to erosion and sedimentation, but also due to the relative change of sea level with respect to land. The coastal zone is thus a very mobile part of the earth from a geographical point of view. Due to its specific geophysical properties, the coast is also a very important area for the development of flora and fauna. There is hardly any other part of the world that houses such a variety of species, both in flora and fauna.

The abundance of opportunities along the coast has also attracted a lot of human activities. The coastal zone has become an indispensable resource for mankind. It provides excellent opportunities for fisheries, housing, recreation, transport, defense purpose, industrial activities and many others. The influx of man with their social and economic activities, their needs for safe housing, food, drinking water, and with the tremendous quantities of waste they are producing poses at the same time a serious threat to the unique features of the coastal zone. It is therefore necessary to study this valuable region so as to prevent that competing activities are gradually causing depletion of the resources in the coastline. The following figures (Fig. 7.1and 7.2) show the typical coastal area of rocky coast and sandy coast.

8.1 Introduction

A lake is a body of water or other liquid of considerable size surrounded entirely by land (Fig. 8.1). A vast majority of lakes on Earth are fresh water, and most lie in the Northern Hemisphere at higher latitudes. In ecology, the environment of a lake is referred to as lacustrine.

Fig 8.1 A Typical Lakes

Large lakes are occasionally referred to as “inland seas” and small seas are occasionally referred to as lakes. Smaller lakes tend to put the word “lake” after the name, as in Green Lake, while larger lakes often invert the word order, as in Lake Ontario, at least in North America. The term lake is also used to describe a feature such as Lake Dal, which is a wet basin most of the time but may become filled under seasonal conditions of heavy rainfall and snowfall. Many lakes are artificial and are constructed for hydro electric power supply, recreational purposes, industrial use, agricultural use, or domestic water supply.

10.1 Introduction

Biochemical Oxygen Demand (BOD) is a chemical procedure for determining how fast biological organisms use up oxygen in a body of water. It is usually performed over a 5 day period at 20 C. It is used in water quality management and assessment, ecology and environmental science. BOD is not an accurate quantitative test, although it could be considered as an indication of the quality of a water source.

10.2 Typical BOD values

Most pristine rivers will have a 5-day BOD of less than 1 mg/l. Moderately polluted rivers may have a BOD value in the range of 2 to 8 mg/l. Municipal sewage that is efficiently treated by a three stage process would have a value of about 20 mg/l. Untreated sewage varies, but averages around 600 mg/l in India and as low as 200 mg/l in the U.S., or where there is severe groundwater or surface water infiltration. Slurry from dairy farms is around 8000 mg/l and silage liquor around 60000 mg/l.

5.1 Introduction

The water quality modeling methodologies are started from conceptual models such as defining the problem in a particular region of interest like fresh water ecosystem, coastal ecosystems, ocean ecosystems, the following methodology can be studied carefully for water quality modeling.

Identification of problems in the region of interest

Monitoring of field data using standard methods like APHA, USGS, BIS etc.

Evaluation of primary data for the toxins, higher amount of concentration from the ambient conditions

Processing of primary data to secondary data

Based on the primary data and secondary data, suitable modeling software can be used. If the temperature of the region is higher than the ambient, it should be used Qual2E, MIKE21 etc.

Modeling results can be compared with field data for calibration and validation.

9.1. Introduction

Oceans (from Okeanos in Greek) are saline waters that cover almost three quarters (71%) of the surface of the Earth. The area of the oceans is 361 million sq. km., and nearly half of the world’s marine waters are over 3,000 meters deep.

Though somewhat arbitrarily divided into several “separate” oceans, these oceans are in fact one global, interconnected body of salt water, often called the World Ocean. The major divisions are defined in part by the continents and a variety of archipelagos, and are labeled the Pacific Ocean, the Atlantic Ocean, the Indian Ocean, the Southern Ocean, and the Arctic Ocean. Smaller regions of the oceans are called seas, gulfs and straits.

There are a some smaller bodies of salt water that are not interconnected with the World Ocean. These are not considered to be oceans or parts of oceans, though some of them have been given the name, sea.

Geologically, an ocean is an area of oceanic crust covered by water. Oceanic crust is the thin layer of solidified volcanic basalt that covers the Earth’s mantle where there are no continents. From this point of view, there are three “oceans” today: the World Ocean, and the Black and Caspian Seas that were formed by the collision of Cimmeria with Laurasia. The Mediterranean Sea is very nearly its own “ocean”, being connected to the World Ocean through the Strait of Gibraltar, and indeed several times over the last few million years movement of the African Continent has closed the strait off entirely, making the Mediterranean a fourth “ocean”.

