eChapters

ABSTRACT

The exponential growth of population and rapid industrialization, urbanization, deforestation and improper landuse practices have led to depletion and pollution of surface and ground water resources in Tamilnadu, India. In addition, a recurrent monsoonal failure further aggravates the problem of water even for drinking water. Water plays vital role in our day to day life and other developmental activities in the area. Thus, the availability of surface and sub surface water potential governs the processes of planning and development. The surface water resources are inadequate to fill the water demand and productivity through ground water is quite high as compared to surface water. Keeping this in view, the present study is aimed to identify the potential location of potable groundwater exploration in hard rock terrain. Thematic information on geomorphic landforms, Landuse/landcover and lineament details are extracted from remotely sensed data. Geology, Soil class, Drainage network and Slope map of the terrain were prepared using existing maps and collateral data by conventional method. GIS based model was developed and appropriate rank and weightage had been assigned to all categories based on local conditions/variations in each layer according to relative contribution towards the desired output. Since the present study built with logical condition and reasoning rule based approach for groundwater targeting, it has been successfully used and clearly demonstrated the capability of Remote Sensing and GIS techniques in identification of potable ground water potential zones.

Key Facts
    
•    The United Nations Framework Convention on Climate Change (UNFCCC) defines ‘climate change’ as a ‘Change of climate which is attributed directly or indirectly to human activity that alters the composition of the global atmosphere and which is in addition to natural climate variability observed over comparable time periods’.
    
•    The main green house gases (GHG) that have caused the global climate change or global warming are carbon dioxide (CO₂), methane (CH₄) and nitrous oxide (NO₂).
    
•    CO₂ is the principal anthropogenic greenhouse gas that affects the Earths radiative balance. It is the reference gas against which other GHGs are measured and therefore has a Global Warming Potential (GWP) of 1. CH₄ and N₂O have a GWP of 21 and 310 respectively.
    
•    CO₂ is responsible for most of the enhanced green house effect of more than 50%, CH4 about 10 to 15% and NO2 about 4%.
    
•    The global atmospheric concentrations of carbon-dioxide, methane and nitrous oxide have increased since 1750, CO₂ increased from a pre-industrial value of 280 ppm to 379 ppm in 2005, CH₄ increased from 715 ppb to 1774 ppb and NO₂ increased from 270 ppb to 319 ppb in 2005.

Key facts

    
•    Agriculture is the major land use across the globe. Agriculture production (plant growth) is highly dependent on climate since crop growth is influenced by solar radiation, temperature and precipitation. Agriculture is also sensitive to climate variability and weather extremes (droughts, floods, severe storms).
    
•    The yields of C₃ crops (rice, wheat, and soybean) is expected to increase (10-20%) with predicted doubling of CO₂ concentrations compared to C₄ crops (maize, sorghum, millet, sugarcane) since C₃ plants respond readily/positively to increased CO₂ levels. Therefore, CO₂ enrichment may benefit temperate and humid tropical agriculture compared to semi-arid tropics.
    
•    The predicted rise of temperature could impact crop and horticulture yield if it exceeds optimal temperature range. For example, low latitudes crops are being grown near the limits of temperature tolerance and global warming may put them to higher stress.
    
•    On a world wide basis, global warming would benefit the mid to high latitude zones for agriculture (for a small change of temperature of 1-3^ºC), whereas low latitudes, semi-arid and tropical areas will have much reduced crop and livestock yields. However, adaptation measures may reduce such impacts.

Climate Change has emerged as one of the most serious environmental concerns of recent times. The most imminent climate change is increase in atmospheric temperature due to increased levels of greenhouse gases such as carbon dioxide (CO₂), methane (CH₄), nitrous oxide (N₂O) and hydrochlorofluoro carbons (HCFCs). Because of increasing concentrations of the greenhouse gases in atmosphere, there is much concern about future changes in the climate system viz., Atmosphere, Lithosphere, Biosphere, Hydrosphere and Cryosphere. Direct or indirect effects on the society linked sectors like water, forestry, agriculture, animal agriculture, fisheries, land and marine biodiversity and health due to climate change/variability are many-fold and economic impact of climate change is enormous. The recurrent drought and desertification threaten seriously the livelihood of over 1.2 billion people who depend on land for most of their needs.

