scholarly journals Spatial-temporal analysis of urban water resource vulnerability in China

2021 ◽  
Vol 133 ◽  
pp. 108436
Author(s):  
Menglu Sun ◽  
Takaaki Kato
Keyword(s):  
Water Resource ◽  
Temporal Analysis ◽  
Urban Water ◽  
Spatial Temporal Analysis

Challenges of Water Resource Development and Management in Zing Town, Taraba State, Nigeria

2015 ◽  
Vol 4 (1) ◽  
pp. 355-360
Author(s):  
E D Oruonye ◽  
E Bange
Keyword(s):  
Water Management ◽  
Water Supply ◽  
Water Resource ◽  
Resource Development ◽  
Economic Life ◽  
Earth Dam ◽  
Urban Water ◽  
Water Resource Development ◽  
Dug Wells ◽  
Development And Management

This study examined the challenges of water resource development and management in Zing town,Taraba State, Nigeria. The study considered issues of sources of water supply in Zing town, the nature of water challenges, impacts of the water challenges on the socio-economic life of the people, water management strategies and prospect of urban water resource development in the study area. 110 questionnaires were systematically administered in ten streets that were purposively selected in Zing town. The data were analyzed using descriptive statistics. The result of the finding indicates that majority (45.5%) of the respondent have their water source from borehole, 18.2% streams, 18.2% hand dug wells and 9.1% from other sources (mostly water vendors). The study shows that 68.2% of the respondents had their water point located outside their households, while only 31.8% claimed to have their water sources located within their compounds (this is mostly hand dug wells). The nature of water challenge in the area ranges from severe (50%), not severe (27.3%) and normal (22.7%). The results also shows that only 34% of respondents claimed to have access to sufficient water daily, while 66% of the respondents hardly have access to sufficient water on daily basis. The study shows that the water management strategy adopted mostly by the respondent ranges from storing water in large container (48.2%), reduce water use (29.1%), increase amount spent on water (13.6%) and others 9.1% (mainly re-use of water). The prospect of water resource development in the study area is very bright with the proposal of a small earth dam in Monkin settlement by the Federal Government of Nigeria. The Monkin small earth dam which is meant to generate 500KW of electricity can be integrated into an urban water supply project in the area. This will assure more reliable water supply all year round. It will also help to overcome some of the challenges of servicing the hand pumps which rendered them inadequate when they break down. This study recommends the need to replace the old and obsolete borehole equipment with new ones and increase the number of boreholes to meet the increasing water demand in the area.

Spatial-Temporal Analysis of Mortality Using Splines

Biometrics ◽  
1995 ◽  
Vol 51 (4) ◽  
pp. 1352 ◽  
Author(s):  
A. van der Linde ◽  
K.-H. Witzko ◽  
K.-H. Jockel
Keyword(s):  
Temporal Analysis ◽  
Spatial Temporal Analysis

scholarly journals Gross Primary Production and False Spring: a spatio-temporal analysis

2020 ◽  
Author(s):  
Emma Izquierdo-Verdiguier ◽  
Raúl Zurita-Milla ◽  
Álvaro Moreno-Martinez ◽  
Gustau Camps-Valls ◽  
Anja Klisch ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Primary Production ◽  
Gross Primary Production ◽  
Damage Index ◽  
Temporal Analysis ◽  
Environmental Stressors ◽  
Impact Of Climate Change ◽  
False Spring ◽  
Spatial Temporal Analysis

<p>Phenological information can be obtained from different sources of data. For instance, from remote sensing data or products and from models driven by weather variables. The former typically allows analyzing land surface phenology whereas the latter provide plant phenological information. Analyzing relationships between both sources of data allows us to understand the impact of climate change on vegetation over space and time. For example, the onset of spring is advanced or delayed by changes in the climate. These alterations affect plant productivity and animal migrations.</p><p>Spring onset monitoring is supported by the Extended Spring Index (SI-x), which are a suite of regression-based models for key indicator plant species. These models (Schwartz et al. in 2013) are based on daily maximum and minimum temperature from the first day of the year (January 1<sup>st</sup>). The primary products of these models are the timing of first leaf and first bloom, but they also provide derivative products such as the timing of last freeze day and the risk of frost damage day (damage index) for each year. This information helps to understand if vegetation could have suffered from environmental stressors such as droughts or a late frost events. The effects of environmental stressors in vegetation could be captured by the false spring index, which relates the first leaf day and the last freeze day. Moreover, this information could be used to understand plant productivity as well as to evaluate the economic impact of climate change.</p><p>Previous works studied the relationship between remote sensing and plant level products by means of spatial-temporal analysis between Gross Primary Production (GPP) and a spring onset index. However, they did not consider the possible impact of false spring effect in these relationships. Here, we present a spatial-temporal analysis between GPP and the damage index to better understand the effect of false springs (in annual gross photosynthesis data). The analysis is done for the period 2000 to 2015 over the contiguous US and at spatial resolution of 1 km. We used the MODIS annual sum of GPP and the damage and false spring indices derived from the SI-x models.</p>

scholarly journals Sustainable use of an extractivist reserve: a spatial-temporal analysis of environmental dynamics

2017 ◽  
Vol 4 (7) ◽  
pp. 195-201
Author(s):  
Joélia Natália Bezerra da Silva ◽  
Janaína Vital de Albuquerque ◽  
Luana de Oliveira Rodrigues
Keyword(s):  
Remote Sensing ◽  
Temporal Dynamics ◽  
Vegetation Indices ◽  
Sustainable Use ◽  
Temporal Analysis ◽  
Conservation Unit ◽  
Climatic Regions ◽  
Cardisoma Guanhumi ◽  
Surrounding Areas ◽  
Spatial Temporal Analysis

Due to its large territory, Brazil has different climatic regions, which determines biome variations and equally diverse ecosystems, of this variety of vegetal landscapes, accompanies the diversity of climates. In this context, results of studies carried out locally, which guide measures, decision-making laws and regulations that reach large scales in the territory, need to be carefully planned, because there is a high risk of disregarding environmental specificities of the studied areas. Therefore, this study aimed to analyze the environmental dynamics resulting from the impacts of the last decades that have affected the habitat of the guaiamum (Cardisoma guanhumi) in the Acaú-Goiana Extractivist Reserve (RESEX) and surrounding areas. The analysis of the spatial-temporal dynamics, in the RESEX and adjacent areas, was made from the vegetation indices (SAVI) through remote sensing. In this way, three images of the RESEX were analyzed, two from the year 2010 and one from 2015, in which the RESEX was already in full legal operation. It is noticeable that there are some areas within the Conservation Unit with small plots of exposed soil, which can demonstrate the occurrence of fires.

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