Water Resource Variability and Climate Change

Climate change affects global and regional water cycling, as well as surficial and subsurface water availability. These changes have increased the vulnerabilities of ecosystems and of human society. Understanding how climate change has affected water resource variability in the past and how climate change is leading to rapid changes in contemporary systems is of critical importance for sustainable development in different parts of the world. This Special Issue focuses on “Water Resource Variability and Climate Change” and aims to present a collection of articles addressing various aspects of water resource variability as well as how such variabilities are affected by changing climates. Potential topics include the reconstruction of historic moisture fluctuations, based on various proxies (such as tree rings, sediment cores, and landform features), the empirical monitoring of water variability based on field survey and remote sensing techniques, and the projection of future water cycling using numerical model simulations

Flood Early Warning and Risk Modelling

Extreme hydrological phenomena are one of the most common causes of human life loss and material damage as a result of the manifestation of natural hazards around human communities. Climatic changes have directly impacted the temporal distribution of previously known flood events, inducing significantly increased frequency rates as well as manifestation intensities. Understanding the occurrence and manifestation behavior of flood risk as well as identifying the most common time intervals during which there is a greater probability of flood occurrence should be a subject of social priority, given the potential casualties and damage involved. However, considering the numerous flood analysis models that have been currently developed, this phenomenon has not yet been fully comprehended due to the numerous technical challenges that have arisen. These challenges can range from lack of measured field data to difficulties in integrating spatial layers of different scales as well as other potential digital restrictions.The aim of the current book is to promote publications that address flood analysis and apply some of the most novel inundation prediction models, as well as various hydrological risk simulations related to floods, that will enhance the current state of knowledge in the field as well as lead toward a better understanding of flood risk modeling. Furthermore, in the current book, the temporal aspect of flood propagation, including alert times, warning systems, flood time distribution cartographic material, and the numerous parameters involved in flood risk modeling, are discussed

Identifying Suitable Watersheds across Nigeria Using Biophysical Parameters and Machine Learning Algorithms for Agri–Planning

Identifying suitable watersheds is a prerequisite to operationalizing planning interventions for agricultural development. With the help of geospatial tools, this paper identified suitable watersheds across Nigeria using biophysical parameters to aid agricultural planning. Our study included various critical thematic layers such as precipitation, temperature, slope, land-use/land-cover (LULC), soil texture, soil depth, and length of growing period, prepared and modeled on the Google Earth Engine (GEE) platform. Using expert knowledge, scores were assigned to these thematic layers, and a priority map was prepared based on the combined weighted average score. We also validated priority watersheds. For this, the study area was classified into three priority zones ranging from ‘high’ to ‘low’. Of the 277 watersheds identified, 57 fell in the high priority category, implying that they are highly favorable for interventions. This would be useful for regional-scale water resource planning for agricultural landscape development

Advanced technologies for offering situational intelligence in flood warning and response systems : a literature review

Deaths and property damage from floods have increased drastically in the past two 9 decades due to various reasons such as increased population, unplanned development and climate 10 change. Such losses from floods can be reduced by issuing timely early warnings and through 11 effective response mechanisms, based on situational intelligence during emerging flood situations. 12 This paper presents the outcome of a literature review that was conducted to identify the types and 13 sources of intelligence required for flood warning and response processes as well as the technology 14 solutions that can be used for offering such intelligence. Twenty-seven different types of intelligence 15 are presented, together with the technologies that can be used to extract such intelligence. 16 Furthermore, a conceptual architecture, that illustrates how relevant technology solutions can be 17 used to extract intelligence at various stages of a flood cycle for decision-making for issuing early 18 warnings and planning responses, is presented

Assessment of the domestic energy use impacts of unplanned refugee settlements on the forest ecology of Cox’s Bazar, Bangladesh