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

Introduction

Protected cultivation practices can be defined as a cropping technique where in the micro environment surrounding the plant body is controlled partially or fully as per plant need during their period of growth to maximize the yield and resource saving. Protected structures can play important role to minimize the impact of temperature fluctuation, over/under precipitation, fluctuating sun shine hour and infestation of disease and pest. The controlled environment can be utilized for growing early season /off-season vegetables and high value vegetables. This may become relevant to those farmers having small land holding who would be benefitted by a technology, which helps them to grow more crops each year and save them from adverse situation. Vegetable crops are very sensitive to climatic vagaries and sudden rise in temperature as well as irregular precipitation at any phase of crop growth can affect the normal growth, flowering, pollination, fruit development and subsequently decreased the crop yield. Apart from that high input cost and higher labor wages make vegetable cultivation less profitable under open field condition. Again, in the present scenario, more people are demanding early season/off-season vegetables and high value vegetables at higher price which are not possible to grow under open field situation.

Present status in world: In world, China has the largest area (2,760 thousand hectares) under greenhouse cultivation followed by Korea having 57.44 thousand hectares (Nair and Barche, 2014). The advent of protected cultivation technology in India materialized during the early nineties, post globalization.

India: India is the second largest producers of vegetable in the world, however as per medical council of India, the production is much less than the requirement if balanced diet are to be provided to every individual. The advent of protected cultivation technology in India materialized during the early nineties, post globalization. In India, the area under protected cultivation faced with constraints of land holdings, rapid urbanization, declining crop production, declining biodiversity and ever increasing population, demand for food, especially vegetables has increased manifold and protected cultivation has offered a new dimension to produce more in a limited area. Today Dutch protected cultivation is one of the most intensive farming systems in the world with high levels of output by using the latest technologies.

Abstract

Runoff from rainfall is an important component of the hydrological cycle. Estimation of runoff is critical for the design of hydrological structures and drainage systems in watersheds. Different soils, land use, and water management practices affect runoff differently. In real watersheds, land use, soils and weather conditions vary spatially over the geographical area of the watershed leading to spatial variations in runoff. Also, most watersheds form a part of larger drainage basin or a large watershed consisting of several such subwatersheds. Each subwatershed is hydrologically connected to the other subwatersheds of the basin. A comprehensive GIS based decision support system (DSS) for estimation of runoff that includes the spatial variations in rainfall and natural resources is presented. The DSS is developed as a deployable application by integrating independent GIS layers of watershed features created in ArcGIS with MapObjects in VB, for a case study watershed - the KK3 watershed in Mahbubnagar district of Andhra Pradesh, India. The DSS generates thematic maps of spatial variations in runoff on individual rainy days for the subwatersheds.

Keywords : GIS, GUI, Land use, Rainfall, Remote Sensing, Runoff, Soil, Sub-watershed, Watershed 228 Geospatial Technologies for Natural Resources Management

Data mining is a powerful technology which helps in extracting future trends and behaviour from large databases. Thereby it helps decision makers to make knowledge-driven decisions. One common form of real-world data is time series. The suitable models are required to analyze time series data. This chapter provides a short introduction to stochastic system, uncertainty, basic statistics time series analysis and some stochastic models.

The artificial neural network (ANN), a data driven model, is inherently suited to the problems that are mathematically difficult to describe. An ANN is a flexible mathematical structure that is capable of identifying complex nonlinear relationships between input and output data sets, where explicit knowledge of the internal processes is not available. In this chapter general structure of ANN is described and also explained briefly with a case study.

7.1 What is Artificial Neural Network?

An Artificial Neural Network (ANN) is an information processing paradigm that is inspired by the way biological nervous system, such as brain process the information. An ANN is an adaptive (Adaptive means that the system parameters are changed during operation i.e. training phase), most often nonlinear system that learns to perform a function (an input/output map) from data. In more practical term, neural networks are non-linear statistical data modeling tools. They can be used to model complex relationships between inputs and outputs or to find out patterns in the data.

Introduction

The foundation of agricultural productivity lies in the realm of weather and climate, a reality unaltered by technological progress. The consequences of climate change on agriculture represent a worldwide apprehension, particularly significant for India. Around 54.6% of the Indian population is engaged in agriculture and allied activities, contributing to 17.4% of the country’s total gross value added. The agriculture sector is battling a multitude of challenges, such as increasing food demand, depletion of agricultural lands and water resources, and the devastating effects of climate change. It is high time that we acknowledge and address these issues to safeguard the future of our food systems and ensure food security for all.

