Floods are phenomenon with significant socio-economic implications mainly for human loss, agriculture, livestock, soil loss and land degradation, for which many researchers try to identify the most appropriate methodo...Floods are phenomenon with significant socio-economic implications mainly for human loss, agriculture, livestock, soil loss and land degradation, for which many researchers try to identify the most appropriate methodologies by analyzing their temporal and spatial development. This study therefore attempts to employ the GIS-based multi-criteria decision analysis and analytical hierarchy process techniques to derive the flood risks management on rice productivity in the Gishari Agricultural Marshland in Rwamagana district, Rwanda. Here, six influencing potential factors to flooding, including river slope, soil texture, Land Use Land Cover through Land Sat 8, rainfall, river distance and Digital Elevation Model are considered for the delineation of flood risk zones. Data acquisition like Landsat 8 images, DEM, land use land cover, slope, and soil class in the study area were considered. Results showed that if the DEM is outdated or inaccurate due to changes in the terrain, such as construction, excavation, or erosion, the predicted flood patterns might not reflect the actual water flow. This could result unexpected flood extents and depths, potentially inundating rice fields that were not previously at risk and this, expectedly explained that the increase 1 m in elevation would reduce the rice productivity by 0.17% due to unplanned flood risks in marshland. It was found that the change in rainfall distribution in Gishari agricultural marshland would also decrease the rice productivity by 0.0018%, which is a sign that rainfall is a major factor of flooding in rice scheme. Rainfall distribution plays a crucial role in flooding analysis and can directly impact rice productivity. Oppositely, another causal factor was Land Use Land Cover (LULC), where the Multivariate Logistic Regression Model Analysis findings showed that the increase of one unit in Land Use Land Cover would increase rice productivity by 0.17% of the total rice productivity from the Gishari Agricultural Marshland. Based on findings from these techniques, the Gishari Agricultural Marshlands having steeped land with grassland is classified into five classes of flooding namely very low, low, moderate, high, and very high which include 430%, 361%, 292%, 223%, and 154%. Government of Rwanda and other implementing agencies and major key actors have to contribute on soil and water conservation strategies to reduce the runoff and soil erosion as major contributors of flooding.展开更多
The situation of the contemporary economic systems is based on their ability to ensure optimal response to the customer needs. There are several important groups of clients, who may determine development processes and...The situation of the contemporary economic systems is based on their ability to ensure optimal response to the customer needs. There are several important groups of clients, who may determine development processes and who are recipients of public services. They include： residents, entrepreneurs, tourists, and State Treasury. Local governments are equipped with a range of legal instruments to provide public services addressed to the selected clients. The objective of this paper is to present the application of the AHP method to assess the significance of the selected categories of public services for different groups of clients in Poland. The results allow setting priorities for future policy and adjust the tasks to the specific expectations of each group of clients. The model of assessment of public services was built using the analytic hierarchy process （AHP）. Since the 1970＇s, this multicriteria decision-support method has been used by researchers and practitioners in many areas of socioeconomic life. The case study presented in this paper involved 14 experts--public administration workers in one of the districts in Southern Poland. The survey consisted of two stages. First, they assessed--using the AHP--the influence of each group of customers on local development processes. The most important was ＂business＂ （priority 38.7%）, followed by ＂tourists＂ （29.7%）, ＂citizens＂ （26.1%）, and ＂central administration＂ （5.5%）. Second, they evaluated at the five-point Liken scale the influence of over 20 different public services with respect to different groups of clients. The results were aggregated using arithmetic mean and multiplied by the priorities of the clients. The synthesized final score indicated the most significant public activities overall, which were ＂roads＂ （4.16）, ＂transport＂ （3.93）, and ＂tourism＂ （3.84）.展开更多
文摘Floods are phenomenon with significant socio-economic implications mainly for human loss, agriculture, livestock, soil loss and land degradation, for which many researchers try to identify the most appropriate methodologies by analyzing their temporal and spatial development. This study therefore attempts to employ the GIS-based multi-criteria decision analysis and analytical hierarchy process techniques to derive the flood risks management on rice productivity in the Gishari Agricultural Marshland in Rwamagana district, Rwanda. Here, six influencing potential factors to flooding, including river slope, soil texture, Land Use Land Cover through Land Sat 8, rainfall, river distance and Digital Elevation Model are considered for the delineation of flood risk zones. Data acquisition like Landsat 8 images, DEM, land use land cover, slope, and soil class in the study area were considered. Results showed that if the DEM is outdated or inaccurate due to changes in the terrain, such as construction, excavation, or erosion, the predicted flood patterns might not reflect the actual water flow. This could result unexpected flood extents and depths, potentially inundating rice fields that were not previously at risk and this, expectedly explained that the increase 1 m in elevation would reduce the rice productivity by 0.17% due to unplanned flood risks in marshland. It was found that the change in rainfall distribution in Gishari agricultural marshland would also decrease the rice productivity by 0.0018%, which is a sign that rainfall is a major factor of flooding in rice scheme. Rainfall distribution plays a crucial role in flooding analysis and can directly impact rice productivity. Oppositely, another causal factor was Land Use Land Cover (LULC), where the Multivariate Logistic Regression Model Analysis findings showed that the increase of one unit in Land Use Land Cover would increase rice productivity by 0.17% of the total rice productivity from the Gishari Agricultural Marshland. Based on findings from these techniques, the Gishari Agricultural Marshlands having steeped land with grassland is classified into five classes of flooding namely very low, low, moderate, high, and very high which include 430%, 361%, 292%, 223%, and 154%. Government of Rwanda and other implementing agencies and major key actors have to contribute on soil and water conservation strategies to reduce the runoff and soil erosion as major contributors of flooding.
文摘The situation of the contemporary economic systems is based on their ability to ensure optimal response to the customer needs. There are several important groups of clients, who may determine development processes and who are recipients of public services. They include： residents, entrepreneurs, tourists, and State Treasury. Local governments are equipped with a range of legal instruments to provide public services addressed to the selected clients. The objective of this paper is to present the application of the AHP method to assess the significance of the selected categories of public services for different groups of clients in Poland. The results allow setting priorities for future policy and adjust the tasks to the specific expectations of each group of clients. The model of assessment of public services was built using the analytic hierarchy process （AHP）. Since the 1970＇s, this multicriteria decision-support method has been used by researchers and practitioners in many areas of socioeconomic life. The case study presented in this paper involved 14 experts--public administration workers in one of the districts in Southern Poland. The survey consisted of two stages. First, they assessed--using the AHP--the influence of each group of customers on local development processes. The most important was ＂business＂ （priority 38.7%）, followed by ＂tourists＂ （29.7%）, ＂citizens＂ （26.1%）, and ＂central administration＂ （5.5%）. Second, they evaluated at the five-point Liken scale the influence of over 20 different public services with respect to different groups of clients. The results were aggregated using arithmetic mean and multiplied by the priorities of the clients. The synthesized final score indicated the most significant public activities overall, which were ＂roads＂ （4.16）, ＂transport＂ （3.93）, and ＂tourism＂ （3.84）.
