Spatial and temporal analyses of potential land use conflict under the constraints of water resources in the middle reaches of the Heihe River

2020 ◽  
Vol 97 ◽  
pp. 104773 ◽  
Author(s):  
Song Jiang ◽  
Jijun Meng ◽  
Likai Zhu
2017 ◽  
Vol 3 (59) ◽  
pp. 125 ◽  
Author(s):  
Gustavo D. Buzai ◽  
Noelia Principi

La Geografía, como ciencia espacial, se apoya en la utilización de métodos cuantitativos aplicados con Sistemas de Información Geográfica (SIG). En este contexto, el modelado cartográfico y las técnicas de evaluación multicriterio permitieron definir una estrategia metodológica para la identificación de áreas de potencial conflicto entre usos del suelo en escala regional (LUCIS, Land-use conflict identification strategy). La investigación se realiza en la cuenca del río Luján con el objetivo de definir estas áreas como consecuencia de la futura competencia espacial entre el uso del suelo urbano, la producción agrícola y las áreas de conservación. Los resultados obtenidos constituyen una excelente herramienta de utilidad en la planificación territorial.


2021 ◽  
Vol 13 (12) ◽  
pp. 2416
Author(s):  
Wenli Jing ◽  
Kanhua Yu ◽  
Lian Wu ◽  
Pingping Luo

Accurately identifying potential land use conflicts (LUCs) is critical for alleviating the ever-intensifying contradictions between humans and nature. The previous studies using the method of suitability analysis did not take full advantage of the current land use and multi-function characteristics of land resources. In this study, an improved model of suitability analysis was realized. In order to explore the LUCs status, including the types, intensity and distribution, a multi-objective suitability evaluation model was constructed from the perspective of production-living-ecological functions. And it was applied to Hengkou District, a typical region of the Qin-Ba mountainous area in the central part of China. The results show that the suitability distribution of living- production-ecological functions vary widely from the center to the periphery with altitude in Hengkou District; 22.03% of the land is at a risk of land use conflict. Among them, the high potential conflict areas account for 55.32%, and the conflicts between production and ecological lands (L2P1E1, L3P1E1) are the largest, which are located at the fringe of the central urban and ecologically dominant area. Therefore, it is necessary to adopt effective strategies to achieve a balance between the differential demands of land use. This research could better reflect the true situation of land use in ecologically sensitive mountainous areas and would provide theoretical and methodological support for the identification and prevention of potential LUCs.


2021 ◽  
Vol 43 ◽  
pp. e20
Author(s):  
Ádanna De Souza Andrade ◽  
Suezilde Da Conceição Amaral Ribeiro ◽  
Bruno Wendell De Freitas Pereira ◽  
Paulo Eduardo Silva Bezerra ◽  
Valter Vinicius Pereira Brandão

Permanent preservation areas contribute significantly to maintaining the quality of water resources and protecting against erosive events. In this sense, this work mains of is to analyze the land use conflict in the permanent preservation areas of the Marapanim River basin, located in the northeast of the State of Pará. To this end, it data were processed using images Landsat of the years of 1988, 1998, 2008 and 2017 to discuss changes in land use for each year. Afterwards, land use was overlapped with the Permanent Preservation Areas of the basin (PPA), to identify the types of use that are interfering in the limits that should be maintained as PPA. The results showed that in three of the four years of analysis, the exposed soil class was present in more than 20% of the inadequate land use in PPA, followed by the Farming class, which increased almost 300% the occupation in PPA in the first to last year of study. Thus, this study can support public policies in order to monitor the sources and margins of water courses for a better management of water resources in this region.


2018 ◽  
Vol 62 (4) ◽  
pp. 777-791 ◽  
Author(s):  
Jennifer Diana Evans ◽  
James Barrie Kirkpatrick ◽  
Kerry Lynn Bridle

Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 101
Author(s):  
Antonio J. Mendoza-Fernández ◽  
Araceli Peña-Fernández ◽  
Luis Molina ◽  
Pedro A. Aguilera

Campo de Dalías, located in southeastern Spain, is the greatest European exponent of greenhouse agriculture. The development of this type of agriculture has led to an exponential economic development of one of the poorest areas of Spain, in a short period of time. Simultaneously, it has brought about a serious alteration of natural resources. This article will study the temporal evolution of changes in land use, and the exploitation of groundwater. Likewise, this study will delve into the technological development in greenhouses (irrigation techniques, new water resources, greenhouse structures or improvement in cultivation techniques) seeking a sustainable intensification of agriculture under plastic. This sustainable intensification also implies the conservation of existing natural areas.


2021 ◽  
Vol 71 ◽  
pp. 101999
Author(s):  
Yuan Gao ◽  
Jinman Wang ◽  
Min Zhang ◽  
Sijia Li

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 38
Author(s):  
Nick Martin

Climate and land use and land cover (LULC) changes will impact watershed-scale water resources. These systemic alterations will have interacting influences on water availability. A probabilistic risk assessment (PRA) framework for water resource impact analysis from future systemic change is described and implemented to examine combined climate and LULC change impacts from 2011–2100 for a study site in west-central Texas. Internally, the PRA framework provides probabilistic simulation of reference and future conditions using weather generator and water balance models in series—one weather generator and water balance model for reference and one of each for future conditions. To quantify future conditions uncertainty, framework results are the magnitude of change in water availability, from the comparison of simulated reference and future conditions, and likelihoods for each change. Inherent advantages of the framework formulation for analyzing future risk are the explicit incorporation of reference conditions to avoid additional scenario-based analysis of reference conditions and climate change emissions scenarios. In the case study application, an increase in impervious area from economic development is the LULC change; it generates a 1.1 times increase in average water availability, relative to future climate trends, from increased runoff and decreased transpiration.


Water ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1313
Author(s):  
George Akoko ◽  
Tu Hoang Le ◽  
Takashi Gomi ◽  
Tasuku Kato

The soil and water assessment tool (SWAT) is a well-known hydrological modeling tool that has been applied in various hydrologic and environmental simulations. A total of 206 studies over a 15-year period (2005–2019) were identified from various peer-reviewed scientific journals listed on the SWAT website database, which is supported by the Centre for Agricultural and Rural Development (CARD). These studies were categorized into five areas, namely applications considering: water resources and streamflow, erosion and sedimentation, land-use management and agricultural-related contexts, climate-change contexts, and model parameterization and dataset inputs. Water resources studies were applied to understand hydrological processes and responses in various river basins. Land-use and agriculture-related context studies mainly analyzed impacts and mitigation measures on the environment and provided insights into better environmental management. Erosion and sedimentation studies using the SWAT model were done to quantify sediment yield and evaluate soil conservation measures. Climate-change context studies mainly demonstrated streamflow sensitivity to weather changes. The model parameterization studies highlighted parameter selection in streamflow analysis, model improvements, and basin scale calibrations. Dataset inputs mainly compared simulations with rain-gauge and global rainfall data sources. The challenges and advantages of the SWAT model’s applications, which range from data availability and prediction uncertainties to the model’s capability in various applications, are highlighted. Discussions on considerations for future simulations such as data sharing, and potential for better future analysis are also highlighted. Increased efforts in local data availability and a multidimensional approach in future simulations are recommended.


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