Climate change refers to the long-term variations in weather patterns and temperature over extended periods. Climate change occurs when earth’s climate system experiences variations in weather patterns that can last for decades or millions of years. These changes can arise naturally due to phenomena like volcanic eruptions or changes in solar activity. However, since the 1800s, human activities accelerate the natural pace of climate change, primarily due to the combustion of fossil fuels like coal, oil, and gas. These activities release greenhouse gases like carbon dioxide (CO2 ), methane (CH4 ), and nitrous oxide (N2 O) into the atmosphere, trapping heat and leading to a gradual increase in global temperatures. One of the most remarkable characteristics of climate change is the increase in temperature, which is widely referred to as global warming (Houghton, 2009). According to the report of Intergovernmental Panel for Climate Change, the release of greenhouse gases caused by human actions has contributed to around 1.1°C of warming since the period between1850-1900. The report also predicts that the global temperature will likely increase to 1.5°C or more in the next 20 years (IPCC, 2021).

Abstract

Higher temperature and altered rainfall patterns accompanied by extreme weather events are being considered indications of climate change. These factors impact vegetation growth in natural forest, open scrub and in agriculture land. Vegetation index based on satellite data was used to analyse agricultural vulnerability in India to understand impact of rainfall variability. Time-series Normalized Difference Vegetation Index (NDVI) data products obtained from AVHRR (1982 to 2006) and MODIS (2000-2011) were analyzed to assess spatial and temporal variability. Coefficient of variation of maximum NDVI was assessed for the study period and results were corroborated with Standard Precipitation Index (SPI) instead of actual rainfall. Resolution of AVHRR time-series data facilitated study at regional-scale while MODIS datasets with 250m pixel resolution helped in identifying vulnerability at district-level. Study indicated that over 241 Mha areas in the country may not be vulnerable to rainfall variability induced climate change while over 81.3 Mha in arid, semi-arid and dry sub- humid regions may be vulnerable. Study indicated that over 12.1 and 1.81 Mha of Kharif cropland would be mildly and severally vulnerable while 6.86 and 0.5 Mha of Rabi cropland may be adversely affected in a similar manner. Study indicated that length of cropping season was decreasing due to delay in start of season. The paper also presents analysis of variations in SPI and resultant NDVI in typical drought and flood years in the country.

Keywords: MODIS, AVHRR, NDVI, Rainf ed Agricul ture, Vulnerability, Climate Change

Introduction

Climate change has significant adverse implications on the physiological processes and metabolic machinery of plants, potentially affecting growth, development, and overall crop productivity. The rapid increase in global population exacerbates the threat to global food security, which is further impacted by changing climate conditions. The Intergovernmental Panel on Climate Change (IPCC) estimates that between 1850 and 1900 and 2011 and 2020, the global mean land surface air temperature increased by 1.6 °C. Predictions by the United Nations indicate that the global human population could reach 8.5 billion by 2023 and 9.7 billion by 2050, up from the current 8 billion. The National Centers for Environmental Information (NCEI) reported that 2022 was 0.86°C warmer than the average of the 20th century, making it the 6th warmest year on record. These data suggest an increased probability of unpredictable climate changes and harsh growing conditions, manifesting as various abiotic stresses on major cultivable lands. Climate change impacts CO2 concentration, temperature, precipitation, pollutants, and nutrient availability and uptake, leading to drought, salinity, irregular rainfall, f looding, high temperatures, and nutrient deficiencies in staple food crops, thereby threatening global food security. This review focuses on the effect of elevated CO2 and temperature on fundamental plant metabolic processes such as photosynthesis, respiration, transpiration, and nitrogen metabolism.

As global climate change becomes an increasingly urgent concern, the search for sustainable and renewable energy sources has intensified. Among the alternatives to fossil fuels, biofuels have emerged as a promising solution due to their potential to reduce greenhouse gas emissions and dependence on petroleum. Biofuels are derived from organic matter, such as crops, agricultural residues and other biomass, which can be converted into energy sources like ethanol, biodiesel, and biogas. For instance, crops like corn and soybeans contain oil extracts that can be processed into biofuels, offering a renewable and environmentally friendly alternative to traditional fossil fuels (Demirbas, 2009). However, the potential of biofuels extends beyond these conventional sources, as researchers explore a wide range of organic materials that can be sustainably regrown and harvested, minimizing ecological impacts (Naik et al., 2010). Biofuels have gained significant importance in both developed and developing economies, driven by their potential to enhance energy security and reduce carbon footprints. In 2023, the United States led global biofuel production with 15,550 million gallons, followed by Brazil with 8,260 million gallons. India ranked third, producing 1,430 million gallons of bioethanol and achieving an E11.7 blend rate during the 2022–2023 period. This blend was sourced from various feedstocks, including sugarcane juice (5%), cane molasses (5%), and damaged food grains (DFG) (1.7%). Historically, India’s ethanol production has relied heavily on sugarcane molasses, but the National Biofuel Policy (NBP) of 2018 has been instrumental in promoting the use of biofuels to reduce fossil fuel dependence, mitigate greenhouse gas emissions, and strengthen energy security (Ministry of Petroleum and Natural Gas, 2018). India, the third-largest energy-consuming nation globally, faces considerable challenges due to its heavy dependence on imported oil, posing risks to both economic stability and strategic security. With its share of global energy consumption projected to double by 2050, the country is actively seeking domestic alternatives to curb this reliance. Ethanol, produced within India, has emerged as a viable substitute. Since its initial pilot in 2001, ethanol-blended petrol has demonstrated notable environmental advantages, with every 10 million liters reducing CO2 emissions by 8,000–17,000 tonnes compared to conventional