3.1 Introduction

By the end of the twentieth century one of our most important scientific accomplishments has been the explicit realization that the human population is changing the earth system. Some of these changes are occurring at a remarkable rate. We know, with certainty, that human activities are changing land use, habitats, the chemistry of the Earth’s atmosphere and water, rates and balance of biogeochemical processes, and diversity of life on the planet (Vitousek et al. 1997). One prominent mode of human disturbance has resulted from activities that mobilize the nutrient elements nitrogen and phosphorus through land clearing, production and applications of fertilizer, discharge of human waste, animal production, and combustion of fossil fuels (Nixon 1995).

As a result of these activities, surface waters and ground waters throughout the world now have elevated concentrations of N and P compared to concentrations even in the middle of the 20th century. Our mobilization of N and P has accelerated the fluxes of these elements to coastal waters, and fertilization of coastal ecosystems is now a serious environmental problem because it stimulates plant growth and disrupts the balance between the production and metabolism of organic matter in the coastal zone. Coastal eutrophication is a recently recognized phenomenon (Nixon 1995), and scientific investigation of this human disturbance has progressed for only a few decades, so our conceptual model of the problem is evolving rapidly. Here, I describe 2 phases in the evolution of our conceptual model of how nutrient enrichment disrupts coastal ecosystems, and then finish with a view to the future, suggesting critical questions that must be answered as we work to advance and broaden our understanding of this complex environmental problem. This examination of conceptual models is designed as a complement to the excellent general reviews of coastal eutrophication (Vollenweider 1992, Heip 1995, Nixon 1995, Jørgensen & Richardson 1996, National Research Council 2000).

6.1. Introduction

A river is a large natural waterway. The source of a river may be a lake, a spring, or a collection of small streams, known as headwaters. From their source, all rivers flow downhill, typically terminating in the ocean. The mouth, or lower end, of a river is known as its base level.

A river water is confined to a channel, made up of a stream bed between banks. Most rainfall on land passes through a river on its way to the ocean. Smaller side streams that join a river are tributaries. The scientific term for any flowing natural waterway is a stream; so in technical language, the term river is just a shorthand way to refer to a large stream. Rivers throughout history have been the source and support for civilization, and many major cities today are near a river of some sort (Fig. 6.1).

6.1.1 Topography

A river conducts water by constantly flowing from a higher to a lower elevation, thereby converting the potential energy of the water into kinetic energy. It starts to form loops and snakes through the plain by eroding the river banks. Sometimes the river will cut off a loop, shortening the channel and forming an oxbow lake from the cut off section. Rivers that carry large amounts of sediment may develop conspicuous deltas at their mouths, if conditions permit. Rivers, whose mouths are in saline tidal waters, may form estuaries. River mouths may also be rias.

7.1 Introduction

Energy has become a critical input for the economic development of the India because of the wide spread scarcity of oil and electricity and other commercial form of energy.

The rural areas are often the worst affected because of these shortages and the rural population continues to depend on the inefficient non-commercial energy from like fire wood, cow dung, human and animal for meeting their energy requirement for subsistence, production and devolvement needs.

The rural energy crises or “The energy crisis” has been getting increased attention from the policy makers to tackle the problem in a planned and integrated manner.

The rural energy sector is concerned with two major planning issues.

1. Provision of energy for meeting substance needs for cooking, heating and lighting of the rural areas of the country. This problem is also directly linked to the problem of deforestation and environmental destruction being caused in the rural area because of indiscriminate and wide spread use of non conventional energy sources.
2. Meeting energy requirements for production activities which would create employment and productivity in rural areas.

