Assessing the Impacts of Four Land Use Types on the Water Quality of Wetlands in Japan

Haidary, Azam; Amiri, Bahman Jabbarian; Adamowski, Jan; Fohrer, Nicola; Nakane, Kaneyuki

doi:10.1007/s11269-013-0284-5

Cited by 147 publications

(99 citation statements)

References 28 publications

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“…The aforementioned has been implemented through projects such as the Ushahidi Platform, where crowdsourcing has been used by people in developing regions to provide an alert system of disaster or emergency by sending SMS messages, videos, and images from smartphones or online reports. The long-term future of environmental research and emergency relief should focus on increasing computer power to the point where all relevant research and reports can be accessed and displayed at different scales in space and time (Halbe et al 2013;Kolinjivadi et al 2014a,b;Straith et al 2014;Haidary et al 2013). Only then can the uncertainty of the diverse influences of variables be better understood.…”

Section: Resultsmentioning

confidence: 99%

Assessing agricultural drought at a regional scale using LULC classification, SPI, and vegetation indices: case study in a rainfed agro-ecosystem in Central Mexico

Sierra-Soler

Adamowski

Malard

et al. 2015

Geomatics, Natural Hazards and Risk

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Satellite observations of the spectral properties of vegetation can provide insights on crop conditions and yield, and, furthermore, can monitor the impact of droughts. In the case of rainfed crops grown for self-sufficiency, a drought can result in significant human suffering, highlighting the need to understand how droughts affect the landscape in such regions. This paper uses remote sensing to assess the phenomenological impacts of two isolated droughts, distinguishing the response of different vegetation covers in semiarid developing regions where rainfed agriculture is common. Using the standardized precipitation index, one normal and two dry years were selected (2000, 2005, and 2011, respectively). An original protocol for land use land cover (LULC) classification that combines climatic, topographic, and reflectance information from 18 Landsat ETMC images was applied to subsequently distinguish drought effects in different classes through the selected years. Finally, two vegetation indices (normalized difference vegetation index (NDVI) and vegetation condition index (VCI)) were calculated to detect drought severity impacts over the different LULC classes. This approach was tested in Central Mexico and provided accurate information on the location and extent of areas affected by drought. The proposed approach can be used as a system for drought risk management in semi-arid developing regions.

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Section: Resultsmentioning

confidence: 99%

Assessing agricultural drought at a regional scale using LULC classification, SPI, and vegetation indices: case study in a rainfed agro-ecosystem in Central Mexico

Sierra-Soler

Adamowski

Malard

et al. 2015

Geomatics, Natural Hazards and Risk

Self Cite

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“…Table 2 displays that ε P (P, NO X -F) and ε P (P, P-F) were sensitive and positively correlated to dense settlement biomes. Dense settlement had intensifying effects on increasing nitrogen loads, phosphorus and other nutrients in surface water [16,[55][56][57][58][59][60][61][62] due to high anthropogenic activities and low retention capacity in urban lands [63]. There might be a high nitrogen emission when people practice urban gardening or do not have sewage plants etc.…”

Section: Impacts Of Terrestrial Determinants On Cewqmentioning

confidence: 99%

How Do Terrestrial Determinants Impact the Response of Water Quality to Climate Drivers?—An Elasticity Perspective on the Water–Land–Climate Nexus

et al. 2017

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Investigating water-land-climate interactions is critical for urban development and watershed management. This study examined this nexus by elasticity and statistical approaches through the lens of three watersheds: The Yukon, Mekong and Murray. Here, this study reports the fundamental characteristics, explanations and ecological and management implications of terrestrial determinant influence on the response of water quality to climate drivers. The stability of the response, measured by climate elasticity of water quality (CEWQ), is highly dependent on terrestrial determinants, with strong impacts from anthropogenic biomes and low impacts from surficial geology. Compared to temperature elasticity, precipitation elasticity of water quality is more unstable due to its possible linkages with many terrestrial determinants. Correlation and linear models were developed for the interaction system, which uncovered many interesting scenarios. The results implied that watersheds with a higher ratio of rangeland biomes have a lower risk of instability as compared to watersheds with a higher proportion of dense settlement, cropland and forested biomes. This study discusses some of the most essential pathways where instability might adversely affect CEWQ parameters and recommends suggestions for policy makers to alleviate the instability impacts to bring sustainability to the water environment.

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“…This is being driven by the expectation that the probabilities of floods and their consequences, caused by changes in the meteorological drivers of floods, or by changing land-use patterns and socio-economic development, will continue to rise in the coming decades [2][3][4][5][6][7][8][9][10][11][12], therefore aggravating existing flood risk. In this light, the concept of managing flood risk has shifted towards exploring more comprehensive and sustainable approaches [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Collaborative Strategies for Sustainable EU Flood Risk Management: FOSS and Geospatial Tools—Challenges and Opportunities for Operative Risk Analysis

Albano

Mancusi

Sole

et al. 2015

IJGI

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An analysis of global statistics shows a substantial increase in flood damage over the past few decades. Moreover, it is expected that flood risk will continue to rise due to the combined effect of increasing numbers of people and economic assets in risk-prone areas and the effects of climate change. In order to mitigate the impact of natural hazards on European economies and societies, improved risk assessment, and management needs to be pursued. With the recent transition to a more risk-based approach in European flood management policy, flood analysis models have become an important part of flood risk management (FRM). In this context, free and open-source (FOSS) geospatial models provide better and more complete information to stakeholders regarding their compliance with the Flood Directive (2007/60/EC) for effective and collaborative FRM. A geospatial model is an essential tool to address the European challenge for comprehensive and sustainable FRM because it allows for the use of integrated social and economic quantitative risk outcomes in a spatio-temporal domain. Moreover, a FOSS model can support governance processes using an interactive, transparent and collaborative approach, providing a meaningful experience OPEN ACCESS ISPRS Int. J. Geo-Inf. 2015, 4 2705 that both promotes learning and generates knowledge through a process of guided discovery regarding flood risk management. This article aims to organize the available knowledge and characteristics of the methods available to give operational recommendations and principles that can support authorities, local entities, and the stakeholders involved in decision-making with regard to flood risk management in their compliance with the Floods Directive (2007/60/EC).

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Assessing the Impacts of Four Land Use Types on the Water Quality of Wetlands in Japan

Cited by 147 publications

References 28 publications

Assessing agricultural drought at a regional scale using LULC classification, SPI, and vegetation indices: case study in a rainfed agro-ecosystem in Central Mexico

Assessing agricultural drought at a regional scale using LULC classification, SPI, and vegetation indices: case study in a rainfed agro-ecosystem in Central Mexico

How Do Terrestrial Determinants Impact the Response of Water Quality to Climate Drivers?—An Elasticity Perspective on the Water–Land–Climate Nexus

Collaborative Strategies for Sustainable EU Flood Risk Management: FOSS and Geospatial Tools—Challenges and Opportunities for Operative Risk Analysis

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