Abstract

The Sonapur landslide located in the south eastern fringe of Shillong Plateau falls in NH44 connecting Shillong with Agartala. The slide is repeatedly active and massive debris flows occur during every monsoonic season since 1999. The studies carried out under the NRDMS funded project shows that the slide falls in the tectonically active E-W Dauki fault system, which not only forms the southern boundary of the Shillong plateau but also the near vertical plane along which the Shillong plateau has been uplifted due to the northerly compressive force and the collision of Indian plate with Eurasian plate. Such post collision tectonic uplift and the southerly tilt of the Shillong plateau in its southern part, monoclinal southerly dipping sediments south of Dauki fault, Sylhet trough, occurrence of NE-SW sinistral (shears) and NW-SE dextral faults in Sonapur area, high seismic activity and rainfall are responsible for the Sonapur Landslide.

Introduction 
Maize (Zea mays L.) which belongs to the Poaceae family, has its roots in the American continent where it was once grown by ancient cultures like the Indians, Magyars, and Aztecs. Today, maize is one of the most widely cultivated crops globally, with the largest productions in countries such as the US, China, India, and Brazil. As a monocotyledonous and cross-pollinated annual plant, maize is an angiosperm with seeds enclosed in a fruit or shell. The root system of maize is fibrous, reaching up to 60 cm. in soil depth. Maize is a warm-season crop with specific agro climatic requirements for successful cultivation. It thrives in warm temperatures and requires a minimum temperature of around 10°C (50°F) for germination. The ideal temperature range for its growth is between 20°C and 30°C (68°F to 86°F). However, maize is sensitive to frost, and exposure to freezing temperatures can damage or kill the crop. Adequate and well-distributed rainfall is crucial during its growing season, as maize needs about 500 to 1000 mm. (20 to 40 inches) of rainfall to support its development, with higher water requirements during flowering and grain-filling stages. While the crop is moderately droughttolerant, moisture stress at critical growth stages can significantly impact yield. Maize is a sun-loving crop and requires long daylight hours with ample sunshine for efficient photosynthesis and plant growth. The soil should be well-drained, loamy or sandy, rich in organic matter, and have a pH ranging from 5.8 to 7.0 (Greaves et al., 1996). Avoiding waterlogged or compacted soils is crucial, as they can impede root development and nutrient uptake. Maize can be cultivated at varying altitudes, but its suitability is generally limited to elevations below 2,500 meters (8,200 feet) above sea level. The crop typically requires 90 to 120 days from planting to maturity, although some varieties with shorter growing seasons are available for regions with limited frost-free periods. High salinity can result in decreased plant leaves, green weight, fresh weight, shorter shoots, and root length but salt-tolerant varieties have been developed.

Introduction

Arid regions are characterized by stressful edaphic and environmental conditions such as low and erratic rainfall coupled with limited irrigation resources, high evapotranspiration and extreme temperature regimes. Under such environment, the productivity of agriculture crops is far behind the satisfactory level, rendering cultivation of field crops an unprofitable venture. The recent awareness about potential of ecologically fragile lands for cultivation of fruit trees has not only opened up scope for providing economic sustainability for the natives, especially small farmers, but also for bringing new areas under fruit production. Ber (Ziziphus mauritiana Lamk.) or Indian jujube, which belongs to the family Rhamnaceae and said to be indigenous fruit crop. Ber is grown in India traditionally from ancient times where it has been in use for almost 4000 years (Mittre, 1961). It is one of the most suitable fruit trees for arid and semiarid regions. It is also known as ‘King of Arid Fruits’, Chinese date, Chinese fig or poor man’s fruit. Ber can do well even under marginal growing conditions and provides quality yields at low cost (Shukla, 1996). Cultivation of ber under the harsh conditions of the Thar desert of India (west Rajasthan) demonstrates its adaptation to desert conditions. Flowering and fruiting of ber coincide with the availability of maximum rain water (monsoon rains), which is during JulySeptember. It has a long taprootand can withstand high temperatures during the summer. During the dry hot summer (AprilJune), it undergoes dormancy by shedding its leaves, thus evading the injury of drought. It can produce fruits even under rainfed situation where average annual rainfall is 150200 mm. It is truly a desert apple for the dwellers of Thar Desert. The tree propagates freely and greatly resists stress conditions in regions experiencing recurrent droughts. It is thus an important tree suitable for integration into the agroforestry systems in the warm desert ecoregions. The tree can provide economic sustenance to the region and insurance against ecological degradation.

