scholarly journals Evaluation of Agricultural Land Suitability Based on RS, AHP, and MEA: A Case Study in Jilin Province, China

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 370
Author(s):  
Cheng Han ◽  
Shengbo Chen ◽  
Yan Yu ◽  
Zhengyuan Xu ◽  
Bingxue Zhu ◽  
...  
Keyword(s):  
Water Resources ◽  
Agricultural Land ◽  
Regional Scale ◽  
Water Shortage ◽  
Land Suitability ◽  
Jilin Province ◽  
Limiting Factors ◽  
Available Phosphorus ◽  
Element Analysis ◽  
Surface Water Resources

The suitability evaluation of agricultural land at the regional scale is of great significance for protecting land and water resources and building sustainable agricultural systems. Based on climate, soil, topographical, and surface water resources, land suitability index (LSI) data for maize, rice, and soybeans are established using an analytical hierarchy process and matter element analysis (AHP–MEA) model in Jilin Province, China. The results show that there is a significant positive linear correlation between the LSI and the measured yield, which indicates that the model has an ideal effect and certain reference and extension significance. The main limiting factors for maize and soybean planting are pH, total nitrogen (TN), available phosphorus (AP), and soil texture, while water shortage limits rice planting. Different spatial structure optimization schemes for planting are established using the LSI and measured yield, along with economic indices. This study shows that the scheme that integrates policy and cost can make full use of land and water resources and promote the economic growth of agriculture. After optimization, the planting areas of maize, rice, and soybeans were 7.22, 2.44, and 0.71 million ha, respectively, representing an increase of 15.71 billion yuan over the agricultural GDP for the existing planting structure. It is expected that this study will provide a basis for follow-up studies on crop cultivation suitability.

Assessing agricultural land suitability in the Fakkeh region, Iran

2017 ◽  
Vol 46 (1) ◽  
pp. 57-65 ◽  
Author(s):  
Mohammad Albaji ◽  
Abrahim Alboshokeh
Keyword(s):  
Soil Texture ◽  
Management Practices ◽  
Agricultural Land ◽  
Qualitative Evaluation ◽  
Growth Period ◽  
Evaluation Study ◽  
Land Suitability ◽  
Limiting Factors ◽  
Maize Production ◽  
Light Soil

Land suitability assessments can provide useful information to help optimize agricultural land use. Due to the current lack of appropriate land management practices in the Fakkeh region, southwest Iran, a land suitability evaluation study for key agricultural crops, including wheat, alfalfa, maize and barley, covering 43,700 ha was undertaken. Qualitative evaluation was carried out using two methods, the simple limitation and parametric methods (Storie and square root method), to compare land and climate characteristics with crop needs. The most important limiting factors in wheat, alfalfa and barley production included the physical properties of the soil, especially light soil texture. The major limiting factors in maize production were low relative humidity and high n/ N ratio during the plant growth period, light soil texture, soil salinity and alkalinity.

scholarly journals EVALUASI KESESUAIAN LAHAN UNTUK TANAMAN KACANG TANAH DI SUB DAS PANASEN KABUPATEN MINAHASA

2021 ◽  
Vol 1 (2) ◽  
pp. 41-46
Author(s):  
Sukmawati Misi ◽  
Murdiyanto Murdiyanto ◽  
Grace F.E Suoth
Keyword(s):  
Nutrient Availability ◽  
Agricultural Land ◽  
Soil Analysis ◽  
Nutrient Retention ◽  
Research Area ◽  
Land Suitability ◽  
Land Evaluation ◽  
Limiting Factors ◽  
Limiting Factor ◽  
Root Media