1. Introduction
Water is the most crucial input for agricultural production. Globally, more than 80% of all freshwater used by humans are consumed in agriculture and most of it are for crop production (Morison et al., 2008). Currently about 60% of production in developing countries is derived from rainfall. Though irrigation provides only 10% of agricultural water use and covers just around 20% of the cropland, it can contribute about 40% of total food production since productivity of irrigated land is almost three times higher than that of rainfed land. The Food and Agriculture Organization (FAO) has predicted a net expansion of irrigated land of about 45 million is hectares in 93 developing countries (for a total of 242 million hectares in 2030). It projected that water withdrawals by the agriculture sector will increase by about 14% during 2000 – 2030 to meet the growing food demands (FAO, 2006). It is estimated that by 2050 in India, about 22 % of the geographic area and 17 % of the population will be under absolute water scarcity. The per capita availability of water which was about 1704 cubic meter in 2010 is projected to be 1235 cubic meter in 2050 (Anonymous, 2011). Infrastructure to increase the command area and minimize the gap of irrigation potential created and utilized is the dominant component of overall investment in agriculture (Anonymous, 2011). Besides this, judicious agricultural water management assists in ensuring good returns through efficient use of fertilizers and high yielding crop varieties. Above all, water will remain as a critical input for attaining sustainability in agricultural production. India’s current water supply is approximately 740 billion m3, which necessitates implementation of judicious water management technologies to enhance crop water productivity. In recent decades the world’s population has shown tremendous growth from an estimated 2.5 billion in the 1950’s to approximately 6.7 billion till date. It is expected that reduction in the average size of land holding, declining per capita water availability, deterioration of water quality etc. will seriously affect the sustainable use of water resources and will make it difficult to accomplish the target of producing 345 Mt of food grain in 2030 and 494 Mt in 2050 AD. To achieve the targeted food production, increase in the crop productivity from the present 2.3 to 4.0 t ha-1 under irrigated conditions and from 1.0 t ha-1 to 1.5 t ha-1 in rainfed area, productivity need to be increased at individual field level. This demands efficient use of water in agriculture, which can be achieved by reducing the losses of water and increasing the water uptake by the crops and it requires quantification of different water budgeting parameters like evapotranspiration and deep percolation.

ABSTRACT

Magnolia campbelii Hook.f. & Thomson is a deciduous tree species belonging to Magnoliaceae and is highly valued for its ornamental uses. The species is threatened by habitat degradation as well as its utility as timber. It is distributed in the eastern Himalaya, southern Myanmar, and Yunnan province of China. However, its exact distribution in the eastern Himalaya is unknown owing to rough terrain and remote location of the Himalayas. We modelled the environmental niche and delineated the potential habitats and distribution areas of the species in this study using ENVIREM dataset and Maxent software. Thermicity Index and Topographic Wetness were the critical environmental variables determining the species distribution in the eastern Himalaya as revealed by Jackknife analysis. Geographical projection of the modelled environmental niche indicates that most suitable areas for its distribution are the western part of Arunachal Pradesh, few pockets in Sikkim, and the central part of Bhutan. The results of the study have implications for in situ conservation of the species as well as identifying suitable areas for reintroduction.

Models Definitions

In social science research a model is a tentative description of what a social process, say the communication process or a system might be like. It is a tool of explanation and analyses, very often in a diagrammatic form, to show how the various elements of a situation being studied relate to each other.

The term model can also refer to a particular process or object, which is used as a point of reference, when an attempt to explain the unknown is being made. It basically comprises involving an analogy to throw up the similarities between the phenomena to be explained and one, which is well known, i.e., the model.

The simplest definition of a model is that it is an analogue. A model is a relatively well-developed analogy. Given two objects or processes which are dissimilar in many respects, one is an analogue of the other to the extent that the physical or logical structure of one re-presents the physical or logical structure of the other.

The advantage of models in communication research is that it allows the researcher to account for different variables in different communication situations. Models only represent systems or processes. Since they are not real, they are just symbolic ways of looking at systems to help us to think about them more lucidly. Again since models do now show every part of a system, they are usually incomplete in that sense. Even those that are shown are represented only in enough detail to help us look at the processes or features in which we are interested. Models give us an idea of complicated objects or events in a general way. They enable us to see how a particular communication event fits into the general pattern. They provide a classification for an old problems, and familiar events. They help us by providing a structure of references for purposes of study. Theories are not models and the most fundamental difference between a theory and a model is that the former is an explanation whereas the latter is a representation.

Introduction

The soil is an invaluable resource that sustains life in innumerable ways. It provides a dynamic foundation for agriculture, supporting growing crops, and serving as a habitat for organisms. It plays a crucial role in maintaining biodiversity. Additionally, soil acts as a filter, purifying and storing water, and it reserves essential plant nutrients. however, soil resources face various threats that endanger their health and productivity. Soil erosion, the removal of the top layer of soil through natural or human-induced processes, poses a significant challenge. It not only leads to a loss of fertile soil but also causes widespread environmental degradation, and reduced agricultural productivity in response to this difficulty, soil conservation emerges as a principal priority. Soil conservation incorporates a range of practices and strategies to prevent soil erosion, and promote sustainable land use. By adopting and implementing effective soil conservation measures, we can safeguard this irreplaceable resource for future peers and ensure food security and environmental sustainability.