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 
Sorghum bicolor L. Moench, commonly known as sorghum, has emerged as a significant and promising candidate for both sugar and lignocellulosic biofuel production. Cultivated sorghum varieties exhibit a wide range of phenotypic and morphological characteristics, and based on their intended use, they have been categorized into four distinct groups: grain, forage, energy, and sweet sorghum. Grain sorghum varieties typically stand between three to six feet in height, featuring large ear heads. Their primary role is to serve as a source of food for humans or livestock feed. These varieties play a crucial role in providing sustenance and nutrition to both people and animals. Sweet sorghum, also known as sweet stalk sorghum, represents a unique group of genotypes that accumulate soluble sugars within their stalks. These varieties can grow impressively tall, reaching up to twenty feet, and produce significantly higher biomass yields compared to grain sorghum (Murray et al., 2009). Sweet sorghum’s stems are characterized by their thickness and fleshiness, although they do tend to have relatively lower seed yields. Despite this, sweet sorghum offers substantial advantages in terms of bioethanol production due to the high sucrose content present in its stalks (Srinivasa Rao et al. 2009). It has garnered recognition as an ideal candidate for bioenergy crop cultivation in tropical and temperate regions around the world, particularly in the southern United States. When compared to other bioenergy crops such as corn, wheat, sugarcane, sugar beet, cassava, and sweet potatoes, sweet sorghum presents several noteworthy benefits (Disasa et al., 2016). It is notably drought-tolerant and requires significantly less water than many other crops, such as one-third of the water needed for sugarcane and half of that required for corn. Furthermore, it exhibits tolerance to salinity, enabling its cultivation in marginal regions that are not traditionally suitable for crop production. Additionally, sweet sorghum boasts lower greenhouse gas emissions on a life-cycle basis, contributing to a more sustainable and environmentally friendly biofuel production process. The applications of sweet sorghum are diverse, with its stalks being used for various purposes. In Brazil and India, the stalk is chewed fresh or processed for the production of food-grade syrup and alcohol. Its high sucrose content makes it an excellent candidate for bioethanol production, with the potential to yield up to 8,000 liters per hectare, surpassing the ethanol yield of corn by approximately twofold and outperforming

Introduction

Arid regions of the world are diverse in terms of climate, soils, vegetation, animals and life style and activities of people. The binding feature of all arid regions in the world is aridity. Of the total area of arid zones of the world, Africa, accounts for 46.1 % followed by Asia (35.5 %). Majority of rest 19.4 % of arid zones are spread over in Australia, North America (Mexico and Southern part of USA), and South America. The Indian arid zone covers around 12 % of country’s geographical area occupying 31.8 million ha of land of which major part is in northwestern India (28.57 Mha) and some in southern India (3.13 Mha). It covers parts of Andhra Pradesh, Gujarat, Haryana, Karnataka, Maharashtra, Punjab and Rajasthan states of India (Table 1 and Fig. 1). The arid regions of Rajasthan, Gujarat, Punjab, and Haryana together constitute Great Indian Desert, better known as Thar. As arid western Rajasthan accounts for 61% of hot arid region of country, therefore it is considered principle hot arid region. Major part of it occurs between Aravalli ranges on the east and southeast and Thal desert of Pakistan (Thal desert is simply the western extension of Thar, only name has been changed) which is spread up to Suleman Kithara ranges in extreme west.

The relentless march of urbanization, coupled with the growing uncertainties of a changing climate, casts a long shadow over the water security of our cities. Unlike their rural counterparts, urban areas face a distinct and often amplified set of challenges when drought strikes. The intricate web of municipal water supply, the concentrated demands of industry and commerce, and the sheer density of population render urban centers particularly vulnerable to the cascading impacts of water scarcity. When the taps run dry or restrictions tighten, the repercussions extend far beyond parched lawns and wilted gardens, impacting public health, economic stability, and the very fabric of urban life This chapter serves as an entry point into the critical field of urban drought management. We will delve into the unique characteristics that distinguish urban droughts from their rural counterparts, highlighting the interconnectedness of water systems and the amplified socioeconomic consequences within city limits. We will explore the increasing frequency and intensity of these events, driven by both natural climate variability and