scholarly journals Groundwater recharge potential zonation using an ensemble of machine learning and bivariate statistical models

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Maryam Sadat Jaafarzadeh ◽  
Naser Tahmasebipour ◽  
Ali Haghizadeh ◽  
Hamid Reza Pourghasemi ◽  
Hamed Rouhani
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Groundwater Recharge ◽  
Land Use Planning ◽  
Statistical Models ◽  
Agricultural Land ◽  
Response Curves ◽  
Recharge Potential ◽  
Ensemble Effect ◽  
Potential Mapping

AbstractMany regions in Iran are currently experience water crisis, largely driven by frequent droughts and expanding agricultural land combined with over abstraction of groundwater. Therefore, it is extremely important to identify potential groundwater recharge (GWR) zones to help in prevent water scarcity. The key objective of this research is to applying different scenarios for GWR potential mapping by means of a classifier ensemble approach, namely a combination of Maximum Entropy (ME) and Frequency Ratio (FR) models in a semi-arid mountainous, Marboreh Watershed of Iran. To consider the ensemble effect of these models, 15 input layers were generated and used in two models and then the models were combined in seven scenarios. According to marginal response curves (MRCs) and the Jackknife technique, quaternary formations (Qft1 and Qft2) of lithology, sandy-clay-loam (Sa. Cl. L) class of soil, 0–4% class of slope, and agriculture & rangeland classes of land use, offered the highest percolation potential. Results of the FR model showed that the highest weight belonged to Qft1 rocks and Sa. Cl. L textures. Seven scenarios were used for GWR potential maps by different ensembles based on basic mathematical operations. Correctly Classified Instances (CCI), and the AUC indices were applied to validate model predictions. The validation indices showed that scenarios 5 had the best performance. The combination of models by different ensemble scenarios enhances the efficiency of these models. This study serves as a basis for future investigations and provides useful information for prediction of sites with groundwater recharge potential through combination of state-of-the-art statistical and machine learning models. The proposed ensemble model reduced the machine learning and statistical models’ limitations gaps and promoted the accuracy of the model where combining, especially for data-scarce areas. The results of present study can be used for the GWR potential mapping, land use planning, and groundwater development plans.

scholarly journals An Integrated Economic, Environmental and Social Approach to Agricultural Land-Use Planning

Land ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 364
Author(s):  
Sahar Shahpari ◽  
Janelle Allison ◽  
Matthew Tom Harrison ◽  
Roger Stanley
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Commodity Prices ◽  
Global Scale ◽  
Agricultural Land Use ◽  
Climate Type ◽  
Crop Selection ◽  
Regional Impacts ◽  
Farmer Decision Making

Agricultural land-use change is a dynamic process that varies as a function of social, economic and environmental factors spanning from the local to the global scale. The cumulative regional impacts of these factors on land use adoption decisions by farmers are neither well accounted for nor reflected in agricultural land use planning. We present an innovative spatially explicit agent-based modelling approach (Crop GIS-ABM) that accounts for factors involved in farmer decision making on new irrigation adoption to enable land-use predictions and exploration. The model was designed using a participatory approach, capturing stakeholder insights in a conceptual model of farmer decisions. We demonstrate a case study of the factors influencing the uptake of new irrigation infrastructure and land use in Tasmania, Australia. The model demonstrates how irrigated land-use expansion promotes the diffusion of alternative crops in the region, as well as how coupled social, biophysical and environmental conditions play an important role in crop selection. Our study shows that agricultural land use reflected the evolution of multiple simultaneous interacting biophysical and socio-economic drivers, including soil and climate type, crop and commodity prices, and the accumulated effects of interactive decisions of farmers.

scholarly journals Spatial Distribution and Evaluation of Arsenic and Zinc Content in the Soil of a Karst Landscape