Peanut is a plant that has an important role in land and has a high selling value. Therefore it is necessary to take appropriate steps to develop peanut cultivation in the Panasen Sub-watershed by knowing the level of land suitability. The problems faced by the community are 1) lack of interest in the community to plant peanuts, 2) land-use change from agricultural land to lodging land 3) land evaluation has never been carried out for peanut plants in the area. The study used a land unit approach supported by soil analysis, plant growth requirements, and matching. The results showed that the research area was classified as suitable for peanut plants with a suitability class S2 (quite suitable) with a total of 4 land units, namely S2rfns (945.41 ha), S2sn (1675.15 ha), S2srn (938.05 ha), S2sn (13.45 ha) and class suitability of S3 (according to marginal) with 2 land units, namely S3s (12.95 ha), S3s (15.67 ha). The limiting factors for suitability class S2 are root media (r), nutrient retention (f), nutrient availability (n) and terrain (s). The limiting factor for suitability class S3 is the field (s). The limiting factor for N1 land suitability is nutrient availability (n), root media (r) and terrain (s). The limiting factors for conformity class N2 are the field (s) and the rooting medium (r).

scholarly journals Assessment of Surface Water Resources of Eastern Iraq

Hydrology ◽  
2019 ◽  
Vol 6 (3) ◽  
pp. 57 ◽  
Author(s):  
Khayyun A. Rahi ◽  
Abdul-Sahib T. Al-Madhhachi ◽  
Safaa N. Al-Hussaini
Keyword(s):  
Water Resources ◽  
Water Reservoir ◽  
Water Shortage ◽  
The United States ◽  
Main Stream ◽  
Regression Equations ◽  
Surface Water Resources ◽  
Catchment Areas ◽  
Significant Difference ◽  
Storage Scheme

Large amounts of runoff is generated in western Iran and flows into eastern Iraq due to relatively intensive rainstorms along the international border line. Currently, most of this runoff is being wasted by evaporation instead of being stored and preserved for later uses. This paper is an attempt to (1) assess and harness the water resources of eastern Iraq, and (2) propose a storage scheme to use the harvested water in the water shortage times. The runoff of eight catchment areas (Mandali, Qazania, Tursaq, Mirzabad, Galal Badra, al-Chabbab, al-Teeb, and Dwaireeg) is estimated using regression equations derived for areas in the western and southern parts of the United States of America. Several models were selected from two states based on catchment area location, average terrain elevation, average annual precipitation, and slope of main stream. Observed runoffs of Tursaq, Galal Badra, and al-Chabbab streams are analyzed using normal probability plots. Statistical analysis shows that there is no a statistically significant difference between observed and predicted runoffs for different return periods. The study proposes a water reservoir to be constructed within al-Shiwiaja Marsh to accommodate runoff generated within Mandali, Qazania, Tursaq, Mirzabad, and Galal Badra streams. The capacity of the proposed reservoir is 3000 Mm3 and the expected inflow from these streams is projected to exceed the capacity of the reservoir. The proposed reservoir will contribute to the flow of the River Tigris during the non-rainy seasons. More studies are needed to propose and design a storage scheme for two remaining streams (al-Teeb and Dwaireeg).

scholarly journals Geographic Information System-Based Spatial Analysis of Agricultural Land Suitability in Yogyakarta

2016 ◽  
Vol 47 (2) ◽  
pp. 171
Author(s):  
Harini Rika ◽  
Bowo Susilo ◽  
Emilya Nurjani
Keyword(s):  
Agricultural Sector ◽  
Agricultural Land ◽  
Nutrient Retention ◽  
Soil Condition ◽  
Land Suitability ◽  
Limiting Factors ◽  
Gis Technique ◽  
Priority Direction ◽  
Suitability Maps ◽  
Nutrients Availability

Agricultural sector is the main economic activity of the society and also the source of people economy strengthening. The purpose of this study was to determine the priority direction of the development of the agricultural sector, mainly to determine the most appropriate types of commodities for each land unit that serve as local agricultural base. AHP method was integrated with GIS technique to analyze as well as to create land suitability maps for food crops. The results showed that 25.4 percent of lands in Yogyakarta is highly suitable for rice, while only 16 and 2 percent, respectively, is suitable for groundnut and corn. The limiting factors to the land suitability for these three commodities were plant roots condition, nutrients availability, nutrient retention, and soil condition. Suitable lands for rice, groundnut and corn were distributed at Ledok Wonosari, Middle Slope of Merapi, Lower Slope of Merapi and Batur Agung

Perspective of Water Resources in Japan and in the World

1991 ◽  
Vol 23 (1-3) ◽  
pp. 11-18
Author(s):  
Tamon Ishibashi
Keyword(s):  
Developing Countries ◽  
Water Resources ◽  
Water Shortage ◽  
Water Shortages ◽  
The World

