Skip to main content

Drought. Definitions. Causes. Types.

Drought occurs when there is less water available than what is normally expected in a particular location and season. It can last for days, months or years, and has severe impacts on ecosystems, agriculture and the economy. Droughts are becoming more severe and unpredictable due to climate change. There are three kinds of drought effects: environmental, economic and social. Environmental effects include the drying of wetlands, more and larger wildfires, and loss of biodiversity. Economic consequences include disruption of water supplies, lower agricultural outputs and higher food-production costs. Social and health costs include negative impacts on health, stress from failed harvests and water scarcity. Prolonged droughts have caused mass migrations and humanitarian crises. Some plant species have adapted to tolerate drought, but most arid ecosystems have inherently low productivity. The most prolonged drought in recorded history continues in the Atacama Desert in Chile. Humans have historically viewed droughts as disasters and have attributed them to natural or supernatural forces.

Definition

IPCC defines drought as "drier than normal conditions"
National Integrated Drought Information System defines drought as "a deficiency of precipitation over an extended period of time (usually a season or more), resulting in a water shortage"

National Weather Service office of the NOAA defines drought as "a deficiency of moisture that results in adverse impacts on people, animals, or vegetation over a sizeable area"

Drought is a complex phenomenon related to the absence of water, which is difficult to monitor and define.

Over 150 definitions of "drought" were published by the early 1980s, reflecting differences in regions, needs, and disciplinary approaches.

Types
There are three categories of drought: meteorological, hydrological, and agricultural or ecological drought.
Meteorological drought occurs due to lack of precipitation.

Hydrological drought is related to low runoff, streamflow, and reservoir storage.

Agricultural or ecological drought causes plant stress from a combination of evaporation and low soil moisture.

Socioeconomic drought occurs when the demand for an economic good exceeds supply due to a weather-related shortfall in water supply.

Meteorological drought usually precedes the other kinds of drought.

Hydrological drought tends to show up more slowly because it involves stored water that is used but not replenished.

Agricultural or ecological droughts affect crop production or ecosystems in general.

Agricultural drought can be caused by increased irrigation or poorly planned agricultural endeavors leading to soil conditions and erosion.
.

Causes

Precipitation mechanisms include convective, stratiform, and orographic rainfall, and precipitation can be categorized into three types.

Droughts mainly occur in areas with already low rainfall levels and can be triggered by high levels of reflected sunlight, continental winds, and high pressure systems.

The dry season in the tropics increases the occurrence of droughts, and bushfires are common due to the lack of water in the plants.

El Niño and La Niña events can exacerbate drought conditions in various regions around the world.

Climate change is expected to cause droughts with a significant impact on agriculture, increase the frequency of extreme events, and worsen compound warm-season droughts in Europe. 



Comments

Popular posts from this blog

Accuracy Assessment

Accuracy assessment is the process of checking how correct your classified satellite image is . 👉 After supervised classification, the satellite image is divided into classes like: Water Forest Agriculture Built-up land Barren land But classification is done using computer algorithms, so some areas may be wrongly classified . 👉 Accuracy assessment helps to answer this question: ✔ "How much of my classified map is correct compared to real ground conditions?"  Goal The main goal is to: Measure reliability of classified maps Identify classification errors Improve classification results Provide scientific validity to research 👉 Without accuracy assessment, a classified map is not considered scientifically reliable . Reference Data (Ground Truth Data) Reference data is real-world information used to check classification accuracy. It can be collected from: ✔ Field survey using GPS ✔ High-resolution satellite images (Google Earth etc.) ✔ Existing maps or survey reports 🧭 Exampl...

History of GIS

1. 1832 - Early Spatial Analysis in Epidemiology:    - Charles Picquet creates a map in Paris detailing cholera deaths per 1,000 inhabitants.    - Utilizes halftone color gradients for visual representation. 2. 1854 - John Snow's Cholera Outbreak Analysis:    - Epidemiologist John Snow identifies cholera outbreak source in London using spatial analysis.    - Maps casualties' residences and nearby water sources to pinpoint the outbreak's origin. 3. Early 20th Century - Photozincography and Layered Mapping:    - Photozincography development allows maps to be split into layers for vegetation, water, etc.    - Introduction of layers, later a key feature in GIS, for separate printing plates. 4. Mid-20th Century - Computer Facilitation of Cartography:    - Waldo Tobler's 1959 publication details using computers for cartography.    - Computer hardware development, driven by nuclear weapon research, leads to broader mapping applications by early 1960s. 5. 1960 - Canada Geograph...

Development and scope of Environmental Geography and Recent concepts in environmental Geography

Environmental Geography studies the relationship between humans and nature in a spatial (place-based) way. It combines Physical Geography (natural processes) and Human Geography (human activities). A. Early Stage 🔹 Environmental Determinism Concept: Nature controls human life. Meaning: Climate, landforms, and soil decide how people live. Example: People in deserts (like Sahara Desert) live differently from people in fertile river valleys. 🔹 Possibilism Concept: Humans can modify nature. Meaning: Environment gives options, but humans make choices. Example: In dry areas like Rajasthan, people use irrigation to grow crops. 👉 In this stage, geography was mostly descriptive (explaining what exists). B. Evolution Stage (Mid-20th Century) Environmental problems increased due to: Industrialization Urbanization Deforestation Pollution Geographers started studying: Environmental degradation Resource management Human impact on ecosystems The field became analytical and problem-solving...

Change Detection

Change detection is the process of finding differences on the Earth's surface over time by comparing satellite images of the same area taken on different dates . After supervised classification , two classified maps (e.g., Year-1 and Year-2) are compared to identify land use / land cover changes .  Goal To detect where , what , and how much change has occurred To monitor urban growth, deforestation, floods, agriculture, etc.  Basic Concept Forest → Forest = No change Forest → Urban = Change detected Key Terminologies Multi-temporal images : Images of the same area at different times Post-classification comparison : Comparing two classified maps Change matrix : Table showing class-to-class change Change / No-change : Whether land cover remains same or different Main Methods Post-classification comparison – Most common and easy Image differencing – Subtract pixel values Image ratioing – Divide pixel values Deep learning methods – Advanced AI-based detection Examples Agricult...

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...