Characterizing shallow groundwater contamination depending on different land use types

Soil moisture signatures provide a promising solution to overcome the difficulty of evaluating soil moisture dynamics in hydrologic models. Soil moisture signatures are metrics that represent catchment dynamics extracted from time series of data and enable process-based model evaluations. To date, soil moisture signatures have been tested only under limited land-use types. In this study, we explore soil moisture signatures’ ability to discriminate different dynamics among contrasting land-uses. We applied a set of nine soil moisture signatures to datasets from six in-situ soil moisture networks worldwide. The dataset covers a range of land-use types, including forested and deforested areas, shallow groundwater areas, wetlands, housing areas, grazed areas, and cropland areas. These signatures characterize soil moisture dynamics at three temporal scales: event, seasonal, and time-series scales. Statistical and visual assessment of extracted signatures showed that (1) storm event-based signatures can distinguish different dynamics for most land-uses, (2) season-based signatures are useful to distinguish different dynamics for some types of land-uses (forested vs. deforested area, greenspace vs. housing area, and deep vs. shallow groundwater area), (3) timeseries-based signatures can distinguish different dynamics for some types of land-uses (forested vs. deforested area, deep vs. shallow groundwater area, non-wetland vs. wetland area, and ungrazed vs. grazed area). We compared signature-based process interpretations against literature knowledge: event-based and time series-based signatures were generally matched well with previous process understandings from literature, but season-based signatures did not. This study demonstrates the best practices of extracting soil moisture signatures under various land-use and climate environments and applying signatures for model evaluations.

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Analyzing the Role of Shallow Groundwater Systems in the Water Use of Different Land-Use Types in Arid Irrigated Regions

Water ◽

10.3390/w10050634 ◽

2018 ◽

Vol 10 (5) ◽

pp. 634 ◽

Cited By ~ 12

Author(s):

Dongyang Ren ◽

Xu Xu ◽

Quanzhong Huang ◽

Zailin Huo ◽

Yunwu Xiong ◽

...

Keyword(s):

Land Use ◽

Water Use ◽

Shallow Groundwater ◽

Land Use Types ◽

Groundwater Systems

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Characterizing land use effect on shallow groundwater contamination by using self-organizing map and buffer zone

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.149632 ◽

2021 ◽

pp. 149632

Author(s):

Chung-Mo Lee ◽

Hanna Choi ◽

Yongcheol Kim ◽

MoonSu Kim ◽

HyunKoo Kim ◽

...

Keyword(s):

Land Use ◽

Groundwater Contamination ◽

Shallow Groundwater ◽

Buffer Zone ◽

Self Organizing Map ◽

Self Organizing

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A signature-based approach to quantify soil moisture dynamics under contrasting land-uses

10.22541/au.162435676.61345839/v2 ◽

2021 ◽

Author(s):

Ryoko Araki ◽

Flora Branger ◽

Inge Wiekenkamp ◽

Hilary McMillan

Keyword(s):

Land Use ◽

Soil Moisture ◽

Urban Areas ◽

Shallow Groundwater ◽

Land Uses ◽

Catchment Scale ◽

Soil Moisture Dynamics ◽

Land Use Types ◽

Event Based ◽

Moisture Dynamics

Soil moisture signatures provide a promising solution to overcome the difficulty of evaluating soil moisture dynamics in hydrologic models. Soil moisture signatures are metrics that quantify the dynamic aspects of soil moisture timeseries and enable process-based model evaluations. To date, soil moisture signatures have been tested only under limited land-use types. In this study, we explore soil moisture signatures’ ability to discriminate different dynamics among contrasting land-uses. We applied a set of nine soil moisture signatures to datasets from six in-situ soil moisture networks worldwide. The dataset covered a range of land-use types, including forested and deforested areas, shallow groundwater areas, wetlands, urban areas, grazed areas, and cropland areas. Our set of signatures characterized soil moisture dynamics at three temporal scales: event, season, and a complete timeseries. Statistical assessment of extracted signatures showed that (1) event-based signatures can distinguish different dynamics for all the land-uses, (2) season-based signatures can distinguish different dynamics for some types of land-uses (deforested vs. forested, urban vs. greenspace, and cropped vs. grazed vs. grassland contrasts), (3) timeseries-based signatures can distinguish different dynamics for some types of land-uses (deforested vs. forested, urban vs. greenspace, shallow vs. deep groundwater, wetland vs. non-wetland, and cropped vs. grazed vs. grassland contrasts). Further, we compared signature-based process interpretations against literature knowledge; event-based and timeseries-based signatures generally matched well with previous process understandings from literature, but season-based signatures did not. This study will be a useful guideline for understanding how catchment-scale soil moisture dynamics in various land-uses can be described using a standardized set of hydrologically relevant metrics.