Recently, problems of water shortage are becoming global in both developed and developing countries. This is due to tremendous population increases and also urbanization and industrialization. In this paper, countermeasures for future water shortages are described.

scholarly journals Assessment of water resource security in karst area of Guizhou Province, China

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Liying Liu
Keyword(s):  
Neural Network ◽  
Water Resources ◽  
Water Resource ◽  
Bp Neural Network ◽  
Back Propagation ◽  
Water Shortage ◽  
Guizhou Province ◽  
Karst Area ◽  
Water Resource Security ◽  
Resource Security

AbstractThis paper presents the assessment of water resource security in the Guizhou karst area, China. A mean impact value and back-propagation (MIV-BP) neural network was used to understand the influencing factors. Thirty-one indices involving five aspects, the water quality subsystem, water quantity subsystem, engineering water shortage subsystem, water resource vulnerability subsystem, and water resource carrying capacity subsystem, were selected to establish an evaluation index of water resource security. In addition, a genetic algorithm and back-propagation (GA-BP) neural network was constructed to assess the water resource security of Guizhou Province from 2001 to 2015. The results show that water resource security in Guizhou was at a moderate warning level from 2001 to 2006 and a critical safety level from 2007 to 2015, except in 2011 when a moderate warning level was reached. For protection and management of water resources in a karst area, the modes of development and utilization of water resources must be thoroughly understood, along with the impact of engineering water shortage. These results are a meaningful contribution to regional ecological restoration and socio-economic development and can promote better practices for future planning.

scholarly journals Agricultural Land Suitability Assessment Using Satellite Remote Sensing-Derived Soil-Vegetation Indices

Land ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 223
Author(s):  
Rubaiya Binte Mostafiz ◽  
Ryozo Noguchi ◽  
Tofael Ahamed
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Agricultural Land ◽  
Expert Knowledge ◽  
Vegetation Indices ◽  
Land Suitability ◽  
Assessment System ◽  
Yield Estimation ◽  
Suitability Assessment ◽  
Land Suitability Assessment

Satellite remote sensing technologies have a high potential in applications for evaluating land conditions and can facilitate optimized planning for agricultural sectors. However, misinformed land selection decisions limit crop yields and increase production-related costs to farmers. Therefore, the purpose of this research was to develop a land suitability assessment system using satellite remote sensing-derived soil-vegetation indicators. A multicriteria decision analysis was conducted by integrating weighted linear combinations and fuzzy multicriteria analyses in a GIS platform for suitability assessment using the following eight criteria: elevation, slope, and LST vegetation indices (SAVI, ARVI, SARVI, MSAVI, and OSAVI). The relative priorities of the indicators were identified using a fuzzy expert system. Furthermore, the results of the land suitability assessment were evaluated by ground truthed yield data. In addition, a yield estimation method was developed using indices representing influential factors. The analysis utilizing equal weights showed that 43% of the land (1832 km2) was highly suitable, 41% of the land (1747 km2) was moderately suitable, and 10% of the land (426 km2) was marginally suitable for improved yield productions. Alternatively, expert knowledge was also considered, along with references, when using the fuzzy membership function; as a result, 48% of the land (2045 km2) was identified as being highly suitable; 39% of the land (2045 km2) was identified as being moderately suitable, and 7% of the land (298 km2) was identified as being marginally suitable. Additionally, 6% (256 km2) of the land was described as not suitable by both methods. Moreover, the yield estimation using SAVI (R2 = 77.3%), ARVI (R2 = 68.9%), SARVI (R2 = 71.1%), MSAVI (R2 = 74.5%) and OSAVI (R2 = 81.2%) showed a good predictive ability. Furthermore, the combined model using these five indices reported the highest accuracy (R2 = 0.839); this model was then applied to develop yield prediction maps for the corresponding years (2017–2020). This research suggests that satellite remote sensing methods in GIS platforms are an effective and convenient way for agricultural land-use planners and land policy makers to select suitable cultivable land areas with potential for increased agricultural production.

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