This study monitors the forest ecology in Himchari National Park, Teknaf Wildlife Sanctuary, and between the areas in Cox's Bazar district, Bangladesh. The area has a rich biodiversity, including globally endangered species such as Asian Elephants (Elephas maximus) and Boilam Trees (Anisoptera scaphula), which are threatened by anthropogenic development, newly refugees’ unplanned settlements and their use of domestic energy. Geographic Information System (GIS) and Landsat satellite images are used to monitor forest coverage for 1995–2018. The Normalized Difference Vegetation Index (NDVI) is applied to quantify forest area. Focus group discussions and questionnaire surveys were conducted to reveal stakeholder perceptions about their dependency on forest resources as ecosystem services. Close to the refugee camp areas, the forest coverage changes to grassland due to the unsustainable forest resource extraction. Despite the free of charge supply of Liquefied Petroleum Gas, the refugees burn 2,380 metric tons of firewood every month to satisfy energy for cooking. Besides, 200,000 households frequently use bamboo, small trees, and shrubs to maintain their dwellings' structure. Thus, deforestation caused by immigration between 2017–2018 is similar to that caused by the effect of climate change, including severe tropical cyclones in 1994–1995. This research identifies domestic energy supply deficiency and impacts, and the need for comparatively durable housing materials to reduce stress on forest resources and health hazards

Assessment of the domestic energy use impacts of unplanned refugee settlements on the forest ecology of Cox's Bazar, Bangladesh

This study monitors the forest ecology in Himchari National Park, Teknaf Wildlife Sanctuary, and between the areas in Cox's Bazar district, Bangladesh. The area has a rich biodiversity, including globally endangered species such as Asian Elephants (Elephas maximus) and Boilam Trees (Anisoptera scaphula), which are threatened by anthropogenic development, newly refugees' unplanned settlements and their use of domestic energy. Geographic Information System (GIS) and Landsat satellite images are used to monitor forest coverage for 1995-2018. The Normalized Difference Vegetation Index (NDVI) is applied to quantify forest area. Focus group discussions and questionnaire surveys were conducted to reveal stakeholder perceptions about their dependency on forest resources as ecosystem services. Close to the refugee camp areas, the forest coverage changes to grassland due to the unsustainable forest resource extraction. Despite the free of charge supply of Liquefied Petroleum Gas, the refugees burn 2,380 metric tons of firewood every month to satisfy energy for cooking. Besides, 200,000 households frequently use bamboo, small trees, and shrubs to maintain their dwellings' structure. Thus, deforestation caused by immigration between 2017-2018 is similar to that caused by the effect of climate change, including severe tropical cyclones in 1994-1995. This research identifies domestic energy supply deficiency and impacts, and the need for comparatively durable housing materials to reduce stress on forest resources and health hazards

SciTech News Volume 71, No. 1 (2017)

Columns and Reports From the Editor 3 Division News Science-Technology Division 5 Chemistry Division 8 Engineering Division Aerospace Section of the Engineering Division 9 Architecture, Building Engineering, Construction and Design Section of the Engineering Division 11 Reviews Sci-Tech Book News Reviews 12 Advertisements IEEE

Desertification

IPCC SPECIAL REPORT ON CLIMATE CHANGE AND LAND (SRCCL) Chapter 3: Climate Change and Land: An IPCC special report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystem

Flood monitoring and warning systems: A brief review

Floods and excessive rainfall are unavoidable phenomena that can cause massive loss of people's lives and destruction of infrastructure. Flash floods rise rapidly in flood-prone areas, resulting in property damage, but the impact on human lives is relatively preventable by the presence of monitoring systems. Although there are many systems widely in practice by disaster management agencies in monitoring flood levels, most of these systems are limited range and sophisticated to be used and maintained. Furthermore, in most developing countries, the conventional flood gates in water canals are manually operated and suffer from the lack of real-time monitoring of water levels, leading to an overflow in the channels and flash floods. On top of that, the lacking accurate data analysis in the system that can be accessed is one of the limitations of the conventional flood monitoring and warning systems (FMWS). Therefore, in this paper, we have explored and reviewed the existing methods of flood monitoring and emphasizing their structure and sensing techniques. We have also classified and compared their advantages and limitations and accordingly suggested new solutions and improvements by utilizing new technologies based on the Internet of Things. This paper introduces a detailed mini-review of sensing methods in the existing flood systems as reported in previous studies to serve as a quick guide to researchers who are engaging in this field. Based on the review, conclusions have been draw

Examining spatiotemporal changes in the phenology of Australian mangroves using satellite imagery

Nicolás Younes investigated the phenology of Australian mangroves using satellite imagery, field data, and generalized additive models. He found that satellite-derived phenology changes with location, frequency of observation, and spatial resolution. Nicolás challenges the common methods for detecting phenology and proposes a data-driven approach