2021 ◽  
Vol 13 (12) ◽  
pp. 6976
Author(s):  
Dimitrios E. Alexakis ◽  
George D. Bathrellos ◽  
Hariklia D. Skilodimou ◽  
Dimitra E. Gamvroula
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Land Use Planning ◽  
Urban Soil ◽  
Agricultural Soil ◽  
Agricultural Land ◽  
Land Evaluation ◽  
Agricultural Activity ◽  
North West ◽  
Total Study Area

Karst features such as polje are highly vulnerable to natural and anthropogenic pollution. The main objectives of this study were to investigate the soil quality in the Ioannina polje (north-west Greece) concerning arsenic (As) and zinc (Zn), and delineate their origin as well as compare the As and Zn content in soil with criteria recorded in the literature. For this purpose, the geomorphological settings, the land use, and the soil physicochemical properties were mapped and evaluated, including soil texture and concentrations of aqua-regia extractable As and Zn. The concentration of elements was spatially correlated with the land use and the geology of the study area, while screening values were applied to assess land suitability. The results reveal that 72% of the total study area has a very gentle slope. This relief favors urban and agricultural activity. Thus, the urban and agricultural land used cover 92% of the total area. The spatial distribution for As and Zn in the soil of the study area is located on very gentle slopes and is strongly correlated with the geological parent materials and human-induced contamination sources. Arsenic and Zn can be considered enriched in the soil of the area studied. The median topsoil contents (in mg kg−1) for As (agricultural soil 16.0; urban soil 17.8) and Zn (agricultural soil 92.0; urban soil 95.0) are higher compared to the corresponding median values of European topsoils. Land evaluation suitability concerning criteria given from the literature is discussed. The proposed work may be helpful in the project of land use planning and the protection of the natural environment.

scholarly journals A Comparison of Approaches to Regional Land-Use Capability Analysis for Agricultural Land-Planning

Land ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 458
Author(s):  
Tara A. Ippolito ◽  
Jeffrey E. Herrick ◽  
Ekwe L. Dossa ◽  
Maman Garba ◽  
Mamadou Ouattara ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Crop Production ◽  
Agricultural Land ◽  
Arable Land ◽  
Agricultural Activity ◽  
Field Samples ◽  
Agricultural Potential ◽  
Fertility Data ◽  
Using Data

Smallholder agriculture is a major source of income and food for developing nations. With more frequent drought and increasing scarcity of arable land, more accurate land-use planning tools are needed to allocate land resources to support regional agricultural activity. To address this need, we created Land Capability Classification (LCC) system maps using data from two digital soil maps, which were compared with measurements from 1305 field sites in the Dosso region of Niger. Based on these, we developed 250 m gridded maps of LCC values across the region. Across the region, land is severely limited for agricultural use because of low available water-holding capacity (AWC) that limits dry season agricultural potential, especially without irrigation, and requires more frequent irrigation where supplemental water is available. If the AWC limitation is removed in the LCC algorithm (i.e., simulating the use of sufficient irrigation or a much higher and more evenly distributed rainfall), the dominant limitations become less severe and more spatially varied. Finally, we used additional soil fertility data from the field samples to illustrate the value of collecting contemporary data for dynamic soil properties that are critical for crop production, including soil organic carbon, phosphorus and nitrogen.

scholarly journals Developing a User Friendly Decision Tool for Agricultural Land Use Allocation at a Regional Scale

2017 ◽  
Vol 11 (5) ◽  
pp. 11 ◽  
Author(s):  
Sumbangan Baja ◽  
Samsu Arif ◽  
Risma Neswati
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Agricultural Land ◽  
Land Suitability ◽  
Soil Survey ◽  
Agricultural Land Use ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation ◽  
Land Use Allocation ◽  
User Friendly