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LAND USE TYPES AND SOIL CHARACTERISTICTS: A CASE STUDY IN HUONG VINH COMMUNE, HUONG TRA TOWN, THUA THIEN HUE PROVINCE

HUE UNIVERSITY JOURNAL OF SCIENCE EARTH SCIENCE AND ENVIRONMENT ◽

10.26459/hujos-ese.v126i4b.4121 ◽

2017 ◽

Vol 126 (4B) ◽

Author(s):

Trần Thanh Đức

Keyword(s):

Land Use ◽

Sweet Potato ◽

Soil Analysis ◽

Soil Characteristics ◽

Low Ph ◽

Clay Loam ◽

Total N ◽

Land Use Types ◽

Total P

This research carried out in Huong Vinh commune, Huong Tra town, Thua Thien Hue province aimed to identify types of land use and soil characteristics. Results showed that five crops are found in Huong Vinh commune including rice, peanut, sweet potato, cassava and vegetable. There are two major soil orders with four soil suborders classified by FAO in Huong Vinh commune including Fluvisols (Dystric Fluvisols, Gleyic Fluvisols and Cambic Fluvisols) and Arenosols (Haplic Arenosols). The results from soil analysis showed that three soil suborders including Dystric Fluvisols, Gleyic Fluvisols and Cambic Fluvisols belonging to Fluvisols were clay loam in texture, low pH, low in OC, total N, total P2O5 and total K2O. Meanwhile, the Haplic Arenosols was loamy sand in texture, poor capacity to hold OC, total N, total P2O5 and total K2O

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Bat Community Responses to Structural Habitat Complexity Resulting from Management Practices Within Different Land Use Types — A Case Study from North-Eastern Germany

Acta Chiropterologica ◽

10.3161/15081109acc2018.20.2.010 ◽

2019 ◽

Vol 20 (2) ◽

pp. 387 ◽

Cited By ~ 4

Author(s):

Nicole Starik ◽

Thomas Göttert ◽

Emanuel Heitlinger ◽

Ulrich Zeller

Keyword(s):

Land Use ◽

Habitat Complexity ◽

Management Practices ◽

Community Responses ◽

Eastern Germany ◽

Land Use Types ◽

North Eastern ◽

Structural Habitat

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THE IMPACT OF DIFFERENT URBAN LAND USE TYPES ON AIR POLLUTION IN THE MEGACITY OF SÃO PAULO

Revista Presença Geográfica ◽

10.36026/rpgeo.v7i1.5366 ◽

2020 ◽

Vol 7 (1) ◽

pp. 91

Author(s):

Júlio Barboza Chiquetto ◽

Maria Elisa Siqueira Silva ◽

Rita Yuri Ynoue ◽

Flávia Noronha Dutra Ribieiro ◽

Débora Souza Alvim ◽

...

Keyword(s):

Land Use ◽

Air Pollution ◽

Urban Land ◽

Sao Paulo ◽

Urban Land Use ◽

São Paulo ◽

Land Use Types ◽

The Impact

A poluição do ar é influenciada por fatores naturais e antropogênicos. Quatro pontos de monitoramento (veicular, comercial, residencial e background urbano (BGU))da poluição do ar em São Paulo foram avaliados durante 16 anos, revelando diferenças significativas devidoao uso do solo em todas as escalas temporais. Na escala diurna, as concentrações de poluentes primários são duas vezes mais altas nos pontos veicular e residencial do que no ponto BGU, onde a concentração de ozonio (O3) é 50% mais alta. Na escala sazonal, as concentrações de monóxido de carbono(CO) variaram em 80% devido ao uso do solo, e 55% pela sazonalidade.As variações sazonais ede uso do solo exercem impactos similares nas concentrações de O3 e monóxido de nitrogênio (NO). Para o material particulado grosso (MP10) e o dióxido de nitrogênio(NO2), as variações sazonais são mais intensas do que as por uso do solo. Na série temporal de 16 anos, o ponto BGU apresentou correlações mais fortes e significativas entre a média mensal de ondas longas (ROL) e o O3 (0,48) e o MP10 (0,37), comparadas ao ponto veicular (0,33 e 0,22, respectivamente). Estes resultados confirmam que o uso do solo urbano tem um papel significativo na concentração de poluentes em todas as escalas de análise, embora a sua influência se torne menos pronunciada em escalas maiores, conforme a qualidade do ar transita de um sistema antropogênico para um sistema natural. Isto poderá auxiliar decisões sobre políticas públicas em megacidades envolvendo a modificação do uso do solo.

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