The main highlight of the study is to shed light on the causes and consequences of soil erosion, exploring different conservation practices and techniques; also to understand the vital processes and factors contributing to soil erosion, including wind and water erosion. Additionally, to study its impact on soil and crop production and strategies for different conservation practices to mitigate erosion, preserve soil fertility, and ensure the long-term sustainability of our agricultural systems and ecosystems.

Abiotic Stress Tolerance: The ability of plants to withstand and adapt to nonliving environmental stressors, such as drought, salinity, or extreme temperatures. Afforestation and Reforestation: Afforestation involves planting new forests in previously non-forested areas, while reforestation involves restoring degraded or deforested lands with trees to sequester carbon. Agrarian Society: A society characterized by agriculture as the primary means of subsistence and economic activity. Agrarian: Pertaining to the cultivation of land, agriculture, or rural life. Agribusiness: The commercial activities, including production, processing, and distribution, related to agriculture and farming. Agricultural Chemistry: A branch of chemistry that focuses on chemical processes and substances related to agriculture, including soil chemistry, fertilizer composition, and pesticide development. Agricultural Diversification: The strategy of expanding the range of crops, livestock, or other agricultural activities in a rural area to increase income and food security. Agricultural Economics: A branch of economics that focuses on the production, distribution, and consumption of agricultural goods and services, as well as the economic factors and policies that influence agricultural markets. Agricultural Extension: The application of scientific research and new technologies to agricultural practices through education and advisory services. Agricultural Innovation: The process of developing and adopting new ideas, practices, and technologies in agriculture. Agricultural Machinery: Various mechanical devices and equipment designed for use in farming, such as tractors, plows, and harvesters. Agricultural Subsidies: Financial incentives provided by governments to farmers or agricultural producers to support their production, stabilize prices, or achieve other economic or social objectives. Agriculture: The science and practice of cultivating crops, raising livestock, and managing resources for food production and other agricultural products. Agroecology: The scientific discipline that applies ecological principles to the design and management of sustainable agricultural systems, focusing on biodiversity, nutrient cycling, and reduced environmental impact.

Modern and transgenic breeding approaches consist of modern plant breeding triangle, high-throughput phenotyping (HTP), marker-assisted selection (MAS), marker-assisted backcrossing (MABC), genomic selection (GS), genome-wide association study (GWAS), and genome editing. MAS accelerates trait identification through DNA markers, improving efficiency in selecting plants with desired traits. MABC employs molecular markers to facilitate gene introgression from donor parents (DPs) to superior recurrent parents (RPs). GS employs genome-wide markers to predict performance, revolutionizing breeding by considering both major and minor-effect quantitative trait loci (QTLs). Genome editing techniques like CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats associated protein 9) enable targeted gene modifications for desired traits. Genome editing involves selecting target genes, designing guide RNAs for Cas9, and introducing the CRISPR-Cas9 system into plants. This technology has been utilized to enhance crop productivity, sustainability, and disease resistance. Transgenic crops are designed to carry specific traits, such as pest resistance, virus resistance, abiotic stress tolerance, and nutritional enrichment. Agrobacterium tumefaciens is highlighted as a tool for transgene introduction, offering advantages like low copy number integration and stable expression. Genetic engineering remains a promising avenue for creating disease-resistant crops and ensuring global food security.

Survival strategies of some plants help them to thrive in any adverse environmental conditions. We classify them as weeds or ruderals. Such weedy species have developed unique and effective physiological traits to withstand various stresses, and unique mechanisms to regulate growth under adverse environments. Climate change is a harsh reality observed in different parts of the world which brings new challenges in crop production and weed management.

Introduction of biotechnological tools in weed science and management has given new dimensions to weed research.

Soil fertility evaluation is conducted for providing an adequate supply of essential plant nutriens to ensure optimum plant productivity, while maximising economic benefits and minimising environmental degradation.
 
Mathematical modelling of nutrient application

The significance of an essential plant nutrient was contained in the Liebig’s law of minimum.