Agricultural land use planning should always be guided by a reliable tool to ensure effective decision making in the allocation of land use and activities. The primary aim of this study is to develop a user friendly system on a spatial basis for agricultural land suitability evaluation of four groups of agriculture commodities, including food crops, horticultural crops, perennial (plantation) crops, grazing, and tambak (fish ponds) to guide land use planning. The procedure used is as follows: (i) conducting soil survey based on generated land mapping units; (ii) developing soil database in GIS; and (iii) designing a user friendly system. The data bases of the study were derived from satellite imagery, digital topographic map, soil characteristics at reconnaissance scale, as well as climate data. Land suitability evaluation in this study uses the FAO method. The study produces a spatial based decision support tool called SUFIG-Wilkom that can give decision makers sets of information interactively for land use allocation purposes.This user friendly system is also amenable to various operations in a vector GIS, so that the system may accommodate possible additional assessment of other land use types.

scholarly journals Economics of Compensation in Development Rights Programs

1975 ◽  
Vol 4 (2) ◽  
pp. 185-194
Author(s):  
Barry C. Field ◽  
Jon M. Conrad
Keyword(s):  
Land Use ◽  
Urban Sprawl ◽  
Land Use Planning ◽  
Agricultural Land ◽  
The United States ◽  
Industrial Property ◽  
Planning And Control ◽  
The Face ◽  
And Control ◽  
Market Pressures

Interest in land-use planning and control in the United States has recently shifted to a variety of non-conventional tools in an attempt to attain results that have eluded older techniques such as traditional zoning. A major land-use objective has been to continue certain existing land uses in the face of market pressures to convert to more intensive uses. This has been the case, for example, with ecologically fragile areas such as wetlands, or environmentally valuable areas such as scenic land, which are also economically attractive for development into housing or industrial property. In recent years interest has also turned to preservation of agricultural land, particularly in areas near urban concentrations that are feeling the effects of urban sprawl.

scholarly journals ARAHAN PENGGUNAAN LAHAN SUB DAERAH ALIRAN SUNGAI (DAS) TELAGAWAJA PROVINSI BALI

2015 ◽  
Vol 9 (1) ◽  
pp. 19
Author(s):  
Karsun Karsun ◽  
I Nyoman Merit ◽  
I Wayan Suarna
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Water Conservation ◽  
Erosion Rate ◽  
Agricultural Land ◽  
Director General ◽  
Conservation Area ◽  
Severe Erosion ◽  
Alternative Measures ◽  
Management Recommendations

Telagawaja Sub-Watershed is upper part watershed of Unda Watershed. As upper watershed, Telagawaja sub watershed has functions as conservation area, water catchment area, and managed in order to keep sub watershed environment not degradated. This research objectives are to identify the characteristics of the land, the function of the area, and the erosion potential rate (TBE), as well as land management recommendations on Telagawaja Sub-Watershed. The identification of land is conducted by analyzing the characteristics of thematic maps in study area. The directives of classification land function is determined by the Minister of Agriculture Number.837/Kpts/Um/ 11/1980 and Number: 683/Kpts/Um/8/1981. The prediction of actual erosion is calculated by USLE formula for the agriculture area, while non-agricultural land use is applied Snyder formula (1980) in Asdak (2010). Erosion class and erosion rate (TBE) are determined based on the Director General of Reforestation and Land Rehabilitation Department of Forestry Number.041/Kpts/V/1998. Determination for the amount of erosion is still can be allowed using the method of Thompson (1957) in Arsyad (2010) which based on soil properties attached to Telagawaja sub watershed. The research shows that Telagawaja Sub-Watershed characteristic is an area which is susceptible to erosion.The analysis shows that the direction of the area function Telagawaja sub-watershed consists of an area of 7337.28 Ha of protection forest (66.01%), and the function of a buffer area 3.778.31 Ha (33.99%). The result of the study on Telagawaja sub-watershed erosion is 2777.07 tonnes ha-1year-1. Erosion class and erosion rate of Telagawaja Sub-Watershed vary from very light to very severe. Erosion class and erosion rate (TBE) with category severe to very severe consist an area of 2.071,97 ha (18,64 %) from total sub-watershed area. Land use planning implemented by applying alternative measures of soil and water conservation can reduce the rate of erosion of 2777.07 tonnes ha-1year-1 to 611.00 tonnes ha-1year-1 or less 2166.07 tonnes ha- 1year-1.

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