Space-Time Analysis for Water Utilization Efficiency of Urban Agglomeration and Its Economic Influence Factors łłin Chengdu Urban Agglomeration

Author(s):  
Yeyun Huang ◽  
Yunqiang Liu
1973 ◽  
Vol 7 (2) ◽  
pp. 488-509 ◽  
Author(s):  
Claudio A. Orzalesi

2016 ◽  
Vol 1 (54) ◽  
pp. 67
Author(s):  
Silvia Argüello Vargas ◽  
Elba de la Cruz Malavassi ◽  
Marco V Herrero Acosta

<p>El objetivo de este estudio fue establecer el patrón espacio-temporal de la malaria en Matina y relacionarlo con factores ambientales. Se utilizaron tecnologías espaciales para capturar, almacenar, analizar y visualizar información relacionada con localidades y viviendas. Los atributos no espaciales fueron analizados usando pruebas paramétricas y no paramétricas. Los datos fueron obtenidos de las bases de datos de casos clínicos del Área Rectora del Ministerio de Salud en Matina. Se presentan los descriptores puntuales de las localidades positivas para los años 2005 y 2006 y en los grupos de viviendas positivo y negativo en la localidad piloto. Se propone una clasificación de áreas macroambientales en el cantón y se relaciona con la distribución de la Incidencia Parasitaria Anual (IPA). Se identificaron factores de riesgo a nivel de vivienda en la localidad piloto. Se describe la ocurrencia temporal de la actividad malárica en el cantón. El patrón espacio-temporal que se presenta en este informe puede servir de línea base para estudiar cambios que podrían ocurrir en el futuro.</p><p> </p><p>SPACE-TIME ANALYSIS OF MALARIA IN MATINA, LIMÓN, COSTA RICA</p><p><strong>ABSTRACT</strong><br /> The purpose of this study was to describe the space-time pattern of the disease, and relate it to environmental factors. Spatial technologies were used to collect, store, analyze and display information regarding locations and household locations. Non-spatial attributes were analyzed using parametric and non parametric tests. The information was obtained from databases of clinical cases form the Governing Area of the Health Ministry in Matina. Centrographic parameters were calculated for localities within Matina and for households within the pilot location. Parasitic Incidence (IPA) was associated with a proposed environmental classifiation for Matina. At the household level, risk factors were determined. The temporal pattern of the disease in Matina is described. A similar temporal trend is shown for households within the pilot location. This is the fist time that the information collected in the Matina Governing Area is used to describe the spatial patterns of malaria.<br /> This pattern will be useful as a comparative baseline for future studies.</p><p> </p><p><span><br /></span></p>


2020 ◽  
Vol 12 (7) ◽  
pp. 2869
Author(s):  
Xiling Zhang ◽  
Yusheng Kong ◽  
Xuhui Ding

To promote the high-quality development of the Yellow River Basin, the total amount and intensity of agricultural water must be controlled. Further speaking, an urbanization development system should be established that is compatible with water resources and the water environment. We adopted the stochastic frontier analysis model to measure the agricultural water utilization efficiency of the Yellow River Basin from 2007 to 2017. We also adopted the dynamic panel difference generalized method of moments (GMM) and system GMM models to verify the driving factors, in which population urbanization, economic urbanization, and equilibrium urbanization levels were selected as the key variables. The results show that the overall efficiency of agricultural water utilization maintained a steady upward trend during the research period. The spatial differentiation was generally characterized by higher efficiency levels in the eastern region and lower levels in the western region. The variation coefficient of water utilization efficiency showed a downward trend in general, which indicates a space spillover effect. Agricultural water utilization efficiency continued to converge from 2007 to 2017, and the upper reaches area converged relatively more quickly. Regarding the influencing factors, the population urbanization, economic urbanization, balanced urbanization, crop planting ratio, and rice planting ratio had negative effects on agricultural water utilization efficiency. Urbanization did not positively affect agricultural water use efficiency as the related theories, so urbanization quality and urban–rural integration should be paid more attention. However, technology innovation was significantly positive in agricultural water utilization efficiency. The influencing factors of per capita water availability and annual precipitation did not pass the significance test. Therefore, the government should vigorously promote the development of high-quality new-type urbanization, scientifically formulate the scale and speed of urbanization, strengthen the urban, rural, and industrial integration, and promote the adjustment of planting structures and agricultural deep processing.


2020 ◽  
Vol 6 (11) ◽  
pp. 84952-84965
Author(s):  
Gudo Bai Armando Maidjelele ◽  
Júlio Acácio António Pacheco ◽  
José Augusto Leitão Drummond ◽  
Edson Vicente da Silva ◽  
Dilma Ázira Ismael Carlos ◽  
...  
Keyword(s):  
Land Use ◽  

2017 ◽  
Vol 7 (5) ◽  
pp. 257-265 ◽  
Author(s):  
Mohsen Ahmadkhani ◽  
◽  
Ali Asghar Alesheikh ◽  

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